Pulling the traditional media art trick on training Alphapose.
alphapose-docker@5aa2d0fac1 | ||
.gitignore | ||
.gitmodules | ||
.python-version | ||
downloadCOCO.sh | ||
find_diffs.ipynb | ||
loop_alphapose_training.py | ||
poetry.lock | ||
pyproject.toml | ||
README.md | ||
run_test_inferences.py |
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.
- YOLOv3 Object detector can be place in the
alphapose-docker/detector/yolo/data
repository. - (Optionally) YOLOX models go in the
alphapose-docker/detector/yolox/data
repository. - A pretrained AlphaPose model can be place in the
alphapose-docker/pretrained_models
directory. See their Model Zoo for the various options. - For pose tracking, see the pose tracking module. Make sure to add the necessary folder as a volume to the
docker run
command.
Usage
Then the scripts can be invoked with poetry run python ....py