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Hi, my problem is that when I benchmark, the metrics do not match the expected results for most of the images in the validation set. For example, for the whole validation set when comparing the predictions with the ground truth I get the following results:
nme_reprojection: 41.0635
z5_accuracy: 0.820
pose_error: 0.82040
I don't know why this is happening, because if I draw the landmarks predicted by the model on the images, they are not so far away from the annotations.
The text was updated successfully, but these errors were encountered:
Hi, my problem is that when I benchmark, the metrics do not match the expected results for most of the images in the validation set. For example, for the whole validation set when comparing the predictions with the ground truth I get the following results:
nme_reprojection: 41.0635
z5_accuracy: 0.820
pose_error: 0.82040
I don't know why this is happening, because if I draw the landmarks predicted by the model on the images, they are not so far away from the annotations.
The text was updated successfully, but these errors were encountered: