|
a |
|
b/ViTPose/docker/Dockerfile |
|
|
1 |
ARG PYTORCH="1.6.0" |
|
|
2 |
ARG CUDA="10.1" |
|
|
3 |
ARG CUDNN="7" |
|
|
4 |
|
|
|
5 |
FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel |
|
|
6 |
|
|
|
7 |
ENV TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0+PTX" |
|
|
8 |
ENV TORCH_NVCC_FLAGS="-Xfatbin -compress-all" |
|
|
9 |
ENV CMAKE_PREFIX_PATH="$(dirname $(which conda))/../" |
|
|
10 |
|
|
|
11 |
RUN apt-get update && apt-get install -y git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 libgl1-mesa-glx\ |
|
|
12 |
&& apt-get clean \ |
|
|
13 |
&& rm -rf /var/lib/apt/lists/* |
|
|
14 |
|
|
|
15 |
# Install xtcocotools |
|
|
16 |
RUN pip install cython |
|
|
17 |
RUN pip install xtcocotools |
|
|
18 |
|
|
|
19 |
# Install MMCV |
|
|
20 |
RUN pip install mmcv-full==latest+torch1.6.0+cu101 -f https://download.openmmlab.com/mmcv/dist/index.html |
|
|
21 |
|
|
|
22 |
# Install MMPose |
|
|
23 |
RUN conda clean --all |
|
|
24 |
RUN git clone https://github.com/open-mmlab/mmpose.git /mmpose |
|
|
25 |
WORKDIR /mmpose |
|
|
26 |
RUN mkdir -p /mmpose/data |
|
|
27 |
ENV FORCE_CUDA="1" |
|
|
28 |
RUN pip install -r requirements/build.txt |
|
|
29 |
RUN pip install --no-cache-dir -e . |