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Step 1: Install Microsoft Visual Studio
- Download and install Microsoft Visual Studio from the official website.
- During installation, make sure to select the "Desktop development with C++" workload.
Step 2: Set Up DepthAI
Download DepthAI SDK:
Install Dependencies:
- Install dependencies required by DepthAI. This might include additional libraries such as OpenCV. Ensure you have a package manager like
vcpkg installed.
- To install
vcpkg, follow the instructions on the vcpkg GitHub repository.
Install OpenCV:
Step 3: Create a New Project in Visual Studio
- Open Visual Studio.
- Create a new project:
- Go to
File -> New -> Project.
- Select
Console App under C++ and click Next.
- Name your project and choose a location to save it. Click
Create.
Step 4: Configure Project Properties
Open the project properties by right-clicking on the project in the Solution Explorer and selecting Properties.
Navigate to VC++ Directories and add the include and library directories for DepthAI and OpenCV.
- Include Directories: Add paths to DepthAI headers and OpenCV include directory (
C:\path\to\vcpkg\installed\x64-windows\include).
- Library Directories: Add paths to DepthAI and OpenCV library directories (
C:\path\to\vcpkg\installed\x64-windows\lib).
Navigate to Linker -> Input and add the required libraries (opencv_worldXXX.lib where XXX is your OpenCV version, and DepthAI library files).
Step 5: Write Code to Use Oak-D Pro PoE
Include necessary headers in your main.cpp file:
#include <depthai/depthai.hpp>
#include <opencv2/opencv.hpp>
Initialize DepthAI and set up a pipeline:
int main() {
dai::Pipeline pipeline;
auto camRgb = pipeline.create<dai::node::ColorCamera>();
auto xoutRgb = pipeline.create<dai::node::XLinkOut>();
xoutRgb->setStreamName("rgb");
camRgb->video.link(xoutRgb->input);
dai::Device device(pipeline);
auto rgbQueue = device.getOutputQueue("rgb", 8, false);
while(true) {
auto inRgb = rgbQueue->get<dai::ImgFrame>();
cv::imshow("rgb", inRgb->getCvFrame());
if(cv::waitKey(1) == 'q') {
break;
}
}
return 0;
}
Step 6: Build and Run the Project
- Build the project by clicking
Build -> Build Solution.
- Run the project by clicking
Debug -> Start Without Debugging or pressing Ctrl + F5.
Step 7: Troubleshooting
- Ensure all paths to includes and libraries are correctly set.
- Verify that the correct versions of libraries are linked.
- Check if DepthAI device is properly connected and recognized by the system.
https://docs.luxonis.com/hardware/platform/deploy/poe-deployment-guide/
This should set up a basic application to capture and display video from the Oak-D Pro PoE using Microsoft Visual Studio and C++. You can expand on this by adding more functionality as needed.
