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Hi there,
sorry for a newbie question, but I can't find the answer anywhere. Could anyone advise me how to load a RT-DETR model from .pth checkpoint file for use in object detection? In the README …
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使用paddle detection最新发布的rt-detr训练模型,map一直为0,确认数据…
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pth转换为onnx,用官方的代码转,并且测试是正确。但是onnx转换为trt,用的是tensorRT8.6.1,转换没有问题,但是推理出现box坐标是特别大的值,标签和得分是正确的。
D:\tool\TensorRT-8.6.1.6.Windows10.x86_64.cuda-11.8\TensorRT-8.6.1.6\bin\trtexec.exe --onnx=model.onnx --w…
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- [onnxruntime](https://github.com/lyuwenyu/RT-DETR/blob/main/rtdetr_pytorch/tools/export_onnx.py#L84-L122)
- [TensorRT](https://github.com/lyuwenyu/RT-DETR/blob/main/benchmark/trtinfer.py)
- [RT-DE…
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### Model description
The paper "DETRs Beat YOLOs on Real-time Object Detection" proposes a Real-Time DEtection TRansformer (RT-Detr), a hybrid encoder and a transformer decoder for object detection …
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I just started using RT-DETR.
The checkpoint of `rtdetrv2_r18vd_120e_coco_rerun_48.1.pth`
has around 77 MB, but after running this command,
`python tools/train.py -c configs/rtdetrv2/rtdetrv2_r18v…
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作者姐姐/哥哥,想问下,我在rt-detr中增加了一部分损失,刚开始可能我加的那部分损失比较大,训练1个epoch之后map只有一点多,之后我把我增加的那部分损失设置了0.1的权重,就是主要还是以rt-detr原本的损失为主,但是训练1个epoch之后,map还是只有一点多,请问用pytorch版本训练的话,训练1个epoch之后,map确实是1点多嘛?请作者姐姐/哥哥帮忙解答一下,谢谢。
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### 问题确认 Search before asking
- [X] 我已经查询[历史issue](https://github.com/PaddlePaddle/PaddleDetection/issues),没有发现相似的bug。I have searched the [issues](https://github.com/PaddlePaddle/PaddleDetection/issu…
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请教下,v2版本使用的不同采样点设置是怎样的,在config中未找到不同采样点个数的设置,好像还是一样的设置