英文:
loops written in Python take a lot of time
问题
我正在使用Python中的OpenCV制作这个蓝色滤镜，它能够工作，但视频输出有延迟。
import numpy as np
import cv2
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read()
for i in range(frame.shape[0]):
for j in range(frame.shape[1]):
frame[i][j] = [255,frame[i][j][1],frame[i][j][2]]
cv2.imshow('frame',frame)
if cv2.waitKey(1) == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
英文:
I was making this blue colored filter using openCV in python and it works but the video output is lagging.
import numpy as np
import cv2
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read()
for i in range(frame.shape[0]):
for j in range(frame.shape[1]):
frame[i][j] = [255,frame[i][j][1],frame[i][j][2]]
cv2.imshow('frame',frame)
if cv2.waitKey(1) == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
答案1
得分: 1
你可以利用NumPy中的向量化操作来避免显式循环：
import numpy as np
import cv2
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read()
frame[:, :, 0] = 255 # 将蓝色通道设为255（全蓝）
cv2.imshow('frame', frame)
if cv2.waitKey(1) == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
英文:
You can utilize vectorized operations in NumPy to avoid the explicit loops:
import numpy as np
import cv2
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read()
frame[:, :, 0] = 255 # Set blue channel to 255 (full blue)
cv2.imshow('frame', frame)
if cv2.waitKey(1) == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
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