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 = 0
  
num_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.shape  
  
     video = 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：

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。