phoenix-T数据集 找不到数据

[cwhm123]

使用的是phoenix-T数据集，为什么会找不到数据，是哪里的配置需要更改吗 完整报错： Current dir exists, do you want to remove and refresh it? y Dir removed ! Loading model [0, 1] Loading model finished. Loading data train 7096 Apply training transform.

train 7096 Apply testing transform.

dev 519 Apply testing transform.

test 642 Apply testing transform.

Loading data finished. .git does not exist in current dir [ Fri May 17 09:25:11 2024 ] Parameters: {'work_dir': './work_dir/baseline_res18/', 'config': './configs/baseline.yaml', 'random_fix': True, 'device': '0,1', 'phase': 'train', 'save_interval': 5, 'rando m_seed': 0, 'eval_interval': 1, 'print_log': True, 'log_interval': 10000, 'evaluate_tool': 'python', 'feeder': 'dataset.dataloader_video.BaseFeeder', 'dataset': 'phoenix2014-T', 'dataset_info': {'dataset_root': './dataset/phoenix2014-T', 'dict_path': './preprocess/phoenix2014-T/gloss_dict.npy', 'evaluation_dir': './evalu ation/slr_eval', 'evaluation_prefix': 'phoenix2014-T-groundtruth'}, 'num_worker': 10, 'feeder_args': {'mode': 'test', 'datatype': 'video', 'num_gloss': -1, 'drop _ratio': 1.0, 'frame_interval': 1, 'image_scale': 1.0, 'input_size': 224, 'prefix': './dataset/phoenix2014-T', 'transform_mode': False}, 'model': 'slr_network.SL RModel', 'model_args': {'num_classes': 1116, 'c2d_type': 'resnet18', 'conv_type': 2, 'use_bn': 1, 'share_classifier': True, 'weight_norm': True}, 'load_weights': None, 'load_checkpoints': None, 'decode_mode': 'beam', 'ignore_weights': [], 'batch_size': 2, 'test_batch_size': 2, 'loss_weights': {'SeqCTC': 1.0, 'ConvCTC': 1 .0, 'Dist': 25.0}, 'optimizer_args': {'optimizer': 'Adam', 'base_lr': 0.0001, 'step': [20, 35], 'learning_ratio': 1, 'weight_decay': 0.0001, 'start_epoch': 0, 'nesterov': False}, 'num_epoch': 40}

0%| | 0/3548 [00:00<?, ?it/s] Traceback (most recent call last): File "/mnt/d/论文demo/CorrNet-main/CorrNet-main/main.py", line 251, in processor.start() File "/mnt/d/论文demo/CorrNet-main/CorrNet-main/main.py", line 62, in start seq_train(self.data_loader['train'], self.model, self.optimizer, File "/mnt/d/论文demo/CorrNet-main/CorrNet-main/seq_scripts.py", line 20, in seq_train for batch_idx, data in enumerate(tqdm(loader)): File "/home/congwenhui/anaconda3/lib/python3.11/site-packages/tqdm/std.py", line 1178, in iter for obj in iterable: File "/home/congwenhui/anaconda3/lib/python3.11/site-packages/torch/utils/data/dataloader.py", line 633, in next data = self._next_data() ^^^^^^^^^^^^^^^^^ File "/home/congwenhui/anaconda3/lib/python3.11/site-packages/torch/utils/data/dataloader.py", line 1345, in _next_data return self._process_data(data) ^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/congwenhui/anaconda3/lib/python3.11/site-packages/torch/utils/data/dataloader.py", line 1371, in _process_data data.reraise() File "/home/congwenhui/anaconda3/lib/python3.11/site-packages/torch/_utils.py", line 644, in reraise raise exception IndexError: Caught IndexError in DataLoader worker process 0. Original Traceback (most recent call last): File "/home/congwenhui/anaconda3/lib/python3.11/site-packages/torch/utils/data/_utils/worker.py", line 308, in _worker_loop data = fetcher.fetch(index) ^^^^^^^^^^^^^^^^^^^^ File "/home/congwenhui/anaconda3/lib/python3.11/site-packages/torch/utils/data/_utils/fetch.py", line 51, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/congwenhui/anaconda3/lib/python3.11/site-packages/torch/utils/data/_utils/fetch.py", line 51, in data = [self.dataset[idx] for idx in possibly_batched_index]

  File "/mnt/d/论文demo/CorrNet-main/CorrNet-main/dataset/dataloader_video.py", line 50, in __getitem__
    input_data, label = self.normalize(input_data, label)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/mnt/d/论文demo/CorrNet-main/CorrNet-main/dataset/dataloader_video.py", line 87, in normalize
    video, label = self.data_aug(video, label, file_id)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/mnt/d/论文demo/CorrNet-main/CorrNet-main/utils/video_augmentation.py", line 24, in __call__
    image = t(image)
            ^^^^^^^^
  File "/mnt/d/论文demo/CorrNet-main/CorrNet-main/utils/video_augmentation.py", line 119, in __call__
    if isinstance(clip[0], np.ndarray):
                  ~~~~^^^
IndexError: list index out of range

[hulianyuyy]

You may refer to this issue to check if you have the same problem.

[Lulo187]

Ok, thank you very much