Python使用OpenCV使用多个图像创建视频 _Python图像处理

【Python使用OpenCV使用多个图像创建视频】众所周知, OpenCV是一个广泛使用的图像处理库。它提供了广泛的图像处理意识。让我们看看如何使用OpenCV使用多张图片创建视频。

安装以下库：PIL cv2

另外, 在运行代码之前检查路径, 否则你将充满错误。
这个怎么运作？
使用PIL库，我们正在打开图像并调整它们的平均高度和平均宽度，因为将使用cv2库创建的视频需要相同的高度和宽度的输入图像。
调整大小的图像包含在一个数组中，视频的帧设置为均值高度和均值宽度。然后通过循环，我们将每个图像附加到那个帧。
下面是实现：

# importing libraries import os import cv2 from PIL import Image # Checking the current directory path print (os.getcwd()) # Folder which contains all the images # from which video is to be generated os.chdir( "C:\\Python\\Geekfolder2" ) path = "C:\\Python\\Geekfolder2"mean_height = 0 mean_width = 0num_of_images = len (os.listdir( '.' )) # print(num_of_images)for file in os.listdir( '.' ): im = Image. open (os.path.join(path, file )) width, height = im.size mean_width + = width mean_height + = height # im.show()# uncomment this for displaying the image# Finding the mean height and width of all images. # This is required because the video frame needs # to be set with same width and height. Otherwise # images not equal to that width height will not get # embedded into the video mean_width = int (mean_width /num_of_images) mean_height = int (mean_height /num_of_images)# print(mean_height) # print(mean_width)# Resizing of the images to give # them same width and height for file in os.listdir( '.' ): if file .endswith( ".jpg" ) or file .endswith( ".jpeg" ) or file .endswith( "png" ): # opening image using PIL Image im = Image. open (os.path.join(path, file )) # im.size includes the height and width of image width, height = im.size print (width, height)# resizing imResize = im.resize((mean_width, mean_height), Image.ANTIALIAS) imResize.save( file , 'JPEG' , quality = 95 ) # setting quality # printing each resized image name print (im.filename.split( '\\' )[ - 1 ], " is resized" ) # Video Generating function def generate_video(): image_folder = '.' # make sure to use your folder video_name = 'mygeneratedvideo.avi' os.chdir( "C:\\Python\\Geekfolder2" )images = [img for img in os.listdir(image_folder) if img.endswith( ".jpg" ) or img.endswith( ".jpeg" ) or img.endswith( "png" )]# Array images should only consider # the image files ignoring others if any print (images) frame = cv2.imread(os.path.join(image_folder, images[ 0 ]))# setting the frame width, height width # the width, height of first image height, width, layers = frame.shapevideo = cv2.VideoWriter(video_name, 0 , 1 , (width, height)) # Appending the images to the video one by one for image in images: video.write(cv2.imread(os.path.join(image_folder, image))) # Deallocating memories taken for window creation cv2.destroyAllWindows() video.release()# releasing the video generated# Calling the generate_video function generate_video()

输出如下：

文章图片
获取指向所使用的输入图像和输出视频的链接这里（https://drive.google.com/drive/folders/14Z3iASRYhob9cDohpVU-pcN9LgZ2Imqp?usp=sharing）.
更好的选择：
如果我们想要更多的效果，声音和视频，那么最好使用ffmpeg python库，它提供了这种功能。
首先, 你的面试准备可通过以下方式增强你的数据结构概念：Python DS课程。