OpenPCSeg
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OpenPCSeg: Open Source Point Cloud Segmentation Toolbox and Benchmark
Hi Team, I now want to learn how to use the OpenSeg open source toolbox, and I am currently trying to use the Rangnet++ algorithm in the toolbox for training,...
nuscenes
Hello, when will the code related to training and testing on nuscenes be published
Hello! I encountered an error while running the training file: (pcseg) root@9e1fedc6ce4f :/workspace/data/OpenPCSeg master # Python train. py -- cfg_file tools/cfgs/voxel/semantic_kitti/inkunt_mk34_cr10. yaml 2024-04-16 11:44:23277 INFO ********************************** Start logging********************** 2024-04-16 11:44:23277...
` _, inds, inverse_map = sparse_quantize(pc_, return_index=True, return_inverse=True) if self.training and len(inds) > self.num_points: # NOTE: num_points must always bigger than self.num_points raise RuntimeError('droping point') inds = np.random.choice(inds, self.num_points, replace=False)`...
Hi team, Can you please test the RPVNet pretrained model I imported it and use the same config but there is an error as below:  The environment is the...
I have trained a model and got the weights, how should I test it on the semantickitti test set (sequences 11-21) to get the prediction result file for each point?
wrong dimensions
according to your paper, lr is set to 0.12. Is it too large? And what is the batch size with lr 0.12?