60 lines
1.5 KiB
Python
60 lines
1.5 KiB
Python
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# import the necessary packages
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from ..convenience import is_cv3
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import cv2
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def count_frames(path, override=False):
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# grab a pointer to the video file and initialize the total
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# number of frames read
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video = cv2.VideoCapture(path)
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total = 0
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# if the override flag is passed in, revert to the manual
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# method of counting frames
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if override:
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total = count_frames_manual(video)
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# otherwise, let's try the fast way first
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else:
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# lets try to determine the number of frames in a video
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# via video properties; this method can be very buggy
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# and might throw an error based on your OpenCV version
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# or may fail entirely based on your which video codecs
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# you have installed
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try:
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# check if we are using OpenCV 3
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if is_cv3():
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total = int(video.get(cv2.CAP_PROP_FRAME_COUNT))
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# otherwise, we are using OpenCV 2.4
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else:
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total = int(video.get(cv2.cv.CV_CAP_PROP_FRAME_COUNT))
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# uh-oh, we got an error -- revert to counting manually
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except:
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total = count_frames_manual(video)
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# release the video file pointer
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video.release()
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# return the total number of frames in the video
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return total
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def count_frames_manual(video):
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# initialize the total number of frames read
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total = 0
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# loop over the frames of the video
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while True:
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# grab the current frame
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(grabbed, frame) = video.read()
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# check to see if we have reached the end of the
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# video
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if not grabbed:
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break
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# increment the total number of frames read
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total += 1
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# return the total number of frames in the video file
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return total
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