207 lines
4.5 KiB
YAML
207 lines
4.5 KiB
YAML
Global:
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debug: false
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use_gpu: true
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epoch_num: 800
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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_ppocr_v3_distillation
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save_epoch_step: 3
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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: false
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infer_img: doc/imgs_words/ch/word_1.jpg
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character_dict_path: ppocr/utils/ppocr_keys_v1.txt
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max_text_length: &max_text_length 25
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infer_mode: false
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use_space_char: true
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distributed: true
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save_res_path: ./output/rec/predicts_ppocrv3_distillation.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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lr:
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name: Piecewise
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decay_epochs : [700]
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values : [0.0005, 0.00005]
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warmup_epoch: 5
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regularizer:
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name: L2
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factor: 3.0e-05
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Architecture:
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model_type: &model_type "rec"
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name: DistillationModel
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algorithm: Distillation
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Models:
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Teacher:
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pretrained:
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freeze_params: false
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return_all_feats: true
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model_type: *model_type
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algorithm: SVTR
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Transform:
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Backbone:
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name: MobileNetV1Enhance
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scale: 0.5
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last_conv_stride: [1, 2]
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last_pool_type: avg
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Head:
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name: MultiHead
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head_list:
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- CTCHead:
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Neck:
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name: svtr
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dims: 64
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depth: 2
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hidden_dims: 120
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use_guide: True
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Head:
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fc_decay: 0.00001
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- SARHead:
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enc_dim: 512
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max_text_length: *max_text_length
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Student:
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pretrained:
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freeze_params: false
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return_all_feats: true
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model_type: *model_type
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algorithm: SVTR
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Transform:
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Backbone:
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name: MobileNetV1Enhance
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scale: 0.5
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last_conv_stride: [1, 2]
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last_pool_type: avg
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Head:
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name: MultiHead
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head_list:
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- CTCHead:
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Neck:
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name: svtr
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dims: 64
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depth: 2
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hidden_dims: 120
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use_guide: True
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Head:
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fc_decay: 0.00001
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- SARHead:
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enc_dim: 512
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max_text_length: *max_text_length
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Loss:
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name: CombinedLoss
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loss_config_list:
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- DistillationDMLLoss:
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weight: 1.0
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act: "softmax"
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use_log: true
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model_name_pairs:
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- ["Student", "Teacher"]
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key: head_out
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multi_head: True
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dis_head: ctc
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name: dml_ctc
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- DistillationDMLLoss:
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weight: 0.5
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act: "softmax"
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use_log: true
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model_name_pairs:
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- ["Student", "Teacher"]
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key: head_out
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multi_head: True
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dis_head: sar
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name: dml_sar
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- DistillationDistanceLoss:
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weight: 1.0
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mode: "l2"
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model_name_pairs:
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- ["Student", "Teacher"]
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key: backbone_out
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- DistillationCTCLoss:
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weight: 1.0
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model_name_list: ["Student", "Teacher"]
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key: head_out
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multi_head: True
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- DistillationSARLoss:
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weight: 1.0
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model_name_list: ["Student", "Teacher"]
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key: head_out
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multi_head: True
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PostProcess:
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name: DistillationCTCLabelDecode
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model_name: ["Student", "Teacher"]
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key: head_out
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multi_head: True
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Metric:
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name: DistillationMetric
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base_metric_name: RecMetric
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main_indicator: acc
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key: "Student"
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ignore_space: False
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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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ext_op_transform_idx: 1
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label_file_list:
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- ./train_data/train_list.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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- RecConAug:
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prob: 0.5
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ext_data_num: 2
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image_shape: [48, 320, 3]
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max_text_length: *max_text_length
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- RecAug:
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- MultiLabelEncode:
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- RecResizeImg:
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image_shape: [3, 48, 320]
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- KeepKeys:
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keep_keys:
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- image
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- label_ctc
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- label_sar
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- length
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- valid_ratio
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loader:
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shuffle: true
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batch_size_per_card: 128
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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: SimpleDataSet
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data_dir: ./train_data
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label_file_list:
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- ./train_data/val_list.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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- MultiLabelEncode:
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- RecResizeImg:
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image_shape: [3, 48, 320]
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- KeepKeys:
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keep_keys:
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- image
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- label_ctc
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- label_sar
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- length
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- valid_ratio
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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: 128
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num_workers: 4
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