We can save the image as a jpeg image using the imwrite method of OpenCV.
image: the actual image data if success = true if success = false, image is NULL. success: true/ false true denotes that an image has been loaded. To get the next frame or image in the video, we need to use: success, image = vidcap.read() We will load the video file using OpenCV: vidcap = cv2.VideoCapture('vid.mp4') In this case, we have only one dependency that is OpenCV. In this step, we will load libraries which we will use. Following it, create a folder where you want to save the images: mkdir image_data This will save a sample video named video.mp4. To install OpenCV, use the following command: pip install opencv-pythonĭownload a sample video file from which you want to extract images like: wget -c -O video.mp4 We will use Python as our Programming language and will use the OpenCV library for extracting images from a video. In this article, we will take a look at how we can extract images from a video and save them in a folder sequentially. 
Extracting images (also called frames) from videos is important for various use cases such as image processing, analyzing a part of video in detail, video editing and much more.
We can look at it as if video is text data, then images are characters. Reading time: 20 minutes | Coding time: 5 minutesĪ video file is a collection of images.
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