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### 问题确认 Search before asking
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### Search before asking
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I run program like this, but I got an error.
```
./pointpillar ../data/ ./out
GPU has cuda devices: 1
----device id: 0 info----
GPU : GeForce RTX 2070
Capbility: 7.5
Global memory: 797…
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When I run with one GPU, it shows that the model does not match。
here is the log
unexpected key in source state_dict: img_rpn_head.rpn_conv.weight, img_rpn_head.rpn_conv.bias, img_rpn_head.rpn_cls.w…
ulisb updated
1 month ago
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Hi~Thanks for your great works!
In your codes, the backbones are trained on GenImage, applying CNNSpot's earlystop training strategy.
But according to your paper on openreview.net, they are trained …
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Hello Thank you for your great work, I want to train OSTrack on the LASOT dataset.
When I want to train, by the command below:
`python tracking/train.py --script ostrack --config vitb_256_mae_32x4_…
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```
Regarding the instruction mentioned in the README, “bash bash/train_single.sh thermal”, to train the FLIR thermal single modality object detector, I have utilized the resulting model_best.pth…
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Hi, Thank you for your great work! I would like to know if MS-Diffusion can be adapted to faster SDXL backbones (e.g. SDXL-Turbo) without additional training?
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It has been noticed that the 3.1 pipeline efficiency suffers from speaker embedding inference. With the default config, every 10s chunk has to undergo inference **3 times** by the embedding model. It …
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### Search before asking
- [ ] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…