Created from eoastafurov1/ubuntu18_mp:latest. Contains all necessary packages (e.g. mediapipe, Pillow, dlib, Shapely, scikit-image, tensorflow, ...) for running Faceengine ML pipeline from Imagin team.
FROM eoastafurov1/ubuntu18_mp:latest
# Perform test to ensure mediapipe core works correctly
# RUN python3 /root/mediapipe/third_party/env_test.py
RUN pip3 install Keras-Preprocessing==1.1.2
RUN pip3 install Markdown==3.3.4
RUN pip3 install Pillow==8.2.0
RUN pip3 install dlib==19.22.0
RUN pip3 install Shapely==1.7.1
RUN pip3 install scikit-image==0.18.0rc1
RUN pip3 install scipy==1.5.4
RUN pip3 install tensorboard==2.5.0
RUN pip3 install tensorboard-data-server==0.6.0
RUN pip3 install tensorboard-plugin-wit==1.8.0
RUN pip3 install tensorflow==2.4.1
RUN pip3 install tensorflow-estimator==2.4.0
RUN pip3 install tifffile==2020.9.3
RUN pip3 install tqdm==4.60.0
RUN pip3 install imutils==0.5.4
RUN pip3 install pandas
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# > docker build --file './Dockerfile' --tag 'ubuntu18_mp_faceengine' .
# > docker image rm --force ubuntu18_mp_faceengine
# > sudo docker run -it --rm --memory="10g" --memory-swap="10g" ubuntu18_mp_faceengine
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FROM eoastafurov1/ubuntu18_mp_faceengine:latest
RUN pip install --upgrade pip
RUN pip3 install pytest
RUN apt-get install nano
# RUN cd /root/
# COPY mediapipe_hs/ /root/mediapipe_hs/
# RUN cd /root/mediapipe_hs/
# RUN rm -rf /root/mediapipe
RUN rm -rf /root/mediapipe_hs
COPY configured_mp_hs /root/mediapipe_hs/
# ENV PATH="/root/mp_env/bin:$PATH"
ENV PATH="/root/mediapipe_hs/mp_env/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin"
RUN pip3 install dlib==19.22.0
RUN pip3 install importlib_metadata
RUN pip3 install termcolor
RUN pip3 install pytest
#############################################
# > docker build --file './Dockerfile' --tag 'eoastafurov1/ubuntu18_mp_faceengine:updates' .
# > docker image rm --force eoastafurov1/ubuntu18_mp_faceengine:updates
# > sudo docker run -it --rm --memory="10g" --memory-swap="10g" eoastafurov1/ubuntu18_mp_faceengine:updates
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Folder configured_mp_hs on google drive
FROM eoastafurov1/ubuntu18_mp_faceengine:updates
RUN pip install --upgrade pip
RUN pip3 install importlib_metadata
RUN pip3 install termcolor
RUN pip3 install flask==1.1.2
RUN pip3 install scikit-image==0.17.2
RUN pip3 install scikit-learn==0.23.2
RUN pip3 install Keras==2.4.3
RUN pip3 install Keras-Applications==1.0.6
RUN pip3 install Keras-Preprocessing==1.1.2
RUN pip3 install keras-vggface==0.6
RUN pip3 install imutils==0.5.4
RUN pip3 install shapely
RUN pip3 install dlib==19.22.0
RUN pip3 install Keras-Preprocessing==1.1.2
RUN pip3 install Markdown==3.3.4
RUN pip3 install Pillow==8.2.0
RUN pip3 install dlib==19.22.0
RUN pip3 install Shapely==1.7.1
RUN pip3 install scikit-image==0.18.0rc1
RUN pip3 install scipy==1.5.4
RUN pip3 install tensorboard==2.5.0
RUN pip3 install tensorboard-data-server==0.6.0
RUN pip3 install tensorboard-plugin-wit==1.8.0
RUN pip3 install tensorflow==2.4.1
RUN pip3 install tensorflow-estimator==2.4.0
RUN pip3 install tifffile==2020.9.3
RUN pip3 install tqdm==4.60.0
RUN pip3 install imutils==0.5.4
RUN pip3 install pandas
#############################################
# > docker build --file './Dockerfile' --tag 'eoastafurov1/ubuntu18_mp_faceengine:server_api' .
# > docker image rm --force eoastafurov1/ubuntu18_mp_faceengine:server_api
# > sudo docker run -it --rm --memory="10g" --memory-swap="10g" eoastafurov1/ubuntu18_mp_faceengine:server_api
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Content type
Image
Digest
Size
2.4 GB
Last updated
over 5 years ago
docker pull eoastafurov1/ubuntu18_mp_faceengine