mask2former出来的灰度图转切割轮廓后的二值图

# This is a sample Python script.
import cv2
import numpy as np
# Press Shift+F10 to execute it or replace it with your code.
# Press Double Shift to search everywhere for classes, files, tool windows, actions, and settings.




def masks_to_mask( masks):
    '''
    16位mask转8位二值mask
    '''
    # 注意： Sobel函数求完导数后会有负值，还有会大于255的值。而原图像是uint8，即8位无符号数，所以Sobel建立的图像位数不够，会有截断。
    # 第二个参数可以传cv.CV_32F。在经过处理后，要用convertScaleAbs()函数将其转回原来的uint8形式。否则将无法显示图像，
    # 而只是一副灰色的窗口。
    x = cv2.Sobel(masks, cv2.CV_16S, 1, 0)
    y = cv2.Sobel(masks, cv2.CV_16S, 0, 1)

    absX = cv2.convertScaleAbs(x)  # 转回uint8
    absY = cv2.convertScaleAbs(y)
    # 函数convertScaleAbs依次执行三个操作：缩放，获取绝对值，转换为无符号的8位类型
    edge = cv2.addWeighted(absX, 0.5, absY, 0.5, 0)
    # cv2.imshow("edge",edge)
    edge1=edge
    # num1=cv2.countNonZero(edge)
    ret, edge1 = cv2.threshold(edge, 0, 255, cv2.THRESH_BINARY)
    cv2.bitwise_not(edge1, edge1)
    cv2.imshow("edge1", edge1)
    cv2.imwrite('ConvertToBinary/dest/edge1.png', edge1)
    mask = np.where(masks > 0, 255, 0)
    mask = mask.astype(np.uint8)


    cv2.bitwise_and(edge1, mask, mask)
    cv2.imshow("result",mask)

    return mask


# Press the green button in the gutter to run the script.
if __name__ == '__main__':
    # print_hi('PyCharm')
    src=cv2.imread('ConvertToBinary/src/003.png')

    mask=masks_to_mask(src)
    cv2.imwrite('ConvertToBinary/dest/result.png',mask)
    # cv2.imshow("mask",mask)
    cv2.waitKey(0)
# See PyCharm help at https://www.jetbrains.com/help/pycharm/