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Implementation for paper: "Detection of 3D bounding boxes of vehicles using perspective transformation for accurate speed measurement"

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can you please let me know how to test this repo on a video and estimate speed in visual form. like this picture ![Screenshot (59)](https://user-images.githubusercontent.com/63908294/125454107-21bf8960-9dac-4673-89d7-b7d6b433ba38.png)

Has anyone got the problem like this one? It took too long to utilize GPU and the output image is filled with random boxes, after only few frames, the program...

I commented lines 335-366 and uncommented lines 315-333, then ran dataset_utils/fromBrnoCompSpeed.py to produce the training data. NameError happens : name 'pkl_paths' is not defined.

Hi, I tried test.py and it performed well(output the video with 3D BBox). However, I can't find the visualized estimated speed for the detections, and I can't find the speed-related...

Hi, I am wondering what's the usage in track_detections function and test_dataset function in dataset_utils/test.py? And what is the difference between test_dataset function and test_video function. Thanks in advance?

Can you please tell me how did you evaluate your speed estimation algorithm with ground truth provided by BrnoSpeedDataset?