wangzhibo
2022-03-14 7f3430f95dda8bc60e00b07e22c0de6cd9fba760
debug/2_check_video_digits.py
@@ -3,15 +3,9 @@
import time
import cv2
from cv2 import waitKey
import uuid
# -*- coding: utf-8 -*-
import datetime
import cv2
from cv2 import waitKey
import getopt
import sys
import numpy as np
import uuid
from _image_clip_setting import image_clip
def task_init_load_digits():
@@ -70,8 +64,7 @@
def get_digit(frame):
    image = frame[177:233,250:370]  #frame[176:234,280:426]
    # cv2.imshow('src',image)
    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]
@@ -79,12 +72,13 @@
    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)
        counter, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
    contours_count = 0
    return_numbers = []
    for c in contours:
        x, y, w, h = cv2.boundingRect(c)
        print((x, y, w, h))
        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 * 0.3:
            #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(
@@ -94,6 +88,7 @@
            else:
                return return_numbers, False
            cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)
        contours_count += 1
    cv2.imshow('frame', image)
    return_numbers = np.array(sorted(return_numbers))
    return return_numbers[:, -1], True
@@ -116,23 +111,23 @@
            # do got another image
            print('fails') 
            fail_count += 1
            cv2.rectangle(frame, (250, 177), (370, 233), (0, 255, 0), 2)
            cv2.rectangle(frame, (image_clip[2], image_clip[0]), (image_clip[3], image_clip[1]), (0, 255, 0), 2)
            cv2.imwrite('./fails/count_fail_'+str(uuid.uuid1())+'.jpg',frame)
    else:
        print('fails')
        fail_count +=1
        cv2.rectangle(frame, (250, 177), (370, 233), (0, 255, 0), 2)
        cv2.rectangle(frame, (image_clip[2], image_clip[0]), (image_clip[3], image_clip[1]), (0, 255, 0), 2)
        cv2.imwrite('./fails/status_fail_'+str(uuid.uuid1())+'.jpg',frame)
    print(round(digit,2))
    cv2.putText(frame, str(round(digit,2)), (280, 170),
    cv2.putText(frame, str(round(digit,2)), (image_clip[2], image_clip[0]-50),
                cv2.FONT_HERSHEY_COMPLEX, 1.0, (100, 200, 200), 5)
    cv2.imshow('add_text', frame)
    if cv2.waitKey(5) & 0xFF == ord('q'):  # 按q退出
        cv2.waitKey(0)
cap = cv2.VideoCapture("video2.mp4")  # for testing
cap = cv2.VideoCapture("video.mp4")  # for testing
total_frame = 0 
while(cap.isOpened()):
    ret, frame = cap.read()