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OpenCV support

This example shows API which exposes both numpy and OpenCV compatible image types for easier usage. It uses ColorCamera node to retrieve both BGR interleaved 'preview' and NV12 encoded 'video' frames. Both are displayed using functions getFrame and getCvFrame.

Demo

This example requires the DepthAI v3 API, see installation instructions.

Source code

Python
C++

Python

Python
GitHub
1#!/usr/bin/env python3
2
3import cv2
4import depthai as dai
5
6# Create pipeline
7pipeline = dai.Pipeline()
8
9# Define source and outputs
10camRgb = pipeline.create(dai.node.ColorCamera)
11xoutVideo = pipeline.create(dai.node.XLinkOut)
12xoutPreview = pipeline.create(dai.node.XLinkOut)
13
14xoutVideo.setStreamName("video")
15xoutPreview.setStreamName("preview")
16
17# Properties
18camRgb.setPreviewSize(300, 300)
19camRgb.setBoardSocket(dai.CameraBoardSocket.CAM_A)
20camRgb.setResolution(dai.ColorCameraProperties.SensorResolution.THE_1080_P)
21camRgb.setInterleaved(True)
22camRgb.setColorOrder(dai.ColorCameraProperties.ColorOrder.BGR)
23
24# Linking
25camRgb.video.link(xoutVideo.input)
26camRgb.preview.link(xoutPreview.input)
27
28# Connect to device and start pipeline
29with dai.Device(pipeline) as device:
30
31    video = device.getOutputQueue('video')
32    preview = device.getOutputQueue('preview')
33
34    while True:
35        videoFrame = video.get()
36        previewFrame = preview.get()
37
38        # Get BGR frame from NV12 encoded video frame to show with opencv
39        cv2.imshow("video", videoFrame.getCvFrame())
40        # Show 'preview' frame as is (already in correct format, no copy is made)
41        cv2.imshow("preview", previewFrame.getFrame())
42
43        if cv2.waitKey(1) == ord('q'):
44            break

Pipeline

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