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Hi @ZheC, I use you provided 'MPI.json' file to extract 343 images as the validation set to test the accuracy of you provided MPII-iter146000 model. The network input size is set as 368. The scale search uses 3 scales, which are 0.7, 1 and 1.3. The obtained accuracy is only 50.4 and much lower than the accuracy mentioned in the paper (79.1). I am not sure if it is the reason of parameter setting. Could you tell me what parameters were used on MPII val set? Thanks.
The text was updated successfully, but these errors were encountered:
Hi @ZheC, I use all the default parameters and model to generate the predictions on the val set of 343 images. Below are the detected pose results. I checked all the results and did not see the result is obviously inaccurate. So according to your experience, what is the possible reason of such a low accuracy?
Hi @ZheC, I use you provided 'MPI.json' file to extract 343 images as the validation set to test the accuracy of you provided MPII-iter146000 model. The network input size is set as 368. The scale search uses 3 scales, which are 0.7, 1 and 1.3. The obtained accuracy is only 50.4 and much lower than the accuracy mentioned in the paper (79.1). I am not sure if it is the reason of parameter setting. Could you tell me what parameters were used on MPII val set? Thanks.
The text was updated successfully, but these errors were encountered: