YOLOv6
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segmentation confusion matrix for all classes when run evaluation on test set and validation set
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[X] I have read the README carefully. 我已经仔细阅读了README上的操作指引。
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[X] I want to train my custom dataset, and I have read the tutorials for training your custom data carefully and organize my dataset correctly; (FYI: We recommand you to apply the config files of xx_finetune.py.) 我想训练自定义数据集,我已经仔细阅读了训练自定义数据的教程,以及按照正确的目录结构存放数据集。(FYI: 我们推荐使用xx_finetune.py等配置文件训练自定义数据集。)
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[X] I have pulled the latest code of main branch to run again and the problem still existed. 我已经拉取了主分支上最新的代码,重新运行之后,问题仍不能解决。
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Question
how to print confusion for all classes not just print all Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95) all 1623 7628 0.80948 0.8051 0.84518 0.71888 0.81388 0.79858 0.83438 0.65959 class A class B class C
Additional
No response
Hi @sulaiman1988 , you could try to add --verbose
when run evaluation.