电脑视觉openCV2 pyautogui

Question

我试图学习一些有关计算机视觉的知识，这里的知识并不多，所以我提前道歉...

最终，我试图创建某种布尔值语句，用于从以RGB格式捕获的内容中提取颜色。 IE，（RGB，如果捕获到255,0,0或概率（？），则布尔值点/触发器将变为true）下面的代码将截屏我的桌面上pyautogui所发生的情况，并打印发生的情况print(frame)随循环执行。.

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()))

我可以在控制台中看到循环在以矩阵格式执行数字数组时的情况。是否可以从此处提取RGB颜色代码，或者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中创建的窗口，它几乎显示在通过pyautogui捕获的每个彩色屏幕快照中，我可以在控制台的矩阵格式的左下角看到它，输出为RGB格式用于蓝色红色和白色。

我在Windows 10笔记本电脑上使用IDLE 3.6进行此实验，并通过Windows CMD执行.py文件。最终，可以为一定范围的蓝色或一定范围的红色和白色创建布尔触发器吗？？？谢谢...

Answer 1

非常简单，此博客文章对此进行了解释： https://www.pyimagesearch.com/2014/03/03/charizard-explains-describe-quantify-image-using-feature-vectors/

要注意的一件事是，颜色是按BGR顺序排列的，而不是RGB ...  将此添加到循环中：

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

最终产品将以BGR顺序打印出什么颜色：

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()))