Comments (2)
256 features, because of yolov5n.
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Hi! Sorry for the late reply due to the CVPR rebuttal. Could you please provide the error with log? I think a potential modification exists in the Ranker (nn.Model) that needs to specify the output dimension. In this codebase, I set the number corresponding to YOLOv5 X by default.
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Related Issues (15)
- missing train_MMD and loss HOT 2
- val data HOT 1
- The MMD_distance in train.py is not used HOT 1
- code for extracting object level features HOT 1
- 代码配置中的layer4,layer6,layer9是什么意思? HOT 5
- env HOT 1
- Question: stop gradient HOT 4
- cannot acces the dataset HOT 5
- minimum gpu memory requird and runtime error while running YOLOs, YOLOm, YOLOl HOT 2
- How to select images for the few shot settings in cityscapes_foggy dataset HOT 1
- there are always the same issue,when i run train.py in different gpu HOT 17
- Expected training time? HOT 3
- without train_MMD.py HOT 18
- Performance on cityscapes to foggy cityscapes HOT 4
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