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Runtime error
Runtime error
| Global: | |
| use_gpu: True | |
| epoch_num: 21 | |
| log_smooth_window: 20 | |
| print_batch_step: 10 | |
| save_model_dir: ./output/rec/nrtr/ | |
| save_epoch_step: 1 | |
| # evaluation is run every 2000 iterations | |
| eval_batch_step: [0, 2000] | |
| cal_metric_during_train: True | |
| pretrained_model: | |
| checkpoints: | |
| save_inference_dir: | |
| use_visualdl: False | |
| infer_img: doc/imgs_words_en/word_10.png | |
| # for data or label process | |
| character_dict_path: ppocr/utils/EN_symbol_dict.txt | |
| max_text_length: 25 | |
| infer_mode: False | |
| use_space_char: False | |
| save_res_path: ./output/rec/predicts_nrtr.txt | |
| Optimizer: | |
| name: Adam | |
| beta1: 0.9 | |
| beta2: 0.99 | |
| clip_norm: 5.0 | |
| lr: | |
| name: Cosine | |
| learning_rate: 0.0005 | |
| warmup_epoch: 2 | |
| regularizer: | |
| name: 'L2' | |
| factor: 0. | |
| Architecture: | |
| model_type: rec | |
| algorithm: NRTR | |
| in_channels: 1 | |
| Transform: | |
| Backbone: | |
| name: MTB | |
| cnn_num: 2 | |
| Head: | |
| name: Transformer | |
| d_model: 512 | |
| num_encoder_layers: 6 | |
| beam_size: -1 # When Beam size is greater than 0, it means to use beam search when evaluation. | |
| Loss: | |
| name: CELoss | |
| smoothing: True | |
| PostProcess: | |
| name: NRTRLabelDecode | |
| Metric: | |
| name: RecMetric | |
| main_indicator: acc | |
| Train: | |
| dataset: | |
| name: LMDBDataSet | |
| data_dir: ./train_data/data_lmdb_release/training/ | |
| transforms: | |
| - DecodeImage: # load image | |
| img_mode: BGR | |
| channel_first: False | |
| - NRTRLabelEncode: # Class handling label | |
| - GrayRecResizeImg: | |
| image_shape: [100, 32] # W H | |
| resize_type: PIL # PIL or OpenCV | |
| - KeepKeys: | |
| keep_keys: ['image', 'label', 'length'] # dataloader will return list in this order | |
| loader: | |
| shuffle: True | |
| batch_size_per_card: 512 | |
| drop_last: True | |
| num_workers: 8 | |
| Eval: | |
| dataset: | |
| name: LMDBDataSet | |
| data_dir: ./train_data/data_lmdb_release/evaluation/ | |
| transforms: | |
| - DecodeImage: # load image | |
| img_mode: BGR | |
| channel_first: False | |
| - NRTRLabelEncode: # Class handling label | |
| - GrayRecResizeImg: | |
| image_shape: [100, 32] # W H | |
| resize_type: PIL # PIL or OpenCV | |
| - KeepKeys: | |
| keep_keys: ['image', 'label', 'length'] # dataloader will return list in this order | |
| loader: | |
| shuffle: False | |
| drop_last: False | |
| batch_size_per_card: 256 | |
| num_workers: 4 | |
| use_shared_memory: False | |