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Specify numpy==1.18.5 since latest default v1.19+ is incompatible #5

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2 changes: 1 addition & 1 deletion Dockerfile
Original file line number Diff line number Diff line change
Expand Up @@ -27,7 +27,7 @@ RUN echo "Installing dependencies..." && \
libcanberra-gtk-module \
libopencv-dev && \
python3 -m pip install \
numpy \
numpy==1.18.5 \
protobuf \
opencv-python

Expand Down
38 changes: 29 additions & 9 deletions README.md
Original file line number Diff line number Diff line change
@@ -1,16 +1,36 @@
# openpose-docker
Dockerfile to build the excellent OpenPose software from CMU.

Ensure that you have `nvidia-docker` installed before you download this image.
Dockerfile to build the excellent [OpenPose](https://github.com/CMU-Perceptual-Computing-Lab/openpose) software from CMU.

To run the container, use the following commmand -
## Prerequisites

Ensure that you have the latest version of Docker installed. For versions prior to 19.03, you may need to install `nvidia-docker`. Read more [here](https://github.com/NVIDIA/nvidia-docker).

## Getting Started

Pull the image from Docker Hub -

```bash
xhost +
docker run -it --net=host -e DISPLAY --runtime=nvidia <container-id>
```
$ docker pull exsidius/openpose
```

To run the container (name given: `openpose`), use the following commmands -

```
$ docker stop openpose && docker rm openpose
$ docker run -it \
--gpus all \
--name openpose \
exsidius/openpose
```

Now, you should be inside the interactive docker container, i.e.
`root@<hash>:/openpose# `

_Note_: Remove the `--gpus all` flag if you want to run the container without GPUs.

### Supports

Supports -
1. CUDA 10
2. CUDnn 7
3. Python 3 (will be 3.7 soon)
2. cuDNN 7
3. Python 3.5.2 (will be 3.7 soon)