Delete ch_det_res18_db_v2.0.yml

config/ch_det_res18_db_v2.0.yml

-Global:
-  use_gpu: true
-  epoch_num: 250
-  log_smooth_window: 20
-  print_batch_step: 30
-  save_model_dir: ./output/ch_db_res18/
-  save_epoch_step: 500
-  # evaluation is run every 5000 iterations after the 4000th iteration
-  eval_batch_step: 60
-  cal_metric_during_train: False
-  pretrained_model: ./pretrain_models/ch_ppocr_server_v2.0_det_train/best_accuracy.pdparams
-  checkpoints:
-  save_inference_dir:
-  use_visualdl: false
-  use_wandb: true
-  infer_img: doc/imgs_en/img_10.jpg
-  save_res_path: ./output/test/det_db/predicts_db.txt
-  name: ch_db_res18
-
-Architecture:
-  model_type: det
-  algorithm: DB
-  Transform:
-  Backbone:
-    name: ResNet_vd
-    layers: 18
-    disable_se: True
-  Neck:
-    name: DBFPN
-    out_channels: 256
-  Head:
-    name: DBHead
-    k: 50
-
-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
-    warmup_epoch: 2
-  regularizer:
-    name: 'L2'
-    factor: 0
-
-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: # load image
-          img_mode: BGR
-          channel_first: False
-      - DetLabelEncode: # Class handling label
-      - IaaAugment:
-          augmenter_args:
-             - { 'type': Affine, 'args': { 'rotate': [-3, 3] } }  # 旋转
-             - { 'type': Resize, 'args': { 'size': [0.8, 1.2] } }  #缩放
-      - EastRandomCropData:
-          size: [960, 960]
-          max_tries: 50
-          keep_ratio: true
-      - MakeBorderMap:
-          shrink_ratio: 0.4
-          thresh_min: 0.3
-          thresh_max: 0.7
-      - MakeShrinkMap:
-          shrink_ratio: 0.4
-          min_text_size: 8
-      - NormalizeImage:
-          scale: 1./255.
-          mean: [0.485, 0.456, 0.406]
-          std: [0.229, 0.224, 0.225]
-          order: 'hwc'
-      - ToCHWImage:
-      - KeepKeys:
-          keep_keys: ['image', 'threshold_map', 'threshold_mask', 'shrink_map', 'shrink_mask'] # the order of the dataloader list
-  loader:
-    shuffle: True
-    drop_last: False
-    batch_size_per_card: 8
-    num_workers: 4
-
-Eval:
-  dataset:
-    name: SimpleDataSet
-    data_dir: ./train_data/
-    label_file_list:
-      - ./train_data/det/val.txt
-    transforms:
-      - DecodeImage: # load image
-          img_mode: BGR
-          channel_first: False
-      - DetLabelEncode: # Class handling label
-      - DetResizeForTest:
-#           image_shape: [736, 1280]
-      - NormalizeImage:
-          scale: 1./255.
-          mean: [0.485, 0.456, 0.406]
-          std: [0.229, 0.224, 0.225]
-          order: 'hwc'
-      - ToCHWImage:
-      - KeepKeys:
-          keep_keys: ['image', 'shape', 'polys', 'ignore_tags']
-  loader:
-    shuffle: False
-    drop_last: False
-    batch_size_per_card: 1 # must be 1
-    num_workers: 2