Any Docker Images updates? · Issue #347 · CMU-Perceptual-Computing-Lab/openpose · GitHub
Skip to content

Any Docker Images updates? #347

Closed
Closed
Any Docker Images updates?#347
Labels
enhancementNew feature or request

Description

@HoracceFeng
HoracceFeng
opened on Dec 4, 2017

Hi,

I know this may be answered before, BUT I still haven't seen any docker images updates for new users. To be honest, the configuration of environment is really difficult, especially for users who are now familiar with cmake compile. I try to use other openpose project written by python tensorflow, but they are too slow and cannot support the real time webcam actually. Any suggestion?

Thank you so much!

Activity

  1. sberryman commented on Jan 24, 2018

    @sberryman
    sberryman
    on Jan 24, 2018

    I've been using nvidia-docker2 (also works with the now depreciated nvidia-docker v1) with success on two of my boxes. One machine has two 1080 TI's and the other a standard 1080 running Ubuntu 16. They only have the drivers installed according to nvidia's docker install guide and everything is run inside containers.

    Sample:
    https://gist.github.com/sberryman/6770363f02336af82cb175a83b79de33

    Probably quite a bit of room to shrink the dockerfile size down and make it easier to change out opencv, openpose versions etc but should be enough to get you going. Dockerfile has been hacked together to keep it working with openpose v1.2.1 and is probably safe to upgrade OpenCV to v3.4.0.

    I also don't recall why I blow away 3rdparty/caffe and pull from openpose's fork but it works and this isn't designed for production use.

    Edit: Forgot to mention that I've adjusted the /etc/docker/daemon.json config file to ensure nvidia is the default-runtime

  2. gineshidalgo99
    added
    enhancementNew feature or request
    on Jan 24, 2018

  3. moiseevigor commented on Nov 18, 2018

    @moiseevigor
    moiseevigor
    on Nov 18, 2018

    Hi @sberryman, you're inspired me to produce this Dockerfile - OpenPose 1.4.0, OpenCV, CUDA 8, CuDNN 6, Python2.7 that uses latest Caffe build through the bvlc/caffe:gpu image.

  4. sberryman commented on Nov 18, 2018

    @sberryman
    sberryman
    on Nov 18, 2018

    @moiseevigor - Glad it was able to help you! Any chance you can share what you are using OpenPose for?

  5. moiseevigor commented on Nov 18, 2018

    @moiseevigor
    moiseevigor
    on Nov 18, 2018

    Using as a state-of-art benchmark for pose estimation and evaluating for some projects, not able to disclose more for now.

  6. ExSidius commented on Apr 15, 2019

    @ExSidius
    ExSidius
    on Apr 15, 2019

    I've got another Dockerfile working with CUDA 10 if anybody is interested.

    https://github.com/ExSidius/openpose-docker/blob/master/Dockerfile

    https://cloud.docker.com/repository/docker/exsidius/openpose/general

  7. gineshidalgo99 commented on Apr 15, 2019

    @gineshidalgo99
    gineshidalgo99
    on Apr 15, 2019
    Member

    I will close this, but I have added a link to your Docker files in our doc/installation.md (it will be pushed in the next commit). Thanks for the help!

    And feel free to post new Dockerfiles in here, I will keep adding them to that file :)

  8. gineshidalgo99
    closed this as completedon Apr 15, 2019

  9. johndpope commented on Jul 8, 2019

    @johndpope
    johndpope
    on Jul 8, 2019
    Contributor

    UPDATE - so seems nvidia has switched things up under the hood with nvidia-runtime container - you don't need the custom etc/docker/daemon.json

    see https://github.com/NVIDIA/nvidia-docker
    for latest info

    N.B. - you can actually just invoke nvidia runtime like this
    docker run --runtime=nvidia

    # If you have nvidia-docker 1.0 installed: we need to remove it and all existing GPU containers
docker volume ls -q -f driver=nvidia-docker | xargs -r -I{} -n1 docker ps -q -a -f volume={} | xargs -r docker rm -f
sudo apt-get purge -y nvidia-docker

# Add the package repositories
curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | \
  sudo apt-key add -
distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | \
  sudo tee /etc/apt/sources.list.d/nvidia-docker.list
sudo apt-get update

# Install nvidia-docker2 and reload the Docker daemon configuration
sudo apt-get install -y nvidia-docker2
sudo pkill -SIGHUP dockerd

# Test nvidia-smi with the latest official CUDA image
docker run --runtime=nvidia --rm nvidia/cuda:9.0-base nvidia-smi

  10. neonb88 commented on Sep 4, 2019

    @neonb88
    neonb88
    on Sep 4, 2019
    Contributor

    @gineshidalgo99 Hi, how can I submit a push request for a README? It would be beautiful if you could just post "1. install docker 2. docker pull exsidius/openpose". Gets people up and running in no time! Otherwise, please make the reference to ExSidius' image the first one on https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/master/doc/installation.md#operating-systems. The first docker link's Caffe is broken, and I wasted at least a day's productivity trying to get it to work. It might take you 15 minutes to update https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/master/doc/installation.md, and it might save the world's hackers 10+ days.

    Hopefully people keep this updated, so if nvidia or caffe pushes something that breaks ExSidius's docker image, a valid docker image will still be present

    Finally, thanks for all your hard work, Gines! This is far and away the standard for 2-D pose detection, at least in the U.S. Hopefully development continues on this project even if you move on to other projects

    -nxb

  11. gineshidalgo99 commented on Sep 5, 2019

    @gineshidalgo99
    gineshidalgo99
    on Sep 5, 2019
    Member

    You can easily do a Pull request!
    Simply go to https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/master/doc/installation.md (if that's the page you wanna edit) and click in the pen icon. It should allow you to edit it and do a pull request about it.

  12. neonb88 commented on Sep 5, 2019

    @neonb88
    neonb88
    on Sep 5, 2019
    Contributor

    Cool, submitted! I guess I'm now officially a very very minor contributor to an Open Source project, haha

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Metadata

Metadata

Assignees

No one assigned

    Labels

    enhancementNew feature or request

    Type

    No type

    Projects

    No projects

      Milestone

      No milestone

      Relationships

      None yet

      Development

      No branches or pull requests

      Issue actions