bxiang233
commented
7 months ago when I tried to run eval.py based on the PointGroup-PAPER.pt you provided, a mistake happened: (treeins) (base) root@d8fc5cfcc777:/home/ForAINet-main/PointCloudSegmentation# python eval.py /opt/conda/envs/treeins/lib/python3.8/site-packages/MinkowskiEngine/init.py:36: UserWarning: The environment variable
OMP_NUM_THREADSnot set. MinkowskiEngine will automatically setOMP_NUM_THREADS=16. If you want to setOMP_NUM_THREADSmanually, please export it on the command line before running a python script. e.g.export OMP_NUM_THREADS=12; python your_program.py. It is recommended to set it below 24. warnings.warn( [2024-04-22 10:32:56,977][torch_points3d.trainer][INFO] - DEVICE : cuda [2024-04-22 10:33:09,479][torch_points3d.metrics.model_checkpoint][INFO] - Loading checkpoint from /home/ForAINet-main/PointCloudSegmentation/checkpoint/PointGroup-PAPER.pt Traceback (most recent call last): File "eval.py", line 13, in main trainer = Trainer(cfg) File "/home/ForAINet-main/PointCloudSegmentation/torch_points3d/trainer.py", line 48, in init self._initialize_trainer() File "/home/ForAINet-main/PointCloudSegmentation/torch_points3d/trainer.py", line 90, in _initialize_trainer self._dataset: BaseDataset = instantiate_dataset(self._checkpoint.data_config) File "/home/ForAINet-main/PointCloudSegmentation/torch_points3d/datasets/dataset_factory.py", line 46, in instantiate_dataset dataset = dataset_cls(dataset_config) File "/home/ForAINet-main/PointCloudSegmentation/torch_points3d/datasets/panoptic/treeins.py", line 629, in init self.test_dataset = dataset_cls( File "/home/ForAINet-main/PointCloudSegmentation/torch_points3d/datasets/segmentation/treeins.py", line 491, in init super().init(root, grid_size, *args, kwargs) File "/home/ForAINet-main/PointCloudSegmentation/torch_points3d/datasets/segmentation/treeins.py", line 187, in init super(TreeinsOriginalFused, self).init(root, transform, pre_transform, pre_filter) File "/opt/conda/envs/treeins/lib/python3.8/site-packages/torch_geometric/data/in_memory_dataset.py", line 60, in init super().init(root, transform, pre_transform, pre_filter) File "/opt/conda/envs/treeins/lib/python3.8/site-packages/torch_geometric/data/dataset.py", line 83, in init** self._download() File "/opt/conda/envs/treeins/lib/python3.8/site-packages/torch_geometric/data/dataset.py", line 140, in _download self.download() File "/home/ForAINet-main/PointCloudSegmentation/torch_points3d/datasets/panoptic/treeins.py", line 562, in download super().download() File "/home/ForAINet-main/PointCloudSegmentation/torch_points3d/datasets/segmentation/treeins.py", line 517, in download super().download() File "/opt/conda/envs/treeins/lib/python3.8/site-packages/torch_geometric/data/in_memory_dataset.py", line 50, in download raise NotImplementedError NotImplementedError I downloaded the FOR-instance dataset and placed it in the correct location ,but I still get this issue, how did you fix it?
Hi, sorry for the late reply. Could you have a look at this issue? Hope it helps: https://github.com/prs-eth/PanopticSegForLargeScalePointCloud/issues/10#issuecomment-2091561194
WangLuo01
你好，在更改路径后能运行了，但是会出现这样的情况，想知道我这样是对的嘛？如果等这个过程大概要等多久呢
hunanghuan03
when I tried to run eval.py based on the PointGroup-PAPER.pt you provided, a mistake happened: (treeins) (base) root@d8fc5cfcc777:/home/ForAINet-main/PointCloudSegmentation# python eval.py /opt/conda/envs/treeins/lib/python3.8/site-packages/MinkowskiEngine/init.py:36: UserWarning: The environment variable
OMP_NUM_THREADSnot set. MinkowskiEngine will automatically setOMP_NUM_THREADS=16. If you want to setOMP_NUM_THREADSmanually, please export it on the command line before running a python script. e.g.export OMP_NUM_THREADS=12; python your_program.py. It is recommended to set it below 24. warnings.warn( [2024-04-22 10:32:56,977][torch_points3d.trainer][INFO] - DEVICE : cuda [2024-04-22 10:33:09,479][torch_points3d.metrics.model_checkpoint][INFO] - Loading checkpoint from /home/ForAINet-main/PointCloudSegmentation/checkpoint/PointGroup-PAPER.pt Traceback (most recent call last): File "eval.py", line 13, in main trainer = Trainer(cfg) File "/home/ForAINet-main/PointCloudSegmentation/torch_points3d/trainer.py", line 48, in init self._initialize_trainer() File "/home/ForAINet-main/PointCloudSegmentation/torch_points3d/trainer.py", line 90, in _initialize_trainer self._dataset: BaseDataset = instantiate_dataset(self._checkpoint.data_config) File "/home/ForAINet-main/PointCloudSegmentation/torch_points3d/datasets/dataset_factory.py", line 46, in instantiate_dataset dataset = dataset_cls(dataset_config) File "/home/ForAINet-main/PointCloudSegmentation/torch_points3d/datasets/panoptic/treeins.py", line 629, in init self.test_dataset = dataset_cls( File "/home/ForAINet-main/PointCloudSegmentation/torch_points3d/datasets/segmentation/treeins.py", line 491, in init super().init(root, grid_size, *args, **kwargs) File "/home/ForAINet-main/PointCloudSegmentation/torch_points3d/datasets/segmentation/treeins.py", line 187, in init super(TreeinsOriginalFused, self).init(root, transform, pre_transform, pre_filter) File "/opt/conda/envs/treeins/lib/python3.8/site-packages/torch_geometric/data/in_memory_dataset.py", line 60, in init super().init(root, transform, pre_transform, pre_filter) File "/opt/conda/envs/treeins/lib/python3.8/site-packages/torch_geometric/data/dataset.py", line 83, in init self._download() File "/opt/conda/envs/treeins/lib/python3.8/site-packages/torch_geometric/data/dataset.py", line 140, in _download self.download() File "/home/ForAINet-main/PointCloudSegmentation/torch_points3d/datasets/panoptic/treeins.py", line 562, in download super().download() File "/home/ForAINet-main/PointCloudSegmentation/torch_points3d/datasets/segmentation/treeins.py", line 517, in download super().download() File "/opt/conda/envs/treeins/lib/python3.8/site-packages/torch_geometric/data/in_memory_dataset.py", line 50, in download raise NotImplementedError NotImplementedError I downloaded the FOR-instance dataset and placed it in the correct location ,but I still get this issue, how did you fix it?