Created
May 10, 2017 19:30
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Using OpenCV takes a mp4 video and produces a number of images.
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''' | |
Using OpenCV takes a mp4 video and produces a number of images. | |
Requirements | |
---- | |
You require OpenCV 3.2 to be installed. | |
Run | |
---- | |
Open the main.py and edit the path to the video. Then run: | |
$ python main.py | |
Which will produce a folder called data with the images. There will be 2000+ images for example.mp4. | |
''' | |
import cv2 | |
import numpy as np | |
import os | |
# Playing video from file: | |
cap = cv2.VideoCapture('example.mp4') | |
try: | |
if not os.path.exists('data'): | |
os.makedirs('data') | |
except OSError: | |
print ('Error: Creating directory of data') | |
currentFrame = 0 | |
while(True): | |
# Capture frame-by-frame | |
ret, frame = cap.read() | |
# Saves image of the current frame in jpg file | |
name = './data/frame' + str(currentFrame) + '.jpg' | |
print ('Creating...' + name) | |
cv2.imwrite(name, frame) | |
# To stop duplicate images | |
currentFrame += 1 | |
# When everything done, release the capture | |
cap.release() | |
cv2.destroyAllWindows() |
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In case anyone wants to skip frames / and use youtube clips