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Unofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)

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It should be `argmin` instead of `argmax` in the formula _**(7)**_ This part can be solved by using the [g2opy library](https://github.com/uoip/g2opy). Welcome to contribute to the implementation of this part!...

help wanted
contributions welcome

Monocular 3D depends on camera parameters. If you change a different camera or installation method, the original DataSet training model will not work. So how can you solve this difference

Nice job, can you tell me how to train custom dataset with RTM3D ? thanks!

I have trained this model and try to show detection result on image. The 2D bounding box seems grate but 3D bounding box looks so bad. I just draw 8...

Hi, Can you please share the pretrained weights. Thanks, Harel

There is an old problem of mis-implementation of the [CornetNet](https://github.com/princeton-vl/CornerNet). And "has been fixed" in CenterNet [https://github.com/Duankaiwen/CenterNet/issues/47](https://github.com/Duankaiwen/CenterNet/issues/47). This repo, by default, makes ground truth heatmap following CenterNet who follows CornerNet....

Can you tell me how you visualize live video?

Hello author, can you provide your pre-training weights and evaluate.py files? This is my email ——[email protected] , thank you very much!

Hi, your project RTM3D(commit id: 0bd3868a03f071244b2fed9ca1828298f5a96180) requires "albumentations==0.4.5" in its dependency. After analyzing the source code, we found that the following versions of albumentations can also be suitable, i.e., albumentations...