You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi,
Thanks for your great work but I really confuse when looking at your config files in DetectorS htc in v2 of mmdetection. In mmv2, you inherited htc_r50_fpn and it have FusedSemanticHead with 183 classes. Why it 183 classes? if i want to use you cfg file with one class i can change it to 1 ?
The text was updated successfully, but these errors were encountered:
HTC has an additinoal semantic segmentation branch, hence 183 classes. You can set base to htc_without_semantic_r50_fpn_1x_coco.py which doesn't require those 183 classes.
@joe-siyuan-qiao
hi,
i use mmdetection2 with detectors resnext 101 and train from scratch (no pretrained) but I got nothing, loss value is quite good ( i had set grad clip with ) but testing result is always nothing. I have try cascade fastercnn x101 and the result is quite good. Most of objects in my dataset account for a small area in picture. How can i deal with it?
Hi,
Thanks for your great work but I really confuse when looking at your config files in DetectorS htc in v2 of mmdetection. In mmv2, you inherited htc_r50_fpn and it have FusedSemanticHead with 183 classes. Why it 183 classes? if i want to use you cfg file with one class i can change it to 1 ?
The text was updated successfully, but these errors were encountered: