restore yml file

configs/det/det_mv3_db.yml

@@ -76,12 +76,14 @@ Train:
             - { 'type': Fliplr, 'args': { 'p': 0.5 } }
             - { 'type': Affine, 'args': { 'rotate': [-10, 10] } }
             - { 'type': Resize, 'args': { 'size': [0.5, 3] } }
-      - Resize:
+      - EastRandomCropData:
           size: [640, 640]
-#      - EastRandomCropData:
-#          size: [640, 640]
-#          max_tries: 50
-#          keep_ratio: true
+          max_tries: 50
+          keep_ratio: true
+      - EastRandomCropData:
+          size: [640, 640]
+          max_tries: 50
+          keep_ratio: true
       - MakeBorderMap:
           shrink_ratio: 0.4
           thresh_min: 0.3

configs/det/det_mv3_db_unittest.yml

+Global:
+  use_gpu: true
+  epoch_num: 5
+  log_smooth_window: 20
+  print_batch_step: 10
+  save_model_dir: ./output/db_mv3/
+  save_epoch_step: 1200
+  # evaluation is run every 2000 iterations
+  eval_batch_step: [0, 2000]
+  cal_metric_during_train: False
+  pretrained_model: ./pretrain_models/MobileNetV3_large_x0_5_pretrained
+  checkpoints:
+  save_inference_dir:
+  use_visualdl: False
+  infer_img: doc/imgs_en/img_10.jpg
+  save_res_path: ./output/det_db/predicts_db.txt
+
+Architecture:
+  model_type: det
+  algorithm: DB
+  Transform:
+  Backbone:
+    name: MobileNetV3
+    scale: 0.5
+    model_name: large
+  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:
+    learning_rate: 0.001
+  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/icdar2015/text_localization/
+    label_file_list:
+      - ./train_data/icdar2015/text_localization/train_icdar2015_label.txt
+    ratio_list: [1.0]
+    transforms:
+      - DecodeImage: # load image
+          img_mode: BGR
+          channel_first: False
+      - DetLabelEncode: # Class handling label
+#      - IaaAugment:
+#          augmenter_args:
+#            - { 'type': Fliplr, 'args': { 'p': 0.5 } }
+#            - { 'type': Affine, 'args': { 'rotate': [-10, 10] } }
+#            - { 'type': Resize, 'args': { 'size': [0.5, 3] } }
+      - Resize:
+          size: [640, 640]
+      - 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: False
+    drop_last: False
+    batch_size_per_card: 1
+    num_workers: 0
+    use_shared_memory: False
+
+Eval:
+  dataset:
+    name: SimpleDataSet
+    data_dir: ./train_data/icdar2015/text_localization/
+    label_file_list:
+      - ./train_data/icdar2015/text_localization/test_icdar2015_label.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: 8
+    use_shared_memory: False

configs/det/det_r50_vd_db.yml

@@ -75,12 +75,14 @@ Train:
             - { 'type': Fliplr, 'args': { 'p': 0.5 } }
             - { 'type': Affine, 'args': { 'rotate': [-10, 10] } }
             - { 'type': Resize, 'args': { 'size': [0.5, 3] } }
-      - Resize:
+      - EastRandomCropData:
           size: [640, 640]
-#      - EastRandomCropData:
-#          size: [640, 640]
-#          max_tries: 50
-#          keep_ratio: true
+          max_tries: 50
+          keep_ratio: true
+      - EastRandomCropData:
+          size: [640, 640]
+          max_tries: 50
+          keep_ratio: true
       - MakeBorderMap:
           shrink_ratio: 0.4
           thresh_min: 0.3
@@ -97,7 +99,7 @@ Train:
       - KeepKeys:
           keep_keys: ['image', 'threshold_map', 'threshold_mask', 'shrink_map', 'shrink_mask'] # the order of the dataloader list
   loader:
-    shuffle: False
+    shuffle: True
     drop_last: False
     batch_size_per_card: 4
     num_workers: 2