But the code below includes the video download from YouTube. from Seeking with FFmpeg.,This created fewer number of images (22 compared with 116 i-frame selection) while capturing significant scene changes:,Using the select filter again, the following command selects only frames that have more than 50% of changes compared to previous scene and generates pngs.,This is not much different from previous samples. The bigger the seeking time is, the longer you will have to wait. The processing of the different media is ensured by Python’s fast numerical library Numpy. It also (optionally) uses ImageMagick to generate texts and write GIF files. The advantage is that we'll get the frame at the right time, but the drawback is that it will take a lot of time until it finally reaches that time point. MoviePy uses the software ffmpeg to read and to export video and audio files. This will be done very slowly, frame by frame. In this case, the input will be decoded until it reaches the position given by -ss.
Cut out video is the trimmed video or we can say it as some few seconds. However, in our example, since we did put -ss after -i, it produced one image frame precisely at the requested time from the beginning of the movie. MoviePy is a Python module for video editing (Python wrapper for FFMPEG).
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