precision, oa, recall, etc... are all the same of every category

[huntkao]

The metrics of every category are all the same in test_score.txt.
My arguments:
--net_cfg SViT_E1_D1_32 --train_cfg CDNet_2014 --save_changemap True

I cropped some below:
Category:badWeather,precision:0.9654355468223322,oa:0.8092331883428242,recall:0.1367026792675585,f1:0.23949377961693205,kappa:0.19565049499554038
Category:baseline,precision:0.9654355468223322,oa:0.8092331883428242,recall:0.1367026792675585,f1:0.23949377961693205,kappa:0.19565049499554038
Category:cameraJitter,precision:0.9654355468223322,oa:0.8092331883428242,recall:0.1367026792675585,f1:0.23949377961693205,kappa:0.19565049499554038
Category:dynamicBackground,precision:0.9654355468223322,oa:0.8092331883428242,recall:0.1367026792675585,f1:0.23949377961693205,kappa:0.19565049499554038
Category:intermittentObjectMotion,precision:0.9654355468223322,oa:0.8092331883428242,recall:0.1367026792675585,f1:0.23949377961693205,kappa: 0.19565049499554038

[huntkao]

I mean, for example, precision for badWeather, baseline, cameraJitter, ... are all 0.965435 ?

[wangle53]

test.py line 39 should be 'test_data = OSCD_TEST(test_dir, tcfg.path['dataset'], tcfg.im_size, tcfg.dataset_name)'