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ruhyadi / YOLO3D

YOLO 3D Object Detection for Autonomous Driving Vehicle
https://ruhyadi.github.io/project/computer-vision/yolo3d
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3d inference result problem #25

Open TowerPro opened 9 months ago

TowerPro commented 9 months ago

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 https://github.com/ruhyadi/YOLO3D/issues/13

LordonCN commented 9 months ago

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

TowerPro commented 9 months ago

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 commented 5 months ago

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