Please help me. Why do the models I ran out use test? The test indicators on the verification set are all 0. I haven't made any changes
warn(f"Failed to load image Python extension: {e}")
0%| | 0/200 [00:00<?, ?it/s]F:\anaconda3\envs\pytorch\lib\site-packages\torch\nn\functional.py:3635: UserWarning: Default upsampling behavior when mode=bilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
"See the documentation of nn.Upsample for details.".format(mode)
100%|██████████| 200/200 [00:22<00:00, 9.06it/s]
Test Result:
recall: 1.0000, specificity: 0.0000, precision: 0.1627, F1: 0.2574, F2: 0.4216, ACC_overall: 0.1627, IoU_poly: 0.1627, IoU_bg: 0.0000, IoU_mean: 0.0813
Done
Process finished with exit code 0
Please help me. Why do the models I ran out use test? The test indicators on the verification set are all 0. I haven't made any changes
warn(f"Failed to load image Python extension: {e}")
0%| | 0/200 [00:00<?, ?it/s]F:\anaconda3\envs\pytorch\lib\site-packages\torch\nn\functional.py:3635: UserWarning: Default upsampling behavior when mode=bilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
"See the documentation of nn.Upsample for details.".format(mode)
100%|██████████| 200/200 [00:22<00:00, 9.06it/s]
Test Result:
recall: 1.0000, specificity: 0.0000, precision: 0.1627, F1: 0.2574, F2: 0.4216, ACC_overall: 0.1627, IoU_poly: 0.1627, IoU_bg: 0.0000, IoU_mean: 0.0813
Done
Process finished with exit code 0