remove det_mv3_db_v1.1.yml & add code annotation !752

Created by: MissPenguin

configs/det/det_mv3_db.yml

   function: ppocr.modeling.backbones.det_mobilenet_v3,MobileNetV3
   scale: 0.5
   model_name: large
+  disable_se: true
 
 Head:
   function: ppocr.modeling.heads.det_db_head,DBHead

configs/det/det_mv3_db_v1.1.yml

-Global:
-  algorithm: DB
-  use_gpu: true
-  epoch_num: 1200
-  log_smooth_window: 20
-  print_batch_step: 2
-  save_model_dir: ./output/det_db/
-  save_epoch_step: 200
-  # evaluation is run every 5000 iterations after the 4000th iteration
-  eval_batch_step: [4000, 5000]
-  train_batch_size_per_card: 16
-  test_batch_size_per_card: 16
-  image_shape: [3, 640, 640]
-  reader_yml: ./configs/det/det_db_icdar15_reader.yml
-  pretrain_weights: ./pretrain_models/MobileNetV3_large_x0_5_pretrained/
-  checkpoints:
-  save_res_path: ./output/det_db/predicts_db.txt
-  save_inference_dir:
-  
-Architecture:
-  function: ppocr.modeling.architectures.det_model,DetModel
-
-Backbone:
-  function: ppocr.modeling.backbones.det_mobilenet_v3,MobileNetV3
-  scale: 0.5
-  model_name: large
-  disable_se: true
-
-Head:
-  function: ppocr.modeling.heads.det_db_head,DBHead
-  model_name: large
-  k: 50
-  inner_channels: 96
-  out_channels: 2
-
-Loss:
-  function: ppocr.modeling.losses.det_db_loss,DBLoss
-  balance_loss: true
-  main_loss_type: DiceLoss
-  alpha: 5
-  beta: 10
-  ohem_ratio: 3
-
-Optimizer:
-  function: ppocr.optimizer,AdamDecay
-  base_lr: 0.001
-  beta1: 0.9
-  beta2: 0.999
-
-PostProcess:
-  function: ppocr.postprocess.db_postprocess,DBPostProcess
-  thresh: 0.3
-  box_thresh: 0.6
-  max_candidates: 1000
-  unclip_ratio: 1.5

deploy/hubserving/ocr_det/params.py

     
     #params for text detector
     cfg.det_algorithm = "DB"
-    cfg.det_model_dir = "./inference/ch_det_mv3_db/"
+    cfg.det_model_dir = "./inference/ch_ppocr_mobile_v1.1_det_infer/"
     cfg.det_max_side_len = 960
 
     #DB parmas

deploy/hubserving/ocr_rec/params.py

 
     #params for text recognizer
     cfg.rec_algorithm = "CRNN"
-    cfg.rec_model_dir = "./inference/ch_rec_mv3_crnn/"
+    cfg.rec_model_dir = "./inference/ch_ppocr_mobile_v1.1_rec_infer/"
 
     cfg.rec_image_shape = "3, 32, 320"
     cfg.rec_char_type = 'ch'

deploy/hubserving/ocr_system/params.py

 
     #params for text detector
     cfg.det_algorithm = "DB"
-    cfg.det_model_dir = "./inference/ch_det_mv3_db/"
+    cfg.det_model_dir = "./inference/ch_ppocr_mobile_v1.1_det_infer/"
     cfg.det_max_side_len = 960
 
     #DB parmas
 
     #params for text recognizer
     cfg.rec_algorithm = "CRNN"
-    cfg.rec_model_dir = "./inference/ch_rec_mv3_crnn/"
+    cfg.rec_model_dir = "./inference/ch_ppocr_mobile_v1.1_rec_infer/"
 
     cfg.rec_image_shape = "3, 32, 320"
     cfg.rec_char_type = 'ch'