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VinAIResearch / ISBNet

ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution (CVPR 2023)
BSD 3-Clause "New" or "Revised" License
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segmentation fault (core dumped) #31

Closed Rolandxx7 closed 1 year ago

Rolandxx7 commented 1 year ago

Dear author @ngoductuanlhp ,

I use this command to train the model for the stpls3d dataset and load the pre-trained backbone in the config file: python tools/train.py --trainall --exp_name testtest1

However. I meet this problem after running the above command: 2023-08-11 14:39:56,588 - INFO - missing keys in source state_dict: point_aggregator1.mlp_module1.layer0.conv.weight, point_aggregator1.mlp_module1.layer0.bn.bn.weight, point_aggregator1.mlp_module1.layer0.bn.bn.bias, point_aggregator1.mlp_module1.layer0.bn.bn.running_mean, point_aggregator1.mlp_module1.layer0.bn.bn.running_var, point_aggregator1.mlp_module1.layer1.conv.weight, point_aggregator1.mlp_module1.layer1.bn.bn.weight, point_aggregator1.mlp_module1.layer1.bn.bn.bias, point_aggregator1.mlp_module1.layer1.bn.bn.running_mean, point_aggregator1.mlp_module1.layer1.bn.bn.running_var, point_aggregator1.mlp_module2.layer0.conv.weight, point_aggregator1.mlp_module2.layer0.bn.bn.weight, point_aggregator1.mlp_module2.layer0.bn.bn.bias, point_aggregator1.mlp_module2.layer0.bn.bn.running_mean, point_aggregator1.mlp_module2.layer0.bn.bn.running_var, point_aggregator1.mlp_module3.0.conv.weight, point_aggregator1.mlp_module3.0.bn.bn.weight, point_aggregator1.mlp_module3.0.bn.bn.bias, point_aggregator1.mlp_module3.0.bn.bn.running_mean, point_aggregator1.mlp_module3.0.bn.bn.running_var, point_aggregator1.mlp_module3.1.conv.weight, point_aggregator1.mlp_module3.1.bn.bn.weight, point_aggregator1.mlp_module3.1.bn.bn.bias, point_aggregator1.mlp_module3.1.bn.bn.running_mean, point_aggregator1.mlp_module3.1.bn.bn.running_var, point_aggregator2.mlp_module1.layer0.conv.weight, point_aggregator2.mlp_module1.layer0.bn.bn.weight, point_aggregator2.mlp_module1.layer0.bn.bn.bias, point_aggregator2.mlp_module1.layer0.bn.bn.running_mean, point_aggregator2.mlp_module1.layer0.bn.bn.running_var, point_aggregator2.mlp_module1.layer1.conv.weight, point_aggregator2.mlp_module1.layer1.bn.bn.weight, point_aggregator2.mlp_module1.layer1.bn.bn.bias, point_aggregator2.mlp_module1.layer1.bn.bn.running_mean, point_aggregator2.mlp_module1.layer1.bn.bn.running_var, point_aggregator2.mlp_module2.layer0.conv.weight, point_aggregator2.mlp_module2.layer0.bn.bn.weight, point_aggregator2.mlp_module2.layer0.bn.bn.bias, point_aggregator2.mlp_module2.layer0.bn.bn.running_mean, point_aggregator2.mlp_module2.layer0.bn.bn.running_var, point_aggregator2.mlp_module3.0.conv.weight, point_aggregator2.mlp_module3.0.bn.bn.weight, point_aggregator2.mlp_module3.0.bn.bn.bias, point_aggregator2.mlp_module3.0.bn.bn.running_mean, point_aggregator2.mlp_module3.0.bn.bn.running_var, point_aggregator2.mlp_module3.1.conv.weight, point_aggregator2.mlp_module3.1.bn.bn.weight, point_aggregator2.mlp_module3.1.bn.bn.bias, point_aggregator2.mlp_module3.1.bn.bn.running_mean, point_aggregator2.mlp_module3.1.bn.bn.running_var, inst_shared_mlp.layers.0.weight, inst_shared_mlp.layers.1.weight, inst_shared_mlp.layers.1.bias, inst_shared_mlp.layers.1.running_mean, inst_shared_mlp.layers.1.running_var, inst_shared_mlp.layers.3.weight, inst_shared_mlp.layers.3.bias, inst_shared_mlp.layers.4.weight, inst_shared_mlp.layers.4.bias, inst_shared_mlp.layers.4.running_mean, inst_shared_mlp.layers.4.running_var, inst_sem_head.layers.0.weight, inst_sem_head.layers.1.weight, inst_sem_head.layers.1.bias, inst_sem_head.layers.1.running_mean, inst_sem_head.layers.1.running_var, inst_sem_head.layers.3.weight, inst_sem_head.layers.4.weight, inst_sem_head.layers.4.bias, inst_sem_head.layers.4.running_mean, inst_sem_head.layers.4.running_var, inst_sem_head.layers.6.weight, inst_sem_head.layers.6.bias, inst_conf_head.layers.0.weight, inst_conf_head.layers.1.weight, inst_conf_head.layers.1.bias, inst_conf_head.layers.1.running_mean, inst_conf_head.layers.1.running_var, inst_conf_head.layers.3.weight, inst_conf_head.layers.4.weight, inst_conf_head.layers.4.bias, inst_conf_head.layers.4.running_mean, inst_conf_head.layers.4.running_var, inst_conf_head.layers.6.weight, inst_conf_head.layers.6.bias, inst_box_head.layers.0.weight, inst_box_head.layers.1.weight, inst_box_head.layers.1.bias, inst_box_head.layers.1.running_mean, inst_box_head.layers.1.running_var, inst_box_head.layers.3.weight, inst_box_head.layers.4.weight, inst_box_head.layers.4.bias, inst_box_head.layers.4.running_mean, inst_box_head.layers.4.running_var, inst_box_head.layers.6.weight, inst_box_head.layers.6.bias, mask_tower.0.0.weight, mask_tower.0.1.weight, mask_tower.0.1.bias, mask_tower.0.1.running_mean, mask_tower.0.1.running_var, mask_tower.1.0.weight, mask_tower.1.1.weight, mask_tower.1.1.bias, mask_tower.1.1.running_mean, mask_tower.1.1.running_var, mask_tower.2.0.weight, mask_tower.2.1.weight, mask_tower.2.1.bias, mask_tower.2.1.running_mean, mask_tower.2.1.running_var, mask_tower.3.weight, mask_tower.3.bias, inst_mask_head.0.0.weight, inst_mask_head.0.1.weight, inst_mask_head.0.1.bias, inst_mask_head.0.1.running_mean, inst_mask_head.0.1.running_var, inst_mask_head.1.0.weight, inst_mask_head.1.1.weight, inst_mask_head.1.1.bias, inst_mask_head.1.1.running_mean, inst_mask_head.1.1.running_var, inst_mask_head.2.weight, inst_mask_head.2.bias 2023-08-11 14:39:56,589 - INFO - Training [1] 31433 segmentation fault (core dumped) CUDA_VISIBLE_DEVICES=3 python tools/train.py --trainall --exp_name testtest1

Could u please help me to solve this problem, many thanks!

ngoductuanlhp commented 1 year ago

This problem may occur when you import the torch_scatter library. Try to re-install it (https://github.com/rusty1s/pytorch_scatter) with the correct cuda and torch version.