opencv roi

import cv2

import numpy as np

def grayscale(img): # 흑백이미지로 변환

    return cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)

def roi(img, vertices):

    mask = np.zeros_like(img)

    cv2.fillPoly(mask,vertices,255)

    masked = cv2.bitwise_and(img,mask)

    return masked

img = cv2.imread('test.jpg')

px = img.shape[0]

px1 = img.shape[1]

print(px, px1)

r= 600.0/img.shape[1]

dim = (800,int(img.shape[0]*r))

resized = cv2.resize(img, dim, interpolation = cv2.INTER_AREA)

cv2.imshow('scaling', resized)

cuttingImg = resized[100:400, 100:400]

#cv2.imshow('cuttingImg',cuttingImg)

vertices = np.array([[10,500], [10,300], [300,200], [500,200], [800,300], [800,500],],np.int32)

gray_img = grayscale(resized)

output_img = roi(gray_img, [vertices])

#ROI_image = cv2.bitwise_and(resized, cuttingImg)

#cv2.imshow('ROI', ROI_image)

cv2.imshow('roi', output_img)

cv2.waitKey(0)

cv2.destroyAllWindows()