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I'm wondering if it is possible to extract the class confidence and location box loss for each image in the batch, so not having a unique loss metric at the end but a tensor of loss in the such form [batch_size, 2] with each column corresponding to the class confidence and location box loss?
I'm asking this since I'm willing to add an additional module up on SSD and I need the loss for each images in the batch.
The text was updated successfully, but these errors were encountered:
I'm wondering if it is possible to extract the class confidence and location box loss for each image in the batch, so not having a unique loss metric at the end but a tensor of loss in the such form [batch_size, 2] with each column corresponding to the class confidence and location box loss?
I'm asking this since I'm willing to add an additional module up on SSD and I need the loss for each images in the batch.
The text was updated successfully, but these errors were encountered: