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In the original paper, the author used OKS (Object Keypoint Similarity) to evaluate the network when using COCO Dataset. I saw in simple-HRNet there's validation during training but in case I want to custom COCO dataset (adding my own data), then retrain again. After that I need to evaluate the performance on test videos, not the ones in training, is there any function to do so?
The text was updated successfully, but these errors were encountered:
There isn't a Test script for COCO yet, but it should be easy to adapt the COCOTrain class and create a COCOTest class predicting the OKS score.
I'll try to add it along with a test script soon.
In the original paper, the author used OKS (Object Keypoint Similarity) to evaluate the network when using COCO Dataset. I saw in simple-HRNet there's validation during training but in case I want to custom COCO dataset (adding my own data), then retrain again. After that I need to evaluate the performance on test videos, not the ones in training, is there any function to do so?
The text was updated successfully, but these errors were encountered: