[FastDeploy] Improve readme and code format. (#9478)

* Fix padding value in rec model, and box sort in det model

* Add FastDeploy support to deploy PaddleOCR models.

* Improve readme

* improve readme

* improve readme

* improve code

* improve readme

* improve readme and format

* improve readme and format

* improve readme and format

* improve readme

* improve readme

deploy/fastdeploy/ascend/cpp/README.md

@@ -15,8 +15,14 @@
 ## 3.运行部署示例
 ```
 # 下载部署示例代码
+git clone https://github.com/PaddlePaddle/FastDeploy.git
+cd  FastDeploy/examples/vision/ocr/PP-OCR/ascend/cpp
+
+# 如果您希望从PaddleOCR下载示例代码，请运行
 git clone https://github.com/PaddlePaddle/PaddleOCR.git
-cd PaddleOCR/deploy/fastdeploy/PP-OCRv3/ascend/cpp
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到dygraph分支
+git checkout dygraph
+cd PaddleOCR/deploy/fastdeploy/ascend/cpp
 
 mkdir build
 cd build

deploy/fastdeploy/ascend/python/README.md

@@ -12,8 +12,14 @@
 ## 3.运行部署示例
 ```
 # 下载部署示例代码
+git clone https://github.com/PaddlePaddle/FastDeploy.git
+cd  FastDeploy/examples/vision/ocr/PP-OCR/ascend/python
+
+# 如果您希望从PaddleOCR下载示例代码，请运行
 git clone https://github.com/PaddlePaddle/PaddleOCR.git
-cd PaddleOCR/deploy/fastdeploy/PP-OCRv3/ascend/python
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到dygraph分支
+git checkout dygraph
+cd PaddleOCR/deploy/fastdeploy/ascend/python
 
 # 下载PP-OCRv3文字检测模型
 wget https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_infer.tar

deploy/fastdeploy/cpu-gpu/c/README.md

@@ -16,7 +16,13 @@ PaddleOCR支持利用FastDeploy在NVIDIA GPU、X86 CPU、飞腾CPU、ARM CPU、I
 ## 4.运行部署示例
 ```bash
 # 下载部署示例代码
+git clone https://github.com/PaddlePaddle/FastDeploy.git
+cd  FastDeploy/examples/vision/ocr/PP-OCR/cpu-gpu/c
+
+# 如果您希望从PaddleOCR下载示例代码，请运行
 git clone https://github.com/PaddlePaddle/PaddleOCR.git
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到dygraph分支
+git checkout dygraph
 cd PaddleOCR/deploy/fastdeploy/cpu-gpu/c
 
 mkdir build

deploy/fastdeploy/cpu-gpu/cpp/CMakeLists.txt

@@ -27,4 +27,4 @@ target_link_libraries(infer_cls ${FASTDEPLOY_LIBS})
 # Only Rec
 add_executable(infer_rec ${PROJECT_SOURCE_DIR}/infer_rec.cc)
 # 添加FastDeploy库依赖
-target_link_libraries(infer_rec ${FASTDEPLOY_LIBS})
\ No newline at end of file
+target_link_libraries(infer_rec ${FASTDEPLOY_LIBS})

deploy/fastdeploy/cpu-gpu/cpp/README.md

@@ -2,7 +2,6 @@
 # PaddleOCR CPU-GPU C++部署示例
 
 本目录下提供`infer.cc`快速完成PP-OCRv3在CPU/GPU，以及GPU上通过Paddle-TensorRT加速部署的示例.
-
 ## 1. 说明  
 PaddleOCR支持利用FastDeploy在NVIDIA GPU、X86 CPU、飞腾CPU、ARM CPU、Intel GPU(独立显卡/集成显卡)硬件上快速部署OCR模型.
 
@@ -17,7 +16,13 @@ PaddleOCR支持利用FastDeploy在NVIDIA GPU、X86 CPU、飞腾CPU、ARM CPU、I
 
 ```bash  
 # 下载部署示例代码
+git clone https://github.com/PaddlePaddle/FastDeploy.git
+cd  FastDeploy/examples/vision/ocr/PP-OCR/cpu-gpu/cpp
+
+# 如果您希望从PaddleOCR下载示例代码，请运行
 git clone https://github.com/PaddlePaddle/PaddleOCR.git
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到dygraph分支
+git checkout dygraph
 cd PaddleOCR/deploy/fastdeploy/cpu-gpu/cpp
 
 # 下载FastDeploy预编译库，用户可在上文提到的`FastDeploy预编译库`中自行选择合适的版本使用

deploy/fastdeploy/cpu-gpu/cpp/infer_cls.cc

@@ -22,7 +22,6 @@ const char sep = '/';
 void InitAndInfer(const std::string &cls_model_dir,
                   const std::string &image_file,
                   const fastdeploy::RuntimeOption &option) {
-
   auto cls_model_file = cls_model_dir + sep + "inference.pdmodel";
   auto cls_params_file = cls_model_dir + sep + "inference.pdiparams";
   auto cls_option = option;

deploy/fastdeploy/cpu-gpu/cpp/infer_rec.cc

@@ -23,7 +23,6 @@ void InitAndInfer(const std::string &rec_model_dir,
                   const std::string &rec_label_file,
                   const std::string &image_file,
                   const fastdeploy::RuntimeOption &option) {
-
   auto rec_model_file = rec_model_dir + sep + "inference.pdmodel";
   auto rec_params_file = rec_model_dir + sep + "inference.pdiparams";
   auto rec_option = option;

deploy/fastdeploy/cpu-gpu/csharp/README.md

@@ -35,7 +35,13 @@ PaddleOCR支持利用FastDeploy在NVIDIA GPU、X86 CPU、飞腾CPU、ARM CPU、I
 https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-x.x.x.tgz
 
 # 下载部署示例代码
+git clone https://github.com/PaddlePaddle/FastDeploy.git
+cd D:\FastDeploy\examples\vision\ocr\PP-OCR\cpu-gpu\csharp
+
+# 如果您希望从PaddleOCR下载示例代码，请运行
 git clone https://github.com/PaddlePaddle/PaddleOCR.git
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到dygraph分支
+git checkout dygraph
 cd D:\PaddleOCR\deploy\fastdeploy\cpu-gpu\csharp
 
 mkdir build && cd build

deploy/fastdeploy/cpu-gpu/python/README.md

@@ -18,7 +18,13 @@ pip install fastdeploy-gpu-python -f https://www.paddlepaddle.org.cn/whl/fastdep
 conda config --add channels conda-forge && conda install cudatoolkit=11.2 cudnn=8.2
 
 # 下载部署示例代码
+git clone https://github.com/PaddlePaddle/FastDeploy.git
+cd  FastDeploy/examples/vision/ocr/PP-OCR/cpu-gpu/python
+
+# 如果您希望从PaddleOCR下载示例代码，请运行
 git clone https://github.com/PaddlePaddle/PaddleOCR.git
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到dygraph分支
+git checkout dygraph
 cd PaddleOCR/deploy/fastdeploy/cpu-gpu/python
 
 # 下载PP-OCRv3文字检测模型

deploy/fastdeploy/cpu-gpu/python/infer.py

@@ -87,7 +87,7 @@ def build_option(args):
 
         # If use TRT backend, the dynamic shape will be set as follow.
         # We recommend that users set the length and height of the detection model to a multiple of 32.
-        # We also recommend that users set the Trt input shape as follow. 
+        # We also recommend that users set the Trt input shape as follow.
         det_option.set_trt_input_shape("x", [1, 3, 64, 64], [1, 3, 640, 640],
                                        [1, 3, 960, 960])
         cls_option.set_trt_input_shape("x", [1, 3, 48, 10],
@@ -97,7 +97,7 @@ def build_option(args):
                                        [args.rec_bs, 3, 48, 320],
                                        [args.rec_bs, 3, 48, 2304])
 
-        # Users could save TRT cache file to disk as follow. 
+        # Users could save TRT cache file to disk as follow.
         det_option.set_trt_cache_file(args.det_model + "/det_trt_cache.trt")
         cls_option.set_trt_cache_file(args.cls_model + "/cls_trt_cache.trt")
         rec_option.set_trt_cache_file(args.rec_model + "/rec_trt_cache.trt")
@@ -119,7 +119,7 @@ def build_option(args):
 
         # If use TRT backend, the dynamic shape will be set as follow.
         # We recommend that users set the length and height of the detection model to a multiple of 32.
-        # We also recommend that users set the Trt input shape as follow. 
+        # We also recommend that users set the Trt input shape as follow.
         det_option.set_trt_input_shape("x", [1, 3, 64, 64], [1, 3, 640, 640],
                                        [1, 3, 960, 960])
         cls_option.set_trt_input_shape("x", [1, 3, 48, 10],
@@ -129,7 +129,7 @@ def build_option(args):
                                        [args.rec_bs, 3, 48, 320],
                                        [args.rec_bs, 3, 48, 2304])
 
-        # Users could save TRT cache file to disk as follow. 
+        # Users could save TRT cache file to disk as follow.
         det_option.set_trt_cache_file(args.det_model)
         cls_option.set_trt_cache_file(args.cls_model)
         rec_option.set_trt_cache_file(args.rec_model)
@@ -199,8 +199,8 @@ ppocr_v3 = fd.vision.ocr.PPOCRv3(
     det_model=det_model, cls_model=cls_model, rec_model=rec_model)
 
 # Set inference batch size for cls model and rec model, the value could be -1 and 1 to positive infinity.
-# When inference batch size is set to -1, it means that the inference batch size 
-# of the cls and rec models will be the same as the number of boxes detected by the det model. 
+# When inference batch size is set to -1, it means that the inference batch size
+# of the cls and rec models will be the same as the number of boxes detected by the det model.
 ppocr_v3.cls_batch_size = args.cls_bs
 ppocr_v3.rec_batch_size = args.rec_bs
 

deploy/fastdeploy/kunlun/cpp/CMakeLists.txt → deploy/fastdeploy/kunlunxin/cpp/CMakeLists.txt

@@ -12,4 +12,3 @@ include_directories(${FASTDEPLOY_INCS})
 add_executable(infer_demo ${PROJECT_SOURCE_DIR}/infer.cc)
 # 添加FastDeploy库依赖
 target_link_libraries(infer_demo ${FASTDEPLOY_LIBS})
-

deploy/fastdeploy/kunlun/cpp/README.md → deploy/fastdeploy/kunlunxin/cpp/README.md

@@ -12,8 +12,14 @@
 ## 3.运行部署示例
 ```
 # 下载部署示例代码
+git clone https://github.com/PaddlePaddle/FastDeploy.git
+cd  FastDeploy/examples/vision/ocr/PP-OCR/kunlunxin/cpp
+
+# 如果您希望从PaddleOCR下载示例代码，请运行
 git clone https://github.com/PaddlePaddle/PaddleOCR.git
-cd PaddleOCR/deploy/fastdeploy/PP-OCRv3/kunlunxin/cpp
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到dygraph分支
+git checkout dygraph
+cd PaddleOCR/deploy/fastdeploy/kunlunxin/cpp
 
 mkdir build
 cd build

deploy/fastdeploy/kunlun/python/README.md → deploy/fastdeploy/kunlunxin/python/README.md

@@ -12,8 +12,14 @@
 ## 3.运行部署示例
 ```
 # 下载部署示例代码
+git clone https://github.com/PaddlePaddle/FastDeploy.git
+cd  FastDeploy/examples/vision/ocr/PP-OCR/kunlunxin/python
+
+# 如果您希望从PaddleOCR下载示例代码，请运行
 git clone https://github.com/PaddlePaddle/PaddleOCR.git
-cd PaddleOCR/deploy/fastdeploy/PP-OCRv3/kunlunxin/python
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到dygraph分支
+git checkout dygraph
+cd PaddleOCR/deploy/fastdeploy/kunlunxin/python
 
 # 下载PP-OCRv3文字检测模型
 wget https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_infer.tar

deploy/fastdeploy/kunlun/python/infer.py → deploy/fastdeploy/kunlunxin/python/infer.py

@@ -92,8 +92,8 @@ ppocr_v3 = fd.vision.ocr.PPOCRv3(
     det_model=det_model, cls_model=cls_model, rec_model=rec_model)
 
 # Set inference batch size for cls model and rec model, the value could be -1 and 1 to positive infinity.
-# When inference batch size is set to -1, it means that the inference batch size 
-# of the cls and rec models will be the same as the number of boxes detected by the det model. 
+# When inference batch size is set to -1, it means that the inference batch size
+# of the cls and rec models will be the same as the number of boxes detected by the det model.
 ppocr_v3.cls_batch_size = args.cls_bs
 ppocr_v3.rec_batch_size = args.rec_bs
 

deploy/fastdeploy/rockchip/cpp/README.md

@@ -67,8 +67,14 @@ python rockchip/rknpu2_tools/export.py --config_path tools/rknpu2/config/ppocrv3
 
 ```
 # 下载部署示例代码
+git clone https://github.com/PaddlePaddle/FastDeploy.git
+cd  FastDeploy/examples/vision/ocr/PP-OCR/rockchip/cpp
+
+# 如果您希望从PaddleOCR下载示例代码，请运行
 git clone https://github.com/PaddlePaddle/PaddleOCR.git
-cd PaddleOCR/deploy/fastdeploy/PP-OCRv3/rockchip/cpp
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到dygraph分支
+git checkout dygraph
+cd PaddleOCR/deploy/fastdeploy/rockchip/cpp
 
 mkdir build
 cd build

deploy/fastdeploy/rockchip/python/README.md

@@ -71,8 +71,15 @@ wget https://gitee.com/paddlepaddle/PaddleOCR/raw/release/2.6/doc/imgs/12.jpg
 wget https://gitee.com/paddlepaddle/PaddleOCR/raw/release/2.6/ppocr/utils/ppocr_keys_v1.txt
 
 # 下载部署示例代码
+# 下载部署示例代码
+git clone https://github.com/PaddlePaddle/FastDeploy.git
+cd  FastDeploy/examples/vision/ocr/PP-OCR/rockchip/python
+
+# 如果您希望从PaddleOCR下载示例代码，请运行
 git clone https://github.com/PaddlePaddle/PaddleOCR.git
-cd PaddleOCR/deploy/fastdeploy/PP-OCRv3/rockchip/python
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到dygraph分支
+git checkout dygraph
+cd PaddleOCR/deploy/fastdeploy/rockchip/python
 
 
 # CPU推理

deploy/fastdeploy/serving/fastdeploy_serving/README.md

@@ -30,7 +30,14 @@ PP-OCRv3由det(检测)、cls(分类)和rec(识别)三个模型组成.
 ### 3.1 下载模型并使用服务化Docker
 ```bash
 # 下载仓库代码
+# 下载部署示例代码
+git clone https://github.com/PaddlePaddle/FastDeploy.git
+cd  FastDeploy/examples/vision/ocr/PP-OCR/serving/fastdeploy_serving
+
+# 如果您希望从PaddleOCR下载示例代码，请运行
 git clone https://github.com/PaddlePaddle/PaddleOCR.git
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到dygraph分支
+git checkout dygraph
 cd PaddleOCR/deploy/fastdeploy/serving/fastdeploy_serving
 
 # 下载模型,图片和字典文件

deploy/fastdeploy/serving/simple_serving/README.md

@@ -14,7 +14,13 @@ PaddleOCR Python轻量服务化部署是FastDeploy基于Flask框架搭建的可
 ## 2. 启动服务
 ```bash
 # 下载部署示例代码
+git clone https://github.com/PaddlePaddle/FastDeploy.git
+cd  FastDeploy/examples/vision/ocr/PP-OCR/serving/simple_serving
+
+# 如果您希望从PaddleOCR下载示例代码，请运行
 git clone https://github.com/PaddlePaddle/PaddleOCR.git
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到dygraph分支
+git checkout dygraph
 cd PaddleOCR/deploy/fastdeploy/serving/simple_serving
 
 # 下载模型和字典文件

deploy/fastdeploy/sophgo/cpp/README.md

@@ -22,7 +22,13 @@
 ### 3.1 下载部署示例代码
 ```bash
 # 下载部署示例代码
+git clone https://github.com/PaddlePaddle/FastDeploy.git
+cd  FastDeploy/examples/vision/ocr/PP-OCR/sophgo/cpp
+
+# 如果您希望从PaddleOCR下载示例代码，请运行
 git clone https://github.com/PaddlePaddle/PaddleOCR.git
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到dygraph分支
+git checkout dygraph
 cd PaddleOCR/deploy/fastdeploy/sophgo/cpp
 ```
 

deploy/fastdeploy/sophgo/python/README.md

@@ -15,7 +15,13 @@
 ### 2.2 开始部署
 ```bash
 # 下载部署示例代码
+git clone https://github.com/PaddlePaddle/FastDeploy.git
+cd  FastDeploy/examples/vision/ocr/PP-OCR/sophgo/python
+
+# 如果您希望从PaddleOCR下载示例代码，请运行
 git clone https://github.com/PaddlePaddle/PaddleOCR.git
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到dygraph分支
+git checkout dygraph
 cd PaddleOCR/deploy/fastdeploy/sophgo/python
 
 # 下载图片