3.13. Edge Detector

此示例对 3 个不同的输入执行边缘检测：左、右和 RGB 相机。使用 HW 加速 sobel 滤波器 3x3。Sobel 滤波器参数可以通过按键 1 和 2 进行更改。

3.13.1. Demo

3.13.2. 设置

Warning

说明：此处安装的是第二代depthai库

请运行以下命令来安装所需的依赖项

python3 -m pip install -U pip
python3 -m pip install opencv-python
python3 -m pip install -U --force-reinstall depthai

有关更多信息，请参阅 Python API 安装指南

3.13.3. 源代码

可以在 GitHub 上找到。国内用户也可以在 gitee 上找到。

流程图

#!/usr/bin/env python3

import cv2
import depthai as dai
import numpy as np

# Create pipeline
pipeline = dai.Pipeline()

# Define sources and outputs
camRgb = pipeline.create(dai.node.ColorCamera)
monoLeft = pipeline.create(dai.node.MonoCamera)
monoRight = pipeline.create(dai.node.MonoCamera)

edgeDetectorLeft = pipeline.create(dai.node.EdgeDetector)
edgeDetectorRight = pipeline.create(dai.node.EdgeDetector)
edgeDetectorRgb = pipeline.create(dai.node.EdgeDetector)

xoutEdgeLeft = pipeline.create(dai.node.XLinkOut)
xoutEdgeRight = pipeline.create(dai.node.XLinkOut)
xoutEdgeRgb = pipeline.create(dai.node.XLinkOut)
xinEdgeCfg = pipeline.create(dai.node.XLinkIn)

edgeLeftStr = "edge left"
edgeRightStr = "edge right"
edgeRgbStr = "edge rgb"
edgeCfgStr = "edge cfg"

xoutEdgeLeft.setStreamName(edgeLeftStr)
xoutEdgeRight.setStreamName(edgeRightStr)
xoutEdgeRgb.setStreamName(edgeRgbStr)
xinEdgeCfg.setStreamName(edgeCfgStr)

# Properties
camRgb.setBoardSocket(dai.CameraBoardSocket.RGB)
camRgb.setResolution(dai.ColorCameraProperties.SensorResolution.THE_1080_P)

monoLeft.setResolution(dai.MonoCameraProperties.SensorResolution.THE_400_P)
monoLeft.setBoardSocket(dai.CameraBoardSocket.LEFT)
monoRight.setResolution(dai.MonoCameraProperties.SensorResolution.THE_400_P)
monoRight.setBoardSocket(dai.CameraBoardSocket.RIGHT)

edgeDetectorRgb.setMaxOutputFrameSize(camRgb.getVideoWidth() * camRgb.getVideoHeight())

# Linking
monoLeft.out.link(edgeDetectorLeft.inputImage)
monoRight.out.link(edgeDetectorRight.inputImage)
camRgb.video.link(edgeDetectorRgb.inputImage)

edgeDetectorLeft.outputImage.link(xoutEdgeLeft.input)
edgeDetectorRight.outputImage.link(xoutEdgeRight.input)
edgeDetectorRgb.outputImage.link(xoutEdgeRgb.input)

xinEdgeCfg.out.link(edgeDetectorLeft.inputConfig)
xinEdgeCfg.out.link(edgeDetectorRight.inputConfig)
xinEdgeCfg.out.link(edgeDetectorRgb.inputConfig)

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

    # Output/input queues
    edgeLeftQueue = device.getOutputQueue(edgeLeftStr, 8, False)
    edgeRightQueue = device.getOutputQueue(edgeRightStr, 8, False)
    edgeRgbQueue = device.getOutputQueue(edgeRgbStr, 8, False)
    edgeCfgQueue = device.getInputQueue(edgeCfgStr)

    print("Switch between sobel filter kernels using keys '1' and '2'")

    while(True):
        edgeLeft = edgeLeftQueue.get()
        edgeRight = edgeRightQueue.get()
        edgeRgb = edgeRgbQueue.get()

        edgeLeftFrame = edgeLeft.getFrame()
        edgeRightFrame = edgeRight.getFrame()
        edgeRgbFrame = edgeRgb.getFrame()

        # Show the frame
        cv2.imshow(edgeLeftStr, edgeLeftFrame)
        cv2.imshow(edgeRightStr, edgeRightFrame)
        cv2.imshow(edgeRgbStr, edgeRgbFrame)

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

        if key == ord('1'):
            print("Switching sobel filter kernel.")
            cfg = dai.EdgeDetectorConfig()
            sobelHorizontalKernel = [[1, 0, -1], [2, 0, -2], [1, 0, -1]]
            sobelVerticalKernel = [[1, 2, 1], [0, 0, 0], [-1, -2, -1]]
            cfg.setSobelFilterKernels(sobelHorizontalKernel, sobelVerticalKernel)
            edgeCfgQueue.send(cfg)

        if key == ord('2'):
            print("Switching sobel filter kernel.")
            cfg = dai.EdgeDetectorConfig()
            sobelHorizontalKernel = [[3, 0, -3], [10, 0, -10], [3, 0, -3]]
            sobelVerticalKernel = [[3, 10, 3], [0, 0, 0], [-3, -10, -3]]
            cfg.setSobelFilterKernels(sobelHorizontalKernel, sobelVerticalKernel)
            edgeCfgQueue.send(cfg)