85 lines
1.7 KiB
YAML
85 lines
1.7 KiB
YAML
Global:
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use_gpu: true
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epoch_num: 2
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log_smooth_window: 20
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print_batch_step: 10
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save_model_dir: ./output/sr/sr_telescope/
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save_epoch_step: 3
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# evaluation is run every 2000 iterations
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eval_batch_step: [0, 1000]
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cal_metric_during_train: False
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pretrained_model:
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checkpoints:
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save_inference_dir: ./output/sr/sr_telescope/infer
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use_visualdl: False
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infer_img: doc/imgs_words_en/word_52.png
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# for data or label process
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character_dict_path:
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max_text_length: 100
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infer_mode: False
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use_space_char: False
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save_res_path: ./output/sr/predicts_telescope.txt
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Optimizer:
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name: Adam
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beta1: 0.5
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beta2: 0.999
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clip_norm: 0.25
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lr:
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learning_rate: 0.0001
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Architecture:
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model_type: sr
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algorithm: Telescope
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Transform:
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name: TBSRN
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STN: True
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infer_mode: False
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Loss:
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name: TelescopeLoss
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confuse_dict_path: ./ppocr/utils/dict/confuse.pkl
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PostProcess:
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name: None
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Metric:
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name: SRMetric
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main_indicator: all
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Train:
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dataset:
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name: LMDBDataSetSR
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data_dir: ./train_data/TextZoom/train
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transforms:
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- SRResize:
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imgH: 32
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imgW: 128
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down_sample_scale: 2
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- KeepKeys:
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keep_keys: ['img_lr', 'img_hr', 'label'] # dataloader will return list in this order
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loader:
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shuffle: False
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batch_size_per_card: 16
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drop_last: True
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num_workers: 4
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Eval:
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dataset:
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name: LMDBDataSetSR
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data_dir: ./train_data/TextZoom/test
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transforms:
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- SRResize:
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imgH: 32
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imgW: 128
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down_sample_scale: 2
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- KeepKeys:
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keep_keys: ['img_lr', 'img_hr', 'label'] # dataloader will return list in this order
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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: 16
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num_workers: 4
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