update doc for quickstart

deploy/cpp_infer/readme.md

@@ -208,7 +208,7 @@ Execute the built executable file:
 ./build/ppocr [--param1] [--param2] [...]
 ```
 
-**Note**:ppocr uses the `PP-OCRv3` model by default, and the input shape used by the recognition model is `3, 48, 320`, so if you use the recognition function, you need to add the parameter `--rec_img_h=48`, if you do not use the default `PP-OCRv3` model, you do not need to set this parameter.
+**Note**:ppocr uses the `PP-OCRv3` model by default, and the input shape used by the recognition model is `3, 48, 320`, if you do not use the default `PP-OCRv3` model, you should add the parameter `--rec_img_h=32`.
 
 Specifically,
 
@@ -222,7 +222,6 @@ Specifically,
     --det=true \
     --rec=true \
     --cls=true \
-    --rec_img_h=48\
 ```
 
 ##### 2. det+rec：
@@ -234,7 +233,6 @@ Specifically,
     --det=true \
     --rec=true \
     --cls=false \
-    --rec_img_h=48\
 ```
 
 ##### 3. det
@@ -254,7 +252,6 @@ Specifically,
     --det=false \
     --rec=true \
     --cls=true \
-    --rec_img_h=48\
 ```
 
 ##### 5. rec
@@ -265,7 +262,6 @@ Specifically,
     --det=false \
     --rec=true \
     --cls=false \
-    --rec_img_h=48\
 ```
 
 ##### 6. cls
@@ -330,7 +326,7 @@ More parameters are as follows,
 |rec_model_dir|string|-|Address of recognition inference model|
 |rec_char_dict_path|string|../../ppocr/utils/ppocr_keys_v1.txt|dictionary file|
 |rec_batch_num|int|6|batch size of recognition|
-|rec_img_h|int|32|image height of recognition|
+|rec_img_h|int|48|image height of recognition|
 |rec_img_w|int|320|image width of recognition|
 
 * Multi-language inference is also supported in PaddleOCR, you can refer to [recognition tutorial](../../doc/doc_en/recognition_en.md) for more supported languages and models in PaddleOCR. Specifically, if you want to infer using multi-language models, you just need to modify values of `rec_char_dict_path` and `rec_model_dir`.

deploy/cpp_infer/readme_ch.md

@@ -213,7 +213,7 @@ CUDNN_LIB_DIR=/your_cudnn_lib_dir
 
 本demo支持系统串联调用，也支持单个功能的调用，如，只使用检测或识别功能。
 
-**注意** ppocr默认使用`PP-OCRv3`模型，识别模型使用的输入shape为`3,48,320`, 因此如果使用识别功能，需要添加参数`--rec_img_h=48`，如果不使用默认的`PP-OCRv3`模型，则无需设置该参数。
+**注意** ppocr默认使用`PP-OCRv3`模型，识别模型使用的输入shape为`3,48,320`, 如果不使用默认的`PP-OCRv3`模型，则需要设置参数`--rec_img_h=32`。
 
 
 运行方式：  
@@ -232,7 +232,6 @@ CUDNN_LIB_DIR=/your_cudnn_lib_dir
     --det=true \
     --rec=true \
     --cls=true \
-    --rec_img_h=48\
 ```
 
 ##### 2. 检测+识别：
@@ -244,7 +243,6 @@ CUDNN_LIB_DIR=/your_cudnn_lib_dir
     --det=true \
     --rec=true \
     --cls=false \
-    --rec_img_h=48\
 ```
 
 ##### 3. 检测：
@@ -264,7 +262,6 @@ CUDNN_LIB_DIR=/your_cudnn_lib_dir
     --det=false \
     --rec=true \
     --cls=true \
-    --rec_img_h=48\
 ```
 
 ##### 5. 识别：
@@ -275,7 +272,6 @@ CUDNN_LIB_DIR=/your_cudnn_lib_dir
     --det=false \
     --rec=true \
     --cls=false \
-    --rec_img_h=48\
 ```
 
 ##### 6. 分类：
@@ -339,7 +335,7 @@ CUDNN_LIB_DIR=/your_cudnn_lib_dir
 |rec_model_dir|string|-|识别模型inference model地址|
 |rec_char_dict_path|string|../../ppocr/utils/ppocr_keys_v1.txt|字典文件|
 |rec_batch_num|int|6|识别模型batchsize|
-|rec_img_h|int|32|识别模型输入图像高度|
+|rec_img_h|int|48|识别模型输入图像高度|
 |rec_img_w|int|320|识别模型输入图像宽度|
 
 

deploy/cpp_infer/src/args.cpp

@@ -47,7 +47,7 @@ DEFINE_string(rec_model_dir, "", "Path of rec inference model.");
 DEFINE_int32(rec_batch_num, 6, "rec_batch_num.");
 DEFINE_string(rec_char_dict_path, "../../ppocr/utils/ppocr_keys_v1.txt",
               "Path of dictionary.");
-DEFINE_int32(rec_img_h, 32, "rec image height");
+DEFINE_int32(rec_img_h, 48, "rec image height");
 DEFINE_int32(rec_img_w, 320, "rec image width");
 
 // ocr forward related

deploy/cpp_infer/src/ocr_rec.cpp

@@ -132,7 +132,9 @@ void CRNNRecognizer::LoadModel(const std::string &model_dir) {
   paddle_infer::Config config;
   config.SetModel(model_dir + "/inference.pdmodel",
                   model_dir + "/inference.pdiparams");
-
+  std::cout << "In PP-OCRv3, default rec_img_h is 48,"
+            << "if you use other model, you should set the param rec_img_h=32"
+            << std::endl;
   if (this->use_gpu_) {
     config.EnableUseGpu(this->gpu_mem_, this->gpu_id_);
     if (this->use_tensorrt_) {

doc/doc_ch/quickstart.md

@@ -101,8 +101,17 @@ cd /path/to/ppocr_img
   ['韩国小馆', 0.994467]
   ```
 
+**版本说明**
+paddleocr默认使用PP-OCRv3模型(`--ocr_version PP-OCRv3`)，如需使用其他版本可通过设置参数`--ocr_version`，具体版本说明如下：
+|  版本名称  |  版本说明 |
+|    ---    |   ---   |
+| PP-OCRv3 | 支持中、英文检测和识别，方向分类器，支持多语种识别 |
+| PP-OCRv2 | 仅支持中英文的检测和识别 |
+| PP-OCR   | 支持中、英文检测和识别，方向分类器，支持多语种识别 |
 
-如需使用2.0模型，请指定参数`--ocr_version PP-OCR`，paddleocr默认使用PP-OCRv3模型(`--ocr_version PP-OCRv3`)。更多whl包使用可参考[whl包文档](./whl.md)
+如需新增自己训练的模型，可以在[paddleocr](../../paddleocr.py)中增加模型链接和字段，重新编译即可。
+
+更多whl包使用可参考[whl包文档](./whl.md)
 
 <a name="212"></a>
 

doc/doc_en/quickstart_en.md

@@ -119,7 +119,18 @@ If you do not use the provided test image, you can replace the following `--imag
   ['PAIN', 0.9934559464454651]
   ```
 
-If you need to use the 2.0 model, please specify the parameter `--ocr_version PP-OCR`, paddleocr uses the PP-OCRv3 model by default(`--ocr_version PP-OCRv3`). More whl package usage can be found in [whl package](./whl_en.md)
+**Version**
+paddleocr uses the PP-OCRv3 model by default(`--ocr_version PP-OCRv3`). If you want to use other versions, you can set the parameter `--ocr_version`, the specific version description is as follows:
+|  version name |  description |
+|    ---    |   ---   |
+| PP-OCRv3 | support Chinese and English detection and recognition, direction classifier, support multilingual recognition |
+| PP-OCRv2 | only supports Chinese and English detection and recognition |
+| PP-OCR   | support Chinese and English detection and recognition, direction classifier, support multilingual recognition |
+
+If you want to add your own trained model, you can add model links and keys in [paddleocr](../../paddleocr.py) and recompile.
+
+More whl package usage can be found in [whl package](./whl_en.md)
+
 <a name="212-multi-language-model"></a>
 
 #### 2.1.2 Multi-language Model

ppocr/data/simple_dataset.py

@@ -33,7 +33,7 @@ class SimpleDataSet(Dataset):
         self.delimiter = dataset_config.get('delimiter', '\t')
         label_file_list = dataset_config.pop('label_file_list')
         data_source_num = len(label_file_list)
-        ratio_list = dataset_config.get("ratio_list", [1.0])
+        ratio_list = dataset_config.get("ratio_list", 1.0)
         if isinstance(ratio_list, (float, int)):
             ratio_list = [float(ratio_list)] * int(data_source_num)