1.4 KiB
1.4 KiB
AlphaPose Docker
Create a docker image for AlphaPose (code at GitHub).
Building the image
docker build --tag alphapose .
Usage
Before the repository can be used, it is necessary to download the required auxilary models, as per the AlphaPose installation guide.
- YOLOv3 Object detector can be place in the
detector/yolo/data
repository. - (Optionally) YOLOX models go in the
detector/yolox/data
repository. - A pretrained AlphaPose model can be place in the
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.
Running
docker run --rm --gpus all -v `pwd`/out:/out -v `pwd`/detector/yolox/data:/build/AlphaPose/detector/yolox/data -v `pwd`/detector/yolo/data:/build/AlphaPose/detector/yolo/data -v `pwd`/pretrained_models:/build/AlphaPose/pretrained_models alphapose python3 scripts/demo_inference.py --cfg configs/coco/resnet/256x192_res50_lr1e-3_1x.yaml --checkpoint pretrained_models/fast_res50_256x192.pth --gpus 0 --indir examples/demo/ --save_img --vis_fast --outdir /out