计算图像在屏幕上出现的次数

Question

此代码获取屏幕截图，然后通过将其与给定模板进行比较，在屏幕上查找给定对象，然后计算找到该对象的次数。这可以在下面的马里奥硬币图片中看到，其中程序将识别每个马里奥硬币，然后计算总共有多少。我的问题是我希望程序在运行时继续计算硬币数，这样如果在屏幕上添加或减去硬币，程序会更新计数。

例如：点数 19 个硬币，点数 19 个硬币，点数 19 个硬币，（添加两个硬币），点数 21 个硬币，点数 21 个硬币等

import cv2 as cv2
import numpy
import pyautogui

# Takes a screen shot and saves the file in the specified location
loc1 = (r'Capture.png')
pyautogui.screenshot(loc1)

# Reads the screen shot and loads the image it will be compared too
img_rgb = cv2.imread(loc1)
count = 0
n = 0

while n < 5:
    # Reads the file
    template_file_ore = r"mario.png"
    template_ore = cv2.imread(template_file_ore)
    w, h = template_ore.shape[:-1]

    # Compares screen shot to given image, gives error thresh hold
    res = cv2.matchTemplate(img_rgb, template_ore, cv2.TM_CCOEFF_NORMED)
    threshold = 0.80
    loc = numpy.where(res >= threshold)

    # Puts red box around matched images and counts coins
    for pt in zip(*loc[::-1]):
        cv2.rectangle(img_rgb, pt, (pt[0] + w, pt[1] + h), (0, 0, 255), 2)
        count = count + 1

        print(count)
    n = n + 1

Mario Picture

Answer 1

这个怎么样，你可以在while-loop之外使用一个变量来存储当前计数的硬币，然后重新运行（读取不同的mario_image）再次计数并比较变量之间是否存在差异if有更新。

currently_counted_coins =0 #init
...
#after for loop
difference = count-currently_counted_coins # if difference <0 coins removed else added
#update
currently_counted_coins += difference # to keep a total number of coins

Answer 2

我最终发现只需在 "for" 循环中重新运行整个代码，如下所示。

    import cv2 as cv2
    import numpy
    import pyautogui

    # Takes a screen shot and saves the file in the specified location
    loc1 = (r'Capture.png')
    pyautogui.screenshot(loc1)

    # Reads the screen shot and loads the image it will be compared too
    img_rgb = cv2.imread(loc1)
    count = 0
    n = 0

    while n < 20:
        # Reads the file
        template_file_ore = r"mario.png"
        template_ore = cv2.imread(template_file_ore)
        w, h = template_ore.shape[:-1]

        # Compares screen shot to given image, gives error thresh hold
        res = cv2.matchTemplate(img_rgb, template_ore, cv2.TM_CCOEFF_NORMED)
        threshold = 0.80
        loc = numpy.where(res >= threshold)

        # Puts red box around matched images and counts coins
        for pt in zip(*loc[::-1]):
            loc1 = (r'Capture.png')
            pyautogui.screenshot(loc1)

         # Reads the file
            template_file_ore = r"mario.png"
            template_ore = cv2.imread(template_file_ore)
            w, h = template_ore.shape[:-1]

         # Compares screen shot to given image, gives error thresh hold
            res = cv2.matchTemplate(img_rgb, template_ore, cv2.TM_CCOEFF_NORMED)
            threshold = 0.80
            loc = numpy.where(res >= threshold)

          # Reads the screen shot and loads the image it will be compared too
            img_rgb = cv2.imread(loc1)
            cv2.rectangle(img_rgb, pt, (pt[0] + w, pt[1] + h), (0, 0, 255), 2)
            count = count + 1

            print(count)
        n = n + 1

Answer 3

有很多方法可以做到这一点，例如，创建一个列表，其中包含要检查匹配的图像[屏幕截图]，并将所有代码放入列表项的 for 循环迭代中。

list_images = ['image1.png','image2.png',..]

for img in list_images:
  # here put your code 
  img_to_be_checked = cv2.imread(img)
  # continue with your code in the while loop

要创建图像列表，您可以拍摄一些快照并用名称存储它们，或者使用您的代码多次拍摄快照，但您必须在拍摄新快照之前更改桌面图像才能看到任何差异。您可以使用时间戳定期拍摄快照，以便您有时间更改输入图像。最简单的方法是预先保存屏幕截图，然后像我在上面的代码中看到的那样阅读它们。

计算图像在屏幕上出现的次数

Counting how many times an image appears on screen

python

python-3.x

cv2

matchtemplate