April 2020
Intermediate to advanced
438 pages
12h 2m
English
Content preview from Python Image Processing Cookbook
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How to do it...
The following steps need to be performed:
- Implement an extract_frames() function to extract the first 200 frames (at most) from a video passed as input to the function:
def extract_frames(vid_file): vidcap = cv2.VideoCapture(vid_file) success,image = vidcap.read() i = 1 success = True while success and i <= 200: cv2.imwrite('images/exposure/vid_{}.jpg'.format(i), image) success,image = vidcap.read() i += 1
- Call the function to save all of the frames (as .jpg) extracted from the video of the waterfall in Godafost (Iceland) to the exposure folder:
extract_frames('images/godafost.mp4') #cloud.mp4
- Read all the .jpg files from the exposure folder; read them one by one (as float); split each image into B, G, and R channels; ...
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