Inference
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MonoCon
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Add more checkpoints and logs

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xp 2023-06-23 20:54:55 -04:00
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@ -123,12 +123,20 @@ CUDA_VISIBLE_DEVICES=0 python ./tools/train.py configs/monocon/monocon_dla34_20
CUDA_VISIBLE_DEVICES=0 python ./tools/test.py configs/monocon/monocon_dla34_inference_200e_kitti.py ./work_dirs/ur_ckpt_location --eval bbox
```
We provide pre-trained checkpoints. MonoDLE*'s model, config and pretrained weight will be released soon.
See the below table to check the performance. (Inference speed is tested on Nvidia 2080Ti)
We provide pre-trained checkpoints. MonoDLE*'s model, config and pretrained weight will be released soon. See the below table to check the performance. (Inference speed is tested on Nvidia 2080Ti)
| | AP40@Easy | AP40@Mod. | AP40@Hard | FPS | Link |
\[Update 06/23]: We have updated more checkpoints and training logs of MonoCon for the purpose of supporting reproducible research.
| | AP40@Easy | AP40@Mod. | AP40@Hard | FPS/log | Link |
| ------- | --------- |-----------|-----------|-----|-----------|
| MonoCon | 26.33 | 19.03 | 16.00 | 40 | [Model](https://drive.google.com/file/d/1XOTGfehtT8Vnvhk2dvwEZAiW9gVlS1_M/view?usp=sharing) |
| MonoCon (paper) | **26.33** | 19.03 | 16.00 | 40 | [Model](https://drive.google.com/file/d/1XOTGfehtT8Vnvhk2dvwEZAiW9gVlS1_M/view?usp=sharing) |
| MonoCon (reproduced #1) | 25.09 | 18.91 | 15.99 | [Log1](https://drive.google.com/file/d/1m4iGuJqx8FS7vXb_gZzgMbtsPpXSdu1g/view?usp=sharing) | [Model](https://drive.google.com/file/d/1fz0WyH7OutXQvm6kYKEgzj3LVn6JvdUc/view?usp=sharing) |
| MonoCon (reproduced #2) | 25.99 | 18.98 | **16.13** | [Log2](https://drive.google.com/file/d/1PKcUSNpZJwN6IxpYSnjJWXteLhQ8R-zn/view?usp=sharing) | [Model](https://drive.google.com/file/d/1D-4KqRbFgj6fun7N_j3NialqKIbMeprT/view?usp=sharing) |
| MonoCon (reproduced #3) | 25.86 | 18.78 | 16.00 | [Log3](https://drive.google.com/file/d/1PMGGRH9KrbewLECYymoNSh5lGrI3M7-u/view?usp=sharing) | [Model](https://drive.google.com/file/d/1CMpj4eiwfEun_0yaLChTUkbHybFH7xBI/view?usp=sharing) |
| MonoCon (reproduced #4) | 25.21 | 18.74 | 15.87 | [Log4](https://drive.google.com/file/d/1SE_eFrPHfXCGctIUHicKRxOi9PTiycx8/view?usp=sharing) | [Model](https://drive.google.com/file/d/1wF7Riwl7GnJ3fOyKDX5-W_1DBo9Wu2aa/view?usp=sharing) |
| MonoCon (reproduced #5) | 25.92 | **19.08** | 16.03 | [Log5](https://drive.google.com/file/d/1raRPfLihKRgmbVWKUUGcR-Jo9-8ki5ht/view?usp=sharing) | [Model](https://drive.google.com/file/d/105A0LnN5jQrhzio7tBCd3pwVc2moN3DA/view?usp=sharing) |
| Average | 25.74 | 18.92 | 16.00 | - | - |
## License
@ -166,6 +174,10 @@ This repo benefits from awesome works of [mmdetection](https://github.com/open-m
[MonoFlex](https://github.com/zhangyp15/MonoFlex),
[RTM3D](https://github.com/Banconxuan/RTM3D). Please also consider citing them.
## Related Links
\[Update 06/23]: Here are some reproduced version on MonoCon: [monocon-pytorch](https://github.com/2gunsu/monocon-pytorch), [MonoDetector](https://github.com/zhangcheng828/MonoDetector).
## Contact
If you have any question about this project, please feel free to contact [xliu59@ncsu.edu](xliu59@ncsu.edu)