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Hi.
I recently reproduced your code with TF2 but the trained model seems wrong w.r.t. the original one.
I understood that the confidence map should be like clustered shape. But after I get the images
with my trained model, the image looks all red. Is this meaning that the variance of the distribution of the values
in illums_est are too small, or an evidence of overfitting? Numerical performance is not bad though.
I know the magnitude of these values are not that important because we are investigating the angle of the illumination
vector. But I really wanna know that this full of red color doesn't means that the training went wrong or not. Thanks.
The text was updated successfully, but these errors were encountered:
Hi.
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I recently reproduced your code with TF2 but the trained model seems wrong w.r.t. the original one.
I understood that the confidence map should be like clustered shape. But after I get the images
with my trained model, the image looks all red. Is this meaning that the variance of the distribution of the values
in illums_est are too small, or an evidence of overfitting? Numerical performance is not bad though.
I know the magnitude of these values are not that important because we are investigating the angle of the illumination
vector. But I really wanna know that this full of red color doesn't means that the training went wrong or not. Thanks.
The text was updated successfully, but these errors were encountered: