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63 lines
1.7 KiB
Markdown
63 lines
1.7 KiB
Markdown
# PaddleDetection C++部署示例
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本目录下提供`infer_ppyoloe.cc`,`infer_yolov8.cc`和`infer_picodet.cc`快速完成PP-YOLOE模型,YOLOV8模型和PicoDet模型在SOPHGO BM1684x板子上加速部署的示例。
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在部署前，需确认以下两个步骤:
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1. 软硬件环境满足要求
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2. 根据开发环境，从头编译FastDeploy仓库
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以上步骤请参考[SOPHGO部署库编译](../../../../../../docs/cn/build_and_install/sophgo.md)实现
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## 生成基本目录文件
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该例程由以下几个部分组成
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```text
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.
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├── CMakeLists.txt
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├── build # 编译文件夹
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├── image # 存放图片的文件夹
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├── infer_ppyoloe.cc
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├── infer_picodet.cc
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├── infer_yolov8.cc
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└── model # 存放模型文件的文件夹
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```
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## 编译
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### 编译并拷贝SDK到thirdpartys文件夹
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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.
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### 拷贝模型文件，以及配置文件至model文件夹
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将Paddle模型转换为SOPHGO bmodel模型，转换步骤参考[文档](../README.md)
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将转换后的SOPHGO bmodel模型文件拷贝至model中
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### 准备测试图片至image文件夹
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```bash
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wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
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cp 000000014439.jpg ./images
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```
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### 编译example
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```bash
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cd build
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cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-0.0.3
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make
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```
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## 运行例程
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```bash
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#ppyoloe推理示例
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./infer_ppyoloe model images/000000014439.jpg
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#picodet推理示例
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./infer_picodet model images/000000014439.jpg
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```
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- [模型介绍](../../)
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- [模型转换](../)
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