107 lines
2.4 KiB
YAML
107 lines
2.4 KiB
YAML
Global:
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use_gpu: true
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epoch_num: 8
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log_smooth_window: 200
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print_batch_step: 200
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save_model_dir: ./output/rec/r45_visionlan
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save_epoch_step: 1
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# evaluation is run every 2000 iterations
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eval_batch_step: [0, 2000]
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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: True
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infer_img: doc/imgs_words/en/word_2.png
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# for data or label process
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character_dict_path:
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max_text_length: &max_text_length 25
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training_step: &training_step LA
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infer_mode: False
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use_space_char: False
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save_res_path: ./output/rec/predicts_visionlan.txt
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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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clip_norm: 20.0
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group_lr: true
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training_step: *training_step
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lr:
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name: Piecewise
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decay_epochs: [6]
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values: [0.0001, 0.00001]
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regularizer:
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name: 'L2'
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factor: 0
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Architecture:
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model_type: rec
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algorithm: VisionLAN
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Transform:
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Backbone:
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name: ResNet45
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strides: [2, 2, 2, 1, 1]
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Head:
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name: VLHead
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n_layers: 3
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n_position: 256
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n_dim: 512
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max_text_length: *max_text_length
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training_step: *training_step
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Loss:
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name: VLLoss
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mode: *training_step
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weight_res: 0.5
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weight_mas: 0.5
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PostProcess:
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name: VLLabelDecode
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Metric:
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name: RecMetric
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is_filter: true
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Train:
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dataset:
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name: LMDBDataSet
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data_dir: ./train_data/data_lmdb_release/training/
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transforms:
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- DecodeImage: # load image
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img_mode: RGB
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channel_first: False
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- ABINetRecAug:
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- VLLabelEncode: # Class handling label
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- VLRecResizeImg:
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image_shape: [3, 64, 256]
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- KeepKeys:
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keep_keys: ['image', 'label', 'label_res', 'label_sub', 'label_id', 'length'] # dataloader will return list in this order
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loader:
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shuffle: True
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batch_size_per_card: 220
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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: LMDBDataSet
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data_dir: ./train_data/data_lmdb_release/validation/
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transforms:
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- DecodeImage: # load image
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img_mode: RGB
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channel_first: False
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- VLLabelEncode: # Class handling label
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- VLRecResizeImg:
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image_shape: [3, 64, 256]
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- KeepKeys:
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keep_keys: ['image', 'label', 'label_res', 'label_sub', 'label_id', 'length'] # 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: 64
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num_workers: 4
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