add model train doc of PP-OCRv2 and PP-OCRv3 (#5556)

* add PP-OCRv2

* add PP-OCRv2 benckmark

* update app

* update introduction

* update PP-OCRv2 introduction

* add pipeline of PP-OCRv2

* add PP-OCRv3

* update benckmark

* add paddleocr to requirements

* update

* support paddleocr 2.6.0.1

* rm print code

* add image download

* add model train

modelcenter/PP-OCRv2/introduction_cn.ipynb

@@ -53,7 +53,7 @@
    "source": [
     "## 3. 模型如何使用\n",
     "\n",
-    "### 3.1 模型推理：\n",
+    "### 3.1 模型推理\n",
     "* 安装PaddleOCR whl包"
    ]
   },
@@ -90,7 +90,8 @@
    "outputs": [],
    "source": [
     "# 命令行使用\n",
-    "! paddleocr --image_dir PaddleOCR/doc/imgs/11.jpg --use_angle_cls true --ocr_version PP-OCRv2"
+    "! wget https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/dygraph/doc/imgs/11.jpg\n",
+    "! paddleocr --image_dir 11.jpg --use_angle_cls true --ocr_version PP-OCRv2"
    ]
   },
   {
@@ -108,6 +109,23 @@
     "\n"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 3.2 模型训练\n",
+    "PP-OCR系统由文本检测模型、方向分类器和文本识别模型构成，三个模型训练教程可参考如下文档:\n",
+    "1. 文本检测模型：[文本检测训练教程](https://github.com/PaddlePaddle/PaddleOCR/blob/release%2F2.6/doc/doc_ch/detection.md)\n",
+    "1. 方向分类器: [方向分类器训练教程](https://github.com/PaddlePaddle/PaddleOCR/blob/release%2F2.6/doc/doc_ch/angle_class.md)\n",
+    "1. 文本识别模型：[文本识别训练教程](https://github.com/PaddlePaddle/PaddleOCR/blob/release%2F2.6/doc/doc_ch/recognition.md)\n",
+    "\n",
+    "模型训练完成后，可以通过指定模型路径的方式串联使用\n",
+    "命令参考如下：\n",
+    "```python\n",
+    "paddleocr --image_dir 11.jpg --use_angle_cls true --ocr_version PP-OCRv2 --det_model_dir=/path/to/det_inference_model --cls_model_dir=/path/to/cls_inference_model --rec_model_dir=/path/to/rec_inference_model\n",
+    "```"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},

modelcenter/PP-OCRv2/introduction_en.ipynb

@@ -89,7 +89,8 @@
    "outputs": [],
    "source": [
     "# command line usage\n",
-    "! paddleocr --image_dir PaddleOCR/doc/imgs/11.jpg --use_angle_cls true --ocr_version PP-OCRv2"
+    "! wget https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/dygraph/doc/imgs/11.jpg\n",
+    "! paddleocr --image_dir 11.jpg --use_angle_cls true --ocr_version PP-OCRv2"
    ]
   },
   {
@@ -107,6 +108,22 @@
     "\n"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 3.2 Train the model.\n",
+    "The PP-OCR system consists of a text detection model, an angle classifier and a text recognition model. For the three model training tutorials, please refer to the following documents:\n",
+    "1. text detection model: [text detection training tutorial](https://github.com/PaddlePaddle/PaddleOCR/blob/release%2F2.6/doc/doc_ch/detection.md)\n",
+    "1. angle classifier: [angle classifier training tutorial](https://github.com/PaddlePaddle/PaddleOCR/blob/release%2F2.6/doc/doc_ch/angle_class.md)\n",
+    "1. text recognition model: [text recognition training tutorial](https://github.com/PaddlePaddle/PaddleOCR/blob/release%2F2.6/doc/doc_ch/recognition.md)\n",
+    "\n",
+    "After the model training is completed, it can be used in series by specifying the model path. The command reference is as follows:\n",
+    "```python\n",
+    "paddleocr --image_dir 11.jpg --use_angle_cls true --ocr_version PP-OCRv2 --det_model_dir=/path/to/det_inference_model --cls_model_dir=/path/to/cls_inference_model --rec_model_dir=/path/to/rec_inference_model\n",
+    "```"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},

modelcenter/PP-OCRv3/introduction_cn.ipynb

@@ -104,7 +104,8 @@
    "outputs": [],
    "source": [
     "# 命令行使用\n",
-    "! paddleocr --image_dir PaddleOCR/doc/imgs/11.jpg --use_angle_cls true"
+    "! wget https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/dygraph/doc/imgs/11.jpg\n",
+    "! paddleocr --image_dir 11.jpg --use_angle_cls true"
    ]
   },
   {
@@ -122,6 +123,23 @@
     "\n"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 3.2 模型训练\n",
+    "PP-OCR系统由文本检测模型、方向分类器和文本识别模型构成，三个模型训练教程可参考如下文档:\n",
+    "1. 文本检测模型：[文本检测训练教程](https://github.com/PaddlePaddle/PaddleOCR/blob/release%2F2.6/doc/doc_ch/detection.md)\n",
+    "1. 方向分类器: [方向分类器训练教程](https://github.com/PaddlePaddle/PaddleOCR/blob/release%2F2.6/doc/doc_ch/angle_class.md)\n",
+    "1. 文本识别模型：[文本识别训练教程](https://github.com/PaddlePaddle/PaddleOCR/blob/release%2F2.6/doc/doc_ch/recognition.md)\n",
+    "\n",
+    "模型训练完成后，可以通过指定模型路径的方式串联使用\n",
+    "命令参考如下：\n",
+    "```python\n",
+    "paddleocr --image_dir 11.jpg --use_angle_cls true --ocr_version PP-OCRv2 --det_model_dir=/path/to/det_inference_model --cls_model_dir=/path/to/cls_inference_model --rec_model_dir=/path/to/rec_inference_model\n",
+    "```"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},

modelcenter/PP-OCRv3/introduction_en.ipynb

@@ -106,7 +106,8 @@
    "outputs": [],
    "source": [
     "# command line usage\n",
-    "! paddleocr --image_dir PaddleOCR/doc/imgs/11.jpg --use_angle_cls true"
+    "! wget https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/dygraph/doc/imgs/11.jpg\n",
+    "! paddleocr --image_dir 11.jpg --use_angle_cls true"
    ]
   },
   {
@@ -124,6 +125,22 @@
     "\n"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 3.2 Train the model.\n",
+    "The PP-OCR system consists of a text detection model, an angle classifier and a text recognition model. For the three model training tutorials, please refer to the following documents:\n",
+    "1. text detection model: [text detection training tutorial](https://github.com/PaddlePaddle/PaddleOCR/blob/release%2F2.6/doc/doc_ch/detection.md)\n",
+    "1. angle classifier: [angle classifier training tutorial](https://github.com/PaddlePaddle/PaddleOCR/blob/release%2F2.6/doc/doc_ch/angle_class.md)\n",
+    "1. text recognition model: [text recognition training tutorial](https://github.com/PaddlePaddle/PaddleOCR/blob/release%2F2.6/doc/doc_ch/recognition.md)\n",
+    "\n",
+    "After the model training is completed, it can be used in series by specifying the model path. The command reference is as follows:\n",
+    "```python\n",
+    "paddleocr --image_dir 11.jpg --use_angle_cls true --ocr_version PP-OCRv2 --det_model_dir=/path/to/det_inference_model --cls_model_dir=/path/to/cls_inference_model --rec_model_dir=/path/to/rec_inference_model\n",
+    "```"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},