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Thank you for a great work!
1. Could you please share the DEYO CrowdHuman weights and training config?
2. Have you compared DEYO vs RTDETR performance on the CrowdHuman dataset? I have only notice…
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在单独进行模型验证时,yolov5、yolov8等yolo系列模型在验证时可以设置iou和conf的阈值,不用阈值下的验证结果略有差异。我注意到DEYO与yolov8的代码结构大致相同,在单独验证时也可以设置iou和conf,但是我在训练自己的数据集后,运行model.val()并设置iou和conf,发现设置iou=0.5和iou=0.7的验证结果完全相同,请问作者是什么原因呢?DEYO的验证结…
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请问作者怎么使用pycocotools对模型进行验证?有没有生成groud truth和predictions的json的代码呢?
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@ouyanghaodong
![training output screenshot1](https://github.com/user-attachments/assets/60bde797-29ae-4af0-9353-9a7a2dbca131)
![training output screenshot2](https://github.com/user-attachments/a…
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Hi there,
Thank your for your great source code. Cause published paper only compared DEYO with yolov7 L/X, so how about others version (yolov7 tiny)?
thanks.
dattv updated
6 months ago
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Please,Where to download the DEYO-tiny. pt during training.
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I tried training in two phases using your method. In the first phase, I trained the custom dataset from scratch. In the second phase, I finetuned the custom dataset, but the mAP dropped by nearly 15% …
twmht updated
1 month ago
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RuntimeError: expected scalar type Long but found Float
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we are at the point now that I can impute a variable and start making comparisons across different methods (number matching variables, how strict the inclusion/exclusion should be, etc).
are we stic…
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您好,很感谢您的优秀工作,我在使用您的代码的时候遇到了一些问题,希望能得到您的解答。
- 在readme中提到根据修改配置文件yolov8-rtdetr.yaml来改变模型尺寸,请问具体是怎么修改呢?
- 通过`model=RTDETR("yolov8-rtdetr.yaml)`定义的模型层数为392层,参数量为4349784,梯度为4349768,浮点运算量为7.6GFLOPs。这个数据…