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- Global:
- debug: false
- use_gpu: true
- epoch_num: 100
- log_smooth_window: 20
- print_batch_step: 10
- save_model_dir: ./output/rec_ppocr_v3_rotnet
- save_epoch_step: 3
- eval_batch_step: [0, 2000]
- cal_metric_during_train: true
- pretrained_model: null
- checkpoints: null
- save_inference_dir: null
- use_visualdl: false
- infer_img: doc/imgs_words/ch/word_1.jpg
- character_dict_path: ppocr/utils/ppocr_keys_v1.txt
- max_text_length: 25
- infer_mode: false
- use_space_char: true
- save_res_path: ./output/rec/predicts_chinese_lite_v2.0.txt
- Optimizer:
- name: Adam
- beta1: 0.9
- beta2: 0.999
- lr:
- name: Cosine
- learning_rate: 0.001
- regularizer:
- name: L2
- factor: 1.0e-05
- Architecture:
- model_type: cls
- algorithm: CLS
- Transform: null
- Backbone:
- name: MobileNetV1Enhance
- scale: 0.5
- last_conv_stride: [1, 2]
- last_pool_type: avg
- Neck:
- Head:
- name: ClsHead
- class_dim: 4
- Loss:
- name: ClsLoss
- main_indicator: acc
- PostProcess:
- name: ClsPostProcess
- Metric:
- name: ClsMetric
- main_indicator: acc
- Train:
- dataset:
- name: SimpleDataSet
- data_dir: ./train_data
- label_file_list:
- - ./train_data/train_list.txt
- transforms:
- - DecodeImage:
- img_mode: BGR
- channel_first: false
- - BaseDataAugmentation:
- - RandAugment:
- - SSLRotateResize:
- image_shape: [3, 48, 320]
- - KeepKeys:
- keep_keys: ["image", "label"]
- loader:
- collate_fn: "SSLRotateCollate"
- shuffle: true
- batch_size_per_card: 32
- 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
- - SSLRotateResize:
- image_shape: [3, 48, 320]
- - KeepKeys:
- keep_keys: ["image", "label"]
- loader:
- collate_fn: "SSLRotateCollate"
- shuffle: false
- drop_last: false
- batch_size_per_card: 64
- num_workers: 8
- profiler_options: null
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