Search Results for "extract frames"
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Showing 4 open source projects for "extract frames"
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1
Video-subtitle-extractor
A GUI tool for extracting hard-coded subtitle (hardsub) from videos
Video hard subtitle extraction, generate srt file. There is no need to apply for a third-party API, and text recognition can be implemented locally. A deep learning-based video subtitle extraction framework, including subtitle region detection and subtitle content extraction. A GUI tool for extracting hard-coded subtitles (hardsub) from videos and generating srt files. Use local OCR recognition, no need to set up and call any API, and do not need to access online OCR services such as Baidu... -
2
AudiooPy
Audio manager in Python Object-Oriented Programming
AudiooPy stands for "Audio manager in Python Object-Oriented Programming". It contains some useful operations on sound files and sound fragments. It operates on sound frames, meaning they consist of signed integer samples 8, 16, or 32 bits wide, stored in bytes-like objects. Among others, it allows the followings: - Audio reader/writer for wav -- based on Python standard library - Manipulate raw audio data - Audio mixer - Automated calculation of statistical descriptors for audio data... -
3
Deep Exemplar-based Video Colorization
The source code of CVPR 2019 paper "Deep Exemplar-based Colorization"
.... Video frames are colorized in sequence based on the colorization history, and its coherency is further enforced by the temporal consistency loss. All of these components, learned end-to-end, help produce realistic videos with good temporal stability. Experiments show our result is superior to the state-of-the-art methods both quantitatively and qualitatively. In order to colorize your own video, it requires to extract the video frames, and provide a reference image as an example. -
4
Five video classification methods
Code that accompanies my blog post outlining five video classification
..., and a whole whack load of hyperparameters we don’t have to worry about. Every video will be subsampled down to 40 frames. So a 41-frame video and a 500-frame video will both be reduced to 40 frames, with the 500-frame video essentially being fast-forwarded. We won’t do much preprocessing. A common preprocessing step for video classification is subtracting the mean, but we’ll keep the frames pretty raw from start to finish. -
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