[Doc]Add English version of documents in examples (#1070)

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update README_EN.md

* Rename README_EN.md to README_CN.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update README_EN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update README_EN.md

* Rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update README.md

* Update README.md

* Update README_CN.md

* Update README.md

* Update README_CN.md

* Update README_CN.md

* Update README.md

* Update README_CN.md

* Update README.md

* Update README_CN.md

* Update README.md

* Update README_CN.md

* Update README.md

* Update README_CN.md

* Update README_CN.md

* Update README.md

* Update README.md

* Update README_CN.md

* Update README.md

* Update README_CN.md

* Update README_CN.md

* Update README.md

* Update README_CN.md

* Update README.md

* Update README_CN.md

* Update README.md

* Update README_CN.md

* Update README.md

* Update README_CN.md

* Update README.md

* Update README.md

* Update and rename README_CN.md to README_EN.md

* Update README_CN.md

* Update README.md

* Update README_CN.md

* Update README.md

* Update README.md

* Update README_CN.md

* Update README.md

* Update README_CN.md

* Update README.md

* Update README_CN.md

* Update README.md

* Update README_CN.md

* Update README_CN.md

* Update README.md

* Update README_CN.md

* Update README.md

* Update and rename README_EN.md to README_CN.md

* Update README.md

* Update README_CN.md

* Update README.md

* Update README_CN.md

* Update README.md

* Update README_CN.md

* Update README_CN.md

* Update README.md

* Update export.md

* Create export_cn.md

* Update README.md

* Create README_CN.md

* Update README.md

* Create README_CN.md
This commit is contained in:
Hu Chuqi
2023-01-06 09:34:28 +08:00
committed by GitHub
parent c9a086ec38
commit bb96a6fe8f
313 changed files with 14807 additions and 4810 deletions

View File

@@ -1,81 +1,81 @@
# YOLOv7End2EndTRT Python部署示例
English | [简体中文](README_CN.md)
# YOLOv7End2EndTRT Python Deployment Example
在部署前,需确认以下两个步骤
Two steps before deployment
- 1. 软硬件环境满足要求,参考[FastDeploy环境要求](../../../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
- 2. FastDeploy Python whl包安装,参考[FastDeploy Python安装](../../../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
本目录下提供`infer.py`快速完成YOLOv7End2EndTRT在TensorRT加速部署的示例。执行如下脚本即可完成
- 1. Software and hardware should meet the requirements. Please refer to [FastDeploy Environment Requirements](../../../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
- 2. Install FastDeploy Python whl p ackage. Refer to [FastDeploy Python Installation](../../../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
This directory provides examples that `infer.py` fast finishes the deployment of YOLOv7End2EndTRT accelerated by TensorRT. The script is as follows
```bash
#下载部署示例代码
# Download the example code for deployment
git clone https://github.com/PaddlePaddle/FastDeploy.git
cd FastDeploy/examples/vision/detection/yolov7end2end_trt/python/
#下载yolov7模型文件和测试图片
# Download yolov7 model files and test images
wget https://bj.bcebos.com/paddlehub/fastdeploy/yolov7-end2end-trt-nms.onnx
wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
# TensorRT GPU推理
# TensorRT inference on GPU
python infer.py --model yolov7-end2end-trt-nms.onnx --image 000000014439.jpg --device gpu --use_trt True
# 若安装的python包没有支持该类 则请自行从源码develop分支编译最新的FastDeploy Python Wheel包进行安装
# If it is not supported by the python package, compile the latest FastDeploy Python Wheel package from the source code in develop branch and install it.
```
运行完成可视化结果如下图所示
The visualized result after running is as follows
<div align='center'>
<img width="640" alt="image" src="https://user-images.githubusercontent.com/31974251/186605967-ad0c53f2-3ce8-4032-a90f-6f5c1238e7f4.png">
</div>
注意,YOLOv7End2EndTRT 是专门用于推理YOLOv7中导出模型带[TRT_NMS](https://github.com/WongKinYiu/yolov7/blob/main/models/experimental.py#L111) 版本的End2End模型不带nms的模型推理请使用YOLOv7类 [ORT_NMS](https://github.com/WongKinYiu/yolov7/blob/main/models/experimental.py#L87) 版本的End2End模型请使用YOLOv7End2EndORT进行推理。
Attention: YOLOv7End2EndTRT is designed for the inference of End2End models with [TRT_NMS](https://github.com/WongKinYiu/yolov7/blob/main/models/experimental.py#L111) among the YOLOv7 exported models. For models without nms, use YOLOv7 class for inference. For End2End models with [ORT_NMS](https://github.com/WongKinYiu/yolov7/blob/main/models/experimental.py#L87), use YOLOv7End2EndTRT for inference.
## YOLOv7End2EndTRT Python接口
## YOLOv7End2EndTRT Python Interface
```python
fastdeploy.vision.detection.YOLOv7End2EndTRT(model_file, params_file=None, runtime_option=None, model_format=ModelFormat.ONNX)
```
YOLOv7End2EndTRT 模型加载和初始化其中model_file为导出的ONNX模型格式
YOLOv7End2EndTRT model loading and initialization, among which model_file is the exported ONNX model format
**参数**
**Parameter**
> * **model_file**(str): 模型文件路径
> * **params_file**(str): 参数文件路径当模型格式为ONNX格式时此参数无需设定
> * **runtime_option**(RuntimeOption): 后端推理配置默认为None即采用默认配置
> * **model_format**(ModelFormat): 模型格式默认为ONNX
> * **model_file**(str): Model file path
> * **params_file**(str): Parameter file path. No need to set when the model is in ONNX format
> * **runtime_option**(RuntimeOption): Backend inference configuration. None by default, which is the default configuration
> * **model_format**(ModelFormat): Model format. ONNX format by default
### predict函数
### predict function
> ```python
> YOLOv7End2EndTRT.predict(image_data, conf_threshold=0.25)
> ```
>
> 模型预测结口,输入图像直接输出检测结果。
> Model prediction interface. Input images and output detection results.
>
> **参数**
> **Parameter**
>
> > * **image_data**(np.ndarray): 输入数据注意需为HWCBGR格式
> > * **conf_threshold**(float): 检测框置信度过滤阈值但由于YOLOv7 End2End的模型在导出成ONNX时已经指定了score阈值因此该参数只有在大于已经指定的阈值时才会有效。
> > * **image_data**(np.ndarray): Input data in HWC or BGR format
> > * **conf_threshold**(float): Filtering threshold of detection box confidence. But considering that YOLOv7 End2End models have a score threshold specified during ONNX export, this parameter will be effective when being greater than the specified one.
> **返回**
> **Return**
>
> > 返回`fastdeploy.vision.DetectionResult`结构体,结构体说明参考文档[视觉模型预测结果](../../../../../docs/api/vision_results/)
> > Return `fastdeploy.vision.DetectionResult` structure. Refer to [Vision Model Prediction Results](../../../../../docs/api/vision_results/) for its description.
### 类成员属性
#### 预处理参数
用户可按照自己的实际需求,修改下列预处理参数,从而影响最终的推理和部署效果
### Class Member Property
#### Pre-processing Parameter
Users can modify the following pre-processing parameters to their needs, which affects the final inference and deployment results
> > * **size**(list[int]): 通过此参数修改预处理过程中resize的大小包含两个整型元素表示[width, height], 默认值为[640, 640]
> > * **padding_value**(list[float]): 通过此参数可以修改图片在resize时候做填充(padding)的值, 包含三个浮点型元素, 分别表示三个通道的值, 默认值为[114, 114, 114]
> > * **is_no_pad**(bool): 通过此参数让图片是否通过填充的方式进行resize, `is_no_pad=True` 表示不使用填充的方式,默认值为`is_no_pad=False`
> > * **is_mini_pad**(bool): 通过此参数可以将resize之后图像的宽高这是为最接近`size`成员变量的值, 并且满足填充的像素大小是可以被`stride`成员变量整除的。默认值为`is_mini_pad=False`
> > * **stride**(int): 配合`stris_mini_padide`成员变量使用, 默认值为`stride=32`
> > * **size**(list[int]): This parameter changes resize used during preprocessing, containing two integer elements for [width, height] with default value [640, 640]
> > * **padding_value**(list[float]): This parameter is used to change the padding value of images during resize, containing three floating-point elements that represent the value of three channels. Default value [114, 114, 114]
> > * **is_no_pad**(bool): Specify whether to resize the image through padding. `is_no_pad=True` represents no paddling. Default `is_no_pad=False`
> > * **is_mini_pad**(bool): This parameter sets the width and height of the image after resize to the value nearest to the `size` member variable and to the point where the padded pixel size is divisible by the `stride` member variable. Default `is_mini_pad=False`
> > * **stride**(int): Used with the `stris_mini_padide` member variable. Default `stride=32`
## 其它文档
## Other Documents
- [YOLOv7End2EndTRT 模型介绍](..)
- [YOLOv7End2EndTRT C++部署](../cpp)
- [模型预测结果说明](../../../../../docs/api/vision_results/)
- [如何切换模型推理后端引擎](../../../../../docs/cn/faq/how_to_change_backend.md)
- [YOLOv7End2EndTRT Model Description](..)
- [YOLOv7End2EndTRT C++ Deployment](../cpp)
- [Model Prediction Results](../../../../../docs/api/vision_results/)
- [How to switch the model inference backend engine](../../../../../docs/cn/faq/how_to_change_backend.md)

View File

@@ -0,0 +1,82 @@
[English](README.md) | 简体中文
# YOLOv7End2EndTRT Python部署示例
在部署前,需确认以下两个步骤
- 1. 软硬件环境满足要求,参考[FastDeploy环境要求](../../../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
- 2. FastDeploy Python whl包安装参考[FastDeploy Python安装](../../../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
本目录下提供`infer.py`快速完成YOLOv7End2EndTRT在TensorRT加速部署的示例。执行如下脚本即可完成
```bash
#下载部署示例代码
git clone https://github.com/PaddlePaddle/FastDeploy.git
cd FastDeploy/examples/vision/detection/yolov7end2end_trt/python/
#下载yolov7模型文件和测试图片
wget https://bj.bcebos.com/paddlehub/fastdeploy/yolov7-end2end-trt-nms.onnx
wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
# TensorRT GPU推理
python infer.py --model yolov7-end2end-trt-nms.onnx --image 000000014439.jpg --device gpu --use_trt True
# 若安装的python包没有支持该类 则请自行从源码develop分支编译最新的FastDeploy Python Wheel包进行安装
```
运行完成可视化结果如下图所示
<div align='center'>
<img width="640" alt="image" src="https://user-images.githubusercontent.com/31974251/186605967-ad0c53f2-3ce8-4032-a90f-6f5c1238e7f4.png">
</div>
注意YOLOv7End2EndTRT 是专门用于推理YOLOv7中导出模型带[TRT_NMS](https://github.com/WongKinYiu/yolov7/blob/main/models/experimental.py#L111) 版本的End2End模型不带nms的模型推理请使用YOLOv7类而 [ORT_NMS](https://github.com/WongKinYiu/yolov7/blob/main/models/experimental.py#L87) 版本的End2End模型请使用YOLOv7End2EndORT进行推理。
## YOLOv7End2EndTRT Python接口
```python
fastdeploy.vision.detection.YOLOv7End2EndTRT(model_file, params_file=None, runtime_option=None, model_format=ModelFormat.ONNX)
```
YOLOv7End2EndTRT 模型加载和初始化其中model_file为导出的ONNX模型格式
**参数**
> * **model_file**(str): 模型文件路径
> * **params_file**(str): 参数文件路径当模型格式为ONNX格式时此参数无需设定
> * **runtime_option**(RuntimeOption): 后端推理配置默认为None即采用默认配置
> * **model_format**(ModelFormat): 模型格式默认为ONNX
### predict函数
> ```python
> YOLOv7End2EndTRT.predict(image_data, conf_threshold=0.25)
> ```
>
> 模型预测结口,输入图像直接输出检测结果。
>
> **参数**
>
> > * **image_data**(np.ndarray): 输入数据注意需为HWCBGR格式
> > * **conf_threshold**(float): 检测框置信度过滤阈值但由于YOLOv7 End2End的模型在导出成ONNX时已经指定了score阈值因此该参数只有在大于已经指定的阈值时才会有效。
> **返回**
>
> > 返回`fastdeploy.vision.DetectionResult`结构体,结构体说明参考文档[视觉模型预测结果](../../../../../docs/api/vision_results/)
### 类成员属性
#### 预处理参数
用户可按照自己的实际需求,修改下列预处理参数,从而影响最终的推理和部署效果
> > * **size**(list[int]): 通过此参数修改预处理过程中resize的大小包含两个整型元素表示[width, height], 默认值为[640, 640]
> > * **padding_value**(list[float]): 通过此参数可以修改图片在resize时候做填充(padding)的值, 包含三个浮点型元素, 分别表示三个通道的值, 默认值为[114, 114, 114]
> > * **is_no_pad**(bool): 通过此参数让图片是否通过填充的方式进行resize, `is_no_pad=True` 表示不使用填充的方式,默认值为`is_no_pad=False`
> > * **is_mini_pad**(bool): 通过此参数可以将resize之后图像的宽高这是为最接近`size`成员变量的值, 并且满足填充的像素大小是可以被`stride`成员变量整除的。默认值为`is_mini_pad=False`
> > * **stride**(int): 配合`stris_mini_padide`成员变量使用, 默认值为`stride=32`
## 其它文档
- [YOLOv7End2EndTRT 模型介绍](..)
- [YOLOv7End2EndTRT C++部署](../cpp)
- [模型预测结果说明](../../../../../docs/api/vision_results/)
- [如何切换模型推理后端引擎](../../../../../docs/cn/faq/how_to_change_backend.md)