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[DeepFashion2 Challenge] Fashion Landmark Estimation with HRNet

Results 5 HRNet-for-Fashion-Landmark-Estimation.PyTorch issues
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1. I have followed the issue #5 but unable to produce the better keypoints. is there anything else to improve the Visualization part ?

训练的时候出现以下错误 for catId in catIds} File "/home/sa/anaconda3/envs/torch1.7/lib/python3.6/site-packages/pycocotools/cocoeval.py", line 229, in computeOks e = (dx**2 + dy**2) / vars / (gt['area']+np.spacing(1)) / 2 ValueError: operands could not be broadcast together with...

![val_400_gt_pred](https://user-images.githubusercontent.com/13220463/101330716-eb1d5d80-38ad-11eb-8b49-c7e31c4c959d.jpg) I test the checkpoint, using the command in Readme. python tools/test.py \ --cfg experiments/deepfashion2/hrnet/w48_384x288_adam_lr1e-3.yaml \ TEST.MODEL_FILE models/pose_hrnet-w48_384x288-deepfashion2_mAP_0.7017.pth \ TEST.USE_GT_BBOX True I open the debug switch in config file, and...

i just want to know how can we apply the entire repo on another dataset

First, thanks for sharing this great work! Here is some issue that I met. I try to visualize the result by running the script### > python tools/test.py --cfg experiments/deepfashion2/hrnet/w48_384x288_adam_lr1e-3.yaml TEST.MODEL_FILE...