Question

我已经使用cv2使用cv2将图像的文件夹合并到视频中，但是视频播放的速度太慢了，有没有办法提高速度？


import cv2
import os

image_folder = 'd:/deep/data'
video_name = 'video.avi'

images = [img for img in os.listdir(image_folder) if img.endswith(".jpg")]
frame = cv2.imread(os.path.join(image_folder, images[0]))
height, width, layers = frame.shape

video = cv2.VideoWriter(video_name, 0, 1, (width,height))

for image in images:
    video.write(cv2.imread(os.path.join(image_folder, image)))

cv2.destroyAllWindows()
video.release()

要设置fps，我尝试了这段代码，但仍能正常工作

import cv2
import os
import numpy as np

image_folder = 'd:/deep/data'
video_name = 'video.avi'
fps=100
images = [img for img in os.listdir(image_folder) if img.endswith(".jpg")]
frame = cv2.imread(os.path.join(image_folder, images[0]))
height, width, layers = frame.shape

video = cv2.VideoWriter(video_name, 0, 1, (width,height),fps)



for image in images:
    video.write(cv2.imread(os.path.join(image_folder, image)))


cv2.destroyAllWindows()
video.release()

Answer 1

cv2.VideoWriter([filename, fourcc, fps, frameSize[, isColor]]) → <VideoWriter object>

检查文档并设置fps。您当前的帧率为1 fps。

编辑：

应该是这样的：

fourcc = cv2.VideoWriter_fourcc(*'DIVX')  # codec for windows (supported by your device?)
fps = 25.0   # adjust the framerate here
cv2.ViewoWriter(video_name, fourcc, fps , (width,height))

Answer 2

这是正确的代码

import cv2
import os
import numpy as np

image_folder = 'd:/deep/data'
video_name = 'video.avi'

images = [img for img in os.listdir(image_folder) if img.endswith(".jpg")]
frame = cv2.imread(os.path.join(image_folder, images[0]))
height, width, layers = frame.shape
fourcc = cv2.VideoWriter_fourcc(*'XVID')
video = cv2.VideoWriter(video_name, fourcc,15.0, (width,height))



for image in images:
    video.write(cv2.imread(os.path.join(image_folder, image)))


cv2.destroyAllWindows()
video.release()

如何使用cv2使用python3提高图像回放的速度

2 个答案: