# RGB video

This example shows how to use high resolution video at low latency. Compared to [RGB
Preview](https://docs.luxonis.com/software/depthai/examples/rgb_preview.md), this demo outputs NV12 frames whereas preview frames
are BGR and are not suited for larger resolution (eg. 1920x1080). Preview is more suitable for either NN or visualization
purposes.

### Similar samples:

 * [RGB Preview](https://docs.luxonis.com/software/depthai/examples/rgb_preview.md) (lower resolution)

## Demo

## Setup

Please run the [install script](https://github.com/luxonis/depthai-python/blob/main/examples/install_requirements.py) to download
all required dependencies. Please note that this script must be ran from git context, so you have to download the
[depthai-python](https://github.com/luxonis/depthai-python) repository first and then run the script

```bash
git clone https://github.com/luxonis/depthai-python.git
cd depthai-python/examples
python3 install_requirements.py
```

For additional information, please follow the [installation guide](https://docs.luxonis.com/software/depthai/manual-install.md).

## Source code

#### Python

```python
#!/usr/bin/env python3

import cv2
import depthai as dai

# Create pipeline
pipeline = dai.Pipeline()

# Define source and output
camRgb = pipeline.create(dai.node.ColorCamera)
xoutVideo = pipeline.create(dai.node.XLinkOut)

xoutVideo.setStreamName("video")

# Properties
camRgb.setBoardSocket(dai.CameraBoardSocket.CAM_A)
camRgb.setResolution(dai.ColorCameraProperties.SensorResolution.THE_1080_P)
camRgb.setVideoSize(1920, 1080)

xoutVideo.input.setBlocking(False)
xoutVideo.input.setQueueSize(1)

# Linking
camRgb.video.link(xoutVideo.input)

# Connect to device and start pipeline
with dai.Device(pipeline) as device:

    video = device.getOutputQueue(name="video", maxSize=1, blocking=False)

    while True:
        videoIn = video.get()

        # Get BGR frame from NV12 encoded video frame to show with opencv
        # Visualizing the frame on slower hosts might have overhead
        cv2.imshow("video", videoIn.getCvFrame())

        if cv2.waitKey(1) == ord('q'):
            break
```

#### C++

```cpp
#include <iostream>

// Includes common necessary includes for development using depthai library
#include "depthai/depthai.hpp"

int main() {
    // Create pipeline
    dai::Pipeline pipeline;

    // Define source and output
    auto camRgb = pipeline.create<dai::node::ColorCamera>();
    auto xoutVideo = pipeline.create<dai::node::XLinkOut>();

    xoutVideo->setStreamName("video");

    // Properties
    camRgb->setBoardSocket(dai::CameraBoardSocket::CAM_A);
    camRgb->setResolution(dai::ColorCameraProperties::SensorResolution::THE_1080_P);
    camRgb->setVideoSize(1920, 1080);

    xoutVideo->input.setBlocking(false);
    xoutVideo->input.setQueueSize(1);

    // Linking
    camRgb->video.link(xoutVideo->input);

    // Connect to device and start pipeline
    dai::Device device(pipeline);

    auto video = device.getOutputQueue("video");

    while(true) {
        auto videoIn = video->get<dai::ImgFrame>();

        // Get BGR frame from NV12 encoded video frame to show with opencv
        // Visualizing the frame on slower hosts might have overhead
        cv::imshow("video", videoIn->getCvFrame());

        int key = cv::waitKey(1);
        if(key == 'q' || key == 'Q') {
            return 0;
        }
    }
    return 0;
}
```

## Pipeline

### Need assistance?

Head over to [Discussion Forum](https://discuss.luxonis.com/) for technical support or any other questions you might have.