Comments (2)
Yes you can test it using a point cloud stored in a bin file. To do it cleanly you can modify the test.py and dataloader to only use Lidar data. A more hacky solution is to create another folder with the same directory structure as kitti, copy any kitti image and rename it to the same serial id as your custom point clouds id, put this id in the ImageSets/test.txt
, update the configs.dataset_dir
in the test.py
and you should see some detections using this command python test.py --gpu_idx 0 --pretrained_path your_path/Model_complexer_yolo_epoch_200.pth --show_image
. The results don't seem great though (at least for me since I don't use velodyne data).
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I tried that too, but failed. Anyone know? @maudzung
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Related Issues (20)
- Can i get the trained models for this model?
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- AP for Hard, medium and easy
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- How to show outputs in forms other than BEV? HOT 2
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- Mayavi file dependencies problem
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- [INFO] No error, the convolution haven't activate linear
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- Error running test.py HOT 1
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