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The official code release of LidarMTL, a simple and efficient multi-task network for 3D object detection and road understanding

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[log_eval_20240412-102834.txt](https://github.com/frankfengdi/LidarMTL/files/14953598/log_eval_20240412-102834.txt)

File "/home/robosense/anaconda3/envs/lidarmtl/lib/python3.8/site-packages/spconv/ops.py", line 91, in get_indice_pairs res = torch.ops.spconv.get_indice_pairs(indices, batch_size, out_shape, ValueError: /home/robosense/BR/LidarMTL-main/spconv-1.2.1/src/spconv/spconv_ops.cc 87 unknown device type

Hi I tried the code but the results that I have got doesnt match with yours Car [email protected], 0.70, 0.70: bbox AP:31.3119, 29.9161, 11.5392 bev AP:30.3763, 26.2499, 7.4607 3d AP:22.4887,...

I am getting this error when I run the test file Traceback (most recent call last): File "tools/test.py", line 211, in main() File "tools/test.py", line 207, in main eval_single_ckpt(model, test_loader,...

Hi Frank, I wish to implement this with CLOC fusion for which I need only the detection head. Can I train it using argoverse_dataset_kitti_format.py and its config file for object...