openCV想求图片中毛发角度,出现了断电,请问怎么解决呢

img

用VS2019做的项目,想求图片中毛发的方向,然后出现了断点,代码就这么多,怎么解决呢?

【相关推荐】



  • 帮你找了个相似的问题, 你可以看下: https://ask.csdn.net/questions/7649377
  • 这篇博客也不错, 你可以看下OpenCV零基础从配置环境到读取图片,输出各种灰度腐蚀图,最后输出直方图,做矩阵运算等等
  • 您还可以看一下 AI100讲师老师的计算机视觉实战:如何使用OpenCV构建视觉应用课程中的 计算机视觉实战:如何使用OpenCV快速构建视觉应用小节, 巩固相关知识点
  • 除此之外, 这篇博客: 深度学习和目标检测系列教程 20-300:OpenCV与图像处理:霍夫变换技术实现直线检测中的 检测视频中的车道 部分也许能够解决你的问题, 你可以仔细阅读以下内容或跳转源博客中阅读:
    #coding=gbk
    '''
    @Author:Runsen
    '''
    import cv2
    import numpy as np
    
    def make_coordinates(image, line_parameters):
        slope, intercept = line_parameters
        y1 = image.shape[0]
        y2 = int(y1*(3/5))
        x1 = int((y1 - intercept)/slope)
        x2 = int((y2 - intercept)/slope)
        return np.array([x1, y1, x2, y2])
    
    def average_slope_intercept(image, lines):
        left_fit = []
        right_fit = []
        for line in lines:
            x1, y1, x2, y2 = line.reshape(4)
            parameters = np.polyfit((x1, x2), (y1, y2), 1)
            slope = parameters[0]
            intercept = parameters[1]
            if slope < 0:
                left_fit.append((slope, intercept))
            else:
                right_fit.append((slope, intercept))
        left_fit_average = np.average(left_fit, axis=0)
        right_fit_average = np.average(right_fit, axis=0)
        left_line = make_coordinates(image, left_fit_average)
        right_line = make_coordinates(image, right_fit_average)
        return np.array([left_line, right_line])
    
    def canny(image):
        gray = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY)
        blur = cv2.GaussianBlur(gray,(5, 5), 0)
        canny = cv2.Canny(blur, 50, 150)
        return canny
    
    def display_lines(image, lines):
        line_image = np.zeros_like(image)
        if lines is not None:
            for x1, y1, x2, y2 in lines:
                cv2.line(line_image, (x1, y1), (x2, y2), (255, 255, 255), 10)
        return line_image
    
    def region_of_interest(image):
        height = image.shape[0]
        polygons = np.array([
        [(200, height), (1100, height), (550, 250)]
        ])
        mask = np.zeros_like(image)
        cv2.fillPoly(mask, polygons, 255)
        masked_image = cv2.bitwise_and(image, mask)
        return masked_image
    
    
    cap = cv2.VideoCapture('test2.mp4')
    while(cap.isOpened()):
        _, frame = cap.read()
        canny_image = canny(frame)
        cropped_image = region_of_interest(canny_image)
        lines = cv2.HoughLinesP(cropped_image, 2, np.pi/180, 100, np.array([]), minLineLength=40, maxLineGap=5)
        averaged_lines = average_slope_intercept(frame, lines)
        line_image = display_lines(frame, averaged_lines)
        combo_image = cv2.addWeighted(frame, 0.8, line_image, 1, 1)
        cv2.imshow('result',combo_image)
        if cv2.waitKey(1) == ord('q'):
            break
    cap.release()
    cv2.destroyAllWindows()
    
    


如果你已经解决了该问题, 非常希望你能够分享一下解决方案, 写成博客, 将相关链接放在评论区, 以帮助更多的人 ^-^

你断点那句代码的输入图像是彩色三波段图像。此句想要转化成单波段的灰度图像。
请检查你的输入图像是否是三波段的。如果是单波段的图像的话。那么就直接把这句注释掉,重新运行向下跑就可以了。
请题主给个采纳,谢谢,给我个鼓励