Extract random images from videos in Python
I am working on the automatic logo detection in the sports videos using Deep Learning. For this, i will be using the Faster-RCNN model.
To train the model with the annotations in the images, I required random images from the selected videos. Following is the script (this is in python2; for python3, it should just be a matter of using parentheses with print) that I used for extracting images from videos.
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import skvideo.io
from matplotlib import pyplot as plt
import random
# Return 'num_images' no. of random images
def random_items(iterator, num_images=1):
selected_items = [None] * num_images
for item_index, item in enumerate(iterator):
for selected_item_index in xrange(num_images):
if not random.randint(0, item_index):
selected_items[selected_item_index] = item
return selected_items
# Read the video, extract images and save them to a directory
def extract_images(video_path, num_images, save_to_path):
# Use vreader as it loads the video frame-by-frame
# If it is a large video, using vread() may exhaust the memory
videogen = skvideo.io.vreader(video_path)
random_set = random_items(videogen, num_images)
count = 0
for frame in random_set:
directory = "{0}/image{1}.png".format(save_to_path, count)
plt.imsave(directory, frame)
# if you instead want to just show the images in a notebook
# instead of saving, use imshow()
# plt.imshow(frame, interpolation='nearest')
plt.show()
count += 1
if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--video-path', required=True)
parser.add_argument('--num-images', required=True)
parser.add_argument('--save-to-path', required=True)
args = parser.parse_args()
extract_images(args.video_path, int(args.num_images), args.save_to_path)
Run the above code using the following command (I wanted 250 random images from this video):
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python extract_images_from_videos.py --video-path="/home/alisha/AFL 2017 Season Highlights-0O3rHhzO9VQ.mkv" --num-images=250 --save-to-path="/home/alisha/test_folder"
I hope this helps! :)