def BinaryProcess(self,value=80):
#x=cv2.resize(self.img,(450,600))
self.threshold = value
bp = ip.Binarization(self.img,self.threshold)
return bp
def __init__(self,ic:ImgClass):
self.original=ic.img.copy()
img = ic.img.copy()
self.resize=cv2.resize(img,(800,600))
bp = ip.Binarization(self.resize,80)
p,contours, heirs = cv2.findContours(bp,cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
pic = np.zeros(self.resize.shape).astype(np.uint8)
cv2.drawContours(pic,contours,-1,(0,0,255),2)
ip.CvShow(pic)
