[Backend] add sophgo backend (#1015)

* Add Sophgo Device

add sophgo backend in fastdeploy

add resnet50, yolov5s, liteseg examples.

* replace sophgo lib with download links; fix model.cc bug

* modify CodeStyle

* remove unuseful files;change the names of sophgo device and sophgo
backend

* sophgo support python and add python examples

* remove unuseful rows in cmake according pr

Co-authored-by: Zilong Xing <zilong.xing@sophgo.com>
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Dantès
2023-01-04 15:49:17 +08:00
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commit 34bea7649d
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# YOLOv5 C++部署示例
本目录下提供`infer.cc`快速完成yolov5s模型在SOPHGO BM1684x板子上加速部署的示例。
在部署前,需确认以下两个步骤:
1. 软硬件环境满足要求
2. 根据开发环境从头编译FastDeploy仓库
以上步骤请参考[SOPHGO部署库编译](../../../../../../docs/cn/build_and_install/sophgo.md)实现
## 生成基本目录文件
该例程由以下几个部分组成
```text
.
├── CMakeLists.txt
├── build # 编译文件夹
├── image # 存放图片的文件夹
├── infer.cc
└── model # 存放模型文件的文件夹
```
## 编译
### 编译并拷贝SDK到thirdpartys文件夹
请参考[SOPHGO部署库编译](../../../../../../docs/cn/build_and_install/sophgo.md)仓库编译SDK编译完成后将在build目录下生成fastdeploy-0.0.3目录.
### 拷贝模型文件以及配置文件至model文件夹
将Paddle模型转换为SOPHGO bmodel模型转换步骤参考[文档](../README.md)
将转换后的SOPHGO bmodel模型文件拷贝至model中
### 准备测试图片至image文件夹
```bash
wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
cp 000000014439.jpg ./images
```
### 编译example
```bash
cd build
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-0.0.3
make
```
## 运行例程
```bash
./infer_demo model images/000000014439.jpg
```
- [模型介绍](../../)
- [模型转换](../)