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 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. 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)
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 ## License
@ -166,6 +174,10 @@ This repo benefits from awesome works of [mmdetection](https://github.com/open-m
[MonoFlex](https://github.com/zhangyp15/MonoFlex), [MonoFlex](https://github.com/zhangyp15/MonoFlex),
[RTM3D](https://github.com/Banconxuan/RTM3D). Please also consider citing them. [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 ## Contact
If you have any question about this project, please feel free to contact [xliu59@ncsu.edu](xliu59@ncsu.edu) If you have any question about this project, please feel free to contact [xliu59@ncsu.edu](xliu59@ncsu.edu)