RTM3D
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Unofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)
hello,the data organization doesn't show in readme.md. Would you please update the data organization part? 
hey,guy,can u share your pre-trained weights? my email:[email protected]
When I test model: Error(s) in loading state_dict for PoseResNet: Missing key(s) ... ... Unexpected key(s) ... ... What should I do to solve this problem?
hey,guy why can't you provide a pretrained weight?
Hi, @maudzung In RTM3D paper, the author use center point of 3D bbox. However, in this repo it seems to only calculate the loss of center offset, why not add...
Wonder why need to add config.subdivisions to the training process? could you please explain how does it work ?
I wonder if FPN structure is not used in this network model? How does the model solve the problem of occlusion? Thanks a lot.
i can not find that.
If so, can you provide a pretrained model?
hi, guys, thanks for your great job, I want to make a video test with pre-trained model, so when will you release it or have any other plans, thanks much