cvlab-stonybrook / bodyhands Goto Github PK
View Code? Open in Web Editor NEWWhose Hands Are These? Hand Detection and Hand-Body Association in the Wild, CVPR 2022
License: MIT License
Whose Hands Are These? Hand Detection and Hand-Body Association in the Wild, CVPR 2022
License: MIT License
I have implemented the heuristic method according to the steps in the supplementary materials, but I have not been able to replicate the performance improvement reported in the paper. In fact, in some cases, the AP of my implementation is even lower than that of the baseline.
I am using the [contacthands_data_model.pth] model and the [ContactHands] dataset.
I have tried different parameter combinations, but none of them have achieved the results reported in the paper. In some cases, the AP is even lower.
I suspect that there may be some problems with my implementation. Has anyone else encountered a similar issue? If so, please provide your solution.
ret = OrderedDict()
mAP_dual_metric = {iou: np.mean(x) for iou, x in aps_dual_metric.items()}
mAP_single_metric = {iou: np.mean(x) for iou, x in aps_single_metric.items()}
ret["bbox"] = {"AP@50IoU_dual_metric": mAP_dual_metric[50], "AP@50IoU_single_metric": mAP_single_metric[50]}
return ret
Good work! Are you planning to release the work?
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