def acc_segmentation(input: torch.cuda.FloatTensor,
targs: torch.cuda.IntTensor,
rm_bknd=True):
"""The intent of this metric is to have a metric where it's easy to understand the implications of the value it outputs since the output value of mAP IoU is more difficult to understand intuitively."""
_n = targs.shape[0]
input = input.argmax(dim=1).view(_n, -1)
targs = targs.view(_n, -1)
return (input == targs).float().mean()
def accuracy(input: torch.cuda.FloatTensor, targs: torch.cuda.LongTensor):
_n = targs.shape[0]
input = input.argmax(dim=1).view(_n, -1)
targs = targs.view(_n, -1)
return (input == targs).float().mean()