Python 如何从opencv视频捕获实时对图像进行像素化

eu estou com将问题视为图像，并在网络摄像头中以真实的速度转换图像。塞格·奥科迪戈

“进口cv2 导入matplotlib

捕获=cv2.VideoCapture0 x=0 尽管如此：

ret, frame = capture.read()

grayFrame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

cv2.imshow('video gray', grayFrame)
cv2.imshow('video original', frame)
print(grayFrame)
w, h = (16, 16)
temp = cv2.resize(input, (w, h), interpolation=cv2.INTER_LINEAR)
cv2.imshow('video original', output)

if cv2.waitKey(1) == 27:
    break'''

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下面是如何在Python/OpenCV中实现这一点

首先，使用INTER_区域调整大小。此外，向下调整大小并备份

输入：

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用英语写

import cv2

# read the input
img = cv2.imread("barn.jpg")
hh, ww = img.shape[:2]

# resize down, then back up
w, h = (16, 16)
result = cv2.resize(img, (w, h), interpolation=cv2.INTER_AREA)
result = cv2.resize(result, (ww, hh), interpolation=cv2.INTER_AREA)

# save result
cv2.imwrite("barn_pixelated.png", result)

# show result
cv2.imshow("result", result)
cv2.waitKey(0)
cv2.destroyAllWindows()