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Hello I am facing following error when I tried to train the model using custom dataset that has 5 classes. I know the error below would majorly occur because of difference in num_classes, but not sure…
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### Feature request
I am having a difficult time managing different bounding box formats in this library. For example, the DETR model preprocessor input format is COCO (xywh), but the output of the…
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**Describe the bug**
After fixing lr, I ran the DETR training but it seems loss didn't decrease at all.
I know DETR convergence is so slow, but is this loss behavior natural?
**To Reproduce**
ru…
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![L0F}GEC0ABM%P`0HI@ J{BC](https://user-images.githubusercontent.com/44053847/212519918-4d7bdfab-f12f-44bf-95dd-0a2cc09614a1.png)
B导过年好,我抽取了VOC数据集中的4个类,用这个数据集训练过其他检测器都没有问题,但您DETR报了这个错,请问是什么问题呀
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I am seeing the following error messager on 1.4 branch.
```
+ set -e
++ jq -r .diff config.json
+ DIFF=../5fb339585079852dfbdaf4e5/output/dwi.nii.gz
++ jq -r .bval config.json
+ BVAL=../5fb339…
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在哪可以设置只保存最终最优模型文件啊,就像yolov8只保存last.pt和best.pt,现在每epoch都会保存一个快700M的pth文件,epoch默认72,硬盘没那么大地方,作者能说说在哪设置不,我把配置文件里选项看完了,没发现。
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Thanks for this great work!
I noticed the loss functions adopted are dependent on **no_obj**. Could you please explain when **no_obj** is true and why the loss functions are dependent on it?
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I'm sorry to bother you. I found that bf=0 sharebf=1 in the deformable detr batchformerv2 main.py, while bf=1 sharebf=0 in the command line in the readme file.
If I want to use batchformerv2, which o…
cbn3 updated
11 months ago
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Training (IMPORTANT)
Prepare Faster-RCNN Detector
You can download the pretrained DETR on ResNet-101 we used in the paper:
[VG]
[OIv6]
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Then,** you need to modify the pre-trained wei…