Comments (2)
hyz-xmaster
commented on August 11, 2024
Yes, most of your understanding is correct. When you train extra epochs for SWA, you need to specify the starting model using --cfg-options load_from argument. work_dir only specifies where you are going to save the checkpoints. One example is:
./tools/dist_train.sh configs/swa/swa_mask_rcnn_r101_fpn_2x_coco.py 8 --cfg-options load_from=mymodel/epoch_x.pth work_dir=xxxxxx
I think you can read instructions about how to use MMDetection to get more information.
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yushanshan05
commented on August 11, 2024
Thanks！
I ignore the load_from.
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Related Issues (18)
- Are there any comparisons on other parameters? such as mAP.5,mAP.75 and etc. HOT 1
- Mask RCNN save the best segm model HOT 5
- problem in get_swa_model.py HOT 1
- how to use of swa repo correctly HOT 6
- when i run only_swa_training i meet a error HOT 1
- Performance with other optimizer, such as Adam, AdamW HOT 4
- When I run Two-pahse mode I met error
- what's the difference between swa_epoch_xx.pth and swa_model_xx.pth? HOT 2
- swa_model_12.pth和swa_epoch_12.pth有什么区别吗？ HOT 1
- where is the circycle loss?
- 代码运用到自己的模型 HOT 5
- 理解问题 HOT 1
- question about BN fronze HOT 1
- Why setting step_up_ratio=0.0? HOT 1
- compare traditional training result with swa result at same epoch level HOT 3
- 可以使用VOC数据集做SWA训练吗 HOT 2
- ModuleNotFoundError: No module named 'mmdet' HOT 2
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