Docker - matiasdelellis/pdlib Wiki


We are aware that many users use Docker for their Nextcloud instances. Below are some examples and then some steps to help you quickly get started with Facerecognition using Docker. There are two variants: Debian using Apache and Alpine using PHP FPM. These are based on the two options available in


Extend nextcloud:apache

In this example we show how to install Dlib and PDlib from source to build a Nextcloud image with Debian and Apache. This Dockerfile uses multistage builds to first build the binaries of Dlib and then automatically copy the binaries to the final image. Use it as a guide to adapt it to your needs.

# Use a temporary image to compile and test the libraries
FROM nextcloud:apache as builder

# Build and install dlib on builder

RUN apt-get update ; \
    apt-get install -y build-essential wget cmake libx11-dev libopenblas-dev

RUN wget -c -q$DLIB_BRANCH.tar.gz \
    && tar xf $DLIB_BRANCH.tar.gz \
    && mv dlib-* dlib \
    && cd dlib/dlib \
    && mkdir build \
    && cd build \
    && cmake -DBUILD_SHARED_LIBS=ON --config Release .. \
    && make \
    && make install

# Build and install PDLib on builder

RUN apt-get install unzip
RUN wget -c -q$ \
    && unzip $PDLIB_BRANCH \
    && mv pdlib-* pdlib \
    && cd pdlib \
    && phpize \
    && ./configure \
    && make \
    && make install

# Enable PDlib on builder

# If necesary take the php settings folder uncommenting the next line
# RUN php -i | grep "Scan this dir for additional .ini files"
RUN echo "" > /usr/local/etc/php/conf.d/pdlib.ini

# Test PDlib instalation on builer

RUN apt-get install -y git
RUN git clone \
    && cd pdlib-min-test-suite \
    && make

# If pass the tests, we are able to create the final image.

FROM nextcloud:apache

# Install dependencies to image

RUN apt-get update ; \
    apt-get install -y libopenblas-base

# Install dlib and PDlib to image

COPY --from=builder /usr/local/lib/* /usr/local/lib

# If is necesary take the php extention folder uncommenting the next line
# RUN php -i | grep extension_dir
COPY --from=builder /usr/local/lib/php/extensions/no-debug-non-zts-20180731/ /usr/local/lib/php/extensions/no-debug-non-zts-20180731/

# Enable PDlib on final image

RUN echo "" > /usr/local/etc/php/conf.d/pdlib.ini

# Increse memory limits

RUN echo memory_limit=1024M > /usr/local/etc/php/conf.d/memory-limit.ini

# Pdlib is already installed, now without all build dependencies.
# You could test again if everything is correct, uncommenting the next lines
# RUN apt-get install -y git wget
# RUN git clone \
#    && cd pdlib-min-test-suite \
#    && make

# At this point you meet all the dependencies to install the application
# If is available you can skip this step and install the application from the application store
RUN apt-get install -y wget unzip nodejs npm
RUN wget -c -q -O facerecognition$ \
  && unzip facerecognition \
  && mv facerecognition-*  /usr/src/nextcloud/facerecognition \
  && cd /usr/src/nextcloud/facerecognition \
  && make

Extend nextcloud:18-fpm-alpine

In this example we show how to install Dlib from a repository and PDlib using docker-php-ext-install to build a Nextcloud image with Alpine and PHP FPM (for use with Nginx).

FROM nextcloud:18-fpm-alpine

RUN apk add -X dlib

RUN wget \
  && mkdir -p /usr/src/php/ext/ \
  && unzip -d /usr/src/php/ext/ \
  && rm
RUN docker-php-ext-install pdlib-master

RUN apk add bzip2-dev
RUN docker-php-ext-install bz2


Build new Image

Build your new Nextcloud image: docker build . -t <name-of-your-container>

Run the new image

Now you must execute this image replacing the previous one in your commands.

Enable the Facerecognition application

You can enable it in the Nextcloud administration panel.

Configure the Facerecognition application

You must install the models as: docker exec -it -u www-data <name-of-your-container> ./occ face:setup --model MODEL_ID

Run the Facerecognition background_job

Run the face recognition job with command: docker exec -it -u www-data <name-of-your-container> ./occ face:background_job -u <user> -t 900