Azadeh Ashouri

@danielcrane Many thanks. I replaced the CLASSES part in https://github.com/WXinlong/SOLO/blob/master/mmdet/datasets/coco.py with CLASSES=('bird'), but it doesn't work and I got the "person" label again :((

@danielcrane I also changed these lines in test.py,test_ins_vis.py and test_ins.py( because of single-gpu testing ) into : if 'CLASSES' in checkpoint['meta']: model.CLASSES = 'bird' else: model.CLASSES = 'bird' It doesn't...

@danielcrane SO many thanks :)))) Your last suggestion works for me and I use the hardcode option . Thank you

@danielcrane Yes, I had the same issue. Actually, when I set num_classes = 1 in solo_r50_fpn_8gpu_1x.py , I got an error at the first of the training process .So I...

Hi, I have the same problem. Did you solve it? @LiangYong1216

@danielcrane Excuse me. Do you have any idea about this problem, too? I'm sorry for bothering you.

> > > No idea I'm afraid, only ever tried on GPU! Thanks for your reply

> Hi, @SinDongHwan > > Tks very much for your response. Now I'm able to create my own summary video. Tks for helping me with my problem

Actually I installed compatible cuDNN with cuda too and set the PATH in my bashrc but I got that error. Is there any solution to solve this error? Many thanks.

> ``` > sudo apt install libnccl-dev libnccl2 > ``` > > and you can try build MXNet from source Thanks for your response. Unfortunately when I use this command...