fix doc and modify config

README.md

@@ -92,6 +92,7 @@ python3 tools/infer/predict_system.py --image_dir="./doc/imgs/11.jpg" --det_mode
 - [文本检测模型训练/评估/预测](./doc/doc_ch/detection.md)
 - [文本识别模型训练/评估/预测](./doc/doc_ch/recognition.md)
 - [基于预测引擎推理](./doc/doc_ch/inference.md)
+- [yml配置文件参数介绍](./doc/doc_ch/config_ch.md)
 - [数据集](./doc/doc_ch/datasets.md)
 - [FAQ](#FAQ)
 - [联系我们](#欢迎加入PaddleOCR技术交流群)

README_en.md

@@ -92,7 +92,9 @@ For more text detection and recognition models, please refer to the document [In
 - [Text detection model training/evaluation/prediction](./doc/doc_en/detection_en.md)
 - [Text recognition model training/evaluation/prediction](./doc/doc_en/recognition_en.md)
 - [Inference](./doc/doc_en/inference_en.md)
+- [Introduction of yml file](./doc/doc_en/config_en.md)
 - [Dataset](./doc/doc_en/datasets_en.md)
+- [FAQ]((#FAQ)
 
 ## TEXT DETECTION ALGORITHM
 
@@ -170,6 +172,7 @@ Please refer to the document for training guide and use of PaddleOCR text recogn
 ![](doc/imgs_results/chinese_db_crnn_server/2.jpg)
 ![](doc/imgs_results/chinese_db_crnn_server/8.jpg)
 
+<a name="FAQ"></a>
 ## FAQ
 1. Error when using attention-based recognition model: KeyError: 'predict'
 

configs/det/det_mv3_db.yml

@@ -6,7 +6,8 @@ Global:
   print_batch_step: 2
   save_model_dir: ./output/det_db/
   save_epoch_step: 200
-  eval_batch_step: 5000
+  # evaluation is run every 2000 iterations after the 5000th iteration
+  eval_batch_step: [5000, 5000]
   train_batch_size_per_card: 16
   test_batch_size_per_card: 16
   image_shape: [3, 640, 640]

configs/det/det_mv3_east.yml

@@ -6,7 +6,7 @@ Global:
   print_batch_step: 5
   save_model_dir: ./output/det_east/
   save_epoch_step: 200
-  eval_batch_step: 5000
+  eval_batch_step: [5000, 5000]
   train_batch_size_per_card: 16
   test_batch_size_per_card: 16
   image_shape: [3, 512, 512]

configs/det/det_r50_vd_db.yml

@@ -6,7 +6,7 @@ Global:
   print_batch_step: 2
   save_model_dir: ./output/det_db/
   save_epoch_step: 200
-  eval_batch_step: 5000
+  eval_batch_step: [5000, 5000]
   train_batch_size_per_card: 8
   test_batch_size_per_card: 16
   image_shape: [3, 640, 640]

configs/det/det_r50_vd_east.yml

@@ -6,7 +6,7 @@ Global:
   print_batch_step: 5
   save_model_dir: ./output/det_east/
   save_epoch_step: 200
-  eval_batch_step: 5000
+  eval_batch_step: [5000, 5000]
   train_batch_size_per_card: 8
   test_batch_size_per_card: 16
   image_shape: [3, 512, 512]