sladro
e13cb3659c
- 创建基本项目结构和目录 - 添加CMake构建系统 - 实现基础的配置解析功能 - 添加YOLO推理框架支持 - 集成RTSP和视频流处理功能 - 添加性能监控和日志系统
134 lines
2.3 KiB
Markdown
134 lines
2.3 KiB
Markdown
# 构建指南
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## 依赖项
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### 必需依赖
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- CMake (>= 3.10)
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- OpenCV (>= 4.0)
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- 需要包含 videoio 模块（用于 RTSP 流读取）
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- 需要包含 imgproc 模块（用于图像处理）
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- yaml-cpp (用于配置文件解析)
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- GTest (用于单元测试)
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- TensorRT (8.6)
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### 可选依赖
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- CUDA (用于 GPU 加速)
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## 安装依赖
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### Ubuntu/Debian
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```bash
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# 安装基本开发工具
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sudo apt-get update
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sudo apt-get install -y build-essential cmake git
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# 安装 OpenCV
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sudo apt-get install -y libopencv-dev
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# 安装 yaml-cpp
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sudo apt-get install -y libyaml-cpp-dev
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# 安装 GTest
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sudo apt-get install -y libgtest-dev
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```
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### CentOS/RHEL
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```bash
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# 安装基本开发工具
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sudo yum groupinstall -y "Development Tools"
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sudo yum install -y cmake git
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# 安装 OpenCV
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sudo yum install -y opencv-devel
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# 安装 yaml-cpp
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sudo yum install -y yaml-cpp-devel
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# 安装 GTest
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sudo yum install -y gtest-devel
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```
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## 构建步骤
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1. 克隆仓库
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```bash
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git clone https://github.com/your-repo/trt_pipeline.git
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cd trt_pipeline
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```
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2. 创建构建目录
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```bash
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mkdir build
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cd build
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```
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3. 配置项目
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```bash
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cmake ..
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```
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4. 编译
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```bash
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make -j4
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```
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5. 运行测试
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```bash
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ctest -V
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```
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## 配置说明
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1. 创建配置文件
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```bash
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cp config/config.yaml.example config/config.yaml
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```
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2. 编辑配置文件，设置 RTSP 参数：
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```yaml
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rtsp:
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url: "rtsp://your-camera-url"
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buffer_size: 30
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max_retry_count: 3
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retry_interval_ms: 1000
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frame_timeout_ms: 5000
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target_fps: 30.0
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```
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## 常见问题
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### OpenCV 相关
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1. 找不到 OpenCV
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```
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CMake Error: Could not find OpenCV
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```
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解决方案：确保已安装 OpenCV 开发包
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2. RTSP 流无法打开
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```
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VIDEOIO ERROR: V4L: can't open camera by index {index}
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```
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解决方案：
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- 检查 RTSP URL 是否正确
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- 检查网络连接
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- 确认 OpenCV 是否支持 FFMPEG 后端
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```bash
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# 检查 OpenCV 是否支持 FFMPEG
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opencv_version -v
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```
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### 编译相关
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1. 编译错误：找不到头文件
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```
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fatal error: opencv2/videoio.hpp: No such file or directory
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```
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解决方案：安装 OpenCV 开发包
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2. 链接错误
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```
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undefined reference to `cv::VideoCapture::VideoCapture()'
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```
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解决方案：确保正确链接了 OpenCV 库
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