TypeError: unsupported operand type(s) for /: 'NoneType' and 'int'

[WkangLiu]

When I replay eval.py I get the following error when test the :
'maxFm': 0.7736841486165681}
63%|██████▎ | 2605/4121 [06:05<02:38, 9.59it/s][ WARN:0@1050.869] global /io/opencv/modules/imgcodecs/src/loadsave.cpp (239) findDecoder imread_('./results/BGNet/NC4K/429.png'): can't open/read file: check file path/integrity
63%|██████▎ | 2606/4121 [06:05<03:32, 7.13it/s]
Traceback (most recent call last):
File "/ssdhome/qzb521/abc/BGNet/eval.py", line 30, in
FM.step(pred=pred, gt=mask)
File "/home/qzb521/miniconda3/envs/sinet/lib/python3.9/site-packages/py_sod_metrics/sod_metrics.py", line 65, in step
pred, gt = _prepare_data(pred, gt)
File "/home/qzb521/miniconda3/envs/sinet/lib/python3.9/site-packages/py_sod_metrics/sod_metrics.py", line 23, in _prepare_data
pred = pred / 255
TypeError: unsupported operand type(s) for /: 'NoneType' and 'int'

It maybe not generate the predict image before eval it? What's wrong with this error?

[thograce]

When I replay eval.py I get the following error when test the : 'maxFm': 0.7736841486165681} 63%|██████▎ | 2605/4121 [06:05<02:38, 9.59it/s][ WARN:0@1050.869] global /io/opencv/modules/imgcodecs/src/loadsave.cpp (239) findDecoder imread_('./results/BGNet/NC4K/429.png'): can't open/read file: check file path/integrity 63%|██████▎ | 2606/4121 [06:05<03:32, 7.13it/s] Traceback (most recent call last): File "/ssdhome/qzb521/abc/BGNet/eval.py", line 30, in FM.step(pred=pred, gt=mask) File "/home/qzb521/miniconda3/envs/sinet/lib/python3.9/site-packages/py_sod_metrics/sod_metrics.py", line 65, in step pred, gt = _prepare_data(pred, gt) File "/home/qzb521/miniconda3/envs/sinet/lib/python3.9/site-packages/py_sod_metrics/sod_metrics.py", line 23, in _prepare_data pred = pred / 255 TypeError: unsupported operand type(s) for /: 'NoneType' and 'int'

It maybe not generate the predict image before eval it? What's wrong with this error?

If you want to generate images for testing, please run etest.py. The eval.py is used to calculate evaluation indicators. Before running eval.py, make sure that there are images in pre_root.

[WkangLiu]

Thanks!
This is an oversight on my part.

[thograce]

Thanks! This is an oversight on my part.

By the way, you can download my test result image directly from pre-computed maps of BGNet, and then run eval.py.