Python OpenCV车道线识别侦测

Python OpenCV车道线识别侦测

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运行结果如下：

 

代码如下：

import cv2 as cv
import numpy as np


def do_canny(frame):
    gray = cv.cvtColor(frame, cv.COLOR_RGB2GRAY)
    blur = cv.GaussianBlur(gray, (5, 5), 0)
    canny = cv.Canny(blur, 50, 150)
    return canny

def do_segment(frame):
    height = frame.shape[0]
    polygons = np.array([
                            [(0, height), (800, height), (380, 290)]
                        ])
    mask = np.zeros_like(frame)
    cv.fillPoly(mask, polygons, 255)
    segment = cv.bitwise_and(frame, mask)
    return segment

def calculate_lines(frame, lines):
    left = []
    right = []
    for line in lines:
        x1, y1, x2, y2 = line.reshape(4)
        slope = parameters[0]
        y_intercept = parameters[1]
        
        if slope < 0:
            left.append((slope, y_intercept))
        else:
            right.append((slope, y_intercept))
    
    left_avg = np.average(left, axis = 0)
    right_avg = np.average(right, axis = 0)
   
    left_line = calculate_coordinates(frame, left_avg)
    right_line = calculate_coordinates(frame, right_avg)
    return np.array([left_line, right_line])

def calculate_coordinates(frame, parameters):
    slope, intercept = parameters
    y1 = frame.shape[0]
    y2 = int(y1 - 150)
    return np.array([x1, y1, x2, y2])

cap = cv.VideoCapture("input.mp4")
while (cap.isOpened()):
    ret, frame = cap.read()
    canny = do_canny(frame)
    cv.imshow("canny", canny)
    
    segment = do_segment(canny)
    hough = cv.HoughLinesP(segment, 2, np.pi / 180, 100, np.array([]), minLineLength = 100, maxLineGap = 50)
    
    lines = calculate_lines(frame, hough)
    lines_visualize = visualize_lines(frame, lines)
    cv.imshow("hough", lines_visualize)
    output = cv.addWeighted(frame, 0.9, lines_visualize, 1, 1)
    cv.imshow("output", output)
    if cv.waitKey(10) & 0xFF == ord('q'):
        break
cap.release()
cv.destroyAllWindows()

运行结果如下：

Python, C++, PHP语言学习参考实例连接：

C++学习参考实例：

C++实现图形界面五子棋游戏源码：

https://blog.csdn.net/alicema1111/article/details/90035420

C++实现图形界面五子棋游戏源码2：

https://blog.csdn.net/alicema1111/article/details/106479579

C++ OpenCV相片视频人脸识别统计人数：

https://blog.csdn.net/alicema1111/article/details/105833928

VS2017+PCL开发环境配置：

https://blog.csdn.net/alicema1111/article/details/106877145

VS2017+Qt+PCL点云开发环境配置：

https://blog.csdn.net/alicema1111/article/details/105433636

C++ OpenCV汽车检测障碍物与测距：

https://blog.csdn.net/alicema1111/article/details/105833449

Windows VS2017安装配置PCL点云库：

https://blog.csdn.net/alicema1111/article/details/105111110

VS+VTK+Dicom(dcm)+CT影像切片窗体界面显示源码

https://blog.csdn.net/alicema1111/article/details/106994839

 

Python学习参考实例：

Python相片更换背景颜色qt窗体程序：

https://blog.csdn.net/alicema1111/article/details/106919140

OpenCV汽车识别检测数量统计：

https://blog.csdn.net/alicema1111/article/details/106597260

OpenCV视频识别检测人数跟踪统计：

https://blog.csdn.net/alicema1111/article/details/106113042

OpenCV米粒检测数量统计：

https://blog.csdn.net/alicema1111/article/details/106089697

opencv人脸识别与变形哈哈镜：

https://blog.csdn.net/alicema1111/article/details/105833123

OpenCV人脸检测打卡系统：

https://blog.csdn.net/alicema1111/article/details/105315066

Python+OpenCV摄像头人脸识别：

https://blog.csdn.net/alicema1111/article/details/105107286

Python+Opencv识别视频统计人数：

https://blog.csdn.net/alicema1111/article/details/103804032

Python+OpenCV图像人脸识别人数统计：

https://blog.csdn.net/alicema1111/article/details/105378639

python人脸头发身体部位识别人数统计：

https://blog.csdn.net/alicema1111/article/details/116424942

 

PHP网页框架：

PHP Laravel框架安装与配置后台管理前台页面显示：

https://blog.csdn.net/alicema1111/article/details/106686523