计算机视觉openCV2 pyautogui

Question

我正在尝试学习一些关于计算机视觉的知识，而且这里没有太多的智慧，所以我在…之前道歉。

最后，我试图创建一种布尔语句，从RGB格式中提取颜色。(RGB，如果捕获250，0，0或概率(?)下面的代码将对我的桌面上的pyautogui进行屏幕快照，并在循环执行时打印print(frame)上发生的事情。

from imutils.video import VideoStream
from imutils.video import FPS
import numpy as np
import imutils
import time
import cv2
import pyautogui

fps = FPS().start()

while True:
    # grab the frame from the threaded video stream and resize it
    # to have a maximum width of 400 pixels
    frame = np.array(pyautogui.screenshot(region = (0,200, 800,400)))
    frame = cv2.cvtColor((frame), cv2.COLOR_RGB2BGR)
    frame = imutils.resize(frame, width=400)
    print(frame)


    # show the output frame
    cv2.imshow("Frame", frame)
    key = cv2.waitKey(1) & 0xFF

    # if the `q` key was pressed, break from the loop
    if key == ord("q"):
        break

    # update the FPS counter
    fps.update()

# stop the timer and display FPS information
fps.stop()
print("[INFO] elapsed time: {:.2f}".format(fps.elapsed()))
print("[INFO] approx. FPS: {:.2f}".format(fps.fps()))

当循环以矩阵格式执行数字数组时，我可以在控制台中看到。从这里提取RGB颜色代码是可能的，还是仅仅是对象的像素表示？还是对象的颜色和像素表示？

“框架”窗口是我在imshow openCV2中创建的，它几乎出现在通过pyautogui捕获的每个彩色屏幕截图中，我可以在控制台输出的矩阵格式的左下角看到它，用于蓝、红、白的RGB格式。

我在Windows10笔记本电脑上使用空闲3.6进行这个实验，并通过Windows执行.py文件。最终，是否有可能创建一个布尔触发器范围的蓝军或范围的红色和白色？谢谢..。

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Answer 1

非常简单，这篇博文解释了这一切：https://www.pyimagesearch.com/2014/03/03/charizard-explains-describe-quantify-image-using-feature-vectors/

有一件事值得注意的是，颜色是通过BGR的顺序，而不是RGB.将其添加到循环中：

means = cv2.mean(frame)
means = means[:3]
print(means)

最终的产品将以BGR顺序打印即将出现的颜色：

from imutils.video import VideoStream
from imutils.video import FPS
import numpy as np
import imutils
import time
import cv2
import pyautogui

fps = FPS().start()

while True:
    # grab the frame from the threaded video stream and resize it
    # to have a maximum width of 400 pixels
    frame = np.array(pyautogui.screenshot(region = (0,200, 800,400)))
    frame = cv2.cvtColor((frame), cv2.COLOR_RGB2BGR)
    frame = imutils.resize(frame, width=400)

    #grab color in BGR order, blue value comes first, then the green, and finally the red
    means = cv2.mean(frame)
    #disregard 4th value
    means = means[:3]
    print(means)


    # show the output frame
    cv2.imshow("Frame", frame)
    key = cv2.waitKey(1) & 0xFF

    # if the `q` key was pressed, break from the loop
    if key == ord("q"):
        break

    # update the FPS counter
    fps.update()

# stop the timer and display FPS information
fps.stop()
print("[INFO] elapsed time: {:.2f}".format(fps.elapsed()))
print("[INFO] approx. FPS: {:.2f}".format(fps.fps()))