I train a DeepLabV3 and FCN (torchvision) with own dataset (2 classes: background and my object) and use the metrics calculated in the class ConfusionMatrix 61 in the utils.py 61.
Can someone explain these metrics to me? I know the IoU, but what do “global correct” and “average row correct” mean?
Test:  [ 0/32]  eta: 0:00:18    time: 0.5879  data: 0.1397  max mem: 0
Test: Total time: 0:00:18
global correct: 99.5
average row correct: ['99.9', '88.2']
IoU: ['99.4', '86.9']
mean IoU: 93.2