Recall-Weighted-Loss-PyTorch Modified from An unofficial implementation of 《Recall Loss for Imbalanced Image Classification and Semantic Segmentation》. Caculate recall of each class in every input. Default loss function is softmax + nll_loss, take every image recall as weight.