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.idea/ | ||
# Byte-compiled / optimized / DLL files | ||
__pycache__/ | ||
*.py[cod] | ||
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FROM nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04 | ||
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ENV DEBIAN_FRONTEND noninteractive | ||
RUN apt-get update && apt-get install -y \ | ||
python3-opencv ca-certificates python3-dev git wget sudo ninja-build | ||
RUN ln -sv /usr/bin/python3 /usr/bin/python | ||
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COPY . /home/appuser | ||
WORKDIR /home/appuser | ||
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# https://github.com/facebookresearch/detectron2/issues/3933 | ||
ENV PATH="/home/appuser/.local/bin:${PATH}" | ||
RUN wget https://bootstrap.pypa.io/pip/3.6/get-pip.py && \ | ||
python3 get-pip.py && \ | ||
rm get-pip.py | ||
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# install dependencies | ||
# See https://pytorch.org/ for other options if you use a different version of CUDA | ||
RUN pip install -r requirements.txt | ||
RUN pip install torch==1.10 torchvision==0.11.1 -f https://download.pytorch.org/whl/cu111/torch_stable.html | ||
RUN pip install setuptools==59.5.0 | ||
RUN python setup.py develop |
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clean: | ||
docker rm -f $$(docker ps -qa) | ||
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build-image: | ||
docker build -t=deeppreid:v0 . | ||
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run: | ||
nvidia-docker run -v ${PWD}:/home/appuser --name=deeppreid --net=host --ipc=host -it deeppreid:v0 |
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