Make sure the labels and predictions are equally scaled on confusion_matrix.process_batch5.0
@@ -178,7 +178,7 @@ def test(data, | |||
tbox = xywh2xyxy(labels[:, 1:5]) | |||
scale_coords(img[si].shape[1:], tbox, shapes[si][0], shapes[si][1]) # native-space labels | |||
if plots: | |||
confusion_matrix.process_batch(pred, torch.cat((labels[:, 0:1], tbox), 1)) | |||
confusion_matrix.process_batch(predn, torch.cat((labels[:, 0:1], tbox), 1)) | |||
# Per target class | |||
for cls in torch.unique(tcls_tensor): |