# -*- coding: utf-8 -*-
import datetime
import cv2
from cv2 import waitKey
import uuid


def save_images(frame):
    image = frame[180:230,250:370]  #frame[176:234,280:426]  
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    thresh = cv2.threshold(gray, 0, 255,
                       cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)[1]
    kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (6, 6))
    counter = cv2.morphologyEx(thresh.copy(), cv2.MORPH_OPEN, kernel)
    image_h = image.shape[0]
    contours, hierarchy = cv2.findContours(counter,cv2.RETR_CCOMP,cv2.CHAIN_APPROX_SIMPLE)
    for c in contours:
        x, y, w, h = cv2.boundingRect(c)
        if image_h*0.9 > h > image_h * 0.5:
            #print((x, y, w, h))
            #cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)
            cv2.imwrite("./images52/"+str(uuid.uuid4())+".jpg",cv2.threshold(cv2.resize(gray[y:y+h,x:x+w],(20,30)), 0, 255,
                       cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)[1])
        
cap = cv2.VideoCapture("video2.mp4")  # for testing
while(cap.isOpened()):
    ret, frame = cap.read()
    if ret==True:
        save_images(frame) 
    else:
        break
cap.release()