Support docker (#160)

* support docker

* update installation"

* update mmcv version

* update doc and resolve comment

docker/Dockerfile

+ARG PYTORCH="1.6.0"
+ARG CUDA="10.1"
+ARG CUDNN="7"
+
+FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
+
+ENV TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0+PTX"
+ENV TORCH_NVCC_FLAGS="-Xfatbin -compress-all"
+ENV CMAKE_PREFIX_PATH="$(dirname $(which conda))/../"
+
+RUN apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 \
+    && apt-get clean \
+    && rm -rf /var/lib/apt/lists/*
+
+# Install MMCV
+RUN pip install mmcv-full==latest+torch1.6.0+cu101 -f https://openmmlab.oss-accelerate.aliyuncs.com/mmcv/dist/index.html
+RUN pip install mmdet
+
+# Install MMDetection
+RUN conda clean --all
+RUN git clone https://github.com/open-mmlab/mmdetection3d.git /mmdetection3d
+WORKDIR /mmdetection3d
+ENV FORCE_CUDA="1"
+RUN pip install -r requirements/build.txt
+RUN pip install --no-cache-dir -e .
+
+# uninstall pycocotools installed by nuscenes-devkit and reinstall mmpycocotools
+RUN pip uninstall pycocotools --no-cache-dir -y
+RUN pip install mmpycocotools --no-cache-dir --force --no-deps

docs/install.md

@@ -121,6 +121,21 @@ you can install it before installing MMCV.
 
 5. The code can not be built for CPU only environment (where CUDA isn't available) for now.
 
+### Another option: Docker Image
+
+We provide a [Dockerfile](https://github.com/open-mmlab/mmdetection3d/blob/master/docker/Dockerfile) to build an image.
+
+```shell
+# build an image with PyTorch 1.6, CUDA 10.1
+docker build -t mmdetection3d docker/
+```
+
+Run it with
+
+```shell
+docker run --gpus all --shm-size=8g -it -v {DATA_DIR}:/mmdetection3d/data mmdetection3d
+```
+
 ### A from-scratch setup script
 
 Here is a full script for setting up mmdetection with conda.