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@ -203,7 +203,7 @@ If you need to detect specific points on a human being, an animal, or an object,
### With AlphaPose:
[AlphaPose](https://github.com/MVIG-SJTU/AlphaPose) is one of the main competitors of OpenPose, and its accuracy is comparable. As a top-down approach (unlike OpenPose which is bottom-up), it is faster on single-person detection, but slower on multi-person detection.\
All AlphaPose models are supported (HALPE_26, HALPE_68, HALPE_136, COCO_133, COCO, MPII).
All AlphaPose models are supported (HALPE_26, HALPE_68, HALPE_136, COCO_133, COCO, MPII). For COCO and MPII, AlphaPose must be run with the flag "--format cmu".
* Install and run AlphaPose on your videos (more instruction on their repository)
* Translate the AlphaPose single json file to OpenPose frame-by-frame files (with `AlphaPose_to_OpenPose.py` script, see [Utilities](#utilities)):
``` cmd
@ -849,6 +849,7 @@ If you want to contribute to Pose2Sim, please follow [this guide](https://docs.g
✔ **Pose:** Support [BlazePose](https://developers.google.com/mediapipe/solutions/vision/pose_landmarker) for faster inference (on mobile device).
✔ **Pose:** Support [DeepLabCut](http://www.mackenziemathislab.org/deeplabcut) for training on custom datasets.
✔ **Pose:** Support [AlphaPose](https://github.com/MVIG-SJTU/AlphaPose) as an alternative to OpenPose.
✔ **Pose:** Define custom model in config.toml rather than in skeletons.py.
▢ **Pose:** Support [MMPose](https://github.com/open-mmlab/mmpose), [SLEAP](https://sleap.ai/), etc.
▢ **Pose:** Access skeletons more easily by storing them in skeletons.toml.