very low miou using your uploaded model params

[mengzhibin]

i down load https://drive.google.com/file/d/1hFF-J9qoXlbVRRUr29aWeQpL4Lwn45mU/view, then put it in the corresponding folder and rename it epoch-last.pth. eval result is very bad as below:
08 11:40:17 using devices 0 08 11:40:17 Load Model: /home/mengzhibin/learn/TorchSeg/log/cityscapes.bisenet.R18/snapshot/epoch-last.pth 08 11:40:20 Load model, Time usage: IO: 2.575568914413452, initialize parameters: 0.02306199073791504 08 11:40:20 GPU 0 handle 500 data. 0%| | 0/500 [00:00<?, ?it/s]08 11:40:20 Load Model on Device 0: 0.00s 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 500/500 [05:37<00:00, 1.47it/s] 1 road 0.000% 2 sidewalk 1.077% 3 building 1.571% 4 wall 0.472% 5 fence 2.899% 6 pole 0.482% 7 traffic light 0.000% 8 traffic sign 0.007% 9 vegetation 0.244% 10 terrain 0.913% 11 sky 0.000% 12 person 0.175% 13 rider 0.050% 14 car 0.279% 15 truck 0.000% 16 bus 0.060% 17 train 0.000% 18 motorcycle 0.052% 19 bicycle 0.142% ---------------------------- mean_IU 0.443% mean_IU_no_back 0.468% mean_pixel_ACC 0.855% 08 11:45:58 Evaluation Elapsed Time: 337.67s
is there something wrong?

[ycszen]

Are there more details? Are you sure you load the right checkpoint?

[ArgentLo]

@mengzhibin
Probably because you are using ***_labelIds.png as GT imgs.
While the model was trained using TrainId.

(ref: https://github.com/mcordts/cityscapesScripts/blob/master/cityscapesscripts/helpers/labels.py)
hope this can help.

[mengzhibin]

@ArgentLo Thanks Very much, I will have a try.