112 lines
2.0 KiB
YAML
112 lines
2.0 KiB
YAML
Global:
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use_gpu: true
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epoch_num: 500
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log_smooth_window: 20
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print_batch_step: 10
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save_model_dir: ./output/rec_latin_lite
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save_epoch_step: 3
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eval_batch_step:
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- 0
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- 2000
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cal_metric_during_train: true
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pretrained_model: null
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checkpoints: null
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save_inference_dir: null
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use_visualdl: false
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infer_img: null
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character_dict_path: ppocr/utils/dict/latin_dict.txt
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character_type: latin
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max_text_length: 25
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infer_mode: false
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use_space_char: true
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Optimizer:
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name: Adam
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beta1: 0.9
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beta2: 0.999
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lr:
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name: Cosine
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learning_rate: 0.001
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regularizer:
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name: L2
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factor: 1.0e-05
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Architecture:
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model_type: rec
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algorithm: CRNN
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Transform: null
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Backbone:
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name: MobileNetV3
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scale: 0.5
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model_name: small
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small_stride:
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- 1
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- 2
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- 2
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- 2
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Neck:
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name: SequenceEncoder
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encoder_type: rnn
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hidden_size: 48
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Head:
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name: CTCHead
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fc_decay: 1.0e-05
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Loss:
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name: CTCLoss
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PostProcess:
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name: CTCLabelDecode
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Metric:
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name: RecMetric
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main_indicator: acc
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Train:
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dataset:
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name: SimpleDataSet
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data_dir: train_data/
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label_file_list:
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- train_data/latin_train.txt
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transforms:
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- DecodeImage:
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img_mode: BGR
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channel_first: false
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- RecAug: null
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- CTCLabelEncode: null
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- RecResizeImg:
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image_shape:
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- 3
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- 32
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- 320
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- KeepKeys:
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keep_keys:
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- image
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- label
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- length
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loader:
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shuffle: true
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batch_size_per_card: 256
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drop_last: true
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num_workers: 8
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Eval:
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dataset:
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name: SimpleDataSet
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data_dir: train_data/
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label_file_list:
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- train_data/latin_val.txt
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transforms:
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- DecodeImage:
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img_mode: BGR
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channel_first: false
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- CTCLabelEncode: null
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- RecResizeImg:
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image_shape:
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- 3
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- 32
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- 320
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- KeepKeys:
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keep_keys:
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- image
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- label
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- length
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loader:
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shuffle: false
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drop_last: false
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batch_size_per_card: 256
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num_workers: 8
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