PaddleOCR对于对于标点符号（）识别效果差

[Jeff-Zhao1999]

在windows下使用paddle=2.20使用paddleocr=2.4训练字符识别时，针对点阵字符识别训练出推理模型，然而在长串的字符识别结果中，所有英文数字字符基本都能正确无误的识别。仅有符号（）完全没有识别效果，已确认字典中有（）。训练图片10张，训练配置和识别效果如下 Global: debug: false use_gpu: true epoch_num: 200 log_smooth_window: 20 print_batch_step: 10 save_model_dir: ./output save_epoch_step: 3 eval_batch_step:

• 0
• 2000 cal_metric_during_train: true checkpoints: null save_inference_dir: null use_visualdl: false infer_img: null character_dict_path: ppocr/utils/en_dict.txt character_type: EN max_text_length: 25 infer_mode: false use_space_char: true distributed: true pretrained_model: Optimizer: name: Adam beta1: 0.9 beta2: 0.999 lr: name: Cosine learning_rate: 0.005 regularizer: name: L2 factor: 1.0e-05 Architecture: model_type: rec algorithm: CRNN Transform: null Backbone: name: MobileNetV3 scale: 0.5 model_name: small small_stride:
  • 1
  • 2
  • 2
  • 2 Neck: name: SequenceEncoder encoder_type: rnn hidden_size: 48 Head: name: CTCHead fc_decay: 1.0e-05 Loss: name: CTCLoss PostProcess: name: CTCLabelDecode Metric: name: RecMetric main_indicator: acc Train: dataset: name: SimpleDataSet data_dir: ./train_data/ label_file_list:
  • ./train_data/train_list.txt ratio_list:
  • 1.0 transforms:
  • DecodeImage: img_mode: BGR channel_first: false
  • RecAug: null
  • CTCLabelEncode: null
  • RecResizeImg: image_shape:
    • 3
    • 32
    • 320
  • KeepKeys: keep_keys:
    • image
    • label
    • length loader: shuffle: true batch_size_per_card: 256 drop_last: true num_workers: 8 Eval: dataset: name: SimpleDataSet data_dir: ./train_data label_file_list:
  • ./train_data/val_list.txt transforms:
  • DecodeImage: img_mode: BGR channel_first: false
  • CTCLabelEncode: null
  • RecResizeImg: image_shape:
    • 3
    • 32
    • 320
  • KeepKeys: keep_keys:
    • image
    • label
    • length loader: shuffle: false drop_last: false batch_size_per_card: 64 num_workers: 4

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