识别宽的情况 人工拆分

wangzhibo

2022-03-24 9fda3f7316f104f9288f3c1ee5671667951e7519

 debug/2_split_digit_from_video.py

@@ -4,30 +4,36 @@
from cv2 import waitKey
import uuid
from _image_clip_setting import image_clip

import sys

def save_images(frame):
    image = frame[image_clip[0]:image_clip[1], image_clip[2]:image_clip[3]]
    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, (5, 5))
    kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (6, 6))
    counter = cv2.morphologyEx(thresh.copy(), cv2.MORPH_OPEN, kernel)
    image_h = image.shape[0]
    image_w = image.shape[1]
    contours, hierarchy = cv2.findContours(
        counter, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
    contours_count = 0
    #print(contours)
    print(hierarchy)
    return_numbers = []
    for c in contours:
        x, y, w, h = cv2.boundingRect(c)
        print((x, y, w, h))
        print(hierarchy[0][contours_count][3])
        if hierarchy[0][contours_count][3] ==0 :
            #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,
        if hierarchy[0][contours_count][3] == 0 and h > image_h * 0.3:
            if w > image_w/4:
                half_width = int(w/2)
                cv2.imwrite("./images52/"+str(uuid.uuid4())+".jpg",cv2.threshold(cv2.resize(gray[y:y+h,x:x+half_width],(20,30)), 0, 255,
                       cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)[1])
                cv2.imwrite("./images52/"+str(uuid.uuid4())+".jpg",cv2.threshold(cv2.resize(gray[y:y+h,x+half_width:x+w],(20,30)), 0, 255,
                       cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)[1])
            else:
                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])
        contours_count += 1
        
cap = cv2.VideoCapture("new.mp4")  # for testing
cap = cv2.VideoCapture(sys.argv[1])  # for testing
while(cap.isOpened()):
    ret, frame = cap.read()
    if ret==True: