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To decompress the video you simply go frame by frame over the video and send it to your model. Once all the bytes have been converted to frames you then upload the video to YouTube. To compress data an arbitrary sequence of bytes, for each byte, you produce an image that your ML model would convert to the corresponding anchor vector for that byte and add the image as a frame in a video. You have a set of vectors that correspond to bytes - for a simple example you have 256 'anchor vectors' that correspond to any possible byte. What if you have an ML model that produces a vector from a given image. In classic academic fashion, I'll leave it as an exercise to the reader to implement these extensions :)

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Looking back now as a grad student, I realize that there are much cleverer approaches to this problem: a better encoding scheme (discrete Fourier/cosine/wavelet transforms) would let me pack bits in the frequency domain instead of the spatial domain, reducing the probability of bit-flip errors, and a good error-correcting code (Hamming, Reed-Solomon, etc.) would let me tolerate a few bit-flips here and there. You really do need something around that size, because I discovered that YouTube's video compression would sometimes flip the average color of a 10x10 square from 0 to 255, or vice versa. These 20x20 colored squares are big enough to reliably survive YouTube's compression algorithm (or at least they were in 2016 - the algorithms have probably changed since). The encoding scheme that YouTubeDrive uses is brain-dead simple: pack three bits into each pixel of a sequence of 64x36 images (I only use RGB values 0 and 255, nothing in between), and then blow up these images by a factor of 20 to make a 1280x720 video.

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YouTubeDrive was created when I was a freshman in college with questionable programming abilities, absolutely no knowledge of coding theory, and way too much free time.

#Download film semi full youtube full version#

ItвЂ™s funny to think only a couple yearsВ ago we settled for grainy, ravioli-sized clips of archive footage, and now you can literally find a full version of, say, game one of the 2001 Finals at the click of a button.Hey everybody! I'm David, the creator of YouTubeDrive, and I never expected to see this old project pop up on HN. They have no contractual connection to the league, but in the era of democratized streaming itвЂ™s not hard for someone to cut together an eight minute package from the comfort of their own home. Ximo Pierto, NBA Daily Recap, GoFactory,В the list goes on and on. Over the past few years YouTube has been inundated withВ channels focusing on the seasonal industry of NBA highlights. Every day he tirelessly documents the league, regardless of the suspect legality.ДЇreeDawkins is not alone. Old games and new games, superstars and role-players, the Los Angeles Lakers and the Orlando Magic,В it doesnвЂ™t matter. On his other channel, VintageDawkins, he has freshly uploaded clips from a 2012 Curry/Leonard clash, and a near triple-double from Kevin Durant in 2014. Over theВ past 24 hours alone heвЂ™s uploaded 12 videos: including full highlights from Karl-Anthony Towns and Zach Lavine's game against the Lakers, a Wiggins/Bryant duel from the same meeting, and all 27 of Devin BookerвЂ™s points against the Raptors. The man behind the FreeDawkins YouTube channel works incredibly hard.