cea18fc729df204b371271e1db4be3f9f4443fce,keras_rcnn/layers/losses/_mask_rcnn.py,RCNNMaskLoss,compute_mask_loss,#,120

Before Change

        a = RCNNMaskLoss.binary_crossentropy(target=target_mask, output=output_mask)

        loss = keras.backend.sum(a * b) / keras.backend.sum(b)
        // loss = keras.backend.mean(a * b)

        // TODO: we should try:
        //   `keras.backend.mean(a * b) + keras.backend.mean(1 - b)`

After Change

        a = RCNNMaskLoss.binary_crossentropy(target=target_mask, output=output_mask)

        // loss = keras.backend.sum(a * b) / keras.backend.sum(b)
        loss = keras.backend.mean(a * b)

        // TODO: we should try:
        //   `keras.backend.mean(a * b) + keras.backend.mean(1 - b)`

Instances