change countours method

wangzhibo

2022-03-14 7f3430f95dda8bc60e00b07e22c0de6cd9fba760

 debug/2_check_frame_digits.py

@@ -5,6 +5,7 @@
import getopt
import sys
import numpy as np
from _image_clip_setting import image_clip


def task_init_load_digits():
@@ -62,23 +63,20 @@


def check_frame(frame):
    #image = frame[176:234, 280:426]
    image = frame[170:240,250:370]  #frame[176:234,280:426]
    cv2.rectangle(image, (250, 170), (370, 240), (0, 255, 0), 2)
    cv2.imshow('rect',image)
    waitKey(0)
    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, (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)
    contours, hierarchy = cv2.findContours(counter,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
    contours_count = 0
    return_numbers = []
    for c in contours:
        x, y, w, h = cv2.boundingRect(c)
        if image_h*0.98 > h > image_h * 0.3:
        if hierarchy[0][contours_count][3] ==0 :
        #if image_h*0.98 > h > image_h * 0.6:
            print((x, y, w, h))
            cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)
            one_number = get_most_simmilar_digit(cv2.threshold(cv2.resize(
@@ -87,6 +85,7 @@
                return_numbers.append([x, one_number])
            else:
                return return_numbers, False
        contours_count += 1     
    return_numbers = np.array(sorted(return_numbers))
    return return_numbers[:, -1], True

@@ -111,5 +110,4 @@
    print(digit)
    cv2.putText(image, str(digit), (280, 170), cv2.FONT_HERSHEY_COMPLEX, 1.0, (100, 200, 200), 5)
    cv2.imshow('add_text',image)
    waitKey(0)

    waitKey(0)