129 lines
2.9 KiB
YAML
129 lines
2.9 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: 100
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save_model_dir: ./output/rec/latex_ocr/
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save_epoch_step: 5
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max_seq_len: 512
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# evaluation is run every 60000 iterations (22 epoch)(batch_size = 56)
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eval_batch_step: [0, 60000]
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cal_metric_during_train: True
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pretrained_model:
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checkpoints:
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save_inference_dir:
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use_visualdl: False
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infer_img: doc/datasets/pme_demo/0000013.png
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infer_mode: False
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use_space_char: False
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rec_char_dict_path: ppocr/utils/dict/latex_ocr_tokenizer.json
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save_res_path: ./output/rec/predicts_latexocr.txt
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Optimizer:
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name: AdamW
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beta1: 0.9
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beta2: 0.999
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lr:
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name: Const
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learning_rate: 0.0001
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Architecture:
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model_type: rec
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algorithm: LaTeXOCR
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in_channels: 1
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Transform:
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Backbone:
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name: HybridTransformer
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img_size: [192, 672]
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patch_size: 16
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num_classes: 0
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embed_dim: 256
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depth: 4
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num_heads: 8
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input_channel: 1
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is_predict: False
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is_export: False
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Head:
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name: LaTeXOCRHead
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pad_value: 0
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is_export: False
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decoder_args:
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attn_on_attn: True
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cross_attend: True
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ff_glu: True
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rel_pos_bias: False
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use_scalenorm: False
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Loss:
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name: LaTeXOCRLoss
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PostProcess:
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name: LaTeXOCRDecode
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rec_char_dict_path: ppocr/utils/dict/latex_ocr_tokenizer.json
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Metric:
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name: LaTeXOCRMetric
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main_indicator: exp_rate
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cal_blue_score: False
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Train:
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dataset:
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name: LaTeXOCRDataSet
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data_dir: ./train_data/LaTeXOCR/train
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data: ./train_data/LaTeXOCR/latexocr_train.pkl
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min_dimensions: [32, 32]
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max_dimensions: [672, 192]
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batch_size_per_pair: 56
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keep_smaller_batches: False
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transforms:
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- DecodeImage:
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channel_first: False
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- MinMaxResize:
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min_dimensions: [32, 32]
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max_dimensions: [672, 192]
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- LatexTrainTransform:
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bitmap_prob: .04
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- NormalizeImage:
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mean: [0.7931, 0.7931, 0.7931]
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std: [0.1738, 0.1738, 0.1738]
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order: 'hwc'
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- LatexImageFormat:
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- KeepKeys:
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keep_keys: ['image']
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loader:
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shuffle: True
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batch_size_per_card: 1
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drop_last: False
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num_workers: 0
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collate_fn: LaTeXOCRCollator
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Eval:
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dataset:
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name: LaTeXOCRDataSet
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data_dir: ./train_data/LaTeXOCR/val
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data: ./train_data/LaTeXOCR/latexocr_val.pkl
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min_dimensions: [32, 32]
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max_dimensions: [672, 192]
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batch_size_per_pair: 10
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keep_smaller_batches: True
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transforms:
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- DecodeImage:
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channel_first: False
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- MinMaxResize:
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min_dimensions: [32, 32]
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max_dimensions: [672, 192]
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- LatexTestTransform:
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- NormalizeImage:
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mean: [0.7931, 0.7931, 0.7931]
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std: [0.1738, 0.1738, 0.1738]
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order: 'hwc'
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- LatexImageFormat:
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- KeepKeys:
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keep_keys: ['image']
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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: 1
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num_workers: 0
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collate_fn: LaTeXOCRCollator
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