scannet.py FileNotFoundError

[guardian1213812138]

When I run the main.py, the error message 'FileNotFoundError: [Errno 2] No such file or directory:'home/////data''appears, which is located in scannet. py. But the corresponding file can be found in the corresponding path. The detailed error information is as follows.

creating log file ./checkpoints/20230520_160409_train.log Traceback (most recent call last): File "/home/a123/ShiShi/NeuralRecon/NeuralRecon-master/venv/lib/python3.10/site-packages/IPython/core/interactiveshell.py", line 3508, in run_code exec(code_obj, self.user_global_ns, self.user_ns) File "", line 1, in runfile('/home/a123/ShiShi/NeuralRecon/NeuralRecon-master/main.py', args=['--cfg', './config/train.yaml'], wdir='/home/a123/ShiShi/NeuralRecon/NeuralRecon-master') File "/home/a123/pycharm-2021.3/plugins/python/helpers/pydev/_pydev_bundle/pydev_umd.py", line 198, in runfile pydev_imports.execfile(filename, global_vars, local_vars) # execute the script File "/home/a123/pycharm-2021.3/plugins/python/helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile exec(compile(contents+"\n", file, 'exec'), glob, loc) File "/home/a123/ShiShi/NeuralRecon/NeuralRecon-master/main.py", line 117, in train_dataset = MVSDataset(cfg.TRAIN.PATH, "train", transforms, cfg.TRAIN.N_VIEWS, len(cfg.MODEL.THRESHOLDS) - 1) File "/home/a123/ShiShi/NeuralRecon/NeuralRecon-master/datasets/scannet.py", line 19, in init self.metas = self.build_list() File "/home/a123/ShiShi/NeuralRecon/NeuralRecon-master/datasets/scannet.py", line 32, in build_list with open(os.path.join('home/a123/ShiShi/NeuralRecon/NeuralRecon-master/data', self.tsdffile, 'fragments{}.pkl'.format(self.mode)), 'rb') as f: FileNotFoundError: [Errno 2] No such file or directory: 'home/a123/ShiShi/NeuralRecon/NeuralRecon-master/data/all_tsdf_9/fragments_train.pkl'

I would greatly appreciate it if you could solve this problem.

[guardian1213812138]

scannet.py line 32 with open(os.path.join('home/a123/ShiShi/NeuralRecon/NeuralRecon-master/data', self.tsdffile, 'fragments{}.pkl'.format(self.mode)), 'rb') as f:

[Jamesgender]

If you finished the process of generating GT, the fragments_train.pkl will be there.