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I have imported the .ply file of the template into blender. I found that the Measuring Unit is m not mm. When I use the measure tool to roughly measure the face size of BIWI and vocaset, I found that vocaset might be accurate while BIWI was so big. This seems inconsistent with the evaluation error in paper, not only this model, but alse CodeTalker, FaceFormer and other related model. I think if I have missed something? Or the measurement in blender is incompatible with the .ply data? Or have you done some process on the data or evaluation?
By the way, I wonder how to evaluate the error. I found the one hot input only refers to 8 persons as training set according to the class Dataset "self.one_hot_labels = np.eye(len(subjects_dict["train"]))" in data_loader.py. But for the test_pred.py, when input the test data of the test subject, the one hot input is still the 8 persons'. I am confused about this. Thanks for answering the issue!
The text was updated successfully, but these errors were encountered:
I have imported the .ply file of the template into blender. I found that the Measuring Unit is m not mm. When I use the measure tool to roughly measure the face size of BIWI and vocaset, I found that vocaset might be accurate while BIWI was so big. This seems inconsistent with the evaluation error in paper, not only this model, but alse CodeTalker, FaceFormer and other related model. I think if I have missed something? Or the measurement in blender is incompatible with the .ply data? Or have you done some process on the data or evaluation?
By the way, I wonder how to evaluate the error. I found the one hot input only refers to 8 persons as training set according to the class Dataset "self.one_hot_labels = np.eye(len(subjects_dict["train"]))" in data_loader.py. But for the test_pred.py, when input the test data of the test subject, the one hot input is still the 8 persons'. I am confused about this. Thanks for answering the issue!
The text was updated successfully, but these errors were encountered: