About class2scans.pkl

[964918993]

https://github.com/Na-Z/attMPTI/issues/7#issue-933704367

Sorry to bother u. I have the same problem when I use 'bash scripts/pretrain_segmentor.sh.' under attMPTI-main. Can you help me see what's wrong?

It shows: /root/anaconda3/envs/dgcnn/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint8 = np.dtype([("qint8", np.int8, 1)]) /root/anaconda3/envs/dgcnn/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint8 = np.dtype([("quint8", np.uint8, 1)]) /root/anaconda3/envs/dgcnn/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint16 = np.dtype([("qint16", np.int16, 1)]) /root/anaconda3/envs/dgcnn/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint16 = np.dtype([("quint16", np.uint16, 1)]) /root/anaconda3/envs/dgcnn/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint32 = np.dtype([("qint32", np.int32, 1)]) /root/anaconda3/envs/dgcnn/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. np_resource = np.dtype([("resource", np.ubyte, 1)]) ------------ Options ------------- base_widths: [128, 64] batch_size: 16 cvfold: 0 data_path: ./datasets/S3DIS/blocks_bs1_s1 dataset: s3dis dgcnn_k: 20 dgcnn_mlp_widths: [512, 256] dist_method: euclidean edgeconv_widths: [[64, 64], [64, 64], [64, 64]] eval_interval: 3 gamma: 0.5 k_connect: 200 k_shot: 1 log_dir: ./log_s3dis/log_pretrain_s3dis_S0 lr: 0.001 model_checkpoint_path: None n_episode_test: 100 n_iters: 100 n_queries: 1 n_subprototypes: 100 n_way: 2 n_workers: 16 output_dim: 64 pc_attribs: xyzrgbXYZ pc_augm: True pc_augm_jitter: 1 pc_augm_mirror_prob: 0 pc_augm_rot: 1 pc_augm_scale: 0 pc_in_dim: 9 pc_npts: 2048 phase: pretrain pretrain_checkpoint_path: None pretrain_gamma: 0.5 pretrain_lr: 0.001 pretrain_step_size: 50 pretrain_weight_decay: 0.0001 save_path: ./log_s3dis/ sigma: 1.0 step_size: 5000 use_attention: False -------------- End ----------------

{0: 'ceiling', 1: 'floor', 2: 'wall', 3: 'beam', 4: 'column', 5: 'window', 6: 'door', 7: 'table', 8: 'chair', 9: 'sofa', 10: 'bookcase', 11: 'board', 12: 'clutter'} ==== class to scans mapping is done ==== class_id: 0 | min_ratio: 0.05 | min_pts: 100 | class_name: ceiling | num of scans: 0 class_id: 1 | min_ratio: 0.05 | min_pts: 100 | class_name: floor | num of scans: 0 class_id: 2 | min_ratio: 0.05 | min_pts: 100 | class_name: wall | num of scans: 0 class_id: 3 | min_ratio: 0.05 | min_pts: 100 | class_name: beam | num of scans: 0 class_id: 4 | min_ratio: 0.05 | min_pts: 100 | class_name: column | num of scans: 0 class_id: 5 | min_ratio: 0.05 | min_pts: 100 | class_name: window | num of scans: 0 class_id: 6 | min_ratio: 0.05 | min_pts: 100 | class_name: door | num of scans: 0 class_id: 7 | min_ratio: 0.05 | min_pts: 100 | class_name: table | num of scans: 0 class_id: 8 | min_ratio: 0.05 | min_pts: 100 | class_name: chair | num of scans: 0 class_id: 9 | min_ratio: 0.05 | min_pts: 100 | class_name: sofa | num of scans: 0 class_id: 10 | min_ratio: 0.05 | min_pts: 100 | class_name: bookcase | num of scans: 0 class_id: 11 | min_ratio: 0.05 | min_pts: 100 | class_name: board | num of scans: 0 class_id: 12 | min_ratio: 0.05 | min_pts: 100 | class_name: clutter | num of scans: 0 Traceback (most recent call last): File "main.py", line 116, in pretrain(args) File "/private/attMPTI-main/runs/pre_train.py", line 98, in pretrain DATASET = S3DISDataset(args.cvfold, args.data_path) File "/private/attMPTI-main/dataloaders/s3dis.py", line 38, in init self.class2scans = self.get_class2scans() File "/private/attMPTI-main/dataloaders/s3dis.py", line 69, in get_class2scans with open(class2scans_file, 'wb') as f: FileNotFoundError: [Errno 2] No such file or directory: './datasets/S3DIS/blocks_bs1_s1/class2scans.pkl'

[genglibot]

halo，I have encountered the same problem. Could you please tell me have you solve this problem?