[PaddlePaddle Hackathon4 No.184] Add PaddleDetection Models Deployment Rust Examples (#1717)

* [PaddlePaddle Hackathon4 No.186] Add PaddleDetection Models Deployment Go Examples Signed-off-by: wanziyu <ziyuwan@zju.edu.cn> * Fix YOLOv8 Deployment Go Example Signed-off-by: wanziyu <ziyuwan@zju.edu.cn> * [Hackathon4 No.184] Add PaddleDetection Models Deployment Rust Examples Signed-off-by: wanziyu <ziyuwan@zju.edu.cn> * Add main and cargo files in examples Signed-off-by: wanziyu <ziyuwan@zju.edu.cn> --------- Signed-off-by: wanziyu <ziyuwan@zju.edu.cn> Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
2026-04-23 17:11:21 +08:00 · 2023-04-03 11:19:28 +08:00
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+[English](README.md) | 简体中文
+# PaddleDetection Rust 部署示例
+
+本目录下提供`main.rs`和`build.rs`, 使用Rust的`bindgen`库调用FastDeploy C API快速完成PaddleDetection模型PPYOLOE在CPU/GPU上部署的示例
+
+在部署前，需确认以下三个步骤
+
+- 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. 根据开发环境，下载预编译部署库和samples代码，参考[FastDeploy预编译库](../../../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
+- 3. 根据开发环境，使用Rustup安装[Rust](https://www.rust-lang.org/tools/install)
+
+以Linux上推理为例，在本目录执行如下命令即可完成编译测试，支持此模型需保证FastDeploy版本1.0.4以上(x.x.x>1.0.4)或FastDeploy的Develop版本(x.x.x=0.0.0)
+### 使用Rust和bindgen进行PPYOLOE模型推理部署
+
+在当前目录下，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
+```bash
+wget https://fastdeploy.bj.bcebos.com/dev/cpp/fastdeploy-linux-x64-0.0.0.tgz
+tar xvf fastdeploy-linux-x64-0.0.0.tgz
+```
+
+下载PPYOLOE模型文件和测试图片
+```bash
+wget https://bj.bcebos.com/paddlehub/fastdeploy/ppyoloe_crn_l_300e_coco.tgz
+wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
+tar xvf ppyoloe_crn_l_300e_coco.tgz
+```
+
+配置`build.rs`中的`cargo:rustc-link-search`参数配置为FastDeploy动态库路径，动态库位于预编译库的`/lib`目录中，`cargo:rustc-link-lib`参数配置为FastDeploy动态库`fastdeploy`，`headers_dir`变量配置为FastDeploy C API目录的路径
+```bash
+println!("cargo:rustc-link-search=./fastdeploy-linux-x64-0.0.0/lib");
+println!("cargo:rustc-link-lib=fastdeploy");
+let headers_dir = PathBuf::from("./fastdeploy-linux-x64-0.0.0/include");
+```
+
+将FastDeploy的库路径添加到环境变量
+```bash
+source /Path/to/fastdeploy-linux-x64-0.0.0/fastdeploy_init.sh 
+```
+
+使用Cargo编译Rust项目
+```bash
+cargo build
+```
+
+编译完成后，使用如下命令执行可得到预测结果
+```bash
+# CPU推理
+cargo run -- --model ./ppyoloe_crn_l_300e_coco --image 000000014439.jpg --device 0
+# GPU推理
+cargo run -- --model ./ppyoloe_crn_l_300e_coco --image 000000014439.jpg --device 1
+```
+
+可视化的检测结果图片保存在本地`vis_result_ppyoloe.jpg`