img = cv2.imread('test.png')
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
_, thresh = cv2.threshold(img, 225, 255, cv2.THRESH_BINARY_INV)
kernal = np.ones((3, 3), np.uint8)
dilation = cv2.dilate(thresh, kernal, iterations=2)
contours, hierarchy = cv2.findContours(
dilation, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
cnts = sorted(contours, key=cv2.contourArea, reverse=True)
for c in cnts:
x, y, w, h = cv2.boundingRect(c)
box_img = img[y:y+h, x:x+w]
Простой
