git shortlog --no-merges -ns 4.6.0..4.7.0

git shortlog --no-merges -ns 4.6.0..4.7.0

June, 2022

The summer update for OpenCV 4.x has been released.

Credits:

• OpenCV China team for the new hardware for CI Build Farm.
• @alalek, @asenyaev, @fengyuentau for great work on OpenCV CI migration to Github Actions

Highlights of this release:

• OpenCV project infrastructure migrating on GitHub Actions workflows for CI and release purposes

• Added support for GCC 12, Clang 15

• Added support for FFmpeg 5.0

• DNN module patches:

  • Improved layers / activations / supported more models:

    • LSTM (+CUDA), resize (+ONNX13), Sign, Shrink, Reciprocal, depth2space, space2depth
    • fixes in Reduce, Slice, Expand

  • Disabled floating-point denormals processing #21521

  • Changed layer names in ONNX importer to support "output" entities properly

  • Added TIM-VX NPU backend support: https://github.com/opencv/opencv/wiki/TIM-VX-Backend-For-Running-OpenCV-On-NPU

  • Added Softmax parameter to ClassificationModel

  • Added audio speech recognition sample (C++) #21458

  • Intel® Inference Engine backend ( OpenVINO™ ):

    • added initial support for OpenVINO 2022.1 release
    • removed support of legacy API (dropped since 2020.3)

• G-API module:

  • G-API framework:

    • Introduced a Grayscale image format support for cv::MediaFrame: #21511;
    • Enabeled .reshape() support in the CPU backend: #21669;
    • Fixed possible hang in streaming execution mode with constant inputs: #21567;
    • Introduced proper error/exception propagation in the asynchronous streaming execution mode: #21660;
    • Fixed new stream event handling: #21731.

  • Fluid backend:

    • Fixed horizontal pass in the Resize kernel, fixed Valgrind issues: #21144;
    • Extended Resize kernel with F32 version: #21678, added AVX: #21728.
    • Enabled dynamic dispatch for Split4 kernel: #21520;
    • Enabled dynamic dispatch for Merge3 kernel: #21529;
    • Added a SIMD version for DivC kernel: #21474;
    • Added a SIMD version for DivRC kernel: #21530;
    • Enabled dynamic dispatch for Add kernel: #21686;
    • Enabled dynamic dispatch for Sub kernel: #21746;
    • Added a SIMD version for ConvertTo kernel: #21777;
    • Fixed kernel matrix size for Sobel kernel: #21613.

  • OpenCL backend:

  • Intel® OpenVINO™ inference backend:

    • Fixed NV12 format support for remote memory when OpenVINO™ remote context is used: #21424.
    • Implemented correct error handling in the backend: #21579.
    • Fixed ngraph warnings #21362.

  • OpenCV AI Kit backend:

    • Introduced a new backend to program OpenCV AI Kit boards via G-API. Currently the backend is in experimental state, but allows to build Camera+NN pipeline and supports heterogeneity (mixing with host-side code): #20785, #21504.

  • Media integration:

    • Enabled GPU inference with oneVPL and DirectX11 on Windows in Intel® OpenVINO™ inference backend: #21232, #21618, #21658, #21687, #21688. Now GPU textures decoded by oneVPL decoder can be preprocessed and inferred on GPU with no extra host processing.
    • Enabled oneVPL support on Linux: #21883.
    • Extended GStreamer pipeline source with Grayscale image format support: #21560.

  • Python bindings:

    • Exposed GStreamer pipeline source in Python bindings: #20832.
    • Fixed Python bindings for CudaBufferPool, cudacodec and cudastereo modules in OpenCV Contrib.

  • Samples:

    • Introduced a pipeline modelling tool for cascaded model benchmarking: #21477, #21636, #21719. The tool supports a declarative YAML-based config to describe pipelines with simulated pre-/post-processing. The tool collects and reports latency and throughput information for the modelled pipeline.

  • Other changes and fixes:

    • Moved GKernelPackage into cv:: namespace by default, its cv::gapi:: alias remain for compatibility: #21318;
    • Moved Resize kernel from core to imgproc kernel packages for CPU, OpenCL, and Fluid backends: #21157. Also moved tests appropriately: #21475;
    • Avoided sporadic test failures in DivC: #21626;
    • Fixed 1D Mat handling in the framework: #21782;
    • Reduced the number of G-API generated accuracy tests: #21909.

• And many other contributions, including:

  • Support downloading 3rdparty resources from Gitcode & Gitlab-style mirrors #21531

  • Added NEON support in builds for Windows on ARM #21630

  • Add n-dimensional transpose to core #21703

  • (opencv_contrib) Add Connected Components Labeling in CUDA #3153

git shortlog --no-merges -ns 4.5.5..4.6.0
    58  Alexander Alekhin
    19  Andrey Senyaev
    11  Suleyman TURKMEN
    10  Anna Khakimova
    10  Maksim Shabunin
     9  rogday
     8  Anatoliy Talamanov
     7  Vadim Levin
     7  Vincent Rabaud
     6  Aleksei Trutnev
     6  Sergey Ivanov
     4  Victor
     4  Yuantao Feng
     4  Zihao Mu
     3  Dmitry Budnikov
     3  Kataev Victor
     3  Kumataro
     3  Pierre Chatelier
     3  Trutnev Aleksei
     3  berak
     3  cudawarped
     3  fengyuentau
     2  Alexander Smorkalov
     2  Alexey Smirnov
     2  Christine Poerschke
     2  HAN Liutong
     2  Harvey
     2  Lukas-Alexander Weber
     2  OpenCV Developers
     2  Smirnov Egor
     2  Stefano Allegretti
     2  Tsukasa Sugiura
     2  Yulv-git
     2  Yuriy Chernyshov
     2  lamm45
     2  luz paz
     2  pkubaj
     1  Alexander Conner
     1  Alexander Panov
     1  Anastasiya(Asya) Pronina
     1  Artem Saratovtsev
     1  Chen Jun
     1  Christoph Rackwitz
     1  David Fan
     1  Ed Martin
     1  Egor Smirnov
     1  Giles Payne
     1  Greg Fiumara
     1  Guillaume Gigaud
     1  Ilya Churaev
     1  Ilya Lavrenov
     1  Jan Polák
     1  Jeremy Ephron
     1  Joe Howse
     1  Joona Heikkilä
     1  Juan López Rubio
     1  Julian Szigethy
     1  KaurkerDevourer
     1  LaurentBerger
     1  Lukas Yoder
     1  Manolis Lourakis
     1  Martin Tůma
     1  Maxim Pashchenkov
     1  Namgoo Lee
     1  Oguzhan Guclu
     1  Pavel Rojtberg
     1  Phil Ruffwind
     1  Qingnan Duan
     1  Ruslan Garnov
     1  Sean McBride
     1  Sergey
     1  Sinitsina Maria
     1  Stefan Brüns
     1  Stefan Dragnev
     1  Tatsuro Shibamura
     1  Yash Singhal
     1  Yusuke Kameda
     1  Zach Lowry
     1  Zhuo Zhang
     1  dbudnikov
     1  eplankin
     1  h6197627
     1  hellodoge
     1  huangziqing
     1  luzpaz
     1  masa-iwm
     1  mohawk2
     1  shengwenxue
     1  sivanov-work
     1  xiong-jie-y
     1  xiongzhen
     1  zihaomu

git shortlog --no-merges -ns 4.5.5..4.6.0
    11  cudawarped
     6  Alexander Panov
     5  Suleyman TURKMEN
     4  Andrey Senyaev
     3  AleksandrPanov
     3  Alexander Alekhin
     2  Pavel Rojtberg
     2  Vincent Rabaud
     1  Aditya Mehrotra
     1  Aleksandr Panov
     1  Alexander Smorkalov
     1  Dan
     1  Dan Oprea
     1  Matti Jukola
     1  Mitul Vekariya
     1  Namgoo Lee
     1  Ninh Huynh
     1  Pranay Pandit
     1  Simon Traub
     1  Stefano Allegretti
     1  huangziqing
     1  leatherwang
     1  مهدي شينون (Mehdi Chinoune)

June, 2022

OpenCV 3.4.18 has been released. Bug fixes, optimizations and other enhancements are propagated into OpenCV 4.6.0.

Long-lived OpenCV 3.x release series is here since 2015. We are going to reduce support of 3.x branch in the future to move forward to OpenCV 5.0.

December, 2021

New Year's update for OpenCV 4.x has been released.

Highlights of this release:

• Audio support as part of VideoCapture API: MSMF #19721 + GStreamer #21264

• Updated SOVERSION handling rules: #21178

• DNN module patches:

  • Added tests to cover ONNX conformance test suite: #21088

  • Improved layers / activations / supported more models

  • Upgraded builtin protobuf from 3.5.2 to 3.19.1

  • More optimizations for RISC-V platform

  • Intel® Inference Engine backend ( OpenVINO™ ):

    • added support for OpenVINO 2021.4.2 LTS release

• G-API module:

  • G-API framework:

    • Fixed issue with accessing 1D data from cv::RMat: #21103;
    • Restricted passing the G-API types to graph inputs/outputs for execution: #21041;
    • Various fixes in G-API Doxygen reference: #20924;
    • Renamed various internal structures for consistency #20836 #21040;

  • Fluid backend:

    • Introduced a better vectorized version of Resize: #20664.
    • Added vectorized version of Multiply kernel: #21024;
    • Added vectorized version of Divide kernel: #20914;
    • Added vectorized version of AddC kernel: #21119;
    • Added vectorized version of SubC kernel: #21158;
    • Added vectorized version of MulC kernel: #21177;
    • Added vectorized version of SubRC kernel: #21231;
    • Enabled SIMD dispatching for AbsDiffC: #21204;

  • OpenCL backend:

    • Fixed sporadic test failures in Multiply kernel running on GPU: #21205;

  • Intel® OpenVINO™ inference backend:

    • Extended ie::Params to support static batch size as input to inference: #20856;
    • Enabled 2D input tensor support in IE backend: #20925;
    • Fixed various issues with imported (pre-compiled) networks: #20918;

  • Media integration:

    • Introduced a GStreamer-based pipeline source for G-API: #20709;
    • Completed the integration of Intel® oneVPL as a pipeline source for G-API #20773 with device selection #20738, asynchronous execution #20901, intial demux support #21022, and GPU-side memory allocation via DirectX 11 #21049.

  • Samples:

    • Replaced custom kernels with now-standard G-API operations in several samples #21106;
    • Moved API snippets from G-API samples to a dedicated place #20857;

  • Other changes and fixes:

    • Fixed various static analysis issues for OpenVINO 2021.4 release: #21083 and #21212;
    • Fixed various build warnings introduced after OpenVINO update: #20937;
    • Continued clean-up in the G-API test suite on GTest macros #20922 and test data #20995;
    • Added custom accuracy comparison functions to Fluid performance tests: #21150.

• And many other contributions:

  • Added QRcode encoder: #17889

  • GSoC - OpenCV.js: Accelerate OpenCV.js DNN via WebNN: #20406

  • Add conventional Bayer naming: #20970

  • (opencv_contrib) Add Radon transform function to ximgproc: #3090

  • (opencv_contrib) New superpixel algorithm (F-DBSCAN): #3093

  • Created Stitching Tool: #21020

  • Improve CCL with new algorithms and tests: #21275

  • (opencv_contrib) Update ArUco tutorial: #3126

git shortlog --no-merges -ns 4.5.4..4.5.5
    80  Alexander Alekhin
    14  Smirnov Egor
     8  Anna Khakimova
     8  Sergey Ivanov
     6  Maksim Shabunin
     6  Trutnev Aleksei
     6  Vincent Rabaud
     6  rogday
     5  Christian Clauss
     3  APrigarina
     3  Anatoliy Talamanov
     3  Harvey
     3  Maxim Pashchenkov
     3  MaximMilashchenko
     2  AleksandrPanov
     2  Andrey Senyaev
     2  Gruhuang
     2  HAN Liutong
     2  Orest Chura
     2  Sinitsina Maria
     2  UncleLLD
     2  Zhuo Zhang
     2  alessandro faria
     2  nickjackolson
     1  ABHINAV JHA
     1  Anastasiya Pronina
     1  Anastasiya(Asya) Pronina
     1  Andrew Ryrie
     1  Chengrui Wang
     1  Fabrice Fontaine
     1  Hanxi Guo
     1  Ihsan Soydemir
     1  Jonathan Dönszelmann
     1  Jong Sin Kim
     1  Julie Bareeva
     1  Lukas Weber
     1  Lukas-Alexander Weber
     1  Maxim Milashchenko
     1  Michael Davis
     1  Michel Promonet
     1  Nicholas Ho
     1  Nikolaos Pappas
     1  Noah Stier
     1  OrestChura
     1  Patrick Whalen
     1  Piotr Kubaj
     1  Polina Smolnikova
     1  Qiushi Zheng
     1  Rostislav Vasilikhin
     1  Ruan
     1  SegaraRai
     1  Sergiu Deitsch
     1  ShuangLiu1992
     1  Simon Wilson
     1  Souriya Trinh
     1  Stanislaw Halik
     1  Stefano Allegretti
     1  Suleyman TURKMEN
     1  Supernovae
     1  Tejas M R
     1  Wehzie
     1  ZaKiiiiiiiii
     1  atrutnev
     1  berak
     1  catree
     1  cpengu
     1  cqn2219076254
     1  cudawarped
     1  dwardor
     1  eplankin
     1  icestraw
     1  jcong
     1  shengyu
     1  tv3141
     1  utibenkei
     1  yuki takehara
     1  zcx

git shortlog --no-merges -ns 4.5.4..4.5.5
     6  Alexander Smorkalov
     4  Suleyman TURKMEN
     2  Kumataro
     2  Pavel Rojtberg
     2  Sergiu Deitsch
     1  Alberto Luaces
     1  Aleksandr Panov
     1  AleksandrPanov
     1  Alexander Alekhin
     1  Julie Bareeva
     1  Noah Stier
     1  Onuralp SEZER
     1  Pranay
     1  Qingnan Duan
     1  Rostislav Vasilikhin
     1  Saurabh Khanduja
     1  Sérgio M. Basto
     1  ToFam
     1  Tomoaki Teshima
     1  TracelessLe
     1  Vincent Rabaud
     1  Your Name
     1  cudawarped
     1  scloke
     1  クロポ

December, 2021

OpenCV 3.4.17 has been released. Bug fixes, optimizations and other enhancements are propagated into OpenCV 4.5.5.

Long-lived OpenCV 3.x release series is here since 2015. We are going to reduce support of 3.x branch in the future to move forward to OpenCV 5.0.

October, 2021

The fall update for OpenCV 4.x has been released.

Highlights of this release:

• GSoC 2021 is over. 11 projects are successful, and most of the results are already merged into OpenCV tree and available in 4.5.4 (in the main repository or in opencv_contrib). Here is the list of merged functionality:
  • 8-bit quantization in DNN Module: #20228 + onnx importer #20535
  • Improved OpenCV bindings for Julia: opencv_contib#3009
  • Speech recognition sample: #20291
  • Optimizing OpenCV DNN for RISC-V: #20287 + #20521
  • Tutorial for Universal Intrinsics and parallel_for_ for efficient cross-platform algorithm implementation: #20361

• DNN module patches:

  • Improved layers / activations / supported more models:

    • GRU, CumSum, Max, Min, ExpandDims
    • Fixed convolution with asymmetric padding
    • Fixed Unsqueeze (ONNX opset 13)
    • Fixed several memory access issues in OpenCL kernels

  • Implement CTC prefix beam search decode for TextRecognitionModel: #20524

  • Added SoftNMS implementation: #20813

  • Intel® Inference Engine backend ( OpenVINO™ ):

    • added support for OpenVINO 2021.4.1 LTS release
    • added support for models with non-FP32 outputs or for outputs with 1D layout

• G-API module:

  • G-API framework:

    • Introduced generic visitor(s) for the G-API's own implementation of variant<> data structure: #20039.
    • Introduced a full-featured graph reshape support for the heterogeneous graphs: #20705.
    • Fixed cv::RMat handling in the regular execution mode: #20593.
    • Fixed cv::RMat and introduced cv::MediaFrame handling with the desync() operation: #20747.

  • OpenVINO™ Toolkit backend:

    • Introduced FP16 data type support in the OpenVINO™ inference backend: #20490.
    • Fixed issues with incorrect precision and preprocessing options set for imported binary network blobs: #20528;
    • Fixed issue with possible extra external resources being held during the inference execution, causing hangs at some platforms (e.g. with GStreamer memory in): #20791.

  • Python bindings:

    • Extended OpenVINO™ inference backend parameters in Python with methods to configure constant input layers and the number of asynchronous infer requests: #20508;
    • Aligned the compileStreaming() behavior in Python with the C++ version: #20555;

  • Serialization:

    • Covered serialization-related methods with Doxygen documentation: #20163;
    • Added serialization support for graph constant data: #20372;
    • Added serialization support for the cv::MediaFrame data structure: #20329;

  • Media integration:

    • Merged the first bits of the upcoming oneVPL integration for accelerated Media on Windows;

  • Samples and demos:

    • Added various graph-level optimizations to the MTCNN demo: #20383, #20474;
    • Extended the Semantic Segmentation demo with new type of networks (unet-camvid-onnx-0001): #20476;
    • Fixed various issues in the Python port of the gaze estimation demo: #20510.

  • Other changes and fixes:

    • Fixed various issues with ONNX RT inference tests: #20359.
    • Extended Render fixture with more parameters: #20771.

• And many other contributions:

  • Add DNN-based face detection and face recognition into modules/objdetect: #20422

  • Restore LineSegmentDetector (LSD) implementation

  • Python: cv.Mat wrapper over numpy.ndarray is introduced to handle issues with passing of 3D arrays into C++ algorithms: #19091

  • Python: support OpenCV extension with pure Python modules: #20611

  • Debugging: Add gdb pretty printer for cv::Mat: #20547

  • Add Quicklook for Mat on iOS and macOS: #20457

  • Add generation of new type of radon checkerboard: #20735

git shortlog --no-merges -ns 4.5.3..4.5.4
    53  Alexander Alekhin
    10  Smirnov Egor
     9  Anatoliy Talamanov
     8  rogday
     7  Sergey Ivanov
     6  AleksandrPanov
     6  Suleyman TURKMEN
     5  Alexander Panov
     5  Dale Phurrough
     5  Giles Payne
     5  SamFC10
     4  Julia Bareeva
     4  Vadim Levin
     3  Dmitry Budnikov
     3  HAN Liutong
     2  Alexander Smorkalov
     2  Alexey Smirnov
     2  Francesco Petrogalli
     2  Iyad Ahmed
     2  Jonas Vautherin
     2  Maxim Pashchenkov
     2  Stanislaw Halik
     2  Vincent Rabaud
     2  WJJ1995
     2  YashasSamaga
     2  Zhuo Zhang
     2  Zihao Mu
     2  berak
     2  thezane
     1  Abhinav Sharma
     1  Amir Tulegenov
     1  Cavendish-Koo
     1  César Gouveia
     1  Daniel Playfair Cal
     1  Dmitriy Fishman
     1  Duong Dac
     1  Hamdi Sahloul
     1  Ilya Lavrenov
     1  JIANG Yichen
     1  Jannik Bamberger
     1  Jebastin Nadar
     1  Lukas-Alexander Weber
     1  Mahendra Kumar
     1  Nicholas Ho
     1  Nicolai Behmann
     1  Oliver Kuckertz
     1  Pablo Romero
     1  Parsa
     1  Rohit Sutradhar
     1  Roland Meertens
     1  Ruben Gonzalez
     1  Ruslan Garnov
     1  Saikat Nanda
     1  Saša Bajtl
     1  Scott Noyes
     1  Shivanshu Tyagi
     1  Shreyas Taware
     1  Smirnov Alexey
     1  Tomoaki Teshima
     1  Tsukasa Sugiura
     1  Xerxes Battiwalla
     1  Xiaoxiao Tian
     1  Xinguang Bian
     1  Yaniv Hollander
     1  Yuantao Feng
     1  Zhang Yin
     1  ZhangYin
     1  easonycwang
     1  fortemSteve
     1  keroiber
     1  kikaxa
     1  mikael
     1  shengyu
     1  utibenkei
     1  xhawk18
     1  zyp

git shortlog --no-merges -ns 4.5.3..4.5.4
     4  Suleyman TURKMEN
     2  Alexander Alekhin
     2  Archit Rungta
     2  Yoshiaki Sato
     2  cudawarped
     1  Andreas Franek
     1  Artem Saratovtsev
     1  Gokberk Gul
     1  Paul Jurczak
     1  Pavel Rojtberg
     1  Shahnawaz Ahmed
     1  Stephen McDowell
     1  Tomoaki Teshima
     1  Vadim Levin
     1  WN90
     1  kuloPo

October, 2021

OpenCV 3.4.16 has been released. Bug fixes, optimizations and other enhancements are propagated into OpenCV 4.5.4.

Long-lived OpenCV 3.x release series is here since 2015. We are going to reduce support of 3.x branch in the future to move forward to OpenCV 5.0.

July, 2021

Summer update for OpenCV 4.x has been released.

Highlights of this release:

• highgui: added support for UI backends. Special OpenCV builds allow to select UI backend and/or load it dynamically through plugins.

• videoio: supported UMat/OpenCL hardware-accelerated video decoding/encoding through FFmpeg backend.

• video: DaSiamRPN tracker is implemented as OpenCV algorithm.

• DNN module:

  • Improved layers / activations / supported more models:

    • optimized: MatMul support in CUDA backend (#20138)
    • fixed: BatchNorm reinitialization (#20283)

  • Intel® Inference Engine backend ( OpenVINO™ ):

    • added support for OpenVINO 2021.4 LTS release
    • enabled OpenCL kernels cache in IE clDNN plugin (#20006)

• G-API module:

  • Python support:

    • Introduced a new Python Operation API: now G-API can be extended with new graph operations in Python directly: #19982;
    • Extended Python bindings with more G-API confuration options: specifying arbitrary number of NN models for the pipeline (#20157), graph compile arguments (#20196).
    • Exposed more G-API operations in Python bindings: parseSSD, parseYolo, copy, timestamp, seq_id (#20271).

  • Inference support:

    • Added FP16 data type handling in the OpenVINO™ inference backend;
    • Introduced inference with remote context in the OpenVINO™ inference backend (#20156), also extended cv::MediaFrame data structure to carry extra information about remote memory when possible (20151);

  • Operations:

    • Added Transpose operation (#20107);
    • Fixed a possible ambiguous overload problem in parseSSD operation.

  • Demos:

    • Introduced a MTCNN object detection demo. This demo highlights how to combine Deep Learning with a non-trivial user-defined pre- and post-processing in G-API: #19923;

  • Other changes:

    • Added a new graph compile option to specify the internal queue capacity in the Streaming mode -- this option may be used to fine-tune the execution behavior from a throughput-oriented (default) to a latency oriented mode: #20119;
    • Added ITT instrumentation in the Streaming executor -- now different parts of the pipeline execution can be highlited in the Intel® VTune™ Profiler.
    • Fixed issue with passing empty data inputs to the graph: #20184.

  • Documentation:

    • Extended the Doxygen reference with new structures/method description for Generic inference (#20169), OpenVINO™ inference parameters (#20112), Stereo, cv::MediaFrame (#20238), and other API parts.

• Documentation:

  • Updated documentation to address plugin support modes / build options: #20194

• And many other great contributions from OpenCV community:

  • samples: added PaddlePaddle classification model conversion case: #19976

  • core: fix dynamic loading of clBLAS and clFFT: #20203

  • imgproc: improved implementation of rotatedRectangleIntersection: #19842

  • (opencv_contrib) 1D Barcode support: #2757

git shortlog --no-merges -ns 4.5.2..4.5.3
    46  Alexander Alekhin
    10  Giles Payne
     9  Anatoliy Talamanov
     7  Smirnov Egor
     6  Maxim Pashchenkov
     5  Dmitry Budnikov
     5  Maksim Shabunin
     5  berak
     4  Danny
     4  Ian Maquignaz
     4  Tiago De Gaspari
     2  APrigarina
     2  Alexander Smorkalov
     2  Alexey Smirnov
     2  Anna Prigarina
     2  Dale Phurrough
     2  Developer-Ecosystem-Engineering
     2  Francesco Petrogalli
     2  Joe Howse
     2  Kai Stüdemann
     2  SamFC10
     2  Sergey Ivanov
     2  Suleyman TURKMEN
     2  Vincent Rabaud
     2  danielenricocahall
     2  rogday
     1  103yiran
     1  Aaron Greig
     1  Aleksandr Voron
     1  Alex Kalmuk
     1  Anastasiya Pronina
     1  Andreas Franek
     1  Andrei Costinescu
     1  Antonio Rojas
     1  CSBVision
     1  Christoph Rackwitz
     1  David Geldreich
     1  Dmitry Matveev
     1  Florian Berchtold
     1  Guillaume Jacob
     1  HAN Liutong
     1  Harald Scheirich
     1  HattrickGenerator
     1  Ilya Lavrenov
     1  Jake Staahl
     1  Jason
     1  JoeHowse
     1  Jonathan Deakin
     1  Lukas-Alexander Weber
     1  Maksym Ivashechkin
     1  Mary Strodl
     1  Mikhail Nikolskii
     1  Nathan Hartman
     1  Nikolay Polyarniy
     1  Paul Jurczak
     1  Pinaev Danil
     1  Quella Zhang (Beyondsoft Corporation)
     1  Rafael H Tibães
     1  Stefano Allegretti
     1  Vladimir
     1  Xinguang Bian
     1  YashasSamaga
     1  Zhuo Zhang
     1  catree
     1  changh95
     1  damonyu1989
     1  deniz.aksayli
     1  hyrodium
     1  jiangjiajun
     1  jogo-
     1  kikaxa
     1  micha137
     1  mitruska
     1  thezane
     1  xzvno
     1  yo1990

git shortlog --no-merges -ns 4.5.2..4.5.3
     4  Alexander Alekhin
     3  Suleyman TURKMEN
     2  DumDereDum
     2  Ivar Clemens
     2  Pavel Rojtberg
     2  Smirnov Egor
     2  Vincent Rabaud
     2  berak
     1  Aleksandr Patsekin
     1  Archit Rungta
     1  Artem Saratovtsev
     1  David Forrest
     1  Frank Dana
     1  Junhao Liang
     1  Killer_Quinn
     1  TT
     1  channings
     1  pathbreak
     1  scloke
     1  shimat

July, 2021

OpenCV 3.4.15 has been released. Bug fixes, optimizations and other enhancements are propagated into OpenCV 4.5.3.

Long-lived OpenCV 3.x release series is here since 2015. We are going to reduce support of 3.x branch in the future to move forward to OpenCV 5.0.

April, 2021

Spring update for OpenCV 4.x has been released.

Highlights of this release:

• core: added support for parallel backends. Special OpenCV builds allow to select parallel backend and/or load it dynamically through plugins

• imgproc: added IntelligentScissors implementation (JS demo). The feature is integrated into CVAT annotation tool and you can try it online on https://cvat.org

• videoio: improved hardware-accelerated video decoding/encoding tasks. Wiki page

• DNN module:

  • Improved debugging of TensorFlow parsing errors: #19220

  • Improved layers / activations / supported more models:

    • optimized: NMS processing, DetectionOutput
    • fixed: Div with constant, MatMul, Reshape (TensorFlow behaviour)
    • added support: Mish ONNX subgraph, NormalizeL2 (ONNX), LeakyReLU (TensorFlow), TanH (Darknet), SAM (Darknet), Exp

  • Intel® Inference Engine backend ( OpenVINO™ ):

    • added support for OpenVINO 2021.3 release

• G-API module:

  • Python support:

    • Introduced a new Python backend - now G-API can run custom kernels written in Python as part of the pipeline: #19351;
    • Extended Inference support in the G-API Python bindings: #19318;
    • Added more graph data types support in the G-API Python bindings: #19319;

  • Inference support:

    • Introduced dynamic input / CNN reshape functionality in the OpenVINO inference backend #18240;
    • Introduced asynchronous execution support in the OpenVINO inference backend, now inference can run in multiple requests in parallel to increase stream density/throughput: #19487, #19425;
    • Extended supported data types with INT64/INT32 in ONNX inference backend and with INT32 in the OpenVINO inference backend #19792;
    • Introduced cv::GFrame / cv::MediaFrame and constant support in the ONNX backend: #19070;

  • Media support:

    • Introduced cv::GFrame / cv::MediaFrame support in the drawing/rendering interface: #19516;
    • Introduced multi-stream input support in Streaming mode and frame synchronization policies to support cases like Stereo: #19731;
    • Added Y and UV operations to access NV12 data of cv::GFrame at the graph level; conversions are done on-the-fly if the media format is different: #19325;

  • Operations and kernels:

    • Added performance tests for new operations (MorphologyEx, BoundingRect, FitLine, FindContours, KMeans, Kalman, BackgroundSubtractor);
    • Fixed RMat input support in the PlaidML backend: #19782;
    • Added ARM NEON optimizations for Fluid AbsDiffC, AddWeighted, and bitwise operations: #18466, #19233;

  • Other various static analysis and warning fixes;

• Documentation:

  • [GSoC] Added TF and PyTorch classification conversion cases: #17604

  • [GSoC] Added TF and PyTorch segmentation conversion cases: #17801

  • [GSoC] Added TF and PyTorch detection model conversion cases: #18237

  • Updated documentation to address Wide Universal Intrinsics (WUI) SIMD API: #18952

• And many other great contributions from OpenCV community:

  • core: add cuda::Stream constructor with cuda stream flags: #19286

  • highgui: expose VSYNC window property for OpenGL on Win32: #19408

  • highgui: pollKey() implementation for w32 backend: #19411

  • imgcodecs: Added Exif parsing for PNG: #19439

  • imgcodecs: OpenEXR compression options: #19540

  • imgproc: connectedComponents optimizations: (Spaghetti Labeling): #19631

  • videoio: Android NDK camera support #19597

  • (opencv_contrib) WeChat QRCode module open source: #2821

  • (opencv_contrib) Implemented cv::cuda::inRange(): #2803

  • (opencv_contrib) Added algorithms from Edge Drawing Library: #2313

  • (opencv_contrib) Added Python bindings for Viz module: #2882

git shortlog --no-merges -ns 4.5.1..4.5.2
    97  Alexander Alekhin
    14  Anatoliy Talamanov
    13  Maksim Shabunin
     9  Dale Phurrough
     8  Liubov Batanina
     7  Alexander Smorkalov
     7  Anastasia M
     7  Maxim Pashchenkov
     6  Orest Chura
     5  Anastasia Murzova
     4  LaurentBerger
     4  Rachel A
     4  Tomoaki Teshima
     4  Zhuo Zhang
     3  Christoph Rackwitz
     3  Giles Payne
     3  OrestChura
     3  Qoo
     3  Ruslan Garnov
     3  SamFC10
     3  Vitaly Tuzov
     2  APrigarina
     2  Aaron Greig
     2  Amir Tulegenov
     2  Anastasiya Pronina
     2  Anna Khakimova
     2  Dan Ben Yosef
     2  Dan Ben-Yosef
     2  Dmitry Budnikov
     2  Francesco Petrogalli
     2  Ilya Lavrenov
     2  Liangqian
     2  Mikhail Nikolskii
     2  Sayed Adel
     2  Suleyman TURKMEN
     2  Vadim Levin
     2  WeiChungChang
     2  YashasSamaga
     1  Alexander Reynolds
     1  Alexey Smirnov
     1  Andrey Golubev
     1  Anton Potapov
     1  Aryansh Omray
     1  Cuntian Liu
     1  Daniel Playfair Cal
     1  Federico Bolelli
     1  Federico Martinez
     1  Grégoire Piffault
     1  Ian Maquignaz
     1  Igor Murzov
     1  Ilya Churaev
     1  Ixarias
     1  Jebastin Nadar
     1  Jonathan Deakin
     1  Justin Chu
     1  Kun Liang
     1  Larry Wei
     1  Liangda-w
     1  Lukas-Alexander Weber
     1  Mark Harfouche
     1  Matt Alvarado
     1  MaximMilashchenko
     1  Mieszko Boczkowski
     1  Mradul Agrawal
     1  Namgoo Lee
     1  Nicola Landolfi
     1  Olivier Le Doeuff
     1  Pavel Rojtberg
     1  Polina Smolnikova
     1  Ruan
     1  Sergei Slashchinin
     1  Sergey Krivohatskiy
     1  Sergey Slashchinin
     1  Smirnov Alexey
     1  Stefan Dragnev
     1  Tsukasa Sugiura
     1  Vincent Rabaud
     1  Xinguang Bian
     1  Your Name
     1  ZhM
     1  Ziachnix
     1  aDanPin
     1  amir.tulegenov
     1  cyy
     1  eplankin
     1  krush11
     1  kyshel
     1  lionkun
     1  mznw
     1  notmatthancock
     1  shioko
     1  the-sparrow

git shortlog --no-merges -ns 4.5.1..4.5.2
     8  Tomoaki Teshima
     7  dddzg
     5  Pavel Rojtberg
     4  Alexander Alekhin
     2  DumDereDum
     2  LaurentBerger
     2  Vadim Pisarevsky
     1  Aaron Miller
     1  Atlas42
     1  Dimitrios Psychogyios
     1  Jan-Kristian Herring
     1  Kévin Andrieux
     1  MrKepzie
     1  Namgoo Lee
     1  Roman Golovanov
     1  Rostislav Vasilikhin
     1  Stefan Brechtken
     1  Suleyman TURKMEN
     1  Sun Aries
     1  Tobias Senst
     1  Ubuntu
     1  Vishal Chiluka
     1  Yahui Wang
     1  aaarthurliu
     1  amir.tulegenov
     1  arsaratovtsev
     1  batters21
     1  berak
     1  chester
     1  dzyGIT

April, 2021

OpenCV 3.4.14 has been released. Bug fixes, optimizations and other enhancements are propagated into OpenCV 4.5.2.

December, 2020

New Year's update for OpenCV 4.x has been released.

Highlights of this release:

• OpenCV repository reached over 50k stars on GitHub: Thank you to all for your contribution in this great project!

• Continued merging of GSoC 2020 results:

  • Develop OpenCV.js DNN modules for promising web use cases together with their tutorials (#18064)

  • OpenCV.js: WASM SIMD optimization 2.0 (#18068)

  • High Level API and Samples for Scene Text Detection and Recognition (#17570). The samples use the algorithms and the separately downloaded pre-trained models introduced in the following papers:

    • "Real-time Scene Text Detection with Differentiable Binarization". Liao, Minghui and Wan, Zhaoyi and Yao, Cong and Chen, Kai and Bai, Xiang. Proc. AAAI, 2020.
    • "An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition". Shi, Baoguang and Bai, Xiang and Yao, Cong. IEEE transactions on pattern analysis and machine intelligence, 2016.

  • SIFT: SIMD optimization of GaussianBlur 16U (#18983)

• DNN module:

  • Improved layers / activations / supported more models:

    • optimized: 1D convolution, 1D pool
    • fixed: Resize, ReduceMean, Gather with multiple outputs, importing of Faster RCNN ONNX model
    • added support: INT32 ONNX tensors

  • Intel® Inference Engine backend ( OpenVINO™ ):

    • added support for OpenVINO 2021.2 release
    • added preview support for HDDL

  • Fixes and optimizations in DNN CUDA backend (thanks to @YashasSamaga): PRs

• G-API module:

  • G-API Framework:

    • Introduced serialization for cv::RMat, including serialization for user-defined memory adapters (#18584);
    • Introduced desync, a new Operation for in-graph asynchronous execution - to allow different parts of the graph run with a different latency (#18673);
    • Introduced a notion of "in-graph metadata" (#18793), now various media-related information can be accessed in graph directly (currently only limited to timestamps and frame IDs);
    • Introduced a new generic task-based executor, based on Threading Building Blocks (TBB) (#17851);
    • Extended infer<>() API to accept a new cv::GFrame data structure to allow handling of various media formats without changes in the graph structure (#19002);
    • Made copy() an intrinsic where real copy may not happen (optimized out) based on graph structure, extended it to support cv::GFrame (#19009), (#19112);
    • Various fixes, including addressig static analysis, documentation, and test issues;

  • G-API Operations:

    • Introduced new operations morphologyEx (#18652), boundingRect (#18510), fitLine (#18790), kmeans (#18857), Background Subtractor (#18674), Kalman filter (#18869);

  • Intel® Inference Engine backend ( OpenVINO™ ):

    • Extended cv::gapi::ie::Params<> to import CNN networks (e.g. pre-compiled ones) instead of passing .XML and .BIN files (#18542); also enabled configuring Inference Engine plugins via this structure (#18701);
    • Added a new overload to infer<>() to run inference over a single region of interest (#18673);
    • Added support for cv::MediaFrame input data type (projected from cv::GFrame) and handling for NV12 input image format (#19002);

  • Microsoft® ONNX Runtime backend:

    • Introduced a new inference backend, powered by Microsoft ONNX Runtime (#18716), follow this instruction to enable ONNX Runtime support in G-API;

  • Python bindings:

    • Exposed G-API's Inference (#18491) and Streaming (#18493) APIs in the OpenCV Python bindings;
    • Added initial Python support for cv::GArray data structure (#18762);

• Significant progress on RISC-V port.

  • much more complete RISC-V backend of universal intrinsics has been contributed by Yin Zhang from ISCAS. It is based on the latest RVV (RISC-V vector extension) 0.9.

• Documentation:

  • Updated structure of tutorials

  • Revised installation tutorials content

• And many other great contributions from OpenCV community:

  • objdetect: Detection and decoding of curved QR-codes: #18003

  • calib3d: Added SQPnP algorithm to SolvePnP: #18371

  • stitching: add warpPointBackward to warpers: #18607

  • stitching: support similarity masks: #18624

  • stitching: add WAVE_CORRECT_AUTO: #18646

  • (opencv_contrib) Color Calibration Algorithm Implementation Revised: #2671

  • (opencv_contrib) Tbmr features (purely topological adaptation on MSER): #2713

  • (opencv_contrib) Added Python wrapping and documentation for alphamat module: #2729

  • video: added definition of Tracking API with ported GOTURN and MIL trackers from opencv_contrib: 18838

  • (opencv_contrib) Add libSGM into cudastereo: #2772

  • (opencv_contrib) Add BEBLID local feature descriptor: #2774

git shortlog --no-merges -ns 4.5.0..4.5.1
    87  Alexander Alekhin
    10  Anatoliy Talamanov
     8  Ruslan Garnov
     6  Dmitry Matveev
     6  Maksim Shabunin
     6  Orest Chura
     5  Jonathan Cole
     5  Sergei Slashchinin
     4  Anna Khakimova
     4  Anton Potapov
     4  Giles Payne
     4  Igor Murzov
     4  Maxim Pashchenkov
     4  Vincent Rabaud
     3  Alexander Smorkalov
     3  Anastasia Murzova
     3  Dale Phurrough
     3  Ian Maquignaz
     3  Liubov Batanina
     2  Aitik Gupta
     2  Anastasiya Pronina
     2  Chris Ballinger
     2  OrestChura
     2  Quentin Chateau
     2  Roman Kazantsev
     2  Sergey Slashchinin
     2  Steffen Urban
     2  Welton Rodrigo Torres Nascimento
     2  catree
     2  mtfrctl
     1  APrigarina
     1  Alexey Smirnov
     1  Andreas Franek
     1  Anton Veselskyi
     1  AsyaPronina
     1  Christos Malliaridis
     1  Clement Courbet
     1  Daniel Cauchi
     1  Daniel Motilla
     1  Dmitry Budnikov
     1  Felix Gorschlüter
     1  Francesco Petrogalli
     1  Gabriel Nascarella Hishida
     1  Hollow Man
     1  Jack·Boos·Yu
     1  Jaime Rivera
     1  Jiri Kucera
     1  Joe
     1  Jojo R
     1  Jose Quaresma
     1  Julien
     1  Justin Frank
     1  Kong Liangqian
     1  Krushnal Patel
     1  Kun Liang
     1  Mark Shachkov
     1  Martin Štefaňák
     1  Michael Gruner
     1  Mikkel Green
     1  Nathan Godwin
     1  Nikolai
     1  Omar Alzaibaq
     1  Or Avital
     1  Pavel Grunt
     1  Pavel Rojtberg
     1  Randall Britten
     1  Rob Timpe
     1  Suleyman TURKMEN
     1  Vadim Levin
     1  Vadim Pisarevsky
     1  Wenqing Zhang
     1  YashasSamaga
     1  Yiming Li
     1  Yosshi999
     1  ZhangYin
     1  Zhangyin
     1  Zhiming-Zeng
     1  Zhiyuan Chen
     1  ann
     1  arodrigu
     1  berak
     1  chargerKong
     1  joshdoe
     1  junxnone
     1  lizz
     1  masa-iwm
     1  maxint
     1  shioko

git shortlog --no-merges -ns 4.5.0..4.5.1
    12  Alexander Alekhin
     3  DumDereDum
     2  Akash Sharma
     1  Enrico Ronconi
     1  EricFlorin
     1  Iago Suárez
     1  Igor Murzov
     1  Kong Liangqian
     1  Kumataro
     1  Matthias Berberich
     1  Paul Jurczak
     1  Rob Timpe
     1  Shingo Otsuka
     1  Steffen Urban
     1  TT
     1  Vincent Rabaud
     1  Yuriy Obukh
     1  Zhiju Cen
     1  crownedone
     1  cudawarped
     1  riskiest
     1  sunitanyk
     1  unknown

December, 2020

OpenCV 3.4.13 has been released. Bug fixes, optimizations and other enhancements are propagated into OpenCV 4.5.1.

October, 2020

The fall update of OpenCV has been released!

Highlights of this release:

• OpenCV licence has been changed to Apache 2: OE-32 - Change OpenCV License to Apache 2. Starting from OpenCV 4.5.0, all the future OpenCV 4.x and OpenCV 5.x releases will be distributed under Apache 2 license. OpenCV 3.x will keep using BSD.
• GSoC 2020 is over. It was one of the most productive GSoC "seasons"! All the projects are successful, and most of the results are already merged into OpenCV tree and available in 4.5.0 (in the main repository or in opencv_contrib). Here is the list of merged functionality:
  • Better SIFT in the main repository
  • Improvement of Random Sample Consensus in OpenCV #17683
  • Real-time Single Object Tracking using Deep Learning: #17647
  • Revise/improve Text and Digit Recognition Samples: #17675
  • Optimize OpenCV for RISC-V: #17922
  • (opencv_contrib): OpenCV bindings for Julia Programming Language (tutorial)
  • (opencv_contrib): Implement Macbeth Chart detector and AprilTag3: #2532
  • (opencv_contrib): Depth Fusion for large scale environments #2566

And here is the picture:

• OpenJPEG replaces Jasper in distributed Windows packages: #18194

• Added support for OpenCL multiple contexts

• DNN module:

  • Improved layers / activations / supported more models:

    • ONNX: ReduceSum, Gather, improved Reshape

  • Intel® Inference Engine backend ( OpenVINO™ ):

    • added support for OpenVINO 2021.1 release

  • Fixes and optimizations in DNN CUDA backend (thanks to @YashasSamaga): PRs

  • Our partner, OpenAI Lab, have further improved performance of OpenCV DNN on ARM using their new "Tengine lite", lighter-weight reimplementation of Tengine in C. Here is the comparative performance table (showing inference time in milliseconds for batch_size=1 on different topologies and different ARM architectures; tested on EAIDK-610):

• G-API module:

  • Added Python bindings for the general G-API (#17493), inference and streaming support are currently in progress.

  • Introduced serialization API, currently limited. A graph can be serialized to a byte stream (std::vector) and then reconstructed back to a cv::GComputation object.

  • OpenVINO NN backend has been moved to the latest OpenVINO "Core" APIs.

  • Now it is easier to declare a graph with a dynamic number of inputs or outputs (GIn() / GOut() support operator+=).

  • Added "mask", extended "convertTo" with 16S, also added performance tests on Core kernels for the Fluid backend.

  • Added standard NN post-processing operations like parseYolo and parseSSD to turn NN results into a structured graph-based data format (e.g. GArray<Rect>).

  • Added value initialization for GArray<T> so now one can write:

    cv::GArray<int> arr = std::vector<int> { 1, 2, 3 };

    to associate a cv::GArray<> with a value at graph construction stage.

  • cv::GMat bitwise operators are extended with a cv::GScalar operand.

  • Introduced a new graph data type cv::GFrame and its data storage type cv::MediaFrame to start handling media-oriented formats (like NV12 or YUV images with external memory) in the graph.

• And many other great contributions from OpenCV community:

  • flann module fixes / improvements by @pemmanuelviel: PRs

  • Add Robot-World/Hand-Eye calibration function: #18203

  • Improved build scripts to support for Apple Silicon by Giles Payne: #18094

git shortlog --no-merges -ns 4.4.0..4.5.0
    47  Alexander Alekhin
    10  Liubov Batanina
     9  Giles Payne
     9  Maksim Shabunin
     9  Tomoaki Teshima
     8  Anatoliy Talamanov
     8  Ilya Churaev
     7  Orest Chura
     7  Pierre-Emmanuel Viel
     6  Vadim Levin
     5  Namgoo Lee
     5  YashasSamaga
     4  Alexey Smirnov
     4  Dmitry Matveev
     4  Maksym Ivashechkin
     4  Suleyman TURKMEN
     4  Vadim Pisarevsky
     4  Yosshi999
     4  catree
     4  kadi soheib
     4  pemmanuelviel
     3  Aitik Gupta
     3  Ruslan Garnov
     3  danielenricocahall
     2  Alessandro de Oliveira Faria (A.K.A.CABELO)
     2  Alexander Smorkalov
     2  Anastasiya(Asya) Pronina
     2  Anna Petrovicheva
     2  Danny
     2  Dustin Rodrigues
     2  Maksim Doronin
     2  Maxim Pashchenkov
     2  Sergei Slashchinin
     2  Yashas Samaga B L
     1  Alexey Lapshin
     1  AsyaPronina
     1  Christoph Gringmuth
     1  Dervon
     1  Dmitry Kurtaev
     1  Elizarov Ilya
     1  Florian Jung
     1  Gabriel
     1  Gary Bradski
     1  Gil Shotan
     1  Ian Maquignaz
     1  Julien
     1  Mario Emmenlauer
     1  Nathan Godwin
     1  NesQl
     1  Odianosen Ejale
     1  Pavel Rojtberg
     1  Peter Rekdal Sunde
     1  Rafael Sadowski
     1  Shubham Dhumal
     1  Shubham Singh
     1  Sinitsina
     1  Takehiro Kajihara
     1  Yikun Jiang
     1  Zhangyin
     1  Zihao Mu
     1  dmici
     1  extrowerk
     1  jinyup100
     1  lpea
     1  nhlsm
     1  or-toledano
     1  zhaoyue-zephyrus
     1  zhuqiang00099

git shortlog --no-merges -ns 4.4.0..4.5.0
     4  Namgoo Lee
     4  Pavel Rojtberg
     4  Pierre-Emmanuel Viel
     3  Archit Rungta
     3  DumDereDum
     3  Tomoaki Teshima
     2  Dustin Rodrigues
     2  Vadim Pisarevsky
     2  pemmanuelviel
     1  Ajit Pant
     1  Alexander Alekhin
     1  Elizarov Ilya
     1  Gary Bradski
     1  Giles Payne
     1  Kumataro
     1  Mary Chris Go
     1  Nikita Shulga
     1  arsaratovtsev
     1  berak
     1  cyy
     1  dtmoodie

October, 2020

OpenCV 3.4.12 has been released. Bug fixes, optimizations and other enhancements are propagated into OpenCV 4.5.0.

July, 2020

Summer update for OpenCV 4.x has been released ☀️

Highlights of this release:

• SIFT (Scale-Invariant Feature Transform) algorithm has been moved to the main repository (patent on SIFT is expired)

• DNN module:

  • Improved layers / activations / supported more models:

    • State-of-art Yolo v4 Detector: #17148. Disabled per-layer NMS for [yolo] layers (Yolo v3 and Yolo v4) as incorrect - use cv::dnn::NMSBoxes over all the detections.

    • ONNX: Add support for Resnet_backbone (Torchvision) #16887

    • EfficientDet models support: #17384

  • New samples / demos:

    • add text recognition sample: C++ / Python

    • FlowNet2 optical flow: #16575

  • Intel® Inference Engine backend ( OpenVINO™ ):

    • added support for OpenVINO 2020.3 LTS / 2020.4 releases

    • support of NN Builder API is planned for removal in the next release

  • Many fixes and optimizations in CUDA backend (thanks to @YashasSamaga): PRs

• G-API module:

  • Introduced a new API for stateful kernels in OpenCV backend: GAPI_OCV_KERNEL_ST. Stateful kernels preserve their state among the individual graph executions (in the standard more) or among the video frames of the stream (in the streaming mode).
  • Introduced more video-oriented operations in G-API: goodFeaturesToTrack, buildOpticalFlowPyramid, calcOpicalFlowPyrLK.
  • Added few more image processing kernels: Laplacian and bilateral filters.
  • Fixed a potential crash in G-API's OpenCL backend.

• And many other great contributions from OpenCV community, including, but not limited to:

  • Obj-C / Swift bindings: #17165

  • (opencv_contrib) Julia bindings as part of ongoing GSoC project: #2547

  • (opencv_contrib) BIMEF: A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement: #2448

  • Enable Otsu thresholding for CV_16UC1 images: #16640

  • Add Stroke Width Transform algorithm for Text Detection: #2464

• Planned migration on Apache 2 license for next releases OE-32 #17491

git shortlog --no-merges -ns 4.3.0..4.4.0
    78  Alexander Alekhin
    19  Dmitry Kurtaev
    19  Liubov Batanina
    19  Maksim Shabunin
    19  Tomoaki Teshima
    15  YashasSamaga
    11  Pierre-Emmanuel Viel
     9  Anton Potapov
     8  Alexander Smorkalov
     8  Dmitry Matveev
     8  Giles Payne
     8  Ilya Lavrenov
     6  Vadim Pisarevsky
     5  Daniel Mallia
     5  Ruslan Garnov
     4  Woody Chow
     4  Yosshi999
     4  cyy
     3  Boubacar
     3  Dmitry Budnikov
     3  Ganesh Kathiresan
     3  Maxim Pashchenkov
     3  Paul Jurczak
     3  Vadim Levin
     3  Yashas Samaga B L
     3  pemmanuelviel
     2  AshihsKrShrivastava
     2  Chris Ballinger
     2  Ilya Churaev
     2  Jan Lebert
     2  Michal W. Tarnowski
     2  Namgoo Lee
     2  Nesterov Alexander
     2  Orest Chura
     2  OrestChura
     2  Philippe FOUBERT
     2  Pinaev Danil
     2  Suleyman TURKMEN
     2  jsxyhelu
     1  Adam Fowles
     1  Alanli
     1  Aleksandr Pertovskiy
     1  Alex Cohn
     1  Alex Studer
     1  Anastasiya
     1  Anatoliy Talamanov
     1  AsyaPronina
     1  Bao "Mantle" Rong
     1  Ben
     1  Ben Li
     1  Christoph
     1  Conrad Poelman
     1  Egor Pugin
     1  Fernando Martin
     1  GFleishman
     1  Gourav Roy
     1  Hannes Achleitner
     1  Heritier Kinke
     1  HowardsPlayPen
     1  Jan Tojnar
     1  Jason Martin
     1  Jessica Wong
     1  Josh Bradley
     1  Ken Shirriff
     1  Martin Nowak
     1  Mehdi Zakaria Benadel
     1  Meng Wang
     1  NesQl
     1  Nicolas Roduit
     1  Nikita Shulga
     1  Ningxin Hu
     1  Pierre Chatelier
     1  Polina Smolnikova
     1  QIU Xiaochen
     1  R-penguins
     1  Rasmus
     1  Rasmus Diederichsen
     1  Rui Hou
     1  Satya Mallick
     1  Sauhaarda Chowdhuri
     1  Smirnov Alexey
     1  Vahid Nikoofard
     1  Vitaly Tuzov
     1  Xiping Yan
     1  YourButterfly
     1  Yuriy Obukh
     1  ab-dragon
     1  albert-github
     1  [email protected]
     1  berak
     1  dev-tronifier
     1  dmallia17
     1  hn-88
     1  jackson0223
     1  jasonKercher
     1  jshiwam
     1  jumostedu
     1  mehlukas
     1  okamotoR
     1  shijiayuan
     1  shimat
     1  spectralio
     1  tpoisonooo
     1  tweenietomatoes
     1  woody.chow

git shortlog --no-merges -ns 4.3.0..4.4.0
     9  Tomoaki Teshima
     6  Alexander Alekhin
     6  Pavel Rojtberg
     3  Paul Jurczak
     2  Amy Tabb
     2  Archit Rungta
     2  Daniel Mallia
     2  Namgoo Lee
     2  Vishal Chiluka
     2  catree
     2  shimat
     1  Ajit Pant
     1  Akash Sharma
     1  Devansh Batra
     1  Jan Sellner
     1  John Forrest
     1  K Yasaswi Sri Chandra Gandhi
     1  MaKaNu
     1  Maksim Shabunin
     1  Oded Green
     1  QIU Xiaochen
     1  Vadim Pisarevsky
     1  Xavier Weber
     1  archit120
     1  berak
     1  nosajthenitram
     1  unknown

July, 2020

OpenCV 3.4.11 has been released. Bug fixes, optimizations and other enhancements are propagated into OpenCV 4.4.0.

April, 2020

Spring update for OpenCV 4.x has been released.

Highlights of this release:

• DNN module:

  • Improved layers / activations / supported more models:

    • ONNX: LSTM, Broadcasting, Algebra over constants, Slice with multiple inputs

    • DarkNet: grouped convolutions, sigmoid, swish, scale_channels

    • MobileNet-SSD v3: #16760

  • New samples / demos:

    • Clothes parts segmentation and CP-VTON

    • DaSiamRPN tracker

  • Intel® Inference Engine backend ( OpenVINO™ ):

    • added support for custom layers through nGraph OpenVINO API: #16628

    • nGraph OpenVINO API is used by default: #16746

  • Many fixes and optimizations in CUDA backend (thanks to @YashasSamaga): PRs

  • OPEN AI LAB team submitted the patch that accelerates OpenCV DNN on ARM using their Tengine library:

    

    Here are the installation instructions

• G-API module:

  • Introduced a new graph-level data type GOpaque<T>. This type can be used to pass arbitrary user data types between G-API nodes in the graph (supported for CPU/OpenCV backend only).
  • Introduced a way to declare G-API CPU (OpenCV) kernels in-place (example);
  • Added a new sample "Privacy masking camera", combining Deep Learning with traditional Image Processing (link)
  • Added more operations in the default library: WarpAffine, WarpPerspective, NV12toGray.

• Performance improvements:

  • IPP-ICV library with CPU optimizations has been updated to version 2020.0.0 Gold

  • SIMD intrinsics: integral, resize, (opencv_contrib) RLOF implementation #2476

• And many other great contributions from OpenCV community:

  • (opencv_contrib) Computer Vision based Alpha Matting (GSoC 2019) #2306

  • calib3d: findChessboardCornersSB improvements: #16625

  • calib3d: updated documentation for RT matrices: #16860

  • core: improved getNumberOfCPUs(): #16268

  • imgproc: new algorithm HOUGH_GRADIENT_ALT is added to HoughCircles() function #16561. It has much better recall and precision

    

  • imgcodecs: added initial support for OpenJPEG library (version 2+): #16494

  • highgui(Qt): added Copy to clipboard: #16677

  • dnn: TensorFlow, Darknet and ONNX importers improvements by @ashishkrshrivastava: PRs

  • (opencv_contrib) added rapid module for silhouette based 3D object tracking: #2356

  • (opencv_contrib) SIFT detector is enabled by default due patents expiration (without requirement of NONFREE build option)

  • help materials: OpenCV Cheat Sheet in Python: #4875

• Changes that can potentially break compatibility:

  • image filtering functions throws exception on empty input (voting results)

git shortlog --no-merges -ns 4.2.0..4.3.0
   107  Alexander Alekhin
    34  Liubov Batanina
    22  Dmitry Kurtaev
    13  Maksim Shabunin
    11  YashasSamaga
     8  Vadim Pisarevsky
     7  Alexander Smorkalov
     6  Anton Potapov
     6  [email protected]
     5  Anatoliy Talamanov
     5  Hannes Achleitner
     5  Maxim Pashchenkov
     4  Gourav Roy
     4  Vadim Levin
     4  Yashas Samaga B L
     3  Alexander Duda
     3  Chip Kerchner
     3  Collin Brake
     3  Ganesh Kathiresan
     3  Julien
     3  Peter Würtz
     3  Sayed Adel
     2  Andrey Golubev
     2  Brian Wignall
     2  Dizhenin Vlad
     2  Dmitry Matveev
     2  Ilya Lavrenov
     2  Moritz Fischer-Gundlach
     2  NesQl
     2  Pavel Rojtberg
     2  Polina Smolnikova
     2  Rajkiran Natarajan
     2  StefanBruens
     2  berak
     2  catree
     2  cyy
     2  hannesa2
     1  Aditya Kumar
     1  Alexey Smirnov
     1  Andrei-Florin BENCSIK
     1  Andrew Bruce
     1  Arnaud Brejeon
     1  Augusto Fraga Giachero
     1  Christoph Schmidt-Hieber
     1  Eduard Trulls
     1  Elizarov Ilya
     1  Gagandeep Singh
     1  Ianaré Sévi
     1  Igor Murzov
     1  Ivan Galanin
     1  Jan Solanti
     1  Janusz Lisiecki
     1  Jed
     1  Julien Maille
     1  Karl Liu
     1  Khem Raj
     1  Manoj Gupta
     1  Miguel Pari Soto
     1  MoonChasing
     1  Muhammad Taha
     1  Niklas Hambüchen
     1  Nuzhny007
     1  Omar Hassan
     1  Paul E. Murphy
     1  Pierre Letessier
     1  Pratik Raj
     1  RAJKIRAN NATARAJAN
     1  Samuel Thibault
     1  Smirnov Alexey
     1  Suleyman TURKMEN
     1  Talamanov, Anatoliy
     1  Tomoaki Teshima
     1  Yuhel Tanaka
     1  Yuriy Obukh
     1  Zach Lowry
     1  ankit6979
     1  atinfinity
     1  baka-gori
     1  cudawarped
     1  firebladed
     1  gapry
     1  h6197627
     1  ihsan314
     1  iteal
     1  jshiwam
     1  keeper121
     1  midjji
     1  olramde
     1  rayonnant14
     1  sajarindider

git shortlog --no-merges -ns 4.2.0..4.3.0
     7  Alexander Alekhin
     4  Pavel Rojtberg
     2  Alexander Smorkalov
     2  Ayush Garg
     2  catree
     1  David Geldreich
     1  Gagandeep Singh
     1  Igor Murzov
     1  Kunal Tyagi
     1  Lim
     1  Maksim Shabunin
     1  Miloš Komarčević
     1  RAJKIRAN NATARAJAN
     1  Rostislav Vasilikhin
     1  Tobias Senst
     1  Vishal Chiluka
     1  Xavier Weber
     1  akashsharma02
     1  atinfinity
     1  berak
     1  cudawarped
     1  jshiwam
     1  raanyild
     1  shimat
     1  sunitanyk

April, 2020

OpenCV 3.4.10 has been released. Bug fixes, optimizations and other enhancements are propagated into OpenCV 4.3.0.

December, 2019

New Year's update for OpenCV 4.x has been released.

Highlights of this release:

• DNN module:

  • Integrated GSoC project with CUDA backend: #14827

  • Intel® Inference Engine backend ( OpenVINO™ ):

    • support for nGraph OpenVINO API (preview / experimental): #15537

• G-API module:

  • Enabled in-graph inference: #15090. Now G-API can express more complex hybrid CV/DL algorithms;

    • Intel® Inference Engine backend is the only available now, support for DNN module will be added in the future releases.

  • Extended execution model with streaming support: #15216. Decoding, image processing, inference, and post-processing are now pipelined efficiently when processing a video stream with G-API.

  • Added tutorials covering these new features: Face analytics pipeline and a sample Face beautification algorithm.

• Performance improvements:

  • SIMD intrinsics: StereoBM/StereoSGBM algorithms, resize, integral, flip, accumulate with mask, HOG, demosaic, moments

  • Muti-threading: pyrDown

• And many other great patches from OpenCV community:

  • VideoCapture: video stream extraction (demuxing) through FFmpeg backend.

  • VideoCapture: waitAny() API for camera input multiplexing (Video4Linux through poll() calls).

  • (opencv_contrib) new algorithm Rapid Frequency Selective Reconstruction (FSR): #2296 + tutorial.

  • (opencv_contrib) RIC method for sparse match interpolation: #2367.

  • (opencv_contrib) LOGOS features matching strategy: #2383.

• Changes that can potentially break compatibility:

  • Disabled constructors for legacy C API structures.

  • Implementation of Thread Local Storage (TLS) has been improved to release data from terminated threads. API has been changed.

  • Don't define unsafe CV_XADD implementation by default.

  • Python conversion rules of passed arguments will be updated in next releases: #15915.

git shortlog --no-merges -ns 4.1.2..4.2.0
    77  Alexander Alekhin
    12  Dmitry Kurtaev
     7  Dmitry Matveev
     7  Maksim Shabunin
     5  Chip Kerchner
     5  Yashas Samaga B L
     5  atalaman
     4  Anna Khakimova
     4  Steve Nicholson
     4  Vitaly Tuzov
     4  YashasSamaga
     4  cudawarped
     3  Igor Murzov
     3  Liubov Batanina
     3  Lubov Batanina
     3  Oleg Alexandrov
     3  TH3CHARLie
     2  Brian Wignall
     2  ChipKerchner
     2  Everton Constantino
     2  Nikita Shulga
     2  Orest Chura
     2  OrestChura
     2  Paul Murphy
     2  Pinaev Danil
     2  RAJKIRAN NATARAJAN
     2  Ruslan Garnov
     2  Sajarin
     2  Sebastián Gurin
     2  Vadim Levin
     2  berak
     2  shimat
     1  Adam Gyarmati
     1  Adam Rankin
     1  Alexander Smorkalov
     1  André Lippok
     1  Anton Potapov
     1  CJ Smith
     1  Christoph Bachhuber
     1  Ciprian Alexandru Pitis
     1  Collin Brake
     1  Diego
     1  Dimitri Gerin
     1  Dizhenin Vlad
     1  Dmitry Budnikov
     1  Fei Wu
     1  Gael Colas
     1  Giles Payne
     1  JamesNewton
     1  Lorenzo Lucignano
     1  Manjunath Bhat
     1  Maxim Pashchenkov
     1  Natsu
     1  Paul E. Murphy
     1  Pavel Grunt
     1  Pádraig Brady
     1  Rajkiran Natarajan
     1  SSE4
     1  Sebastien Wybo
     1  Sebastián Gurín
     1  Talamanov, Anatoliy
     1  Tatsuro Shibamura
     1  Xuanda Yang
     1  Yashas
     1  antalzsiroscandid
     1  anton-potapov
     1  catree
     1  clunietp
     1  collin
     1  collinbrake
     1  czgdp1807
     1  float13
     1  jasjuang
     1  jeffeDurand
     1  mcellis33
     1  nick black
     1  sajarindider
     1  thebhatman
     1  ysy
     1  yuriyluxriot

git shortlog --no-merges -ns 4.1.2..4.2.0
    10  Alexander Alekhin
     7  Pavel Rojtberg
     4  cudawarped
     3  Suleyman TURKMEN
     2  Brian Wignall
     2  Gagandeep Singh
     2  Lizeth Huertas
     2  Pavel Grunt
     2  catree
     2  czgdp1807
     1  Adam Rankin
     1  Apoorv Goel
     1  Deni
     1  Gael Colas
     1  Josh Chien
     1  LE GARREC Vincent
     1  Nikita Shulga
     1  RAJKIRAN NATARAJAN
     1  Steve Nicholson
     1  Tobias Senst
     1  ab-dragon
     1  anna
     1  huangqinjin
     1  jeffeDurand
     1  kokerf
     1  si40wiga

December, 2019

OpenCV 3.4.9 has been released. Bug fixes, optimizations and other enhancements are propagated into OpenCV 4.2.0.

October, 2019

Fall update for OpenCV 4.x has been released.

Highlights of this release:

• DNN module:

  • Intel® Inference Engine backend (OpenVINO™):

    • 2019R3 has been supported
    • Support modern IE Core API
    • New approach for custom layers management. Now all the OpenCV layers fallbacks are implemented as IE custom layers which helps to improve efficiency due less graph partitioning.

  • High-level API which introduces dnn::Model class and set of task-specific classes such dnn::ClassificationModel, dnn::DetectionModel, dnn::SegmentationModel. It supports automatic pre- and post-processing for deep learning networks.

• Performance improvements and platforms support:

  • MSA SIMD implementation has been contributed for MIPS platforms: https://github.com/opencv/opencv/pull/15422
  • OpenCV.js optimization (threading and SIMD as part of GSoC project): https://github.com/opencv/opencv/pull/15371
  • More optimizations using SIMD intrinsics: dotProd, FAST corners, HOG, LK pyramid (VSX), norm, warpPerspective, etc
  • Fixed detection of Cascade Lake CPUs

• And many other great patches from OpenCV community:

  • GUI: support topmost window mode (Win32/COCOA): https://github.com/opencv/opencv/pull/14872
  • Java: fix Mat.toString() for higher dimensions: https://github.com/opencv/opencv/pull/15181
  • Implementation of colormap "Turbo" https://github.com/opencv/opencv/pull/15388
  • QR-Code detection accuracy improvement: https://github.com/opencv/opencv/pull/15356
  • GSoC: Add learning-based super-resolution module: https://github.com/opencv/opencv_contrib/pull/2229 and https://github.com/opencv/opencv_contrib/pull/2231
  • Detection accuracy improvement of the white marker aruco corners: https://github.com/opencv/opencv_contrib/pull/2236
  • Added pattern generator tool for aruco: https://github.com/opencv/opencv_contrib/pull/2250
  • and special thanks to @sturkmen72 for improving and cleaning up code of samples/tutorials

• Breaking changes:

  • fixed values thresholding accuracy in calcHist()

git shortlog --no-merges -ns 4.1.1..4.1.2
    55  Alexander Alekhin
    18  Dmitry Kurtaev
    16  Maksim Shabunin
     8  Vitaly Tuzov
     7  Paul E. Murphy
     6  Andrey Golubev
     6  Lubov Batanina
     5  Suleyman TURKMEN
     4  AsyaPronina
     4  luz.paz
     3  Anton Potapov
     3  Chip Kerchner
     3  ChipKerchner
     3  Sebastián Gurin
     3  smirnov-alexey
     2  Braedy Kuzma
     2  Dmitry Budnikov
     2  Hugo Lindström
     2  John Smith
     2  Marcin Tolysz
     2  Talamanov, Anatoliy
     2  TheGoddessInari
     2  Tomoaki Teshima
     2  Victor Romero
     2  Zyrin
     2  atinfinity
     2  dab0bby
     2  ilbalance
     1  APrigarina
     1  Alexey Smirnov
     1  Andrew Ryrie
     1  Brandon
     1  Daniel Kapusi
     1  David Carlier
     1  Diego
     1  Dmitry Matveev
     1  Douwe Gelling
     1  Elms
     1  Everton Constantino
     1  Evgeny Latkin
     1  Giles Payne
     1  Ilya Lavrenov
     1  Jaime
     1  Jake Howard
     1  Kazuma Furuhashi
     1  LaurentBerger
     1  Mark Harfouche
     1  Martti Laine
     1  Matt Bennett
     1  Matthias Gehre
     1  OrestChura
     1  Philippe FOUBERT
     1  Pinaev Danil
     1  Prakhar Varshney
     1  Rosen Penev
     1  Sayed Adel
     1  Sean McBride
     1  Sebastián Gurín
     1  Thang Tran
     1  Vishal Chiluka
     1  Wenzhao Xiang
     1  Wise86
     1  andrey-golubev
     1  ann
     1  berak
     1  collin
     1  craterkamath
     1  dcouwenh
     1  fishjam
     1  huihut
     1  mipsopen-fwu
     1  takacsd
     1  xitong
     1  yaohai [姚海]

git shortlog --no-merges -ns 4.1.1..4.1.2
     4  Alexander Alekhin
     2  Maksim Shabunin
     2  Marcin Tolysz
     2  Tomoaki Teshima
     1  Daniel Canelhas
     1  Fanny Monori
     1  Geert Willems
     1  Graham Reeves
     1  Josh Chien
     1  Moeed
     1  Nicolas Abril
     1  Nuzhny007
     1  Paul Debus
     1  Rajkiran Natarajan
     1  SSE4
     1  Suleyman TURKMEN
     1  Tobias Senst
     1  Vishal Bhaskar Chiluka
     1  Xavier Weber
     1  adilfaqah
     1  berak
     1  clunietp
     1  kqwyf
     1  lizeth huertas

October, 2019

OpenCV 3.4.8 has been released. Bug fixes, optimizations and other enhancements are propagated into OpenCV 4.1.2.

July, 2019

Summer update for OpenCV 4.x has been released.

Highlights of this release:

• DNN module:

  • 3D convolution networks initial support. There are Convolution, BatchNorm, Pooling, Eltwise layers implemented. Deconvolution3D layer is supported with DNN_BACKEND_INFERENCE_ENGINE only for now. Check Action recognition sample.

  • Intel Inference Engine backend:

    • 2018R5 release is now minimal supported version

    • Asynchornous inference support. Use cv::dnn::Net::forwardAsync which returns std::future<Mat> instance. Check updated object detection samples for details: C++, Python

      OpenCV face detection network efficiency on a single Intel Neural Compute Stick 2:

      sync	x3 asynchronous forwards
      26.43 FPS	53.2 FPS (x2.01)

      details: https://github.com/opencv/opencv/pull/14516

  • Deep learning networks visualization diagrams using dot files (cv::dnn::Net::dumpToFile).

  • A lot of improvements for ONNX and TenforFlow importers.

• Performance improvements:

  • AVX512 SIMD backend for wide universal intrinsics (w.u.i.)
  • More optimizations using wide universal intrinsics

• Android support:

  • Added CameraActivity utility class to automate Camera permission handling on Android
  • Changed default C++ runtime: c++_static -> c++_shared
  • Unified code for frame size selection between JavaCamera2View / JavaCameraView

• And many other great patches from OpenCV community:

  • Added IPPE method for planar pose estimation in solvePnP ( https://github.com/opencv/opencv/pull/14362 )
  • Added solvePnPRefineLM and solvePnPRefineVVS ( https://github.com/opencv/opencv/pull/14431 )
  • Logging revamp ( https://github.com/opencv/opencv/pull/13909 by @kinchungwong )
  • opencv_contrib: Tracking-by-Matching approach
  • opencv_contrib: added AR samples into ovis module

• Breaking changes:

  • solveP3P, solvePnP and solvePnPGeneric return result in double precision unless the parameters are not empty

git shortlog --no-merges -ns 4.1.0..4.1.1
   129	Alexander Alekhin
    32	Dmitry Kurtaev
    19	Maksim Shabunin
    14	Vitaly Tuzov
    11	Lubov Batanina
    11	Ruslan Garnov
     8	Andrey Golubev
     7	atalaman
     6	Ahmed Ashour
     5	Anton Potapov
     5	Rostislav Vasilikhin
     5	Thang Tran
     4	Liubov Batanina
     4	catree
     3	Alexey Smirnov
     3	LaurentBerger
     3	SchultzC
     3	Stefan Brüns
     3	Tomoaki Teshima
     3	arnaudbrejeon
     3	mehlukas
     2	Chip Kerchner
     2	David Carlier
     2	Diego
     2	Giles Payne
     2	Hugo Lindström
     2	Jan Starzynski
     2	Pavel Rojtberg
     2	Sayed Adel
     2	Suleyman TURKMEN
     2	gal0is
     2	utibenkei
     1	Adam Rankin
     1	Alexander Nesterov
     1	Alexey Nikolaev
     1	Allan Rodriguez
     1	Apoorv Goel
     1	AsyaPronina
     1	Cameron Martin
     1	Chip Kerchner [email protected]
     1	Dal Rupnik
     1	Daniel Ingram
     1	Fady Essam
     1	Feng Chen
     1	Guillaume Jacob
     1	James Bowley
     1	Joe Howse
     1	Kang
     1	Kang Yifei
     1	Kohei Yoshida
     1	Lukas Mehl
     1	Madhav
     1	Manolis Stamatogiannakis
     1	Manthan Keim
     1	Nick Yang
     1	Nuzhny007
     1	Rafa Gomez-Jordana
     1	Ryan Wong
     1	Sergiu Deitsch
     1	Sheel-Patel
     1	StefanBruens
     1	Ted Steiner
     1	Tomasz Gorochowik
     1	Vishal Chiluka
     1	Yashas Samaga B L
     1	anton-potapov
     1	armenpoghosov
     1	bommo1
     1	dianlujitao
     1	jxu
     1	kiwixz
     1	kupferb
     1	lain
     1	masa-iwm
     1	michal-kowalczyk
     1	ostarling
     1	rasmus25
     1	seungju
     1	take1014
     1	tribta
     1	vdgussem
     1	wenzhao

git shortlog --no-merges -ns 4.1.0..4.1.1
     6	Alexander Alekhin
     4	Pavel Rojtberg
     3	dnandha
     2	Ahmed Ashour
     2	LaurentBerger
     2	Leonid Beynenson
     2	Rostislav Vasilikhin
     2	Tomoaki Teshima
     1	Andrew
     1	James Bowley
     1	Krutika Bapat
     1	Lizeth Huertas
     1	RAJKIRAN NATARAJAN
     1	Suleyman TURKMEN
     1	Tobias Senst
     1	Vishal Chiluka
     1	aj28faty
     1	berak
     1	bitsun
     1	catree
     1	clunietp
     1	lichun
     1	mehlukas
     1	sebastian
     1	tegusi

July, 2019

OpenCV 3.4.7 has been released. Bug fixes, optimizations and other enhancements are propagated into OpenCV 4.1.1.

April, 2019

Spring update for OpenCV 4.x has been released.

Highlights of this release:

• DNN module:

  • Reduced peak memory consumption for some models by up to 30%.
  • Updated and improved integration with Intel Inference Engine:
    • Inference Engine 2018R3 is now the oldest supported version.
    • Myriad X (Intel® Neural Compute Stick 2) is now supported and tested.
    • Implemented automatic reshaping (for the input images of different resolutions) of networks represented in IE IR format.
    • Extended OpenCV DNN samples to support various models from OpenVINO Open Model Zoo
  • New networks from TensorFlow Object Detection API: Faster-RCNNs, SSDs and Mask-RCNN with dilated convolutions, FPN SSD

• Performance improvements:

  • More optimization using AVX2 instruction set.
  • Automatic runtime dispatching is available for large set of functions from core and imgproc modules.

• Android support:
  • VideoCapture C++ interface supports Android Media NDK (21+) video I/O file capture back-end

• Integrated many great patches from OpenCV community:

  • Matplotlib Perceptually Uniform Sequential colormaps
  • Add keypoints matching visualization for real-time pose estimation tutorial
  • Add Hand-Eye calibration methods
  • Java: improved support for multidimensional arrays (Mat)
  • Dynamically loaded videoio backends (FFmpeg, GStreamer)
  • opencv_contrib: Robust local optical flow (RLOF) implementations
  • opencv_contrib: Implementation of Quasi Dense Stereo algorithm
  • opencv_contrib: New module: Image Quality Analysis (IQA) API
  • opencv_contrib: BRISQUE No Reference Image Quality Assessment (IQA) API

git shortlog --no-merges -ns 4.0.1..4.1.0
   118	Alexander Alekhin
    32	Dmitry Kurtaev
    16	Vitaly Tuzov
    13	Maksim Shabunin
    11	Namgoo Lee
     9	Rostislav Vasilikhin
     7	Quentin Chateau
     6	Sayed Adel
     6	smirnov-alexey
     5	Alexander Nesterov
     5	Alexey Smirnov
     5	LaurentBerger
     4	Giles Payne
     4	Pavel Rojtberg
     3	Andrey Golubev
     3	Brad Kelly
     3	Liubov Batanina
     3	Ruslan Garnov
     3	berak
     3	catree
     2	Christoph Rackwitz
     2	Kohei Yoshida
     2	Lee Jaehwan
     2	Pedro Ferreira da Costa
     2	Stefan Dragnev
     2	Suleyman TURKMEN
     2	Wu Zhiwen
     2	klemens
     2	npochhi
     2	zuoshaobo
     1	103yiran
     1	AKAMath
     1	Adrian Renner
     1	AnastasiaaSenina
     1	Arnaud Brejeon
     1	Augusto Fraga Giachero
     1	Ayush Pandey
     1	BALACHANDAR S
     1	Bharat123Rox
     1	CUI Hao (Lab)
     1	Christopher N. Hesse
     1	David Carlier
     1	Easton Liu
     1	ExpandingDev
     1	George Wilson
     1	Gregor Mittag
     1	Hannah McLaughlin
     1	Jaewoo Song
     1	Jim Zhou
     1	JoeHowse
     1	Josh Veitch-Michaelis
     1	Juha Reunanen
     1	Kangning Song
     1	Lindsay Roberts
     1	Lubov Batanina
     1	Lucas Towers
     1	Matthew K. Gumbel
     1	Nicolae Rosia
     1	Oleh
     1	Otto Seiskari
     1	Pierre Chatelier
     1	RAJKIRAN NATARAJAN
     1	Rajkiran Natarajan
     1	Ramez Rafla
     1	Raphael Graf
     1	Richard Veale
     1	Scott Ramsby
     1	Thang Tran
     1	Thomas Peters
     1	WuZhiwen
     1	atinfinity
     1	cftang
     1	iPanda
     1	mehlukas
     1	rpici
     1	winice
     1	x3lif

git shortlog --no-merges -ns 4.0.1..4.1.0
     8  Namgoo Lee
     4  Pavel Rojtberg
     3  Alexander Alekhin
     3  clunietp
     2  Hamdi Sahloul
     2  Maksim Shabunin
     2  Raphael Graf
     1  Charles Taylor
     1  Dimitrios Psychogyios
     1  Dmitry Kurtaev
     1  JoeHowse
     1  Julian Seuffert
     1  Richard Veale
     1  Sreejith S
     1  Ted Steiner
     1  Tomoaki Teshima
     1  berak
     1  iindovina
     1  kushashwa ravi shrimali
     1  shimat
     1  tsenst
     1  utkarshg6

April, 2019

OpenCV 3.4.6 has been released. Bug fixes, optimizations and other enhancements are propagated into OpenCV 4.1.0.

December, 2018

New Year's update for OpenCV 4.0 has been released.

git shortlog --no-merges -ns 4.0.0..4.0.1
    44  Alexander Alekhin
    16  Dmitry Kurtaev
    12  Vitaly Tuzov
    10  Maksim Shabunin
     7  Evgeny Latkin
     5  Dmitry Budnikov
     3  Ruslan Garnov
     2  1over
     2  Adrian Kashivskyy
     2  LaurentBerger
     2  Quentin Chateau
     2  Rostislav Vasilikhin
     2  Sayed Adel
     2  Tomoaki Teshima
     2  vishwesh5
     1  Alexander Nesterov
     1  Bram
     1  Dan Mašek
     1  Dmitry Matveev
     1  Etienne Brateau
     1  Kartik Mohta
     1  Madan Ram
     1  Matthias Winkelmann
     1  Namgoo Lee
     1  Pavel Rojtberg
     1  Peter J. Stieber
     1  Rijubrata Bhaumik
     1  Sean McBride
     1  Sergiu Deitsch
     1  Thad House
     1  Tsukasa Sugiura
     1  Vasiliy Sorokin
     1  Wu Zhiwen
     1  WuZhiwen
     1  berak
     1  huangqinjin
     1  okriof
     1  pascal

git shortlog --no-merges -ns 4.0.0..4.0.1
     3  Pavel Rojtberg
     2  huangqinjin
     1  Alexander Alekhin
     1  LinkeyLeo
     1  Suleyman TURKMEN
     1  YTY
     1  Yuriy Obukh
     1  indianocean10000
     1  vishwesh5
     1  塚本信男

December, 2018

OpenCV 3.4.5 has been released. Bug fixes, optimizations and other enhancements are propagated into OpenCV 4.0.1.

4.0.0-alpha: September, 2018

4.0.0-beta: October, 2018

4.0.0 final: November, 2018

We are glad to announce OpenCV 4.0 release.

Here is what's new:

• A lot of C API from OpenCV 1.x has been removed. The affected modules are objdetect, photo, video, videoio, imgcodecs, calib3d.

• Persistence (storing and loading structured data to/from XML, YAML or JSON) in the core module has been completely reimplemented in C++ and lost the C API as well. For now base64 support is not complete (only loading base64-encoded XML and YAML is supported, encoding is not supported at all). Also, the random access of sequences stored in a FileNode is now a slow O(N) operation vs. fast O(1) in the previous implementation; use cv::FileNodeIterator for much faster sequential access. On the positive side, the loaded FileStorage's take 3-6x less memory than in the previous implementation.

• OpenCV is now C++11 library and requires C++11-compliant compiler. Note that OpenCV 3.x can also be built as C++11 library by passing -DENABLE_CXX11=ON flag to CMake. Now this is the only option so the flag is not needed and is not available anymore.

  • Thanks to the extended C++11 standard library, we could get rid of hand-crafted cv::String and cv::Ptr. Now cv::String == std::string and cv::Ptr is a thin wrapper on top of std::shared_ptr. Also, on Linux/BSD for cv::parallel_for_ we now use std::thread's instead of pthreads.

• DNN improvements

  • Added support for Mask-RCNN model. Follow a guide and use a python sample.

  • Integrated ONNX parser. We now support many popular classification networks. YOLO object detection network in partially supported as well (ONNX version of YOLO lacks some final layers that actually give you the list of rectangles). Thanks to Lubov Batanina for her first-time contribution to OpenCV!

  • Further improved performance of DNN module when it's built with Intel DLDT support by utilizing more layers from DLDT. By the way, DLDT has been recently released as open-source. See the guide how to build and use OpenCV with DLDT support.

  • API changes: by default, blobFromImage methods family do not swap red and blue channels and do not crop the input image. Beware that this API change has also been propagated to OpenCV 3.4 branch.

  • Experimental Vulkan backend has been added for the platforms where OpenCL is not available: https://github.com/opencv/opencv/pull/12703. Thanks to Zhiwen Wu and Juan J. Zhao for the contribution!

  • Added shortcuts for the most popular deep learning networks supported by OpenCV. You may specify an alias name of model to skip pre-processing parameters and even paths to models! In example, instead of

    python object_detection.py --model opencv_face_detector.caffemodel --config opencv_face_detector.prototxt --mean 104 177 123 --width 300 --height 300
    

    you can type just

    python object_detection.py opencv_fd
    

  • Fixed OpenCL acceleration on AMD and NVIDIA GPUs. Now you may enable DNN_TARGET_OPENCL for your model without extra environment variables. Please note that DNN_TARGET_OPENCL_FP16 is tested on Intel GPUs only, so it still requires additional flags.

• Completely new module opencv_gapi has been added. It is the engine for very efficient image processing, based on lazy evaluation and on-fly construction of the processing graph (hence the name Graph API or G-API). See Graph API (G-API) for details.

• Performance improvements

  • A few hundreds of basic kernels in OpenCV have been rewritten using so-called "wide universal intrinsics". Those intrinsics map to SSE2, SSE4, AVX2, NEON or VSX intrinsics, depending on the target platform and the compile flags. It should translate to noticeably better performance, even for some already optimized functions. For example, if you configure and compile OpenCV with CPU_BASELINE=AVX2 CMake flag, you can get extra 15-30% speed improvement for certain image processing operations. By OpenCV 4.0 gold we plan to translate many more kernels to such intrinsics and also employ our dynamic dispatching mechanism, so that on x64 platform AVX2-optimized kernels are always built-in and could be selected on-fly if the actual hardware supports such instructions (without having to change CPU_BASELINE). Big thanks to Sayed Adel for VSX backend and the initial (but rather complete!) AVX2 backend of the wide universal intrinsics! Big thanks to Vitaly Tuzov for conversion of many functions in OpenCV to wide universal intrinsics.
  • Support for IPP 2019 has beed added with IPPICV component upgrade.

• QR code detector and decoder have been added to opencv/objdetect module together with live sample. Currently, the decoder is built on top of QUirc library (which snapshot we put into opencv). Thanks to our intern Alexander Nesterov for this important contribution!

• The popular Kinect Fusion algorithm has been implemented, optimized for CPU and GPU (OpenCL), and integrated into opencv_contrib/rgbd module. To make the live sample work, we updated our Kinect 2 support in opencv/videoio module. In 4.0 beta the code has been accelerated for iGPU, which resulted in 3x performance boost in the high-resolution case (512x512x512 integration volume). Thanks to Rostislav Vasilikhin for the excellent work!

• Very efficient and yet high-quality DIS dense optical flow algorithm has been moved from opencv_contrib to opencv, video module. See the example. Thanks to Alexander Bokov, our GSoC student, who implemented this algorithm, and Peng Li, who optimized it for GPU.
• At the same time, slower TV L1 optical flow algorithm has been moved from opencv to opencv_contrib.

git shortlog --no-merges -ns 964a4d75b44a3c4c2425b9ed8c4c25c4e6db79ca..4.0.0
   387  Alexander Alekhin
    99  Dmitry Kurtaev
    45  Hamdi Sahloul
    44  Maksim Shabunin
    35  Vitaly Tuzov
    26  berak
    25  Tomoaki Teshima
    25  Vadim Pisarevsky
    23  catree
    19  Suleyman TURKMEN
    15  Sayed Adel
    11  Alexander Nesterov
    11  Pavel Rojtberg
    10  Rostislav Vasilikhin
     9  Dmitry Matveev
     8  Kuang Fangjun
     7  Li Peng
     6  Wu Zhiwen
     6  take1014
     5  cyy
     5  yuki takehara
     4  Evgeny Latkin
     4  LaurentBerger
     4  cclauss
     3  Apoorv Goel
     3  Karpushin Vladislav
     3  Lubov Batanina
     3  Michał Janiszewski
     3  Namgoo Lee
     3  Ruslan Garnov
     3  Wenfeng CAI
     3  k-shinotsuka
     3  shengyu
     3  tompollok
     2  Adam Radomski
     2  Alexander Duda
     2  Alexander Enaldiev
     2  Andrew Mroczkowski
     2  Antonio Borondo
     2  AsyaPronina
     2  Dmitry Budnikov
     2  George Mironov
     2  Jiri Horner
     2  Mansoo Kim
     2  Mark Harfouche
     2  Pavel Vlasov
     2  Peter Rekdal Sunde
     2  Sean McBride
     2  Vlad Karpushin
     2  Vladislav Sovrasov
     2  fegorsch
     2  gkaneto
     2  luz.paz
     2  pasbi
     1  Adam Rankin
     1  Alessandro de Oliveira Faria (A.K.A.CABELO)
     1  Alexey Nikolaev
     1  Ali Yasin Eser
     1  Anush Elangovan
     1  Apoorv
     1  Arnaud Brejeon
     1  Bahram Dahi
     1  CJ Smith
     1  CYTing1998
     1  Christopher Gundler
     1  Colin Smith
     1  Damien Picard
     1  David
     1  Diego Barrios Romero
     1  Emanuele Ruffaldi
     1  Fangjun Kuang
     1  Florian Echtler
     1  Forrest Reiling
     1  Gaetano Checinski
     1  Georgy Mironov
     1  HarshDolhare
     1  Henry
     1  Hiro Kobayashi
     1  Ilari Venäläinen
     1  Ivan Pozdeev
     1  Jakub Golinowski
     1  Jean Carass
     1  Kaartic Sivaraam
     1  Khem Raj
     1  Kyle D. Patterson
     1  Latkin, Yevgeny I
     1  Li, Peng
     1  Loic Devulder
     1  Loic Petit
     1  Lucas Teixeira
     1  Marat K
     1  Marco A. Gutierrez
     1  Matt Bennett
     1  Maxim Smirnov
     1  Menghui Xie
     1  Michael Firman
     1  Nesterov Alexander
     1  Nobuo Tsukamoto
     1  Patrick Cox
     1  Paul Jurczak
     1  Paul Shin
     1  Paul92
     1  Peter Jozsa
     1  Peter Leitzen
     1  Peter Whidden
     1  Philipp Hasper
     1  Pierre Jeambrun
     1  Reid Kleckner
     1  Ryan Wong
     1  Sacha
     1  Sam Radhakrishnan
     1  Sancho McCann
     1  Sergey Nuzhny
     1  Simon Que
     1  Spark Echo
     1  Takuho NAKANO
     1  Teng Yiliang
     1  Todor Tomov
     1  Triplesalt
     1  Vlad Kraevskiy
     1  WuZhiwen
     1  Zhenqing Hu
     1  abhi-jha
     1  amatyuko
     1  asciian
     1  branka-plateiq
     1  cDc
     1  cabelo
     1  chacha21
     1  drkoller
     1  exoson
     1  gineshidalgo99
     1  gnthibault
     1  huangqinjin
     1  ilovezfs
     1  jasjuang
     1  jsxyhelu
     1  kamino410
     1  logic1988
     1  lqy123000
     1  matech96
     1  maver1
     1  miaow1988
     1  rockzhan
     1  root
     1  soonbro
     1  ssnover95
     1  tellowkrinkle
     1  unknown
     1  vishwesh5
     1  wanghanmin
     1  woody.chow
     1  yom
     1  zarelaky
     1  zuoshaobo

git shortlog --no-merges -ns aaf8fffcfbe1b80f9653b21d2095bc9037d418be..4.0.0
    49  Alexander Alekhin
    18  Hamdi Sahloul
    16  Pavel Rojtberg
     8  LaurentBerger
     8  Tomoaki Teshima
     6  berak
     5  Maksim Shabunin
     5  Vadim Pisarevsky
     4  Rostislav Vasilikhin
     4  Suleyman TURKMEN
     3  Jukka Komulainen
     3  soyer
     3  tompollok
     2  Lubos
     2  Vitaly Tuzov
     2  catree
     1  Anton Shutikhin
     1  Antonio Borondo
     1  Colin
     1  Dietrich Büsching
     1  Jan Beich
     1  Jeff Bail
     1  Jiri Horner
     1  Khem Raj
     1  Kushashwa Ravi Shrimali
     1  Li-Chi Huang
     1  Mohammad Haghighat
     1  Sayed Adel
     1  SongChiYoung
     1  Unknown
     1  Varvrar
     1  Vladislav Sovrasov
     1  YTY
     1  bini
     1  d.bouron
     1  dianlujitao
     1  fegorsch
     1  gdemarcq
     1  gmedan
     1  kartoffelsalat
     1  simonreich
     1  trobro
     1  yarglawaldeg

November, 2018

OpenCV 3.4.4 has been released. This is a mantenance release. New features are landed in OpenCV 4.0.

August, 2018

OpenCV 3.4.3 has been released, with further extended dnn module, documentation improvements, some other new functionality and bug fixes.

$ git shortlog --no-merges -ns 3.4.2..3.4.3
    68  Alexander Alekhin
    24  Dmitry Kurtaev
    21  Maksim Shabunin
    10  berak
     5  Kuang Fangjun
     4  Alexander Nesterov
     4  catree
     3  Sayed Adel
     3  Suleyman TURKMEN
     3  Vadim Pisarevsky
     2  Li Peng
     2  Tomoaki Teshima
     2  Vitaly Tuzov
     2  luz.paz
     1  Bahram Dahi
     1  Colin Smith
     1  Hamdi Sahloul
     1  Hiro Kobayashi
     1  Kaartic Sivaraam
     1  Karpushin Vladislav
     1  Lucas Teixeira
     1  Maxim Smirnov
     1  Paul92
     1  Pierre Jeambrun
     1  Rostislav Vasilikhin
     1  Sacha
     1  Teng Yiliang
     1  Triplesalt
     1  amatyuko
     1  asciian
     1  logic1988
     1  miaow1988
     1  tompollok
     1  yom
     1  zarelaky

$ git shortlog --no-merges -ns 3.4.2..3.4.3
     8  Alexander Alekhin
     3  Pavel Rojtberg
     1  Anton Shutikhin
     1  Hamdi Sahloul
     1  Jan Beich
     1  LaurentBerger
     1  Li-Chi Huang
     1  Maksim Shabunin
     1  berak
     1  bini
     1  dianlujitao
     1  gdemarcq
     1  trobro

July, 2018

OpenCV 3.4.2 has been released, with further extended dnn module, documentation improvements, some other new functionality and bug fixes.

OpenCV 3.4.x development is switched from "master" to "3.4" branch. "master" branch is used for development of upcoming OpenCV 4.x releases.

Bugfixes / optimizations / small improvemets should go into "3.4" branch. We will merge changes from "3.4" into "master" regularly (weekly/bi-weekly).

• DNN improvements

  • Added a new computational target DNN_TARGET_OPENCL_FP16 for half-precision floating point arithmetic of deep learning networks using OpenCL. Just use net.setPreferableTarget(DNN_TARGET_OPENCL_FP16).
  • Extended support of Intel's Inference Engine backend to run models on GPU (OpenCL FP32/FP16) and VPU (Myriad 2, FP16) devices. See an installation guide for details.
  • Enabled import of Intel's OpenVINO pre-trained networks from intermediate representation (IR).
  • Introduced custom layers support which let you define unimplemented layers or override existing ones. Learn more in a corresponding tutorial.
  • Implemented a new deep learning sample inspired by EAST: An Efficient and Accurate Scene Text Detector.
  • Added a support of YOLOv3 and image classification models from Darknet framework.
  • Reduced top DNN's memory consumption and improvements in support of networks from TensorFlow and Keras.

• Excellent tutorials improvements. Python / Java examples are merged into C++ tutorials. Big thanks to Catree.

• Video I/O: improved support of Microsoft Media Foundation (MSMF)

$ git shortlog --no-merges -ns 3.4.1..3.4.2
   192  Alexander Alekhin
    64  Dmitry Kurtaev
    22  Tomoaki Teshima
    19  Maksim Shabunin
    19  Vitaly Tuzov
    14  catree
     8  Vadim Pisarevsky
     7  yuki takehara
     6  Namgoo Lee
     6  Sayed Adel
     5  Li Peng
     5  berak
     4  Alexander Nesterov
     4  cclauss
     4  k-shinotsuka
     4  shimat
     3  Adam Rankin
     3  Dan Mašek
     3  Kuang Fangjun
     3  Rostislav Vasilikhin
     3  shengyu
     2  Alexander Enaldiev
     2  Naoto Mizuno
     2  Pavel Vlasov
     2  cDc
     2  corley
     2  lopespt
     2  take1014
     1  Aleksandr Tischenko
     1  Andrei Costinescu
     1  Anthony Wertz
     1  Arkadiusz Raj
     1  Ben John
     1  Collen Jones
     1  Damien Picard
     1  David
     1  Eugene Mikhantiev
     1  Ilya A. Volynets-Evenbakh
     1  Jan Gaura
     1  Jonathan Martens
     1  Kyle D. Patterson
     1  LaurentBerger
     1  Li, Peng
     1  Michael Firman
     1  Nesterov Alexander
     1  Paul Jurczak
     1  Pavel Rojtberg
     1  Peter Rekdal Sunde
     1  RAJKIRAN NATARAJAN
     1  Rajkiran Natarajan
     1  Ryan Wong
     1  Sancho McCann
     1  Simon Que
     1  Sonny Kurniawan
     1  Spark Echo
     1  Suleyman TURKMEN
     1  Sérgio M. Basto
     1  Tristan Konolige
     1  Vishwa Prakash H V
     1  Vlad Kraevskiy
     1  Vladislav Sovrasov
     1  Wu Zhiwen
     1  abhi-jha
     1  atinfinity
     1  branka-plateiq
     1  cabelo
     1  codingforfun
     1  exoson
     1  gnthibault
     1  ilovezfs
     1  jchazalon
     1  kinchungwong
     1  ltqusst
     1  matech96
     1  miqlas
     1  native-api
     1  rockzhan
     1  tlanclos
     1  vasiliev-vb
     1  vishwesh5
     1  whizzzkid
     1  y0umu
     1  zuoshaobo

$ git shortlog --no-merges -ns 3.4.1..3.4.2
    36  Alexander Alekhin
    12  Pavel Rojtberg
     6  berak
     3  Vitaly Tuzov
     2  LaurentBerger
     2  Maksim Shabunin
     2  catree
     1  Aleksandr Tischenko
     1  Alireza Davoudi
     1  Colin
     1  Dmitry Kurtaev
     1  Kushashwa Ravi Shrimali
     1  Lizeth Huertas
     1  SongChiYoung
     1  Stepanenko Andrey
     1  gmedan
     1  yomna-safaa

February, 2018

OpenCV 3.4.1 has been just released, with further extended dnn module, multiple bug fixes and other small and big improvements.

• Added support for quantized TensorFlow networks. We are now able to load 8-bit matrices of weights. The computations are still done in FP32 (with plans to add FP16 path), but even now it's possible to compress the networks so that they consume less disk space. For example, our face detector can be modified to read and use our 8-bit quantized ResNet-based face detection network (pass it and this description file into cv::dnn::readNetFromTensorFlow()). And the face detection network takes just 2.7Mb.

• OpenCV is now able to use Intel DL inference engine as DNN acceleration backend. It gives quite noticeable performance boost on many models:

• Added AVX-512 acceleration to the performance-critical kernels, such as convolution and fully-connected layers. Some networks, such as SSD object detection and ENet semantical segmentation, have been accelerated by ~20%.

• SSD-based models trained and retrained in TensorFlow Object Detection API can be easier imported by a single invocation of python script making a text graph representation. Read a wiki page for details.

• Performance of pthreads backend of cv::parallel_for_() (which is used by default on Linux/Android, unless you installed TBB or chose OpenMP) has been greatly improved on many core machines, in particular 10-core Core i9. That let us to increase performance of DNN inference quite significantly (up to 6x) on such machines.

• OpenCL backend has been expanded to cover more layers. The layer fusion has also been improved to increase the speed even further. It shall be reminded that in order to enable OpenCL backend (if it's available on the host machine) one should call the method my_dnn_net.setPreferableTarget(cv::dnn::DNN_TARGET_OPENCL) before the inference, where my_dnn_net is the network loaded using cv::dnn::readNetFromCaffe(), cv::dnn::readNetFromTensorFlow() etc.

• Several bugs in various layers have been fixed; in particular, SSD priors are now computed slightly differently so that we can more accurate bounding boxes when running SSD on variable-size images.

• On-disk caching of precompiled OpenCL kernels has been fixed to comply with OpenCL standard. Correspondingly, it now works well with the new Intel OpenCL (NEO) drivers.
• Certain cases with UMat deadlock when copying UMats in different threads has been fixed.

• Supported Android NDK16
• Added build.gradle into OpenCV 4 Android SDK
• Added initial support of Camera2 API via JavaCamera2View interface

• C++11: added support of multi-dimentional cv::Mat creation via C++ initializers lists:

  auto K = Mat_<double>({3, 3}, {0, -1, 0, -1, 5, -1, 0, -1, 0});

• C++17: OpenCV source code and tests comply C++17 standard

• opencv_contrib: added GMS matching

• opencv_contrib: added CSR-DCF tracker

• opencv_contrib: several improvements in OVIS module (OGRE 3D based visualizer)

• ~248 patches have been merged since OpenCV 3.4.0

• 203 issues have been closed

$ git shortlog --no-merges -ns 3.4.0..3.4.1
    98  Alexander Alekhin
    27  Dmitry Kurtaev
    27  Li Peng
    27  Maksim Shabunin
    10  Fangjun Kuang
     6  Vitaly Tuzov
     6  luz.paz
     5  Namgoo Lee
     4  Tomoaki Teshima
     3  Arjan van de Ven
     3  Glue Crow
     3  LaurentBerger
     3  Sayed Adel
     3  Suleyman TURKMEN
     2  Alessandro de Oliveira Faria (A.K.A.CABELO)
     2  Arthur Williams
     2  Gregory Morse
     2  Hamdi Sahloul
     2  Pavel Rojtberg
     2  Rostislav Vasilikhin
     2  Steven
     2  Woody Chow
     2  berak
     2  csukuangfj
     2  oqtvs
     2  victor-ludorum
     2  wxzs5
     1  Aaron Bray
     1  Aditya Rohan
     1  Alexander Nesterov
     1  Ali Sentas
     1  Ce Zheng
     1  Chris Hall
     1  Coralie RACHEX
     1  Csaba Keszegh
     1  David Koller
     1  Elena Gvozdeva
     1  Eric Wang
     1  Erik Man
     1  Florian Echtler
     1  GlueCrow
     1  Harshal Nishar
     1  Jozef Mlich
     1  Jun Zhao
     1  Li, Peng
     1  Mark Harfouche
     1  Moshe
     1  PalkoNazar
     1  Patrik Huber
     1  Philipp Hasper
     1  Ryo Suzuki
     1  Rémi Ratajczak
     1  SarenT
     1  Stanislaw Halik
     1  Sui Libin
     1  Tom Becker
     1  Travers
     1  Vinay Sharma
     1  Ya-Chiu Wu
     1  catree
     1  denmatfoton
     1  elenagvo
     1  jasjuang
     1  mworchel
     1  razerhell
     1  sergeybe
     1  take1014
     1  tobycollins
     1  woody.chow
     1  yuki takehara

$ git shortlog --no-merges -ns 3.4.0..3.4.1
    10  Pavel Rojtberg
     4  Hamdi Sahloul
     3  Alexander Alekhin
     3  KUANG Fangjun
     2  Maksim Shabunin
     2  Vitaly Tuzov
     2  berak
     2  catree
     1  Adam
     1  Andrej Muhič
     1  Fangjun Kuang
     1  John Cant
     1  Kv Manohar
     1  Plamen Dimitrov
     1  Suleyman TURKMEN
     1  Yujun Shi
     1  adrianheron
     1  caseymcc
     1  klchang

December, 2017

OpenCV 3.4 (NY 2018 edition) has been released, with further extended dnn module, some other new functionality, improvements and bug fixes.

The results of yet another GSoC 2017 OpenCV project on implementing new background subtraction algorithms have been integrated. Please, check the script, the algorithms LSBP-* and GSOC-*.

opencv_dnn has been further improved and extended:

• Added faster R-CNN support and the corresponding example.

• Javascript bindings have been extended to cover DNN module. See the corresponding tutorial
• Also, DNN has been further accelerated for iGPU using OpenCL. In particular, MobileNet-SSD networks now run ~7 times faster than in OpenCV 3.3.1. Big thanks to Peng Li and his team for the contribution.

• On-disk caching of precompiled OpenCL kernels has been finally implemented. It noticeably reduces initialization time of applications that use a lot of kernels.
• Also, it's now possible to load and run pre-compiled OpenCL kernels via T-API. It can be useful on embedded platforms without OpenCL JIT compiler available. For details, see the following guide on OpenCL acceleration in OpenCV.

• Bit-exact 8-bit and 16-bit resize has been implemented (currently supported only bilinear interpolation). Use INTER_LINEAR_EXACT interpolation mode. In many places in the library we've switched to this new resize. Bit-exact means that on any platform with any compiler etc. you will get absolutely the same results for the same scale factor values, there will be no difference (even +/-1) in pixel values in the output image. The function complements a few other bit-exact algorithms added in OpenCV 3.3.1: cvtColor(RGB<=>Lab, RGB<=>Luv).

• Now the reference guide includes function/method prototypes for the Python bindings, e.g. type "convexHull" in the search field and you will see the C++ declaration and the Python wrapper spec below. That was another GSoC 2017 project. Big thanks to Cartucho and Vincent Rabaud.
• Excellent tutorial on how to compute and use homography matrix in OpenCV has been added. Big thanks to Catree.
• The guide on how to use OpenCV with Intel Media SDK in order to get hardware-accelerated video decoding/encoding has been written by Maksim Shabunin.
• Another guide has been added a few months ago by Alexander Alekhin, but was not mentioned before, on how to profile OpenCV-based applications using Intel Tracing Technology tool.
• Quite comprehensive set of tutorials on how to use OpenCV within a browser (via javascript bindings) has been created during GSoC 2017

• ~250 patches have been merged since OpenCV 3.3.1
• over 200 issues have been closed

103	Alexander Alekhin
 25	Dmitry Kurtaev
 23	Maksim Shabunin
 17	Li Peng
 17	elenagvo
 14	Vitaly Tuzov
 10	Suleyman TURKMEN
 10	catree
  8	Tomoaki Teshima
  6	Sayed Adel
  5	LaurentBerger
  5	Vladislav Sovrasov
  5	Wu Zhiwen
  4	Pavel Rojtberg
  4	Rostislav Vasilikhin
  4	Vadim Pisarevsky
  3	tribta
  2	Bhanudutta
  2	Fakabbir Amin
  2	Mattia Rizzolo
  2	Ryan Fox
  2	Shinya Ishikawa
  2	berak
  2	dtmoodie
  1	Akhilesh Kumar
  1	Alexander Nesterov
  1	Alexander Rybnikov
  1	Amro
  1	Andrey Smorodov
  1	Arthur Pastel
  1	Cartucho
  1	Christof Kaufmann
  1	David Geldreich
  1	Elena Gvozdeva
  1	Florian Echtler
  1	Hamdi Sahloul
  1	Haritha
  1	Iago Suárez
  1	Igor Wodiany
  1	Ivan Pozdeev
  1	Jacob MacRitchie
  1	James Perkins
  1	Jcrist99
  1	Jiri Horner
  1	Jonathan Viney
  1	Juha Reunanen
  1	KUANG Fangjun
  1	Mikhail Paulyshka
  1	Muhammad Abdullah
  1	Nickola
  1	Pushkal Katara
  1	Riyuzakii
  1	Roman Cattaneo
  1	Shresth Verma
  1	Simon Guo
  1	Wei Hao
  1	Wu, Zhiwen
  1	alessandro faria
  1	gdkessler
  1	klchang
  1	woody.chow
  1	wxzs5
  1	zhijackchen
  1	zhongwuzw

20	sghoshcvc
18	Vladislav Sovrasov
 9	Alexander Alekhin
 6	Vitaly Tuzov
 6	berak
 5	Hamdi Sahloul
 5	Maksim Shabunin
 4	Pavel Rojtberg
 4	Suman Ghosh
 3	LaurentBerger
 3	Leonardo Brás
 2	Suleyman TURKMEN
 1	Adam Gradzki
 1	Anup Parikh
 1	Dmitry Kurtaev
 1	Egor Pugin
 1	Leonardo lontra
 1	Oleg Kalachev
 1	Vladislav Samsonov
 1	cDc
 1	fiammante
 1	klchang
 1	kurnianggoro
 1	kushalvyaskv
 1	sukhad-app

October, 2017

OpenCV 3.3.1 with extended dnn module, most of GSoC 2017 results integrated and other improvements has been released.

Results of several GSoC 2017 projects have been integrated:

• multi-language (e.g. C++/Python/Java) tutorials by João Cartucho, mentored by Vincent Rabaud
• AKAZE acceleration by Jiri Horner, mentored by Bence Magyar
• End-to-end text detection and recognition by Suman Kumar Ghosh, mentored by Prasanna Krishnasamy

One of GSoC 2017 projects that deserves a dedicated section in the change log:

• Javascript interface to OpenCV (via Emscripten technology) and interactive Web-based OpenCV tutorials by Gang Song and Congxiang Pan. This small yet powerful team was supervised by Sajjad Taheri, Ningxin Hu and Mohammad R Haghighat.

opencv_dnn has been further improved and extended; new samples have been added:

• Face detection sample and the light-weight Resnet-10 + SSD based network have been added. See the example for details. The detector runs around 20-50FPS on a normal desktop/laptop, and the network is just 10MB (FP32) or even 5MB (FP16).

• The partial Darknet parser, enough to parse YOLO models, as well as the layers to support a few variations of YOLO object detection networks have been integrated. See the corresponding sample.

• Preliminary support for FP16 networks has been added. We do not do computations in FP16 yet, we convert FP16 coeffs to FP32 when loading the networks. In the case of Caffe we rely on the following fork, whereas in the case of TF we use the official version.

• Several new layers have been added to support text detection, image colorization and some other networks.

• OpenCV has been optimised for PPC64 (64-bit PowerPC) architecture by mapping the universal intrinsics to VSX. Big thanks to Sayed Adel for the patches.

• OpenCL acceleration path of the bioinspired module has been restored. See the bioinspired-based HDR/Background segmentation example. On Iris Pro HD5200 we get ~5x acceleration over the CPU branch.

• KCF tracker has been accelerated by ~40%.

• Hardware-accelerated video encoding/decoding via MediaSDK is now available on Windows too.

87  Alexander Alekhin
32  Dmitry Kurtaev
20  Vladislav Sovrasov
19  Rostislav Vasilikhin
19  tribta
14  Suleyman TURKMEN
10  saskatchewancatch
 9  Tomoaki Teshima
 8  Maksim Shabunin
 6  Ningxin Hu
 5  LaurentBerger
 5  berak
 4  Pavel Rojtberg
 4  Steven Puttemans
 4  Vitaly Tuzov
 3  Pavel Vlasov
 3  KUANG Fangjun
 3  Boris Fomitchev
 3  Igor Wodiany
 2  Ryan Fox
 2  Nishant Arora
 2  Emanuele Ruffaldi
 2  Wu Zhiwen
 2  Tony0
 2  RAJ NATARAJAN
 2  Adi Shavit
 2  Christof Kaufmann
 2  Aleksandr Rybnikov
 2  Sayed Adel
 2  stalin18
 2  Jiri Horner
 2  Jasper Shemilt
 2  Zoltán Mizsei
 2  blendin
 1  Ricardo Ribalda Delgado
 1  Sayan Sinha
 1  Sebastian Höffner
 1  Sergey Alexandrov
 1  Vivek Wisdom
 1  Vladislav Vinogradov
 1  Woody Chow
 1  Yaron Inger
 1  bradford barr
 1  catree
 1  jodrescher
 1  joncrall
 1  jrobble
 1  lzx1413
 1  mevatron
 1  pengli
 1  tz70s
 1  vipinanand4
 1  678098
 1  woody.chow
 1  Adam Rankin
 1  Alex Zatsman
 1  AlexeyAB
 1  Arvid Piehl Lauritsen Böttiger
 1  Balint Cristian
 1  Benoit Blanchon
 1  Bisaloo
 1  Camille Barneaud
 1  Congxiang Pan
 1  David Geldreich
 1  Deric Crago
 1  Faheel Ahmad
 1  Geoff McIver
 1  Gregory Morse
 1  Guillaume Jacob
 1  James Perkins
 1  Jeremy Maitin-Shepard
 1  John Hany
 1  KUANG, Fangjun
 1  Kerry Billingham
 1  Khem Raj
 1  Kim Lindberg Schwaner
 1  Lewis B
 1  Li Peng
 1  Maarten de Vries
 1  Martin Seyferth
 1  Mattia Rizzolo
 1  Patel, Nilaykumar K
 1  Peter Fischer
 1  Peter J. Stieber
 1  Philipp Hasper
 1  Pranit Bauva
 1  Raymond Kirk

19  Alexander Alekhin
19  Vladislav Sovrasov
13  Anguelos Nicolaou
 4  Suleyman TURKMEN
 3  Vitaly Tuzov
 3  acyen
 3  jaco
 2  Woody Chow
 2  Maksim Shabunin
 2  LaurentBerger
 2  Andrew Hundt
 2  Fernando Martin
 1  baudenri
 1  f3rm4rf3r
 1  jasjuang
 1  jrobble
 1  klchang
 1  Ahmed Yarub Hani
 1  woody.chow
 1  Albert
 1  Cristian Duguet
 1  Dmitry Kurtaev
 1  Felix Wehnert
 1  Francis Charette Migneault
 1  Gregor Kovalčík
 1  Jaykob
 1  Linus Ericsson
 1  Nuzhny007
 1  Piotr Majkrzak
 1  atinfinity

August, 2017

OpenCV 3.3 with accelerated dnn module, moved to the main repository, first-ever appearance of Halide in OpenCV, multiple optimizations and other improvements has been released.

opencv_dnn module has been moved from the contribution repository (opencv_contrib) to the main repository (opencv) and was significantly improved:

• High-level API has been modified and is even more convenient now.

• The regression tests have been expanded, some new tests have been added. Now, there are 46 of them.

• Many bugs have been fixed in Torch and TF loaders, as well as in some processing layers. Now we check that on a certain set of networks the results from OpenCV DNN match or very close to the results from the original frameworks. We also check that the results claimed in the papers for such networks are achievable with OpenCV DNN.

• Performance has been substantially improved. Layer fusion has been implemented and some performance-critical layers have been optimized using AVX, AVX2, SSE and NEON. An external BLAS (OpenBLAS, MKL, ATLAS) is not needed anymore.

• New samples in C++ and Python have been added.

• The optional Halide backend has been added. It can accelerate OpenCV DNN on GPU when the GPU is fast enough.

  See Deep Learning in OpenCV for details about the module.

• Upgraded IPPICV from 2015.12 to 2017.2 version brought ~15% speed improvement into core and imgproc modules (measured as geometrical mean over the corresponding performance tests).

• Dynamic dispatching of SSE4.2/AVX/AVX2 code has been implemented. Previously, OpenCV had to be built with SSE4.x/AVX/AVX2 turned on in order to use such optimizations and that made it incompatible with older hardware. Now the OpenCV binaries automatically adapt to the real hardware and make use of new instructions if they are available while retaining compatibility with older hardware. All the existing AVX/AVX2 optimizations in OpenCV have been refactored to use this technology. AVX acceleration of DNN also uses dynamic dispatching.

• OpenCV can now be configured and built as C++ 11 library. Pass -DENABLE_CXX11=ON to CMake. On some modern Linux distributions, like the latest Fedora, it’s enabled by default.

• New features for C++ 11 users have been added:

  // 1. use parallel_for_ with lambda to compute Mandelbrot fractal
  parallel_for_(Range(0, img.rows*img.cols), [&](const Range& r) {
      for (int r = r.start; r < r.end; r++) {
          int i = r/img.cols, j = r%img.cols, t, maxiter=500;
          complex<float> z0(j * 2.7f/img.cols – 2.1f,
                            i * 2.4f/img.rows – 1.2f);
          for (t = 0; t < maxiter; t++) {
              if (z.real()*z.real()+z.imag()*z.imag()> 4.f) break;
              z = z*z + z0;
          }
          img.at<uchar>(i, j)=uchar(sqrt((float)t/maxiter)*255);
  }});
  
  // 2. using C++ 11 initializers
  auto A = Mat_<double>({0, -1, 0, -1, 5, -1, 0, -1, 0}).reshape(1, 3);
  Vec_<int, 10> digits = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9};
  
  // 3. apply LUT to 8-bit image in C++ 11 style
  Mat_<Vec3b> img = imread("lena.jpg");
  for( auto& pixel: img ) {
      pixel[0] = gamma_lut[pixel[0]];
      pixel[1] = gamma_lut[pixel[1]];
      pixel[2] = gamma_lut[pixel[2]];
  }

• Support for hardware-accelerated video encoding/decoding using Intel GPUs through Intel Media SDK has been implemented for Linux (in the form of backends for cv::VideoCapture and cv::VideoWriter).

  • Encoding and decoding of raw H.264 and MPEG1/2 video streams is supported, media containers are not supported yet.

  • Note that system kernel should have specific support for hardware as mentioned in the Media SDK/Server Studio installation guide. In some cases kernel recompilation will be needed.

  • See also: https://github.com/Intel-Media-SDK

210	Alexander Alekhin
 36	Vladislav Sovrasov
 35	Tomoaki Teshima
 31	Vitaly Tuzov
 26	Maksim Shabunin
 21	Fangjun KUANG
 17	chacha21
 14	LaurentBerger
 12	berak
 11	Rostislav Vasilikhin
 11	catree
 10	dkurt
  8	Matthias Grundmann
  8	Pavel Rojtberg
  8	Pyotr Chekmaryov
  8	Vadim Pisarevsky
  8	Woody Chow
  7	Aleksandr Rybnikov
  7	atinfinity
  6	Hamdi Sahloul
  6	vskarlsruhe
  5	Jiri Horner
  5	KUANG, Fangjun
  5	Michele Cancilla
  5	StevenPuttemans
  4	Dal Rupnik
  4	Naba Kumar
  4	Pavel Vlasov
  4	chrizandr
  4	saskatchewancatch
  3	Claudio
  3	Jaime O. Rios
  3	Peter Würtz
  3	PkLab.net
  3	Suleyman TURKMEN
  3	Wenju He
  3	Yuriy Solovyov
  3	abratchik
  3	nnorwitz
  3	oulenz
  2	Alexander Broemmer
  2	Artem Lukoyanov
  2	Chaoshuai Lu
  2	Drew Hintz
  2	Kerry Billingham
  2	LukeZhu
  2	Matt Bennett
  2	Philipp Hasper
  2	Rink Springer
  2	Sergiu Deitsch
  2	Tetragramm
  2	Tong Ke
  2	Utkarsh Sinha
  2	jveitchmichaelis
  2	lewisjb
  2	mshabunin
  2	tribta
  2	utibenkei
  2	ville-v
  2	ziggy90127
  1	Adeel
  1	Adeel Ahmad
  1	Alessandro Gentilini
  1	Alexander Duda
  1	Amro
  1	André Mewes
  1	Anupam Sobti
  1	Arek
  1	Arkadiusz Raj
  1	Arnaud Brejeon
  1	BadrinathS
  1	Bragadeesh
  1	Brian Armstrong
  1	Bryce Evans
  1	Cartucho
  1	Christof Kaufmann
  1	David Carlier
  1	Dinar
  1	Dinar Ahmatnurov
  1	Dmitry Kurtaev
  1	Duncan Barber
  1	Egor Pugin
  1	Fernando Iglesias Garcia
  1	Frank de Brabander
  1	Gabriel B. Nunes
  1	Guilherme William Guedes
  1	Hans Gaiser
  1	Ilija Puaca
  1	Ismo Puustinen
  1	James Clarke
  1	Jejos
  1	Jeremy Maitin-Shepard
  1	Jinay Patel
  1	Jiří Sejkora
  1	Jon Eyolfson
  1	Jose Gómez
  1	Juha Reunanen
  1	Julian Exner
  1	Julian Tanke
  1	Kene Udeh
  1	Kuan-Yi Li
  1	Kyle Fleming
  1	Lorena García
  1	Louie Helm
  1	Mark Szumowski
  1	Martin Ganeff
  1	Neil Shipp
  1	Neio Zhou
  1	Nicholas Nadeau
  1	Ninad P.Chaudhari
  1	Paolo Perkovic
  1	Pascal Thomet
  1	Patrik Huber
  1	Piotr Semenov
  1	PkLab
  1	Raj Natarajan
  1	Robert Bragg
  1	Robin Chavignat
  1	Ryan Pavlik
  1	Ryuhei Mori
  1	Sadika Sumanapala
  1	Satoshi Tanaka
  1	Sergey
  1	Shuyu Liang
  1	Sixela David
  1	Steve
  1	Steven Puttemans
  1	Tim King
  1	Tony Lian
  1	Tony Theodore
  1	Vadzim Piatrou
  1	Werner Palfinger
  1	Yakun Wang
  1	Yuval Langer
  1	Zhiwei Su
  1	brian-armstrong-discord
  1	cDc
  1	cclauss
  1	daB0bby
  1	gylns
  1	hailong-wang
  1	huangqinjin
  1	insoow
  1	ionut
  1	jexner
  1	jqly
  1	krishraghuram
  1	kvaghel1
  1	likan999
  1	logic1988
  1	mrquorr
  1	mschoeneck
  1	msk-repo01
  1	n001519
  1	neok-m4700
  1	orisano
  1	puqeko
  1	q
  1	remi
  1	rmensing
  1	sovrasov
  1	umbraclet16
  1	vartenkov
  1	wykvictor
  1	wzw
  1	xuning0
  1	ylemkimon
  1	zongwave

44	Vladislav Sovrasov
24	Alexander Alekhin
14	Aleksandr Rybnikov
11	Hamdi Sahloul
11	dkurt
 9	Vadim Pisarevsky
 7	berak
 6	LaurentBerger
 5	Maksim Shabunin
 4	Balint Cristian
 4	arrybn
 3	Dmitry Kurtaev
 3	Li Peng
 3	Pavel Rojtberg
 3	Pavel Vlasanek
 3	Philipp Hasper
 3	Suleyman TURKMEN
 3	jexner
 2	Kumataro
 2	Steven Puttemans
 2	Vladislav Samsonov
 2	Woody Chow
 2	atinfinity
 2	lhelontra
 2	mshabunin
 2	np-csu
 2	olivierpascal
 1	Diego
 1	Edgar Riba
 1	Erik Sandrén
 1	Erwan Normand
 1	Haaris
 1	Jcrist99
 1	Jeremy Nicola
 1	Julian Exner
 1	Justin Hotchkiss Palermo
 1	Kiran Pradeep
 1	Leonardo lontra
 1	Lorena García
 1	Max-Wang
 1	Natsuki Kawai
 1	Rostislav Vasilikhin
 1	Sergey
 1	StevenPuttemans
 1	Tham
 1	Yorwba
 1	Yuriy Obukh
 1	abratchik
 1	catree
 1	goldstar616
 1	logic1988
 1	nyanp
 1	oqtvs
 1	saskatchewancatch
 1	szk1509
 1	utibenkei

December, 2016

Long-awaited update to OpenCV 3.x release series, with tons of improvements and bug fixes. Big thanks to everyone who particpated! If you contributed something but your name is missing, please, let us know.

• Results from 11 GSoC 2016 projects have been submitted to the library, 9 of them have been integrated already, 2 still pending (the numbers below are the id’s of the Pull Requests in opencv or opencv_contrib repository):

  • Ambroise Moreau (Delia Passalacqua) – sinusoidal patterns for structured light and phase unwrapping module (711)
  • Alexander Bokov (Maksim Shabunin) – DIS optical flow (excellent dense optical flow algorithm that is both significantly better and significantly faster than Farneback’s algorithm – our baseline), and learning-based color constancy algorithms implementation (689, 708, 722, 736, 745, 747)
  • Tyan Vladimir (Antonella Cascitelli) – CNN based tracking algorithm (GOTURN) (718, 899)
  • Vladislav Samsonov (Ethan Rublee) – PCAFlow and Global Patch Collider algorithms implementation (710, 752)
  • João Cartucho (Vincent Rabaud) – Multi-language OpenCV Tutorials in Python, C++ and Java (7041)
  • Jiri Horner (Bo Li) – New camera model and parallel processing for stitching pipeline (6933)
  • Vitaliy Lyudvichenko (Anatoly Baksheev) – Optimizations and improvements of dnn module (707, 750)
  • Iric Wu (Vadim Pisarevsky) – Base64 and JSON support for file storage (6697, 6949, 7088). Use names like “myfilestorage.xml?base64” when writing file storage to store big chunks of numerical data in base64-encoded form.
  • Edgar Riba (Manuele Tamburrano, Stefano Fabri) – tiny_dnn improvements and integration (720: pending)
  • Yida Wang (Manuele Tamburrano, Stefano Fabri) – Quantization and semantic saliency detection with tiny_dnn
  • Anguelos Nicolaou (Lluis Gomez) – Word-spotting CNN based algorithm (761: pending)

  big thanks to all the participants!

• There have been many contributions besides GSoC (big thanks to the authors, which names/nicknames are enclosed in parentheses):
  • DICOM support via GDCM library (look4pritam), PAM format support (DmtKats)
  • Support GigE cameras via Aravis SDK (thanks to ArkadiuszRaj)
  • Interactive camera calibration app, see https://github.com/opencv/opencv/tree/master/apps/interactive-calibration, and QR matrix decomposition (Vlad Sovrasov)
  • OpenCL accelerations exposed to Python (Nikolay Polyarniy)
  • Instrumentation framework for performance testing (Pavel Vlasov)
  • Many improvements in tests (Maksim Shabunin, Alexander Alekhin and many other people)
  • Weighted median filter (Zhou Chao)
  • VGG descriptor, BoostDesc descriptor (Balint Cristian)
  • Selective search segmentation (Maximilien Cuony)
  • Paillou and Deriche Filter (Laurent Berger)
  • Bilateral texture filter (jhlee525)
  • BIF descriptor (Alexey Spizhevoy)
  • BM3D noise reduction (Bartek Pawlik)
  • Fine Grained Saliency (Sebastian Montabone)
  • Position-Color-Texture signatures extractor (Gregor Kovalčík)
  • Thinning algorithms (Steven Puttemans)
  • Fast Line Detector (Jin Han Lee)
  • Freetype2 support (@Kumataro)
  • etc.

• A lot of improvements have been done in our dnn module (https://github.com/opencv/opencv_contrib/tree/master/modules/dnn):
  • The module has been expanded (in particular, LSTM and many other layers have been added) and refactored to support OpenCL acceleration (which is temporarily disabled) (Vitaly Lyudvichenko)
  • External BLAS implementations are detected and used to accelerate convolutions (Vitaly Lyudvichenko)
  • Added semantic segmentation support + sample, see https://github.com/opencv/opencv_contrib/blob/master/modules/dnn/samples/fcn_semsegm.cpp (Vladimir Bystricky)
  • Single Shot MultiBox Detector: added missing layers + sample, see https://github.com/opencv/opencv_contrib/blob/master/modules/dnn/samples/ssd_object_detection.cpp (Anna Petrovicheva)
  • Added importer of TensorFlow models + sample; see https://github.com/opencv/opencv_contrib/blob/master/modules/dnn/samples/tf_inception.cpp (Alexander Rybnikov)

• There are also many updates to make sure that OpenCV compiles and runs on modern OSes with modern compilers:
  • Ubuntu 16.04 LTS with GCC 5.×. GCC 6.x is supported too.
  • OSX 10.11 – 10.12 with XCode 8.x; in particular, we now use the new AVFoundation backend on OSX. Thanks to yoffy, Matthew Self and Ryan Govostes.
  • Visual Studio 2015; VS 2017 will likely work too.
  • Better support for AArch64 on Linux and Android

• Intel MKL can now be used to accelerate SVD, LU, camera calibration, as well as DNN module.
• Added initial support for Intel Compiler (Intel Compiler 2017 has been tested on Windows and Linux)
• Many SSE optimizations have been done; big thanks to K-Shinotsuka, Tomoaki Teshima, mschoeneck and many other people.
• Several OpenCL kernels, specially optimized for Intel GPUs, have been contributed by Peng Li and others.

• NVidia corporation has donated ARM optimizations for OpenCV, the Carotene library (https://github.com/opencv/opencv/tree/master/3rdparty/carotene).
• CUDA 8 is now supported.
• There is also the new tutorial on installing OpenCV on Tegra platforms by Randy J. Ray: http://docs.opencv.org/master/d6/d15/tutorial_building_tegra_cuda.html, which could probably be useful for other mobile platforms running Linux as well.

• OpenVX 1.x implementations can now be used to accelerate OpenCV, mostly through the HAL mechanism. Build OpenCV with WITH_OPENVX flag turned on and specifty where to find OpenVX (see https://github.com/opencv/opencv/blob/master/cmake/FindOpenVX.cmake for details).
• Convenient C++ wrappers for OpenVX that simplify joint use of OpenCV + OpenVX have been created by Andrey Pavlenko. See the examples at https://github.com/opencv/opencv/tree/master/samples/openvx, the wrappers are in ivx.hpp header.
• External BLAS+Lapack implementations (such as MKL, OpenBLAS, Atlas or Apple’s Accelerate framework) can now be used to accelerate SVD decomposition, LU decomposition etc.
• HAL has been extended to support much more functions such as image warping, color conversion, filtering operations.

• This release features a record number of PRs and bug fixed:
  • 778 + 191 PRs merged into opencv + opencv_contrib master since 3.1.0
  • 348 bugs and 69 features in opencv master
  • 47 bugs and 14 features in opencv_contrib

git shortlog --no-merges -ns 3.1.0..3.2.0
   244  Alexander Alekhin
    63  Vitaly Tuzov
    57  Tomoaki Teshima
    54  Maksim Shabunin
    51  Vladislav Sovrasov
    46  Ilya Lavrenov
    40  Rostislav Vasilikhin
    33  k-shinotsuka
    30  StevenPuttemans
    29  Pavel Rojtberg
    24  MYLS
    18  Marina Noskova
    17  catree
    15  Alexander Smorkalov
    14  Suleyman TURKMEN
    13  Vladislav Vinogradov
    13  apavlenko
    13  berak
    12  Alexandr Kondratev
    11  mshabunin
    10  Dan
    10  Pavel Vlasov
    10  Valeriy Van
    10  atinfinity
    10  matze
     9  Li Peng
     9  abratchik
     8  Roman Donchenko
     8  Vadim Pisarevsky
     7  Aleksandar Atanasov
     7  Philipp Hasper
     6  ArkadiuszRaj
     6  Francisco Facioni
     6  LaurentBerger
     6  PkLab.net
     6  sourin
     5  E Sommerlade
     5  Eric Zavesky
     5  Ishank gulati
     5  Matthew Self
     5  Philip
     5  Tetragramm
     4  Amro
     4  Andrey Pavlenko
     4  Arthur Cinader
     4  Christoph Spörk
     4  Dikay900
     4  Marian Zajko
     4  alcinos
     4  daB0bby
     4  filipsladek
     4  ohnozzy
     3  Alexander Karsakov
     3  Andreas Franek
     3  Arek
     3  Arkadiusz Raj
     3  Dimitrios Katsaros
     3  Eric Sommerlade
     3  Gilles Rochefort
     3  Juha Reunanen
     3  Marek Smigielski
     3  Mathieu Barnachon
     3  Matthew Skolaut
     3  Philippe FOUBERT
     3  Sergei Nosov
     3  Vitaliy Lyudvichenko
     3  Your Name
     3  a-andre
     3  anirudt
     3  aravind
     3  kurenai
     3  panxiaochun
     3  shruthikashyap
     3  thierry
     3  will hunt
     3  Прун Виктор
     2  Addison Elliott
     2  Alexander Shishkov
     2  Anatoly Orlov
     2  Asal Mirzaieva
     2  Bleach666
     2  Bob Paulin
     2  Cartucho
     2  Dan Moodie
     2  David Wolever
     2  Declan Moran
     2  Dmitry Trifonov
     2  DozyC
     2  Elad Joseph
     2  Elif Albuz
     2  Eric Liao
     2  Erich Keane
     2  Hajo Nils Krabbenhöft
     2  Hannes
     2  Jan Starzynski
     2  Joe Howse
     2  Jose Luis Guardiola
     2  Josh Lubawy
     2  Lucas Solomon
     2  Naba Kumar
     2  Patrick Snape
     2  Patrik Huber
     2  Peter Rekdal Sunde
     2  Piotr Semenov
     2  Quentin
     2  Randy J. Ray
     2  Robbert Klarenbeek
     2  Rok Mandeljc
     2  Sean McBride
     2  Sergiu Deitsch
     2  Steven Puttemans
     2  Susmit
     2  Teng Cao
     2  emiswelt
     2  jiakai
     2  lewgate
     2  mschoeneck
     2  shengyu
     2  takacsd
     1  Aaron Simmons
     1  Adam Rankin
     1  Alexander Fedorov
     1  AlexeyAB
     1  Ankit Yadav
     1  Anton V. Shokurov
     1  Anush Elangovan
     1  Artyom Lebedev
     1  Balint Cristian
     1  Bernd Kuhls
     1  BinMatrix
     1  Bleach
     1  Bram Ton
     1  CSBVision
     1  Christian Kapeller
     1  Colin Finck
     1  Dmitry Mozgin
     1  Dmitry-Me
     1  Dustin Spicuzza
     1  Eduardo Arnold
     1  Elena Gvozdeva
     1  Elena Shipunova
     1  Emanuel Jöbstl
     1  Eugene Khvedchenya
     1  Evan Heidtmann
     1  Feng Zhoutian
     1  Finfa811
     1  Fraser Harris
     1  Graham Fyffe
     1  Gregory Kramida
     1  Gregory Morse
     1  Guillaume Jacob
     1  Guy Sheffer
     1  HMM@T430s-x64
     1  Han Hu
     1  Ian MacLeod
     1  Ivar Clemens
     1  JR Heard
     1  Jake Kesinger
     1  Jason von Nieda
     1  Jcrist99
     1  Jeff McBride
     1  Jeroen Kromwijk
     1  Jiri Horner
     1  Josep Bosch
     1  Juan Pablo Aveggio
     1  Julien Dehos
     1  Julien Dubiel
     1  Julien Nabet
     1  Kai Hugo Hustoft Endresen
     1  Kerry Billingham
     1  Kevin Hughes
     1  Kevin, Hu
     1  KeySecure
     1  Kotrix
     1  Krishnaraj Bhat
     1  Leonardo Brás
     1  Leonid Volnitsky
     1  Louis Letourneau
     1  Luis Roberto Morales Iglesias
     1  LukeZhu
     1  Matt Leotta
     1  Matthew Cook
     1  Matthieu FT
     1  Matěj Šmíd
     1  Michael Shtutman
     1  Morrison
     1  Nikolay Polyarniy
     1  Noel Eck
     1  Oded Green
     1  Oliver Schreer
     1  Oskari Vinko
     1  Patrick Spettel
     1  Peter Entwistle
     1  Philipp Nordhus
     1  Philippe Renon
     1  Pierre Dulac
     1  Pranav Ganorkar
     1  Prayag Verma
     1  Péter Trombitás
     1  Rahul Chhabra
     1  S. Garrido
     1  Sean Li
     1  Sergey Alexandrov
     1  Simmo Saan
     1  Simon Hänisch
     1  Sovrasov
     1  Stephane Thiell
     1  Steven E Wright
     1  Tauranis
     1  Thierry Fauck
     1  Thomas Schenker
     1  Tomi
     1  Tsukasa Sugiura
     1  Vadzim Piatrou
     1  Vincent Rabaud
     1  WANG Guoqin
     1  Xiaolei Yu
     1  Zhenqing, Hu
     1  Zhigang Gong
     1  ahb
     1  arybnikov
     1  bedbad
     1  chacha21
     1  danil-tolkachev
     1  debjan
     1  dharezlak
     1  fegorsch
     1  ggargov
     1  guoxuedong
     1  jacobdang
     1  joao.faro
     1  logic1988
     1  look4pritam
     1  monoid911
     1  mpkh
     1  mrquorr
     1  mvukad
     1  parismita
     1  qiao
     1  renu285
     1  rishirajsurti
     1  robertxwu
     1  sarthak
     1  solosuper
     1  stbnps
     1  themightyoarfish
     1  viodetools
     1  yigitsoy
     1  yoffy
     1  Özgür Can

git shortlog --no-merges -ns 3.1.0..3.2.0
    43  Vitaliy Lyudvichenko
    30  Alexander Alekhin
    29  Anna Petrovicheva
    25  Vladislav Samsonov
    25  Vladislav Sovrasov
    21  Gary Bradski
    15  Pavel Rojtberg
    12  berak
    10  Balint Cristian
     5  Maksim Shabunin
     5  Suleyman TURKMEN
     5  apetrovichev
     5  lluisgomez
     4  Alexander Bokov
     4  Amro
     4  StevenPuttemans
     4  mshabunin
     3  Jinhan Lee
     3  Patrick Snape
     3  Rok Mandeljc
     3  Steve Nicholson
     3  folz
     3  vbystricky
     2  LaurentBerger
     2  Maximilien Cuony
     2  Prof. Dr. Rudolf Haussmann
     2  Vadim Pisarevsky
     2  Vitaly Tuzov
     2  Yuki Furuta
     2  catree
     2  sbokov
     1  Aleksandr Rybnikov
     1  Alexey Spizhevoy
     1  AmbroiseMoreau
     1  Amy Winston
     1  Andrea Merello
     1  Bartek Pawlik
     1  Bleach
     1  Bleach666
     1  Christian Richardt
     1  Daniel Ching
     1  Dikay900
     1  Eric Zavesky
     1  Eugene Mamin
     1  Geoff
     1  Gregor Kovalcik
     1  Gregory Kramida
     1  Gunshi Gupta
     1  Han Hu
     1  Konstantin Volokh
     1  Kotrix
     1  Kumataro
     1  Lorena García
     1  MambaWong
     1  Marek Smigielski
     1  Martin Nowak
     1  Minh Ngo
     1  Nicu Stiurca
     1  Pavel Vlasanek
     1  Rostislav Vasilikhin
     1  Sarthak Ahuja
     1  Sunglok Choi
     1  Thomas Schulz
     1  VBystricky
     1  Vasilikhin
     1  Vladimir
     1  Wu Jiang
     1  Zhou Chao
     1  abratchik
     1  alessiodore
     1  andrewk-mccann
     1  aravind
     1  baisheng lai
     1  comdiv
     1  damir
     1  edgarriba
     1  jasjuang
     1  jhlee525
     1  lukaszi89
     1  lych77
     1  samontab
     1  sht3ch
     1  tharunkalwa

December, 2015

This is the first stabilization update in 3.x series. It shall be reminded that since OpenCV 3.0 we’ve changed the version enumeration scheme, so that 3.1 is the same sort of update to 3.0 as 2.4.1 was to 2.4.0.

• There have been many successful projects this year (student and mentor(s) are listed after the project name), and the results are available as a part of OpenCV 3.1 (partially in the main repository, but mostly opencv_contrib):
  • Omnidirectional Cameras Calibration and Stereo 3D Reconstruction – opencv_contrib/ccalib module (Baisheng Lai, Bo Li)
  • Structure From Motion – opencv_contrib/sfm module (Edgar Riba, Vincent Rabaud)
  • Improved Deformable Part-based Models – opencv_contrib/dpm module (Jiaolong Xu, Bence Magyar)
  • Real-time Multi-object Tracking using Kernelized Correlation Filter – opencv_contrib/tracking module (Laksono Kurnianggoro, Fernando J. Iglesias Garcia)
  • Improved and expanded Scene Text Detection – opencv_contrib/text module (Lluis Gomez, Vadim Pisarevsky)
  • Stereo correspondence improvements – opencv_contrib/stereo module (Mircea Paul Muresan, Sergei Nosov)
  • Structured-Light System Calibration – opencv_contrib/structured_light (Roberta Ravanelli, Delia Passalacqua, Stefano Fabri, Claudia Rapuano)
  • Chessboard+ArUco for camera calibration – opencv_contrib/aruco (Sergio Garrido, Prasanna, Gary Bradski)
  • Implementation of universal interface for deep neural network frameworks – opencv_contrib/dnn module (Vitaliy Lyudvichenko, Anatoly Baksheev)
  • Recent advances in edge-aware filtering, improved SGBM stereo algorithm – opencv/calib3d and opencv_contrib/ximgproc (Alexander Bokov, Maksim Shabunin)
  • Improved ICF detector, waldboost implementation – opencv_contrib/xobjdetect (Vlad Shakhuro, Alexander Bovyrin)
  • Multi-target TLD tracking – opencv_contrib/tracking module (Vladimir Tyan, Antonella Cascitelli)
  • 3D pose estimation using CNNs – opencv_contrib/cnn_3dobj (Yida Wang, Manuele Tamburrano, Stefano Fabri)

• Besides GSoC, we have multiple contributions from the community; below is the partial list of contributed functionality:
  • plot module – Nuno Moutinho
  • ni-black thresholding algorithm – ximgproc, Samyak Datta
  • Superpixel segmentation using Linear Spectral Clustering, SLIC superpixels – ximgproc, Balint Cristian
  • HDF (HDF5) support module – Balint Cristian
  • Depth to external RGB camera registration – rgbd, Pat O’Keefe
  • Computing normals for a point cloud – rgbd, Félix Martel-Denis
  • Fuzzy image processing module – Pavel Vlasanek
  • Rolling guidance filter – ximgproc, Zhou Chao
  • 3x faster SimpleFlow – optflow, Francisco Facioni
  • Code and docs for CVPR 15’ paper “DNNs are easily fooled” – Anh Nguyen
  • Efficient Graph-based image segmentation algorithm – ximgproc, Maximilien Cuony
  • Sparse-to-dense optical flow – optflow, Sergey Bokov
  • Unscented Kalman Filter (UKF) and Augmented UKF – tracking, Svetlana Filicheva
  • Fast Hough Transform – ximgproc, xolodilnik
  • Improved performance of haartraining – Teng Cao
  • Python samples made compatible with Python 3 – bastelflp

• The iOS framework (opencv2.framework) can now be configured to include both opencv and opencv_contrib functionality. Previously, there were 2 separate frameworks, but because of the include directory names (“opencv2/…”, regardless of whether some module is from opencv or from opencv_contrib), the produced opencv_contrib was unusable.

• more efficient camera support on Android 5+
• faster round() on ARM (it’s also applicable to iOS); big thanks to Manuele Tamburano and Stefano Fabri for this!

• OpenCV 3.1 supports fresh OSes from Microsoft and Apple, as well as the newest development tools (VS2015 and Xcode 7, respectively).

• IPPICV (a specially-for-opencv free-of-charge subset of IPP (https://software.intel.com/en-us/intel-ipp) that has been kindly provided by Intel Corporation) is now based on IPP 9.0.1, which should make OpenCV even faster on modern Intel chips.

• There are multiple new features in the OpenCL layer, resulted from our collaboration with Intel Corporation
  • Improved/extended interoperability with DirectX 9, 10, 11. That includes conversions between DX Surface and UMat, with number of copying operations reduced where possible. See opencv/samples/directx.
  • Interoperability with Video Acceleration API on Linux. This feature requires Intel Media Server Studio (https://software.intel.com/en-us/intel-media-server-studio/try-buy) and uses Intel’s cl_intel_va_api_media_sharing extension to OpenCL. See opencv/samples/va_intel
  • OpenCL<=>OpenGL interoperability via cl_khr_gl_sharing extension. It’s possible now to convert OpenGL textures and OpenGL buffers to/from UMat. See opencv/samples/opengl.
  • OpenCL<=>OpenCL interoperability. It means, people can now use OpenCL-accelerated OpenCV together with their custom OpenCL code and/or other OpenCL libraries. See opencv/samples/opencl for details.
  • Support for Camera2 API in Android 5+. See opencv/samples/android/tutorial-4-opencl, the tutorial that demonstrates 3 ways of processing data from camera:
    • purely CPU pipeline (3-4 fps on our test device)
    • OpenCV-based using UMat and transparent API (10-13 fps on the same device)
    • direct use of OpenCL (28-30fps). This is the fastest method, as you can see, because it uses OpenCL images, whereas more universal T-API has to use OpenCL buffers.

• HAL (Hardware Acceleration Layer), as a separate OpenCV module, opencv_hal, lived a short yet a bright life; we decided to split it by parts and move the parts into the respective regular OpenCV modules (core, imgproc etc.). It will help us to keep the dependency graph clean and sane.
• Added 2 examples (see opencv/samples/hal) on how to provide external accelerated versions of the HAL functions; note that an external implementation does not have to implement all of the HAL. The supplied README explains how to build the custom HAL accelerator, and how to build OpenCV with such a custom HAL replacement: https://github.com/opencv/opencv/tree/master/samples/hal
• Added some more few functions to the HAL (arithmetic operations, split, merge); much more to come in OpenCV 3.2

• Over 420 pull requests to opencv and over 100 pull requests to opencv_contrib have been merged in since 3.0.0. Big thanks to all the people who submitted bug fixes, new functionality and other small and big improvements! Special thanks goes to all the GSoC 2015 students and mentors, who created a lot of great functionality!

git shortlog --no-merges -ns 3.0.0..3.1.0
   146  Vladislav Vinogradov
   109  Alexander Alekhin
   103  Alexander Smorkalov
    73  Maksim Shabunin
    68  Ilya Lavrenov
    48  Roman Donchenko
    47  StevenPuttemans
    45  Pavel Rojtberg
    28  Andrey Pavlenko
    25  Seon-Wook Park
    20  Pavel Vlasov
    20  Suleyman TURKMEN
    18  Viet Dinh
    17  Alexey Ershov
    15  berak
    14  Vladimir Dudnik
    13  Artur Wieczorek
    12  Dan
    12  Lorena García
    10  Dikay900
    10  ippei ito
     9  Mansour Moufid
     8  E Braun
     8  Grigory Serebryakov
     7  Alexander Karsakov
     7  Alexander Nitsch
     7  Vadim Pisarevsky
     7  Vijay Pradeep
     6  LaurentBerger
     6  Marian Zajko
     6  Nguyen Nguyen
     6  Philipp Hasper
     6  flp
     6  sbokov
     5  Andreas Stührk
     5  PhilLab
     5  Rok Mandeljc
     5  Ruslan Baratov
     5  askourik
     5  songyuncen
     4  Abe Friesen
     4  Aman Verma
     4  Dan Moodie
     4  Dinar Ahmatnurov
     4  Dominik Kleiser
     4  Elad Joseph
     4  Gleb Gladilov
     4  Ishant Mrinal Haloi
     4  Mike Maraya
     4  Tom Stellard
     4  Vitaly Tuzov
     4  edgarriba
     4  grundman
     4  hoangviet1985
     4  themightyoarfish
     3  Adam Gibson
     3  Andrey Kamaev
     3  Camille
     3  Cédric Rousseau
     3  Elena Shipunova
     3  Gregory Morse
     3  Hajo Nils Krabbenhöft
     3  Igor Kuzmin
     3  Maxim Kostin
     3  Renato Florentino Garcia
     3  Richard Yoo
     3  Samuel Martin
     3  Seunghoon Park
     3  Teng Cao
     3  Yan Wang
     3  a-andre
     3  jiakai
     3  unknown
     2  Aleksandr Petrikov
     2  Alex Torres
     2  Alexander Duda
     2  Anatoly Baksheev
     2  Andrew Senin
     2  Anton V. Shokurov
     2  Ariel Bernal
     2  Balint Cristian
     2  Ben Hagen
     2  Bruno Goncalves
     2  Daniel Stonier
     2  Dmitry Melnichenko
     2  Enes Ateş
     2  Evgeny Talanin
     2  GregoryMorse
     2  Jan S. (Milania1)
     2  John Stowers
     2  Leonid Beynenson
     2  Luis Díaz Más
     2  Nils Plath
     2  Nisarg Thakkar
     2  Philippe FOUBERT
     2  Pierre Letessier
     2  Prof. Dr. Rudolf Haussmann
     2  Rodrigo Benenson
     2  Sergey Alexandrov
     2  Sergiu Dotenco
     2  Tsukasa Sugiura
     2  Vicente Olivert Riera
     2  Vincent Rabaud
     2  Vladimir Kolesnikov
     2  WilhelmHannemann
     2  howtobeahacker
     2  jayceelock
     2  jisli
     2  kalistratovag
     2  lujia
     2  paul.kim
     2  qubick
     2  robertxwu
     2  theodore
     1  Aaron Simmons
     1  Abhijit Kundu
     1  Adam
     1  Adam Geitgey
     1  Adi Shavit
     1  Adrian Clark
     1  AfterEight
     1  Alankar Kotwal
     1  Alexander Petrikov
     1  Alexander Stohr
     1  AlexanderStohr
     1  Amro
     1  Andreas Franek
     1  Antonella Cascitelli
     1  Anush Elangovan
     1  Ashley Stacey
     1  Ashod Nakashian
     1  Belev
     1  Benoit Seguin
     1  Bert
     1  Boris Daskalov
     1  Bovaz
     1  Brian Park
     1  Chris Kitching
     1  Chris Mayo
     1  Christian Richardt
     1  ComFreek
     1  Craig Reynolds
     1  Deanna Hood
     1  Dmitry Budnikov
     1  Dmitry Gribanov
     1  Drew Jetter
     1  Ehren Metcalfe
     1  Eric Sommerlade
     1  Evgeny Agafonchikov
     1  Firat Kalaycilar
     1  Florent
     1  GabrieleDalmazzone
     1  HelenWong
     1  Hernan Badino
     1  Ignas Daukšas
     1  Ishank gulati
     1  Jaime Fernandez
     1  Jan Starzynski
     1  Jay Bosamiya
     1  Jeremy Huddleston Sequoia
     1  Jie Yang
     1  Joe Howse
     1  Jonas Vautherin
     1  Josh Klontz
     1  Jüri Aedla
     1  Kauê de Moraes Vestena
     1  Kazuki Matsuda
     1  Keita Kita
     1  Kevin Hughes
     1  Lectem
     1  LeonidBeynenson
     1  Leszek Swirski
     1  Manfred Georg
     1  ManuelFreudenreich
     1  Martijn Liem
     1  Martin Ueding
     1  Mat Moore
     1  Matteo Piovanelli
     1  Maximilien Cuony
     1  Miguel Algaba
     1  Milania1
     1  Nghia Ho
     1  Nickolay Polyarniy
     1  Niklas Frisk
     1  Nikolay Polyarniy
     1  Oliver Lumby
     1  Pastafarianist
     1  Patrik Huber
     1  Philip Salvaggio
     1  Pierre Moulon
     1  Pierre-Emmanuel Viel
     1  Raaj
     1  RafaRuiz
     1  Rafael Sadowski
     1  René
     1  Robbert Klarenbeek
     1  Rohit Rawat
     1  S. Garrido
     1  Samyak Datta
     1  Sethur
     1  Simon Heinen
     1  Stefan Cornelius
     1  Stephen Mell
     1  Steven Puttemans
     1  Thomas Dunker
     1  Thomas Gabrowski
     1  Thomas Weisbach
     1  Tian Zhi
     1  Tim D. Smith
     1  Valentin Tsatskin
     1  ValeryTyumen
     1  Vipul Sharma
     1  Vitaliy Lyudvichenko
     1  Wangyida
     1  Wenju He
     1  Yang Fan
     1  Ying Xiong
     1  Youssef Kashef
     1  aletheios
     1  alexander barakin (aka sash-kan)
     1  art-programmer
     1  ausentso
     1  bhack
     1  boatx
     1  brossetti
     1  comdiv
     1  doltac
     1  emiswelt
     1  greensea
     1  jormansa
     1  manuele
     1  mattip
     1  mbarann
     1  micalan
     1  michaelveth
     1  niederb
     1  quentin
     1  rajithr
     1  scorneli
     1  spmallick
     1  teng88
     1  thebucc
     1  ttagu99
     1  ultrafro
     1  侯骥

git shortlog --no-merges -ns 3.0.0..3.1.0
   169  Vladimir
    48  Kurnianggoro
    29  Wangyida
    19  Muresan Mircea Paul
    18  lluis
    17  baisheng lai
    16  Maksim Shabunin
    14  Anh Nguyen
    13  Lluis Gomez-Bigorda
    10  [email protected]
     9  Seon-Wook Park
     9  Vlad Shakhuro
     9  nmoutinho
     8  Oded Green
     8  Patrick Snape
     8  Zhou Chao
     8  berak
     6  xolodilnik
     5  Baisheng Lai
     5  Marc-Stefan Cassola
     5  Pavel Rojtberg
     5  felix
     5  sbokov
     4  Alexander Alekhin
     4  Alexander Stohr
     4  StevenPuttemans
     4  edgarriba
     3  Balint Cristian
     3  Francisco Facioni
     3  Maximilien Cuony
     3  jiaolong_x220
     2  Aakash Chopra
     2  Jan S. (Milania1)
     2  RobertaRavanelli
     2  S. Garrido
     2  Samyak Datta
     2  Vadim Pisarevsky
     2  Yang Fan
     1  103yiran
     1  Alex Tomala
     1  Clint Pells
     1  Dikay900
     1  DirtyMaster
     1  Hyunjun Kim
     1  Jesus Briales
     1  Jesús Briales
     1  MMp131316
     1  Pat O'Keefe
     1  Philipp Hasper
     1  Rok Mandeljc
     1  Suleyman TURKMEN
     1  Sunglok Choi
     1  SvetlanaFilicheva
     1  Vitaliy Lyudvichenko
     1  Yan Wang
     1  baudenri
     1  comdiv
     1  grundman
     1  howtobeahacker
     1  lar-lab-unibo
     1  m4nh
     1  manuele
     1  previ
     1  tucna

June, 2015

These are changes since 3.0 rc1.

• Over 200 bugs reported at http://code.opencv.org/projects/opencv/issues have been resolved/closed. It includes many fixes in docs, build scripts, python wrappers, core, imgproc, photo, features2d, objdetect, contrib modules, as well as some performance improvements etc.

• Added pthreads-based backend for cv::parallel_for_. It means that all the parallel processing should be available out-of-the-box on any POSIX-compatible OS, including QNX and such. You are welcome to try it out.

• OpenCV Manager on Android has been completely rewritten in Java and now supports both OpenCV 2.4 and 3.0. After a bit more testing we will put it to Google Play.
• The other, a bit sad but inevitable news – we had to drop support for nativecamera on Android. It used some undocumented API and never worked stable.

• Many excellent contributions in opencv_contrib/xfeatures2d:
  • Christian Balint contributed long-awaited DAISY features
  • He also contributed improved version of rotation-invariant BRISK descriptor by Gil Levi
  • Gil Levi contributed very nice LATCH binary descriptor that outperforms all presently available in OpenCV binary descriptors (ORB, BRIEF, AKAZE etc.) and is comparable with heavier and slower SURF.

• Over 80 pull requests have been merged in since 3.0 rc. Big thanks to all the people who submitted bug fixes, new functionality and other small and big improvements! This time special thanks goes to Philip (Dikay900) who did (and still does) excellent job on porting various bug fixes and other small improvements from 2.4 to master/3.0. Thank you, Philip!

$ git shortlog —no-merges -ns 3.0.0-rc1..origin/master
60  Vadim Pisarevsky
31  laurentBerger
17  Maksim Shabunin
10  cbalint13
7  Maxim Kostin
6  Alexander Smorkalov
6  Ilya Lavrenov
6  StevenPuttemans
6  Vladimir Dudnik
5  Andrey Pavlenko
5  GilLevi
3  Dikay900
3  Philipp Hasper
3  Ruslan Baratov
3  rajithr
3  sgjava
2  Andreas Stührk
2  Christian Richardt
2  Deanna Hood
2  Joe Minichino
2  Luis Díaz Más
2  Mansour Moufid
2  Marek Nogacki
2  Martin Ueding
2  Vladislav Vinogradov
2  Zhigang Gong
2  kalistratovag
1  AfterEight
1  Aleksandr Petrikov
1  Alexander Nitsch
1  Andrew Senin
1  Ashod Nakashian
1  Belev
1  Boris Daskalov
1  Camille
1  Craig Reynolds
1  David Hirvonen
1  Ehren Metcalfe
1  Evgeny Agafonchikov
1  Jüri Aedla
1  Leonid Beynenson
1  Martijn Liem
1  Marvin Smith
1  Michaël Sdika
1  Mike Maraya
1  Milania1
1  Niklas Frisk
1  Owen Healy
1  Patrik Huber
1  Piotr Dobrowolski
1  Roman Donchenko
1  S. Garrido
1  Samed Ozdemir
1  Samuel Martin
1  Samyak Datta
1  Thomas Gabrowski
1  Vicente Olivert Riera
1  Vincent Rabaud
1  Vladimir Kolesnikov
1  aletheios
1  berak
1  jormansa
1  lujia
1  msandler
1  yanlend
1  zenev

$ git shortlog —no-merges -ns 3.0.0-rc1..origin/master
19  cbalint13
11  GilLevi
6  Alexandre Benoit
4  Vadim Pisarevsky
2  laurentBerger
1  BISMOY MURASING
1  berak
1  root

April, 2015

These are changes since 3.0 beta.

• Improved compatibility with OpenCV 2.4:
  • 2.4.11 now includes “opencv2/core.hpp” and other such headers in addition to standard “opencv2/core/core.hpp”.
  • smart pointers (Ptr<>) can now be created in both 2.4 and 3.0 style (new ClassName(params) vs makePtr(params))
  • trained and stored stat models from opencv_ml 2.4 can now be loaded and used by opencv_ml 3.0 as-is.
  • the 2.4=>3.0 transition guide has been sketched: http://docs.opencv.org/master/db/dfa/tutorial_transition_guide.html

• We did not put OpenCV 3 to Google Play yet, but we prepared installable OpenCV 3.0 Manager for Android, which can be installed and tried on your device. It can co-exist with OpenCV 2.4 Manager on the same device.

• There are multiple improvements and bug-fixes for WinRT port (as well as Windows 8.x port) of OpenCV by Microsoft guys (big thanks to Max Kostin!)
  • In particular, parallel_for is enabled on WinRT, so the code should run much faster on multi-core devices
  • Also, the WMF video capturing backend has been greatly improved.

• Standalone motion jpeg codec has been added to opencv_videoio. It does not need ffmpeg or any other 3rd-party lib. According to our measurements, it’s also much faster than ffmpeg, especially on ARM. For the decoder you should have JPEG support enabled (through built-in or external libjpeg). How to use it? To encode motion jpeg video, use .avi file extension and CV_FOURCC(‘M’, ‘J’, ‘P’, ‘G’). The decoder part has been verified on such streams (avi files with index, where each frame is encoded using baseline jpeg) and few random motion jpeg clips from net, but we have not tested it thoroughly.

• Preliminary version of OpenCV HAL, low-level acceleration API beneath OpenCV, has been introduced. Currently it includes just a few math functions, but will grow soon. It also includes so-called “universal intrinsics”, inspired by NEON=>SSE conversion header by Victoria Zhislina from Intel: https://software.intel.com/en-us/blogs/2012/12/12/from-arm-neon-to-intel-mmxsse-automatic-porting-solution-tips-and-tricks The idea is that one can use a single SIMD code branch that will compile to either SSE or NEON instructions depending on the target platform. For example,

  // a, b and c are floating-point arrays
  for( int i = 0; i < n; i+=4 )
      v_store(c + i, v_load(a+i) + v_load(b+i));

  will be expanded to either

  for( int i = 0; i < n; i+=4 )
      _mm_storeu_ps(c + i, mm_add_ps(_mm_loadups(a+i), mm_loadu_ps(b+i));

  or

  for( int i = 0; i < n; i+=4 )
      vst1q_f32(c + i, vaddq_f32(vld1q_f32(a+i), vld1qf32(b+i));

  Using such intrinsics one can write accelerated code, debug it on desktop and then run it without any changes on ARM and get reasonable performance.

• Over 500 pull requests have been merged in since 3.0 beta. Big thanks to all the people who submitted bug fixes, new functionality and other small and big improvements! OpenCV becomes more and more a community-driven project and we are pleased to see that!

$ git shortlog —no-merges -ns 3.0.0-beta..origin/master
95  Vladislav Vinogradov
88  Maksim Shabunin
74  Ilya Lavrenov
40  Erik Karlsson
33  Olexa Bilaniuk
28  Vadim Pisarevsky
24  Dmitry-Me
24  orestis
18  StevenPuttemans
17  Maxim Kostin
15  Yan Wang
14  Alexander Alekhin
11  Roman Donchenko
8  Ashod Nakashian
7  Joe Howse
7  Nisarg Thakkar
6  Andrey Kamaev
6  Dikay900
5  Alexander Nitsch
5  Evgeny Agafonchikov
5  TobyWanKenobi
5  theodore
5  Сергей Нужный
4  Andrew Senin
4  Artur Wieczorek
4  Hamid Bazargani
4  Pavel Rojtberg
4  berak
3  Alexander Smorkalov
3  Ben Hagen
3  Deanna Hood
3  Marvin Smith
3  Nicu Știurcă
3  Philipp Hasper
3  Simon Heinen
3  Takahiro Poly Horikawa
3  Ying Xiong
2  ASUS
2  Ahmatnurov Dinar
2  Alexander Duda
2  Ana Huaman Quispe
2  Eric Sommerlade
2  Naer Chang
2  Nils Plath
2  Sync-my-L2P
2  VBystricky
2  guopei
2  ippei ito
2  kalistratovag
2  karelknoest
2  sanuj
2  vbystricky
1  Adam Borowski
1  Adam Greig
1  Alexander Bohn / FI$H2k
1  Alexander Karsakov
1  Andrey Pavlenko
1  Ari Suwendi
1  Basheer Subei
1  Boaz Stolk
1  Chris Mayo
1  Chuanbo Weng
1  Claudio Caraffi
1  Daeyun Shin
1  Daniel Angelov
1  Daniel Sjölie
1  Dmitriy Anisimov
1  Florian Verdet
1  Guo Yejun
1  HelenWong
1  Jay Bosamiya
1  Jiri Drbalek
1  Jonathan Viney
1  Josep Bosch
1  Julien Nabet
1  Kai Wolf
1  Kevin Squire
1  LorenaGdL
1  Max Kostin
1  Michae Gharbi
1  Mike Izbicki
1  Nicolas Riebesel
1  Owen Healy
1  Pat O’Keefe
1  Pavel Vlasov
1  Prof. Dr. Rudolf Haussmann
1  Quentin Minster
1  RafaRuiz
1  Rok Mandeljc
1  S. Garrido
1  Samyak Datta
1  Sancho McCann
1  Scott Graybill
1  Shiquan Wang
1  Tim D. Smith
1  Timur Sattarov
1  Tzafrir
1  UQ Times
1  Yang Fan
1  burun
1  eltermann
1  exeltior
1  fhsm
1  greensea
1  hahne
1  mariadeanton
1  potpath
1  sergei
1  soyer
1  tcavallari
1  tt
1  ttagu99
1  vincentweb

$ git shortlog —no-merges -ns 3.0.0-beta..origin/master
13  Maksim Shabunin
5  cbalint13
3  Auron-X
3  Dikay900
3  Str3iber
2  Dmitriy Anisimov
2  Jay Bosamiya
2  Rok Mandeljc
2  Vadim Pisarevsky
2  berak
1  Alfonso Sanchez-Beato
1  Antonella Cascitelli
1  Beat Küng
1  Dinar Ahmatnurov
1  Nisarg Thakkar
1  Sh0
1  Shuda Li
1  StevenPuttemans
1  Vladimir
1  Yan Wang
1  jiaolong_cvc228
1  pmkalshetti
1  yifita

November, 2014

These are changes since 3.0 alpha.

• Performance of OpenCL-accelerated code on Intel Iris Graphics and Intel Iris Pro Graphics has been improved by 10%-230%. That includes faster Canny edge detector, Laplacian, StereoBM, BruteForceMatcher, BackgroundSubtractorMOG2, StitchingWarpers etc. New OpenCL kernels were implemented for several functions: HoughLines, HoughLinesP, cvtColor (selected modes), Gemm, DFT. Thanks Alexander Alekhin, Alexander Karsakov, Elena Gvozdeva, Vladimir Bystritsky, Sergey Sivolgin and other guys who did that!

• About 40 commonly used image processing functions have been optimized using vector NEON instructions, so OpenCV 3.0 beta should run noticeably faster on modern ARM chips. Big thanks to Ilya Lavrenov for the amazing job!

• Java bindings have been substantially improved. We now have bindings for the updated features2d, background subtractor classes, a part of opencv_contrib etc. Thanks to Maksim Shabunin for the improvements!

• On x86 and x64 platforms OpenCV binaries include and use a subset of Intel® Integrated Performance Primitives (Intel® IPP) by default. OpenCV 3.0 beta includes a subset of Intel® IPP 8.2.1 with additional optimization for AVX2.

• Over 200 pull requests have been merged in since 3.0 alpha. Big thanks to all the people who submitted bug fixes, new functionality and other small and big improvements! OpenCV becomes more and more a community-driven project and we are pleased to see that!

$ git shortlog —no-merges -ns 3.0.0-alpha..origin/master
129  edgarriba
71  Ilya Lavrenov
45  Alexander Karsakov
41  Adrien BAK
39  Rahul Kavi
37  Vadim Pisarevsky
27  Maksim Shabunin
20  Ernest Galbrun
15  Dmitriy Anisimov
14  Artur Wieczorek
13  Alexander Mordvintsev
12  Alexander Alekhin
9  vbystricky
9  Alexander Smorkalov
9  Rok Mandeljc
8  Elena Gvozdeva
8  Marc Rollins
7  Philipp Hasper
5  berak
5  ElenaGvozdeva
4  PhilLab
3  Juan Carlos Niebles
3  Alexander Duda
3  Alexander Shishkov
3  xantares
3  jaco
3  Brian Park
3  Chuanbo Weng
3  Igor Kuzmin
3  Michele Adduci
2  Andrey Pavlenko
2  Bence Magyar
2  Miroslav Benes
2  Shubhra Pandit
2  StevenPuttemans
2  abidrahmank
2  f-morozov
2  micha137
1  Jose-Luis Blanco-Claraco
1  Pat O’Keefe
1  Pavel Vlasov
1  John Kua
1  Huu Nguyen
1  Pierrick Koch
1  Poly Takahiro Horikawa
1  GregoryMorse
1  Felix Endres
1  Benoit Seguin
1  jeremy
1  Tomasz Posłuszny
1  U-KruchininD-ПК\KruchininD
1  VBystricky
1  Dmitry Gribanov
1  Yan Wang
1  Yusuke Suzuki
1  Anatoly Baksheev
1  bartaandras
1  Daniel Stonier
1  dkanafeev
1  Boaz Stolk
1  eltermann
1  Ling Wang@z77x
1  Manfred Georg
1  Leszek Swirski
1  Matthew Conway
1  Maximilien Cuony
1  Ariel Elkin

$ git shortlog —no-merges -ns e2fde8..origin/master
69  biagio montesano
55  Vlad Shakhuro
46  Alex Leontiev
36  Bellaktris
28  Vadim Pisarevsky
24  lluis
19  dmitriy.anisimov
18  vludv
11  Dmitriy Anisimov
10  Bence Magyar
10  Daniel Angelov
10  Alexander Shishkov
9  ahb
6  tpietruszka
5  Maksim Shabunin
5  Beat Küng
4  manuele
4  StevenPuttemans
4  Alexander Mordvintsev
4  vbystricky
3  Philipp Hasper
3  berak
3  Sancho McCann
2  Alexander Alekhin
2  Ilya Lavrenov
2  Alexandre Benoit
1  tolgabirdal
1  Shuda Li
1  Rok Mandeljc
1  VBystricky
1  Poly Takahiro Horikawa
1  Michele Adduci
1  Ernest Galbrun

August, 2014

This is brief version of the change log. There is also a separate page with detailed review of OpenCV_3.0

• OpenCV 3.0 brings more GPU accelerated functions and makes it in much more convenient form than OpenCV 2.4.
  • The new technology is nick-named “Transparent API” and, in brief, is extension of classical OpenCV functions, such as cv::resize(), to use OpenCL underneath. See more details about it here: T-API.
  • Along with OpenCL code refactoring and Transparent API implementation OpenCL kernels were optimized for mainstream platforms, most notably for modern Intel chips (including Iris and Iris Pro) and AMD chips (such as Kaveri). More detailed results are to be provided later.

• On x86 and x64 platforms OpenCV binaries include and use a subset of Intel® Integrated Performance Primitives (Intel® IPP) by default. Intel Corporation granted OpenCV Foundation and all our users the right to use those functions free of charge for both non-commercial and commercial use.

• We now have a separate repository for community-contributed code http://github.com/opencv/opencv_contrib. It will help us to combine well-known maturity and stability of classical OpenCV functionality together with innovative algorithms and opens new opportunities for community to share computer vision code. For all the contributed code we provide the same QA infrastructure as for the main OpenCV repository. How to use it?
• Grab a copy of contribution repository http://github.com/opencv/opencv_contrib along with a copy of OpenCV 3.0 alpha or a fresh master snapshot.
• Pass OPENCV_EXTRA_MODULES_PATH=<path_to_contrib_directory>/modules to CMake.
• Documentation for the contributed modules is integrated into OpenCV doc tree: http://docs.opencv.org/master

• We completely revised our QA infrastructure (big thanks to Alexander Alekhin), which now covers not only the main repository, but also the contrib repository as well: http://pullrequest.opencv.org.

• OpenCV 3.0 and its contribution repository feature a lot of new functionality created by our GSoC students during the past 2 years, namely:
  • Text detection and recognition by Lluis Gomez and Stefano Fabri
  • HDR by Fedor Morozov
  • KAZE/A-KAZE by Eugene Khvedchenya, the algorithm author Pablo Alcantarilla and some improvements by F. Morozov.
  • Smart segmentation and edge-aware filters by Vitaly Lyudvichenko, Yuri Gitman, Alexander Shishkov and Alexander Mordvintsev
  • Car detection using Waldboost, ACF by Vlad Shakhuro and Nikita Manovich
  • TLD tracker and several common-use optimization algorithms by Alex Leontiev
  • Matlab bindings by Hilton Bristow, with support from Mathworks.
  • Greatly extended Python bindings, including Python 3 support, and several OpenCV+Python tutorials by Alexander Mordvintsev, Abid Rahman and others.
  • 3D Visualization using VTK by Ozan Tonkal and Anatoly Baksheev.
  • RGBD module by Vincent Rabaud
  • Line Segment Detector by Daniel Angelov
  • Many useful Computational Photography algorithms by Siddharth Kherada
  • Shape descriptors, matching and morphing shapes (shape module) by Juan Manuel Perez Rua and Ilya Lysenkov
  • Long-term tracking + saliency-based improvements (tracking module) by Antonella Cascitelli and Francesco Puja
  • Another good pose estimation algorithm and the tutorial on pose estimation by Edgar Riba and Alexander Shishkov
  • Line descriptors and matchers by Biagio Montesano and Manuele Tamburrano

• There are many other contributions, besides GSoC programs. Here is incomplete list (PLEASE, mail to admin at opencv.org if your name is missing here):
  • Myriads of improvements in various parts of the library by Steven Puttemans; thank you a lot, Steven!
  • Several NEON optimizations by Adrian Stratulat, Cody Rigney, Alexander Petrikov, Yury Gorbachev and others.
  • Fast foreach loop over cv::Mat by Kazuki Matsuda
  • Image alignment (ECC algorithm) by Georgios Evangelidis
  • GDAL image support by Marvin Smith
  • RGBD module by Vincent Rabaud
  • Fisheye camera model by Ilya Krylov
  • OSX framework build script by Eugene Khvedchenya
  • multiple FLANN improvements by Pierre-Emmanuel Viel
  • Improved WinRT support by Gregory Morse
  • Latent SVM Cascade by Evgeniy Kozhinov and NNSU team (awaiting integration)
  • Logistic regression by Rahul Kavi
  • Five-point pose estimation algorithm by Bo Li

Also, big thanks to all the Itseez guys who reviewed patches, watched bug reports and helped OpenCV in many other ways: Alexander Shishkov (who also maintains opencv.org site), Andrey Pavlenko, Alexander Alekhin, Alexander Smorkalov, Roman Donchenko, Kirill Kornyakov, Andrey Kamaev, Sergey Sivolgin, Vladimir Bystritsky, Sergey Nosov, Nikita Manovich, Evgeniy Talanin, Elena Gvozdeva, Alexander Karsakov, Konstantin Matskevich, Ilya Lavrenov, Anna Kogan, Ivan Korolev, Dinar Ahmatnurov, Andrey Senin, Vlad Vinogradov, Alexey Spizhevoy, Anatoly Baksheev, Marina Kolpakova, Daniil Osokin, Leonid Beynenson, Dmitry Retinsky, Maria Dimashova, Ilya Lysenkov, Andrey Morozov, Victor Eruhimov, Alexander Bovyrin, Sergey Molinov, Gary Bradski, Vincent Rabaud, Harris Gasparakis, Stefano Fabri and many others.

• Although OpenCV 3 can be viewed as refined OpenCV 2 and is similar to the latter, this new version is not completely backward-compatible with OpenCV 2. Here are some major changes:

  • Some functionality has been moved to opencv_contrib repository or just disappeared. After revision, we may put a part of disappeared functionality back to opencv (or opencv_contrib).

  • Note that among the moved functionality is Face Recognition (now a separate module opencv_contrib/face); SIFT, SURF, FREAK, Star feature detectors and descriptors (now a part of opencv_contrib/xfeatures2d); text detector (now a part of module opencv_contrib/text); matlab bindings (opencv_contrib/matlab); motion templates & simple flow (opencv_contrib/optflow).

  • In OpenCV 3 we write

    #include “opencv2/core.hpp”

    instead of

    #include “opencv2/core/core.hpp”

    The old method should also work.

  • ML module has been completely revised (and at the moment the functionality is not 100% match for OpenCV 2.4.x), you will need to update your code.

  • Similarly to ML, many high-level algorithms have been refactored to follow “open interface-hidden implementation” concept and this refactoring work will continue after alpha.

  • To lower the footprint, highgui module has been split into 3 parts: imgcodecs, videoio and highgui itself (thanks to Vladimir). You may need to update your code.

  • After massive functionality migration to opencv_contrib and other major changes some Python bindings may be missing. We will fix it by OpenCV 3.0 beta.

April, 2014

• Several improvements in OpenCL optimizations (ocl::sum, ocl::countNonZero, ocl::minMax, bitwise operationss, Haar face detector, etc)

• Multiple fixes in Naitve Camera (NativeCameraView, cv::VideoCapture);
• Improved CUDA support for all CUDA-enabled SoCs.

• New VTK-based 3D visualization module viz stabilized and back-ported to 2.4 branch. The module provides a very convenient way to display and position clouds, meshes, cameras and trajectories, and simple widgets (cube, line, circle, etc.). Full demo video can be found at Itseez Youtube channel

• Numerous bugfixes in code and docs from community

• 156 pull requests have been merged since version#20

• 55 reported bugs have been closed since version#20

$ git checkout 2.4.9
$ git shortlog --no-merges -n  -s 2.4 --not 2.4.8
36  Alexander Smorkalov
35  Ilya Lavrenov
33  Vladislav Vinogradov
23  Anatoly Baksheev
16  Andrey Pavlenko
9  Maks Naumov
8  Roman Donchenko
6  Pierre-Emmanuel Viel
6  yash
5  Daniil Osokin
4  Alexander Karsakov
4  Alexander Shishkov
4  Matti Picus
4  Nghia Ho
4  Stuart Cunningham
4  Vadim Pisarevsky
3  Alexander Alekhin
3  Kang Liu
3  Seunghoon Park
3  Vincent Rabaud
2  Firat Kalaycilar
2  Martin Jul
2  RJ2
2  berak
1  Alessandro Trebbi
1  Cody Rigney
1  ComFreek
1  Dave Hughes
1  David Rolland
1  Drew Jetter
1  Evgeniy
1  Ian Taylor
1  JinoBetti
1  Kazuki Matsuda
1  Kirill Kornyakov
1  Konstantin Matskevich
1  Linquize
1  Marijan Vukcevich
1  Martin Chodakowski
1  Robbert Klarenbeek
1  Vladimir Kolesnikov
1  Zhigang Gong
1  ahb
1  kuroda sho
1  kurodash

December, 2013

• User provided OpenCL context can be used by OpenCV ( ocl::initializeContext )
• A separate OpenCL command queue is created for every CPU thread (allows concurrent kernels execution)
• Some new OpenCL optimizations and bug-fixes

• NVidia CUDA support on CUDA capable SoCs;
• Android 4.4 support, including native camera;
• Java wrappers for GPU-detection functions from core module were added;
• New sample with CUDA on Android was added;
• OpenCV Manager and apps hanging were fixed on Samsung devices with Android 4.3 (#3368, #3372, #3403, #3414, #3436)

• Static linkage support for native C++ libraries;

• 139 pull requests have been merged since version:2.4.7!

• 32 reported bugs have been closed since version:2.4.7

$ git checkout 2.4.8
$ git shortlog --no-merges -n  -s 2.4 --not 2.4.7
42  Alexander Smorkalov
35  Ilya Lavrenov
15  Roman Donchenko
15  Vladislav Vinogradov
14  Alexander Alekhin
11  krodyush
10  Andrey Pavlenko
9  Vladimir Bystricky
8  StevenPuttemans
7  Baichuan Su
7  Konstantin Matskevich
7  perping
6  Adrien BAK
6  Mimmmo Cosenza
6  Vincent Rabaud
4  Peter Andreas Entschev
4  Philippe FOUBERT
3  Anatoly Baksheev
3  berak
2  Alexander Karsakov
2  Bo Hu
2  GregoryMorse
2  Piotr Miecielica
2  moodoki
1  Alex Willisson
1  Alexander Shishkov
1  Alfonso (the fonz) de la Osa
1  Andrey Kamaev
1  Eric Sommerlade
1  Josep Bosch
1  Kiran Pradeep
1  Matthias Bady
1  Peng Xiao
1  Pierre-Emmanuel Viel
1  Séverin Lemaignan
1  Zhigang Gong
1  dpen2000
1  huangs
1  tim36272

November, 2013

• Now ‘ocl’ module can be built without installing OpenCL SDK (Khronos headers in OpenCV tree);
• Dynamic dependency on OpenCL runtime (allows run-time branching between OCL and non-OCL implementation);
• Changing default OpenCL device via OPENCV_OPENCL_DEVICE environment variable (without app re-build);
• Refactoring/extending/bug-fixing of existing OpenCL optimizations, updated documentation;
• New OpenCL optimizations of SVM, MOG/MOG2, KalmanFilter and more;

• New optimization for histograms, TV-L1 optical flow and resize;
• Updated multi gpu sample for stereo matching;
• Fixed BGR<→YUV color conversion and bitwize operations;
• Fixed several build issues;

• Android NDK-r9 (x86, x86_64) support;
• Android 4.3 support: hardware detector (Bugs #3124, #3265, #3270) and native camera (Bug #3185);
• MediaRecorder hint enabled for all Android devices with API level 14 and above;
• Fixed JavaCameraView slowdown (Bugs #3033, #3238);

• Fixed MS Certification test issues for all algorithmical modules and highgui, except OpenEXR and Media Foundation code for camera;
• Implemented XAML-based sample for video processing using OpenCV;
• Fixed issue in Media Foundation back-end for VideoCapture (#3189);

• 382 pull requests have been merged since version:2.4.6!

• 54 reported bugs have been fixed since version:2.4.6 (issue tracker query)

$ git checkout 2.4.7
$ git shortlog --no-merges -n  -s 2.4 --not 2.4.6
111  Ilya Lavrenov
83  Alexander Alekhin
79  Roman Donchenko
41  Alexander Smorkalov
36  peng xiao
34  Jin Ma
32  Vladislav Vinogradov
27  StevenPuttemans
19  yao
17  Andrey Pavlenko
13  kdrobnyh
12  ilya-lavrenov
9  Alexander Shishkov
8  Vadim Pisarevsky
7  Greg Hale
7  Jan Starzynski
6  Bahram Dahi
5  Dmitry Retinskiy
5  Nghia Ho
5  konstantin
5  perping
3  Alexander Mordvintsev
3  Frederic Devernay
3  Kirill Kornyakov
3  Peng Xiao
3  Sebastian KrA¤mer
3  WonderRico
3  kamjagin
2  Alexander Pacha
2  Daniil Osokin
2  Gabe Schwartz
2  Hanusz Leszek
2  Nikita Manovich
2  Philippe FOUBERT
2  Zac Stewart
1  Alexander Karsakov
1  Andrew Senin
1  Baris Evrim Demiroz
1  Csaba Kertesz
1  George Andrew Brindeiro
1  Han Qiang
1  Harris Gasparakis
1  Heinz Hofbauer
1  Kevin
1  MarkBelmont
1  Michael Hanselmann
1  Miroslav Kobetski
1  Samuel Wejeus
1  Sebastian Kramer
1  abidrahmank
1  kocheganovvm
1  pengxiao

July, 2013

• Windows RT: added video file i/o and sample application using camera, enabled parallelization with TBB or MS Concurrency

• CUDA 5.5: added support for desktop and ARM

• added Qt 5 support

• Binary compatiblility with both OpenCL 1.1/1.2 platforms. Now the binaries compiled with any of AMD/Intel/Nvidia’s SDK can run on all other platforms.
• New functions ported, CLAHE, GoodFeaturesToTrack, TVL1 optical flow and more.
• Performance optimizations, HOG and more.
• More kernel binary cache options though setBinaryDiskCache interface.
• OpenCL binaries are now included into the superpack for Windows (for VS2010 and VS2012 only)

• switched all the remaining parallel loops from TBB-only tbb::parallel_for() to universal cv::parallel_for_() with many possible backends (MS Concurrency, Apple’s GDC, OpenMP, Intel TBB etc.)

• iOS build scripts (together with Android ones) moved to opencv/platforms directory
• fixed bug with incorrect saved video from camera through CvVideoCamera
• added rotateVideo flag to the CvVideoCamera class to control camera preview rotation on device rotation
• added functions to convert between UIImage and cv::Mat (just include opencv2/highgui/ios.h)

• numerous bug-fixes across all the library

• see also Android_Release_Notes

~/Work/OpenCV/opencv> git checkout 2.4.6
~/Work/OpenCV/opencv> git shortlog --no-merges -n -s 2.4 --not 2.4.5
55  Peng Xiao
50  yao
41  Roman Donchenko
40  Alexander Smorkalov
21  Vladislav Vinogradov
10  Kirill Kornyakov
9  Andrey Pavlenko
8  Alexander Shishkov
8  Andrey Kamaev
5  alex77git
5  Dominik Rose
4  Ivan Korolev
3  Sergei Nosov
3  abidrahmank
3  poiuytrez
2  Leszek Swirski
1  Bo Li
1  Jan Machacek
1  ShengyinWu
1  Siva Prasad Varma
1  Gurpinder Singh Sandhu
1  Andrew Senin
1  Peter Minin
1  caorong
1  dave
1  ograycode
1  Dustin Spicuzza
1  Luis Díaz Más
1  Egbert van der Wal

April, 2013

• Experimental WinRT support (build for WindowsRT guide)

• the new video super-resolution module has been added that implements the following papers:

  • S. Farsiu, D. Robinson, M. Elad, P. Milanfar. Fast and robust Super-Resolution. Proc 2003 IEEE Int Conf on Image Process, pp. 291–294, 2003.
  • D. Mitzel, T. Pock, T. Schoenemann, D. Cremers. Video super resolution using duality based TV-L1 optical flow. DAGM, 2009.

• CLAHE (adaptive histogram equalization) algorithm has been implemented, both CPU and GPU-accelerated versions (in imgproc and gpu modules, respectively)

• there are further improvements and extensions in ocl module:\
  • 2 stereo correspondence algorithms: stereobm (block matching) and stereobp (belief propagation) have been added\
  • many bugs fixed, including some crashes on Intel HD4000

• The tutorial on displaying cv::Mat inside Visual Studio 2012 debugger has been contributed by Wolf Kienzle from Microsoft Research. See http://opencv.org/image-debugger-plug-in-for-visual-studio.html

• 78 pull requests have been merged. Big thanks to everybody who contributed!

• At least 25 bugs have been fixed since 2.4.4 (see http://code.opencv.org/projects/opencv/issues select closed issues with target version set to “2.4.5”).

March, 2013

• This is the biggest news in 2.4.4 – we’ve got full-featured OpenCV Java bindings on a desktop, not only Android! In fact you can use any JVM language, including functional Java or handy Groovy. Big thanks to Eric Christiansen for the contribution! Check the tutorial for details and code samples.

• Android application framework, samples, tutorials, OpenCV Manager are updated, see Android_Release_Notes for details.

• Numerous improvements in gpu module and the following new functionality & optimizations:
  • Optimizations for the NVIDIA Kepler architecture
  • NVIDIA CARMA platform support
  • HoughLinesP for line segments detection
  • Lab/Luv <→ RGB conversions

• Let us be more verbose here. The openCL-based hardware acceleration (ocl) module is now mature, and, with numerous bug fixes, it is largely bug-free. Correct operation has been verified on all tested platforms, including discrete GPUs (tested on NVIDIA and AMD boards), as well as integrated GPUs (AMD APUs as well as Intel Ivy Bridge iGPUs). On the host side, there has been exhaustive testing on 32/64 bit, Windows/Linux systems, making the ocl module a very serious and robust cross-platform GPU hardware acceleration solution. While we currently do not test on other devices that implement OpenCL (e.g. FPGA, ARM or other processors), it is expected that the ocl module will work well on such devices as well (provided the minimum requirements explained in the user guide are met).
  Here are specific highlights of the 2.4.4 release:
  • The ocl::Mat can now use “special” memory (e.g. pinned memory, host-local or device-local).
  • The ocl module can detect if the underlying hardware supports “integrated memory,” and if so use “device-local” memory by default for all operations.
  • New arithmetic operations for ocl::Mat, providing significant ease of use for simple numerical manipulations.
  • Interop with OpenCL enables very easy integration of OpenCV in existing OpenCL applications, and vice versa.
  • New algorithms include Hough circles, more color conversions (including YUV, YCrCb), and Hu Moments.
  • Numerous bug fixes, and optimizations, including in: blendLinear, square samples, erode/dilate, Canny, convolution fixes with AMD FFT library, mean shift filtering, Stereo BM.
  • Platform specific bug fixes: PyrLK, bruteForceMatcher, faceDetect now works also on Intel Ivy Bridge chips (as well as on AMD APUs/GPUs and NVIDIA GPUs); erode/dilate also works on NVIDIA GPUs (as well as AMD APUs/GPUs and Intel iGPUs).

• Many people contributed their code in the form of pull requests. Here are some of the most interesting contributions, that were included into 2.4 branch:
  • “>100”:http://code.opencv.org/projects/opencv/versions/11 reported problems have been resolved since 2.4.3
  • Oscar Deniz submitted smile detector and sample.
  • Alexander Smorkalov created a tutorial on cross-compilation of OpenCV for Linux on ARM platforms.

November, 2012

• Added universal parallel_for implementation using various backends: TBB (cross-platform: http://threadingbuildingblocks.org), OpenMP (cross-platform: http://en.wikipedia.org/wiki/OpenMP), Grand Central Dispatch (iOS/MacOSX: http://en.wikipedia.org/wiki/Grand_Central_Dispatch), Concurrency (Visual Studio 2010 or later: http://msdn.microsoft.com/en-us/library/dd492418.aspx), C= (http://www.hoopoesnest.com/cstripes/cstripes-details.htm). Many exiting parallel OpenCV algorithms have been converted to the new primitive. Therefore, you can enjoy performance improvements even without having to install TBB and ship it with OpenCV-based applications.

• Improved OpenCV Manager, new Java samples framework, better camera support on Android, see Android_Release_Notes for details.

• opencv2.framework is now iOS6- and iPhone5- (armv7s) compatible. Thanks to the new threading mechanism several important OpenCV algorithms (e.g. face detection, bilateral filter, etc.) now run faster on A5 or newer dual-core chips. We also fixed bug in the framework build script and now the framework is built with “-O3” optimization instead of “-O0” in OpenCV 2.4.2. Finally, our GSoC students, Eduard Feicho and Charu Hans, have written detailed tutorials on how to add OpenCV to your iOS app, please, check http://docs.opencv.org/doc/tutorials/ios/table_of_content_ios/table_of_content_ios.html.

• Another our GSoC student, Alexander Mordvintsev, added several new exciting Python samples, including ASIFT, hand-written digit recognition, motion debluring and even the use of Amazon PiCloud. Check https://github.com/opencv/opencv/tree/master/samples/python2

• Yet another GSoC student Attila Novak has trained 2 new cascades, for silverware and profile faces. Check https://github.com/opencv/opencv/tree/master/data/lbpcascades

• Another result from GSoC (that was a good year!): Victor Passichenko implemented non-local means denoising algorithm. It’s not realtime, but quite decent. Please, check http://docs.opencv.org/trunk/modules/photo/doc/denoising.html

• Yet another result from GSoC (that was a good year indeed!): Yuri Zemlyansky implemented “simple flow” optical flow algorithm; check https://github.com/opencv/opencv/tree/master/samples/cpp/simpleflow_demo.cpp.

• Numerous improvements and new functionality in GPU module:\
  • device layer opened for users; now users write CUDA device code using OpenCV.\
  • LBP cascade support in cascade classifier\
  • fast non local means image denoising\
  • faster integral image calculation on Kepler\
  • Hough circles, Hough lines and generalized Hough transform implementation\
  • bilateral filter\
  • generalized Flood Fill connected component labeling\
  • background/foreground segmentation algorithms: Mixture of Gaussian, ViBe, GMG (A. Godbehere, A. Matsukawa, K. Goldberg) .\
  • added confidence calculation into HOG

• Technology-preview version of ocl – OpenCL-accelerated computer vision algorithms, contributed by the Chinese Academy of Science. It includes:\
  • arithmetical operations\
  • filtering\
  • geometrical image transformations (resize, remap etc.)\
  • cascade classifier (i.e. face detector)\
  • optical flow
    currently, it only runs on GPUs.

http://code.opencv.org/attachments/download/1147

• ~130 reported problems have been resolved since 2.4.2

• OpenCV has never been that social. We are at github now: http://github.com/opencv/opencv. Grab the latest versions from there, submit pull requests.

• Since 2.4.3rc we fixed several build problems (OpenCV-based applications on Xcode 4.5 & iOS6, OpenCV+TBB on Windows etc.) and closed a few issues, reported at code.opencv.org.

July, 2012

• Android package introduces a new service-based distribution model (see Android_Release_Notes for details).

• New keypoint descriptor FREAK has been contributed by EPFL group: Kirell Benzi, Raphael Ortiz, Alexandre Alahi and Pierre Vandergheynst. It’s claimed to be superior to ORB and SURF descriptors, yet it’s very fast (comparable to ORB). Please, see source://trunk/opencv/samples/cpp/freak_demo.cpp.

• Improved face recognizer and excellent tutorial on using it has been added by Philipp Wagner. Check the face recognition tutorial.

• opencv2.framework for iOS has been created. You can either download the binary from SourceForge or build it yourself using the simple guide: http://docs.opencv.org/doc/tutorials/introduction/ios_install/ios_install.html\#ios-installation. Also, you may be interested to look at some OpenCV on iOS samples, created by our GSoC 2012 students Eduard and Charu: gsoc2012:source:/ios/trunk and read the slides of the tutorial: gsoc2012:source:/ios/trunk/doc/CVPR2012_OpenCV4IOS_Tutorial.pdf

• Another 50 bugs have been fixed since 2.4.1 release.

• It’s not about the code, but now we have the brand-new user site, http://opencv.org and the new stack overflow-like site with answers to the most popular questions http://answers.opencv.org

• GPU module:\
  • reimplemented CUDA accelerated gpu::PyrLKOpticalFlow for dense and sparse cases. New implementation up 1.5 – 2 times faster then previous GPU optimized. Updated optical flow samples\
  • implemented resize with area interpolation. CUDA optimized version for integer matrix types up 30 – 35 faster then not optimized OpenCV implementation and up 7 in worst case of 3 channel floating point matrix.

June, 2012

• The GPU module now supports CUDA 4.1 and CUDA 4.2 and can be compiled with CUDA 5.0 preview.

Added API for storing OpenCV data structures in text string and reading them back:\

//==== storing data ====
FileStorage fs(".xml", FileStorage::WRITE + FileStorage::MEMORY);
fs << "date" << date_string << "mymatrix" << mymatrix;
string buf = fs.releaseAndGetString();

//== reading it back ==

FileStorage fs(buf, FileStorage::READ + FileStorage::MEMORY);

fs[“date”] >> date_string;

fs[“mymatrix”] >> mymatrix;

• cv::calcOpticalFlowPyrLK now supports precomputed pyramids as input.

• Function signatures in documentation are made consistent with source code.

• Restored python wrappers for SURF and MSER.

• 45 more bugs in our bug tracker have been fixed

May, 2012

The major changes since 2.4 beta

• OpenCV now provides pretty complete build information via cv::getBuildInformation().

• reading/writing video via ffmpeg finally works and is now available on MacOS X too.
  note 1: we now demand reasonably fresh versions of ffmpeg/libav with libswscale included.
  note 2: if possible, try to avoid reading or writing more than one video simultaneously (even within a single thread) with ffmpeg 0.7.x or earlier, since they seem to use some global structures that are destroyed by the codecs executed synchronously. Either build and install a newer ffmpeg (0.10.x is recommended), or serialize your video i/o, or use parallel processes instead of threads.

• MOG2 background subtraction by Zoran Zivkovic was optimized using TBB.

• The reference manual has been updated to match OpenCV 2.4.0.

• More than 20 bugs have been closed in our bug tracker. (http://code.opencv.org/projects/opencv/roadmap).

• Asus Xtion is now properly supported for HighGUI. For now, you have to manually specify this device by using VideoCapture(CV_CAP_OPENNI_ASUS) instead of VideoCapture(CV_CAP_OPENNI).

April, 2012

As usual, we created 2.4 branch in our repository (http://code.opencv.org/svn/opencv/branches/2.4), where we will further stabilize the code. You can check this branch for changes periodically, before as well as after 2.4 release.

• At the age of 12, OpenCV got its own home! http://code.opencv.org is now the primary site for OpenCV development and http://opencv.org will be the official OpenCV user site.

• Some of the old functionality from the modules imgproc, video, calib3d, features2d, objdetect has been moved to legacy.

• CMake scripts have been substantially modified. Now it’s very easy to add new modules – just put the directory with include, src, doc and test sub-directories to the modules directory, create a very simple CMakeLists.txt and your module will be built as a part of OpenCV. Also, it’s possible to exclude certain modules from build (the CMake variables “BUILD_opencv_<modulename>” control that).

• A new essential class cv::Algorithm has been introduced. It’s planned to be the fundamental part of all of the “non-trivial” OpenCV functionality. All Algorithm-based classes have the following features:

  • “virtual constructor”, i.e. an algorithm instance can be created by name;
  • there is a list of available algorithms;
  • one can retrieve and set algorithm parameters by name;
  • one can save algorithm parameters to XML/YAML file and then load them.

• A new ffmpeg wrapper has been created that features multi-threaded decoding, more robust video positioning etc. It’s used with ffmpeg starting with 0.7.x versions.

• features2d API has been cleaned up. There are no more numerous classes with duplicated functionality. The base classes FeatureDetector and DescriptorExtractor are now derivatives of cv::Algorithm. There is also the base Feature2D, using which you can detect keypoints and compute the descriptors in a single call. This is also more efficient.

• SIFT and SURF have been moved to a separate module named nonfree to indicate possible legal issues of using those algorithms in user applications. Also, SIFT performance has been substantially improved (by factor of 3-4x).

• The current state-of-art textureless detection algorithm, Line-Mod by S. Hinterstoisser, has been contributed by Patrick Mihelich. See objdetect/objdetect.hpp, class Detector.

• 3 face recognition algorithms have been contributed by Philipp Wagner. Please, check opencv/contrib/contrib.hpp, FaceRecognizer class, and opencv/samples/cpp/facerec_demo.cpp.

• 2 algorithms for solving PnP problem have been added. Please, check flags parameter in solvePnP and solvePnPRansac functions.

• Enhanced LogPolar implementation (that uses Blind-Spot model) has been contributed by Fabio Solari and Manuela Chessa, see opencv/contrib/contrib.hpp, LogPolar_* classes and opencv/samples/cpp/logpolar_bsm.cpp sample.

• A stub module photo has been created to support a quickly growing “computational photography” area. Currently, it only contains inpainting algorithm, moved from imgproc, but it’s planned to add much more functionality.

• Another module videostab (beta version) has been added that solves a specific yet very important task of video stabilization. The module is under active development. Please, check opencv/samples/cpp/videostab.cpp sample.

• findContours can now find contours on a 32-bit integer image of labels (not only on a black-and-white 8-bit image). This is a step towards more convenient connected component analysis.

• Canny edge detector can now be run on color images, which results in better edge maps

• Python bindings can now be used within python threads, so one can write multi-threaded computer vision applications in Python.

• Different Optical Flow algorithms have been added:

  • Brox (contributed by NVidia)
  • PyrLK – both Dense and Sparse variations
  • Farneback

• New feature detectors and descriptors:

  • GoodFeaturesToTrack
  • FAST/ORB which is patent free replacement of SURF.

• Overall GPU module enhancements:

  • The module now requires CUDA 4.1 or later;
  • Improved similarity of results between CPU and GPU;
  • Added border extrapolation support for many functions;
  • Improved performance.

• pyrUp/pyrDown implementations.

• Matrix multiplication on GPU (wrapper for the CUBLAS library). This is optional, user need to compile OpenCV with CUBLAS support.

• OpenGL back-end has been implemented for highgui module, that allows to display GpuMat directly without downloading them to CPU.

See the [Android_Release_Notes].

• A few OpenCV functions, like color conversion, morphology, data type conversions, brute-force feature matcher have been optimized using TBB and/or SSE intrinisics.

• Along with regression tests, now many OpenCV functions have got performance tests. Now for most modules one can build opencv_perf_<modulename> executables that run various functions from the particular module and produce a XML file. Note that if you want to run those tests, as well as the normal regression tests, you will need to get (a rather big) http://code.opencv.org/svn/opencv/trunk/opencv_extra directory and set environment variable OPENCV_TEST_DATA_PATH to <your_copy_of_opencv_extra>/testdata.

• In this version we fixed literally hundreds of bugs. Please, check http://code.opencv.org/projects/opencv/versions/1 for a list of fixed issues.

• When OpenCV is built statically, dynamically created classes (via Algorithm::create) can fail because linker excludes the “unused” object files. To avoid this problem, create classes explicitly, e.g

  Ptr<DescriptorExtractor> d = new BriefDescriptorExtractor;

August, 2011

OpenCV Java bindings for Android platform are released in ‘’Beta 2’’ quality. A lot of work is done to make them more stable and easier to use. Currently Java API has about 700 different OpenCV functions and covers 8 OpenCV modules including full port of features2d.

• Retina module has been contributed by Alexandre Benoit (in opencv_contrib module). See the new retina sample and https://sites.google.com/site/benoitalexandrevision/.

• Support for Ximea cameras (http://www.ximea.com/) in highgui has been contributed by Ximea developers.

• Planar subdivisions construction (Delaunay triangulation and Voronoi tessellation) have been ported to C++. See the new delaunay2.cpp sample.

• Several new Python samples have been added.

• FLANN in OpenCV has been upgraded to v1.6. Also, added Python bindings for FLANN.

• We now support the latest FFMPEG (0.8.x) that features multi-threaded decoding. Reading videos in OpenCV has never been that fast.

• Quite a few new tutorials have been added. Check http://docs.opencv.org/trunk for the up-to-date documentation.

• Performance of the sparse Lucas-Kanade optical flow has been greatly improved. On 4-core machine it is now 9x faster than the previous version.

• Over 100 issues have been resolved since 2.3 release. Most of the issues (closed and still open) are listed at http://code.opencv.org/projects/opencv/issues?set_filter=1.

• TBB debug binaries are missed in the Windows installer. Here is a workaround:
  • Download tbb30_20110427oss_win.zip from the TBB website.
  • Unzip and copy the tbb*_debug.dll files from bin// to the corresponding folder in the installed OpenCV location in /build/common/tbb//

July, 2011

• A few more bugs reported in the OpenCV bug tracker have been fixed.

• Documentation has been improved a lot! The new reference manual combines information for C++ and C interfaces, the OpenCV 1.x-style Python bindings and the new C++-style Python bindings. It has also been thoroughly checked for grammar, style and integrity.

Besides, there are new and updated tutorials.

The up-to-date online documentation is available at http://docs.opencv.org.

• The new binary package includes various pre-compiled libs:
  https://sourceforge.net/projects/opencvlibrary/files/opencv-win/2.3/

Unfortunately, it’s not a full-scale installation package, but simply a self-extracting archive with a readme.txt supplied.
The installation package is probably to come in the next version.

• VS2005 should build OpenCV 2.3 out of the box, including DirectShow support.

• ffmpeg bindings are now available for all Windows users via compiler- and configuration- and
  version-independent opencv_ffmpeg.dll (for 32-bit compilers) and opencv_ffmpeg_64.dll (for 64-bit compilers).

June, 2011

• Buildbot-based Continuous Integration system is now continuously testing OpenCV snapshots. The current status is available at http://pullrequest.opencv.org/

• OpenCV switched to Google Test (http://code.google.com/p/googletest/) engine for regression and correctness tests. Each module now has “test” sub-directory which includes the corresponding tests.

• Many functions and methods now take InputArray/OutputArray instead of cv::Mat references. It retains compatibility with the existing code and yet brings more natural support for STL vectors and potentially other “foreign” data structures to OpenCV. See http://docs.opencv.org/modules/core/doc/intro.html#inputarray-and-outputarray for details.

• core

  • LAPACK is not used by OpenCV anymore. The change decreased the library footprint and the compile time. We now use our own implementation of Jacobi SVD. SVD performance on small matrices (2×2 to 10×10) has been considerably improved; on larger matrices it is still pretty good. SVD accuracy on poorly-conditioned matrices has also been polished.
  • Arithmetic operations now support mixed-type operands and arbitrary number of channels.

• features2d

  • Completely new patent-free BRIEF and ORB feature descriptors have been added.
  • Very fast LSH matcher for BRIEF and ORB descriptors will be added in 2.3.1.

• calib3d

  • A new calibration pattern, circles grid, has been added. See findCirclesGrid() function and the updated calibration.cpp sample. With the new pattern calibration accuracy is usually much higher.

• highgui

  • Windows videoInput is now a part of highgui. If there are any problems with compiling highgui, set WITH_VIDEOINPUT=OFF in CMake.

• stitching

  • opencv_stitching is a beta version of new application that makes a panorama out of a set of photos taken from the same point.

• python
  • Now there are 2 extension modules: cv and cv2. cv2 includes wrappers for OpenCV 2.x functionality. opencv/samples/python2 contain a few samples demonstrating cv2 in use.

• contrib
  • A new experimental variational stereo correspondence algorithm StereoVar has been added.

• gpu
  • the module now requires CUDA 4.0 or later; Many improvements and bug fixes have been made.

• With support from NVIDIA, OpenCV Android port (which is actually not a separate branch of OpenCV, it’s the same code tree with additional build scripts) has been greatly improved, a few demos developed. Camera support has been added as well. See [Android_Release_Notes#231-beta1] for details.

• OpenCV documentation is now written in ReStructured Text and built using Sphinx (http://sphinx.pocoo.org).

• It’s not a single reference manual now, it’s 4 reference manuals (OpenCV 2.x C++ API, OpenCV 2.x Python API, OpenCV 1.x C API, OpenCV 1.x Python API), the emerging user guide and a set of tutorials for beginners.

• Style and grammar of the main reference manual (OpenCV 2.x C++ API) have been thoroughly checked and fixed.

• Online up-to-date version of the manual is available at http://docs.opencv.org

• Several samples using the new Python bindings (cv2 module) have been added: http://code.opencv.org/svn/opencv/branches/2.3/opencv/samples/python2

• Several ML algorithms have been threaded using TBB.

• Over 250 issues have been resolved. Most of the issues (closed and still open) are listed at http://code.opencv.org/projects/opencv/issues?set_filter=1.

• Documentation (especially on the new Python bindings) is still being updated. Watch http://docs.opencv.org for updates.

• Android port does not provide Java interface for OpenCV. It is going to be added to 2.3 branch in a few weeks.

December, 2010

• The library has been reorganized. Instead of cxcore, cv, cvaux, highgui and ml we now have several smaller modules:
  • opencv_core – core functionality (basic structures, arithmetics and linear algebra, dft, XML and YAML I/O …).
  • opencv_imgproc – image processing (filter, GaussianBlur, erode, dilate, resize, remap, cvtColor, calcHist etc.)
  • opencv_highgui – GUI and image & video I/O
  • opencv_ml – statistical machine learning models (SVM, Decision Trees, Boosting etc.)
  • opencv_features2d – 2D feature detectors and descriptors (SURF, FAST etc., including the new feature detectors-descriptor-matcher framework)
  • opencv_video – motion analysis and object tracking (optical flow, motion templates, background subtraction)
  • opencv_objdetect – object detection in images (Haar & LBP face detectors, HOG people detector etc.)
  • opencv_calib3d – camera calibration, stereo correspondence and elements of 3D data processing
  • opencv_flann – the Fast Library for Approximate Nearest Neighbors (FLANN 1.5) and the OpenCV wrappers
  • opencv_contrib – contributed code that is not mature enough
  • opencv_legacy – obsolete code, preserved for backward compatibility
  • opencv_gpu – acceleration of some OpenCV functionality using CUDA (relatively unstable, yet very actively developed part of OpenCV)

If you detected OpenCV and configured your make scripts using CMake or pkg-config tool, your code will likely build fine without any changes. Otherwise, you will need to modify linker parameters (change the library names) and update the include paths.

It is still possible to use #include <cv.h> etc. but the recommended notation is:

```.cpp
#include "opencv2/imgproc/imgproc.hpp"
```

Please, check the new C and C++ samples (http://code.opencv.org/svn/opencv/trunk/opencv/samples), which now include the new-style headers.

• The new-style wrappers now cover much more of OpenCV 2.x API. The documentation and samples are to be added later. You will need numpy in order to use the extra functionality.
  SWIG-based Python wrappers are not included anymore.

• OpenCV can now be built for Android (GSoC 2010 project), thanks to Ethan Rublee; and there are some samples too. Please, check [OpenCV4Android]

• The completely new opencv_gpu acceleration module has been created with support by NVIDIA. See below for details.

• core

  • The new cv::Matx<T, m, n> type for fixed-type fixed-size matrices has been added. Vec<T, n> is now derived from Matx<T, n, 1>. The class can be used for very small matrices, where cv::Mat use implies too much overhead. The operators to convert Matx to Mat and backwards are available.
  • cv::Mat and cv::MatND are made the same type: typedef cv::Mat cv::MatND.
    Note that many functions do not check the matrix dimensionality yet, so be careful when processing 3-, 4- … dimensional matrices using OpenCV.
  • Experimental support for Eigen 2.x/3.x is added (WITH_EIGEN2 option in CMake). Again, there are convertors from Eigen2 matrices to cv::Mat and backwards. See modules/core/include/opencv2/core/eigen.hpp.
  • cv::Mat can now be print with “<<” operator. See opencv/samples/cpp/cout_mat.cpp.
  • cv::exp and cv::log are now much faster thanks to SSE2 optimization.

• imgproc

  • color conversion functions have been rewritten;
  • RGB→Lab & RGB→Luv performance has been noticeably improved. Now the functions assume sRGB input color space (e.g. gamma=2.2). If you want the original linear RGB→L** conversion (i.e. with gamma=1), use CV_LBGR2LAB etc.
  • VNG algorithm for Bayer→RGB conversion has been added. It’s much slower than the simple interpolation algorithm, but returns significantly more detailed images
  • The new flavors of RGB→HSV/HLS conversion functions have been added for 8-bit images. They use the whole 0..255 range for the H channel instead of 0..179. The conversion codes are CV_RGB2HSV_FULL etc.
  • special variant of initUndistortRectifyMap for wide-angle cameras has been added: initWideAngleProjMap()

• features2d

  • the unified framework for keypoint extraction, computing the descriptors and matching them has been introduced. The previously available and some new detectors and descriptors, like SURF, FAST, StarDetector etc. have been wrapped to be used through the framework. The key advantage of the new framework (besides the uniform API for different detectors and descriptors) is that it also provides high-level tools for image matching and textured object detection. Please, see documentation http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_feature_detectors.html\ and the C++ samples:
    • descriptor_extractor_matcher.cpp – finding object in a scene using keypoints and their descriptors.
    • generic_descriptor_matcher.cpp – variation of the above sample where the descriptors do not have to be computed explicitly.
    • bagofwords_classification.cpp – example of extending the framework and using it to process data from the VOC databases: http://pascallin.ecs.soton.ac.uk/challenges/VOC/
  • the newest super-fast keypoint descriptor BRIEF by Michael Calonder has been integrated by Ethan Rublee. See the sample opencv/samples/cpp/video_homography.cpp
  • SURF keypoint detector has been parallelized using TBB (the patch is by imahon and yvo2m)

• objdetect

  • LatentSVM object detector, implementing P. Felzenszwalb algorithm, has been contributed by Nizhniy Novgorod State University (NNSU) team. See opencv/samples/c/latentsvmdetect.cpp

• calib3d

  • The new rational distortion model has been introduced. It is useful for calibration of cameras with wide-angle lenses. Because of the increased number of parameters to optimize you need to supply more data to robustly estimate all of them. Or, simply initialize the distortion vectors with zeros and pass CV_CALIB_RATIONAL_MODEL to enable the new model CV_CALIB_FIX_K3 + CV_CALIB_FIX_K4 + CV_CALIB_FIX_K5 or other such combinations to selectively enable or disable certain coefficients.

  • rectification of trinocular camera setup, where all 3 heads are on the same line, is added. see samples/cpp/3calibration.cpp

• ml

  • Gradient boosting trees model has been contributed by NNSU team.

• highgui

  • Experimental Qt backend for OpenCV has been added as a result of GSoC 2010 project, completed by Yannick Verdie. The backend has a few extra features, not present in the other backends, like text rendering using TTF fonts, separate “control panel” with sliders, push-buttons, checkboxes and radio buttons, interactive zooming, panning of the images displayed in highgui windows, “save as” etc. Please, check the youtube videos where Yannick demonstrates the new features: http://www.youtube.com/user/MrFrenchCookie#p/u
  • The new API is described here: http://docs.opencv.org/modules/highgui/doc/qt_new_functions.html To make use of the new API, you need to have Qt SDK (or libqt4 with development packages) installed on your machine, and build OpenCV with Qt support (pass -DWITH_QT=ON to CMake; watch the output, make sure Qt is used as GUI backend)
  • 16-bit and LZW-compressed TIFFs are now supported.
  • You can now set the mode for IEEE1394 cameras on Linux.

• contrib

  • Chamfer matching algorithm has been contributed by Marius Muja, Antonella Cascitelli, Marco Di Stefano and Stefano Fabri. See samples/cpp/chamfer.cpp

• gpu This is completely new part of OpenCV, created with the support by NVIDIA. Note that the package is at alpha, probably early beta state, so use it with care and check OpenCV SVN for updates.

In order to use it, you need to have the latest NVidia CUDA SDK installed, and build OpenCV with CUDA support (-DWITH_CUDA=ON CMake flag).

All the functionality is put to cv::gpu namespace. The full list of functions and classes can be found at opencv/modules/gpu/include/opencv2/gpu/gpu.hpp, and here are some major components of the API:

• image arithmetics, filtering operations, morphology, geometrical transformations, histograms

• 3 stereo correspondence algorithms: Block Matching, Belief Propagation and Constant-Space Belief Propagation.

• HOG-based object detector. It runs more than order of magnitude faster than the CPU version! See opencv/samples/gpu

• python bindings. A lot more of OpenCV 2.x functionality is now covered by Python bindings.

  These new wrappers require numpy to be installed
  (see http://opencv.willowgarage.com/wiki/InstallGuide for details).

  Likewise the C++ API, in the new Python bindings you do not need to allocate output arrays.
  They will be automatically created by the functions.

  Here is a micro example:

  import cv
  
  a=cv.imread("lena.jpg",0)
  b=cv.canny(a, 50, 100, apertureSize=3)
  cv.imshow("test",b)
  cv.waitKey(0)

  In the sample a and b are normal numpy arrays, so the whole power of numpy and scipy can now be combined with OpenCV functionality.

• Links to wiki pages have been added to each function description, see http://opencv.willowgarage.com

• All the samples have been documented with default output ‘’(0 or incomplete number of parameters)’’ set to print out “howto” run instructions; most samples have been converted to C++ to use the new OpenCV API.

• Over 300 issues have been resolved. Most of the issues (closed and still open) are listed at http://code.opencv.org/projects/opencv/issues?set_filter=1

• The old bug tracker at https://sourceforge.net/projects/opencvlibrary/ is now closed for updates. As soon as all the still relevant bug reports will be moved to code.ros.org, the old bug tracker will be completely deleted. Please, use the new tracker from now on.

• Installation package for Windows is still 32-bit only and does not include TBB support. You can build parallel or 64-bit version of OpenCV from the source code.

ChangeLog_v1.0-v2.1