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• FFMpeg jni in Android ?

  4 février 2014, par Whyhow

  I have built FFMPEG executables and libraries as provided by Bambuser (http://bambuser.com/opensource). So I managed to build the Android executables and libraties. How can I link these libs in my Eclipse project and invoke the FFmpeg functions from Java ? The open source code includes the C header-files.

  I am new to native coding for Android, and I could not find an easy answer for this. In basic : having a bunch of Android compatible libraries and some C header files what do I have to do to reuse those libaries' functionality from java (+Android SDK) ?

  Any help would be appreciated.

  Kind regards,

  WhyHow

• Feeding raw image bytes into ffmpeg rawvideo fails with Invalid buffer size on linux only

  13 février 2021, par cherouvim

  I have a nodejs program which generates raw (rgb24) image(s), which I then pipe into ffmpeg so it saves as png or mp4. My code looks like this :

  


  const fs = require("fs");
// ...
const outputBuffer = Buffer.alloc(outputPngWidth * 3 * outputPngHeight);
// ... write data into outputBuffer
fs.writeSync(process.stdout.fd, outputBuffer);


  


  I then do the following in CLI :

  


  node generate | ffmpeg -f rawvideo -pixel_format rgb24 -video_size 1000x1000 -i - test.png


  


  Alternatively, if I generate lots of images from my program, I do this to generate the video file :

  


  node generate | ffmpeg -f rawvideo -pixel_format rgb24 -video_size 1000x1000 -r 60 -i - -codec:v libx265 test.mp4


  


  On windows this works flawlessly. On linux (either on Ubuntu 20 VM, or Ubuntu 20 installed directly on a physical machine), it consistently fails with :

  


  pipe:: corrupt input packet in stream 0
[rawvideo @ 0x55f5256c8040] Invalid buffer size, packet size 65536 < expected frame_size 3000000
Error while decoding stream #0:0: Invalid argument


  


  If I split this in 2 phases like so, then it works perfectly on linux as well :

  


  node generate > test.raw
cat test.raw | ffmpeg -f rawvideo -pixel_format rgb24 -video_size 1000x1000 -i - test.png


  


  By looking at the error "packet size 65536 < expected frame_size 3000000" it seems that node's fs.writeSync only sends 65536 bytes at a time, but ffmpeg expects 3000000 bytes (that is 1000 width * 1000 height * 3 channels).

  &#xA;

  If I reduce my image size to something small, e.g 50x50 or 100x100, then it works. As soon as x * y * 3 exceeds 65536, it fails (eg. 160x160 fails with "packet size 65536 < expected frame_size 76800" because 160 * 160 * 3 = 76800).

  &#xA;

  What I've tried so far to solve the issue without luck :

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  • Force node to spit out the whole buffer at once :

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  fs.writeSync(process.stdout.fd, outputBuffer, 0, outputBuffer.length);


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  • All suggestions of Add a big buffer to a pipe between two commands with various linux commands to buffer between node and ffmpeg.

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  • Use Ubuntu 18 instead of 20.

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  • Use node 12 instead of 15.

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  • Figure out a way to change the chunk size in https://nodejs.org/api/fs.html

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  Is there a way to overcome this ?

  &#xA;

• Announcing the World’s Worst VP8 Encoder

  5 octobre 2010, par Multimedia Mike — Outlandish Brainstorms, VP8

  I wanted to see if I could write an extremely basic VP8 encoder. It turned out to be one of the hardest endeavors I have ever attempted (and arguably one of the least successful).

  Results
  I started with the Big Buck Bunny title image :

  
  
  

  And this is the best encoding that this experiment could yield :

  
  
  

  Squint hard enough and you can totally make out the logo. Pretty silly effort, I know. It should also be noted that the resultant .webm file holding that single 400×225 image was 191324 bytes. When FFmpeg decoded it to a PNG, it was only 187200 bytes.

  The Story
  Remember my post about a naive SVQ1 encoder ? Long story short, I set out to do the same thing with VP8. (I wanted to the same thing with VP3/Theora for years. But take a good look at what it would entail to create even the most basic bitstream. As involved as VP8 may be, its bitstream is absolutely trivial compared to VP3/Theora.)
  

  With the naive SVQ1 encoder, the goal was to create a minimally compliant SVQ1 encoded bitstream. For this exercise, I similarly hypothesized what it would take to create the most basic, syntactically correct VP8 bitstream with the least amount of effort. These are the overall steps I came up with :

  • Intra-only
  • Create a basic bitstream header that disables any extra features (no modification of default tables)
  • Use a static quantizer
  • Use intra 16×16 coding for each macroblock
  • Use vertical prediction for the 16×16 intra coding

  For coding each macroblock :

  • Subtract vertical predictor from each row
  • Perform forward transform on each 4×4 sub block
  • Perform forward WHT on luma plane DCT coefficients
  • Pack the coefficients into the bitstream via the Boolean encoder

  It all sounds so simple. But, like I said in the SVQ1 post, it’s all very much like carefully bootstrapping a program to run on a particular CPU, and the VP8 decoder serves as the CPU. I’m confident that I have the bitstream encoding correct because, at the very least, the decoder agrees precisely with the encoder about the numbers represented by those 0s and 1s.

  What’s Wrong ?
  Compromises were made for the sake of getting some vaguely recognizable image encoded in a minimally valid manner. One big stumbling block is that I couldn’t seem to encode an end of block (EOB) condition correctly. I then realized that it’s perfectly valid to just encode a lot of zero coefficients rather than signaling EOB. An encoding travesty, I know, and likely one reason that the resulting filesize is so huge.

  More drama occurred when I hit my first block that had all zeros. There were complications in that situation that I couldn’t seem to avoid. So I forced the first AC coefficient to be 1 in that case. Hey, the decoder liked it.

  As for the generally weird look of the decoded image, I’m thinking that could either be : A) an artifact of forcing 16×16 vertical prediction or ; or B) a mistake in the way that I transformed and predicted stuff before sending it to the decoder. The smart money is on a combination of both A and B.

  Then again, as the SVQ1 experiment demonstrated, I shouldn’t expect extraordinary visual quality when setting the bar this low (i.e., just getting some bag of bits that doesn’t make the decoder barf).