Delete ch_PP-OCRv4_det_teacher.yml

config/ch_PP-OCRv4_det_teacher.yml

-Global:
-  debug: false
-  use_gpu: true
-  epoch_num: &epoch_num 250
-  log_smooth_window: 20
-  print_batch_step: 30
-  save_model_dir: ./output/ch_PP-OCRv4
-  save_epoch_step: 500
-  eval_batch_step:
-  - 0
-  - 60
-  cal_metric_during_train: false
-  checkpoints:
-  pretrained_model: ./pretrain_models/ch_PP-OCRv4_det_server_train/best_accuracy.pdparams
-  save_inference_dir: null
-  use_visualdl: false
-  use_wandb: true
-  infer_img: doc/imgs_en/img_10.jpg
-  save_res_path: ./output/test/det_db/predicts_db_v4.txt
-  distributed: true
-  name: ch_PP-OCRv4
-
-Architecture:
-  model_type: det
-  algorithm: DB
-  Transform: null
-  Backbone:
-    name: PPHGNet_small
-    det: True
-  Neck:
-    name: LKPAN
-    out_channels: 256
-    intracl: true
-  Head:
-    name: PFHeadLocal
-    k: 50
-    mode: "large"
-    
-
-Loss:
-  name: DBLoss
-  balance_loss: true
-  main_loss_type: DiceLoss
-  alpha: 5
-  beta: 10
-  ohem_ratio: 3
-
-Optimizer:
-  name: Adam
-  beta1: 0.9
-  beta2: 0.999
-  lr:
-    name: Cosine
-    learning_rate: 0.001 #(8*8c)
-    warmup_epoch: 2
-  regularizer:
-    name: L2
-    factor: 1e-6
-
-PostProcess:
-  name: DBPostProcess
-  thresh: 0.3
-  box_thresh: 0.6
-  max_candidates: 1000
-  unclip_ratio: 1.5
-
-Metric:
-  name: DetMetric
-  main_indicator: hmean
-
-Train:
-  dataset:
-    name: SimpleDataSet
-    data_dir: ./train_data/
-    label_file_list:
-      - ./train_data/det/train.txt
-    ratio_list: [1.0]
-    transforms:
-    - DecodeImage:
-        img_mode: BGR
-        channel_first: false
-    - DetLabelEncode: null
-    - CopyPaste: null
-    - IaaAugment:
-        augmenter_args:
-        - type: Affine
-          args:
-            rotate:
-            - -3
-            - 3
-        - type: Resize
-          args:
-            size:
-            - 0.8
-            - 1.2
-    - EastRandomCropData:
-        size:
-        - 640
-        - 640
-        max_tries: 50
-        keep_ratio: true
-    - MakeBorderMap:
-        shrink_ratio: 0.4
-        thresh_min: 0.3
-        thresh_max: 0.7
-        total_epoch: *epoch_num
-    - MakeShrinkMap:
-        shrink_ratio: 0.4
-        min_text_size: 8
-        total_epoch: *epoch_num
-    - NormalizeImage:
-        scale: 1./255.
-        mean:
-        - 0.485
-        - 0.456
-        - 0.406
-        std:
-        - 0.229
-        - 0.224
-        - 0.225
-        order: hwc
-    - ToCHWImage: null
-    - KeepKeys:
-        keep_keys:
-        - image
-        - threshold_map
-        - threshold_mask
-        - shrink_map
-        - shrink_mask
-  loader:
-    shuffle: true
-    drop_last: false
-    batch_size_per_card: 8
-    num_workers: 8
-
-Eval:
-  dataset:
-    name: SimpleDataSet
-    data_dir: ./train_data/
-    label_file_list:
-      - ./train_data/det/val.txt
-    transforms:
-    - DecodeImage:
-        img_mode: BGR
-        channel_first: false
-    - DetLabelEncode: null
-    - DetResizeForTest:
-    - NormalizeImage:
-        scale: 1./255.
-        mean:
-        - 0.485
-        - 0.456
-        - 0.406
-        std:
-        - 0.229
-        - 0.224
-        - 0.225
-        order: hwc
-    - ToCHWImage: null
-    - KeepKeys:
-        keep_keys:
-        - image
-        - shape
-        - polys
-        - ignore_tags
-  loader:
-    shuffle: false
-    drop_last: false
-    batch_size_per_card: 1
-    num_workers: 2
-profiler_options: null