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3d inference result problem #25

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TowerPro opened this issue Dec 7, 2023 · 3 comments
Open

3d inference result problem #25

TowerPro opened this issue Dec 7, 2023 · 3 comments

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@TowerPro
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TowerPro commented Dec 7, 2023

i have rewrite the code to CPP so the YOLO3D can runs on nVidia Jetson NX Xavier, but in the car class, sometimes the inference result is not good, I think this problem is caused by least squares linear regression(numpy api: np.linalg.lstsq in Math.py), is there any better algorithms to improve this problem? or if is necessary to change the cam_to_file(camera calib file) to my own camera?

the result is same as #13

@LordonCN
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LordonCN commented Dec 7, 2023

Did u use your own datasets to train it? Actually it works well in my device.

@TowerPro
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TowerPro commented Dec 8, 2023

Did u use your own datasets to train it? Actually it works well in my device.

I have trained on Kitti Dataset with resnet18, I will try VGG16 instead

@upper127
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I'm using resnet to reason about the 3d bounding box doesn't seem to work very well, the bounding box is all deformed

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