Comments (5)
ShoufaChen
commented on September 24, 2024
Hi,
Can you get the strictly same results when evaluate twice on your machine?
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cocoshe
commented on September 24, 2024
Hi,
Can you get the strictly same results when evaluate twice on your machine?
Yes, I run the command twice with same setting, and get same results.
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ShoufaChen
commented on September 24, 2024
May I know your system and detectron2 version (git commit tag)?
It seems that you got higher results than ours in most cases. I am sorry that I can't reproduce your results on my machine.
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cocoshe
commented on September 24, 2024
May I know your system and detectron2 version (git commit tag)?
It seems that you got higher results than ours in most cases. I am sorry that I can't reproduce your results on my machine.
detectron2 version should be 0.6, I build it from source.
and GPU is v100 32G, only one gpu device.
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BIGWangYuDong
commented on September 24, 2024
During inference time, DiffusionDet will randomly generate noisy boxes, which may affect the AP results.
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Related Issues (20)
- ap=0
- why the dataset only split to train and test? HOT 2
- Detectron's version of cuda
- Questions on box renewal
- 使用提供的训练模型做eval只有32mAP
- train on my datasets,adjust the value of thread
- 复现问题
- RuntimeError: nvrtc: error: invalid value for --gpu-architecture (-arch) ON RTX4090
- random seed 为什么固定了随机种子和参数后，模型的预测框测试出来都一样
- coco dataset
- pre-trained models
- AP is nan
- evaluator
- Used Multi gpus but takes same time with 1 gpu training
- bbox=0
- Too many boxes when using demo.py with --video-input video.mp4
- why the eval result is 0?
- 为什么推理结果为0？
- ddim中对于time生成的程序语句似乎不对？
- Prepare datasets HOT 1
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