PoseEstimation-TFLiteSwift
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Implement benchmark on real device (CPU, GPU, NPU)
Dataset
- [ ] with coco 2017 test set (http://cocodataset.org/#download)
Metric
- PCKH-0.5 (the most popular metric in paperswithcode/pose-estimation-on-mpii-human-pose)
- implement reference: edvardHua/PoseEstimationForMobile's benchmark.py
Define
ref: https://nanonets.com/blog/human-pose-estimation-2d-guide/
Percentage of Correct Key-points - PCK: A detected joint is considered correct if the distance between the predicted and the true joint is within a certain threshold. The threshold can either be:
- [email protected] is when the threshold = 50% of the head bone link ...