Comments (5)
Maybe there are some mistakes in the data.
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@yuto3o
Thankfully i could manage to find the issue with my data, but unfortunately now while training, as mentioned by other users, for all epochs i get the massage "AP not improved from 0.00%" and the best loss is 12. it happens whether using pre-trained weights or not. i could not find the solution by reading those discussions. i really appreciate it if you could help.
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It is not a simple question. Instead of using default config, please try more hyperparameters.
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@yuto3o
Thanks again, i changed some hyperparameters and could reach AP of 35%, but i had reached AP of 60% using Alexey AB repository by changing it's config according to it's guiding based on number of classes with the same amount of data, but your code's configs file is different and i wasn't able to do so. would you please provide some help on how to set the hyperparameters according to our number of classes in order to achieve the best result with your code.
Thanks
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Yep, this repo does not guarantee the same behavior as Alexey's repo do. Maybe you can use hyperparameter searching toolkit like https://github.com/scikit-optimize/scikit-optimize.
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Related Issues (19)
- Getting Error while executing yolo_utils.non_max_suppression(predictions) HOT 1
- AP is not improved!!! HOT 1
- yolox initial weight HOT 3
- conv2d_17_loss 和conv2d_20_loss HOT 1
- convert weights to .h5 HOT 2
- Reason for calling fit thrice in train.py HOT 4
- GPU usage HOT 1
- backbone yolov4 HOT 3
- Handling non-square images HOT 2
- Does your code support all the functions of yolov4 and can it train normally ? HOT 3
- where do I find ./ckpts/yolov4.weights
- yolov4-tiny pretrained model? HOT 1
- train.py not working HOT 4
- 利用单gpu训练,速度很慢,GPU利用率很低,CPU经常跑满 HOT 3
- train error!!!!! HOT 2
- 通过关闭cfg中的数据增强手段和减小epch大小 确实加快了训练速度 但map值却一直没有上涨 HOT 3
- Transform Model to Real_Time: Serialize Model HOT 1
- Weights file used in the implementation HOT 7
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