You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Actually, I realised that test.py extracts predictions on 1 subject (17 gestures x 500 frames per gesture = 8500) where it is expected from awsome-hand-pose-estimation framework that the evaluation will take place on the whole dataset (9 subjects x 17 hand gestures x 500 frames per gesture = 76500).
What should I change in test.py to extract the estimated joints for the whole MSRA dataset?
There are scripts in the github page that can be used to estimate the MSE individually for each subject. No need to use awsome-hand-pose-estimation for evaluation.
I am using the test.py script to generate the predictions so I can later evaluate the model using the https://github.com/xinghaochen/awesome-hand-pose-estimation framework.
For msra the total number of predictions in the generated txt file is 8496 while the expected number of predictions in the https://github.com/xinghaochen/awesome-hand-pose-estimation is 76375.
Therefore i am getting an error while trying to generate the scores :
ValueError: operands could not be broadcast together with shapes (76375,21,3) (8496,21,3)
Shouldn't the test.py script generate a bigger list of predictions for this dataset? Or am I doing something wrong?
The text was updated successfully, but these errors were encountered: