security_vision
/
alphapose-feedback
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity
Pulling the traditional media art trick on training Alphapose.
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
3 Commits
1 Branch
0 Tags
3.3 MiB
 
 
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from 'main'
${ noResults }
Go to file
Ruben van de Ven b9a3ef3a81
Mention COCO download 		3 weeks ago
alphapose-docker@5aa2d0fac1 Alphapose-docker as submodule 3 weeks ago
.gitignore Alphapose-docker as submodule 3 weeks ago
.gitmodules Alphapose-docker as submodule 3 weeks ago
.python-version Scripts to run alphapose training in a loop and analyse results 3 weeks ago
README.md Mention COCO download 3 weeks ago
downloadCOCO.sh Scripts to run alphapose training in a loop and analyse results 3 weeks ago
find_diffs.ipynb Scripts to run alphapose training in a loop and analyse results 3 weeks ago
loop_alphapose_training.py Alphapose-docker as submodule 3 weeks ago
poetry.lock Alphapose-docker as submodule 3 weeks ago
pyproject.toml Alphapose-docker as submodule 3 weeks ago
run_test_inferences.py Scripts to run alphapose training in a loop and analyse results 3 weeks ago

README.md

Looping Alphapose Training

Pulling the traditional media art trick: can we loop the training of Alphapose? What if we train it on COCO data, run it on COCO images, train it on these results, run it on COCO images etc. ad inf.?

Installation

poetry install
git submodule init
git submodule update

Then make sure alphapose-docker is set up:

cd alphapose-docker
docker build --tag alphapose .

As mentioned in the README from alphapose-docker it is necessary to download some external models before usage, as per the AlphaPose installation guide.

  1. YOLOv3 Object detector can be place in the alphapose-docker/detector/yolo/data repository.
  2. (Optionally) YOLOX models go in the alphapose-docker/detector/yolox/data repository.
  3. A pretrained AlphaPose model can be place in the alphapose-docker/pretrained_models directory. See their Model Zoo for the various options.
  4. For pose tracking, see the pose tracking module. Make sure to add the necessary folder as a volume to the docker run command.

Then make sure to download COCO keypoint 2017 to the data directory:

./downloadCOCO.sh

Usage

Then the scripts can be invoked with poetry run python ....py