Extract Images from video
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With the help of OpenCV we can extract frames from a video and save them as image files.
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cv2.videocapture() can be used to extract frames from a video by calling the read() method.
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We can save or process the extracted frames.
In this tutorial, we’ll learn about extracting images from video using OpenCV.
input:
Code:
import cv2
vidcap = cv2.VideoCapture('video1.mp4')
success, image = vidcap.read()
count = 0
increment = 5
while success:
cv2.imwrite("frame%d.jpg" % count, image)
success, image = vidcap.read()
count += increment
print("Extracted %d frames from the video" % count)
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First we imported required OpenCV.
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Then, we used the cv2.VideoCapture() function to read the video file.
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Then, we used vidcap.read() function to read every frame from the video and stored it into success.
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After this we initialized two variables count and increment.
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The count variable is used to keep track of the number of frames extracted and the increment variable is used to specify the number of frames to be skipped.
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Then, we created a while loop to run till the last frame of the video.
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Inside while loop. We used cv2.imwrite function to save each extracted frame as a jpg file.
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At last, we incremented the value of count. And printed the total number of count.
Result:
Extracted 2330 frames from the video
