Comments (1)
你这个应该出现一些问题了,使用yolox branch的代码得到的log大致可以参考
Epoch [1][50/1849] lr: 2.925e-07, eta: 17 days, 2:28:35, time: 2.664, data_time: 1.903, memory: 9946, loss_cls: 2.0511, loss_bbox: 4.7169, loss_obj: 11.7385, loss_fgd_fpn_0: 15.9534, loss_fgd_fpn_1: 9.7314, loss_fgd_fpn_2: 6.5291, loss: 50.7204
Epoch [1][100/1849] lr: 1.170e-06, eta: 10 days, 20:47:49, time: 0.722, data_time: 0.026, memory: 12614, loss_cls: 2.0771, loss_bbox: 4.7238, loss_obj: 11.6882, loss_fgd_fpn_0: 14.1922, loss_fgd_fpn_1: 8.0897, loss_fgd_fpn_2: 5.2241, loss: 45.9950
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Related Issues (20)
- Should I change the mmdet/detectors/base.py when I train yolox? HOT 1
- Why the mAP is 0 when train myself data? HOT 1
- The model and loaded state dict do not match exactly HOT 2
- 为什么我运行的时候总提示 the model and loaded state dict do not match exactly? HOT 2
- mAP为0 HOT 17
- Cascadercnn-resnet50蒸馏18,loss_fgd_fpn_0太大(第一张图) HOT 10
- Add DCN HOT 5
- The cfg distillation for yoloxl_m HOT 2
- Using fgd_retina_r101_fpn_2x_distill_retina_r50_fpn_2x_coco.py to find retina_ R50 distillation result AP is 37.3%? HOT 1
- Why does inference slow down with weights generated by FGD? HOT 1
- How Can I install mmdet 2.11.0 while its latest version is 2.28.1? HOT 1
- no module named 'mmdet.distillation' HOT 1
- Whether additional monitoring training is required for gc-block? HOT 2
- The pre-trained model for Solo_r101_3x.pth HOT 1
- 1 HOT 1
- ConfigDict has no attribute "model" HOT 6
- 请问作者有在yolov5上实现效果吗 HOT 2
- Welcome update to OpenMMLab 2.0
- hello,I want to ask a question about yolox distillation HOT 7
- KeyError: 'neck.fpn_convs.4.conv'
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from fgd.