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License: MIT License
Full Javascript implementation of libvpx vp8 decoder.
License: MIT License
Does the decoder support frame resizing(scale down)? I need to scale down vp8 frames and I couldn't do it.
$ make
rm -rf build
mkdir build
VERSION=`node -pe "require('./package.json').version"` && \
browserify src/main.js -t [ envify purge --MODE global ] | \
tee build/flare-vpx-โ$VERSION".js
/bin/sh: -c: line 0: unexpected EOF while looking for matching `"'
/bin/sh: -c: line 1: syntax error: unexpected end of file
make: *** [build-release] Error 2
hi , i d like embed your decoder in my player.
but i have some questions
ipothesis:
-i have a webm stream ... using chunks.
-the demuxer is seekeable .... it permits to seek in a specific position and send out the right frames.
the decoder is stateless? when i seek there no state to reset in the decoder? nothing related to keyframe for example?
The ogv.js integration sets the global state for the class on the 'window' variable which fails if ogv.js is loading the module into a background Worker. Should check if running in worker and use the appropriate global instead.
Create benchmarking tests for next release.
If you forget to clone the submodules, the test vectors don't get cloned and the tests "pass" with 0 tests:
$ npm test
> [email protected] test /Users/brion/src/media/jsvpx
> mocha test/test.js --timeout 20000
0 passing (3ms)
Should probably throw an error here recommending to run 'git submodule update --init'. :)
benchmark/index.html tries to load flare-ivf from the node_modules but it's not installed via the package.json
Need to move the decoding to a worker to stop blocking the main thread
Apparently, the link point to an lost domain (the site offer its own domain for purchase).
Should be OGVDecoderVideoVP8 instead of OGVVideoDecoder, or ogv.js won't find the class after loading the .js file.
I want to stream video on websockets Like streaming from nodjs server
Need to separate the loopfiltering logic from predict_mb area in order to prep it to be sent to gpu. So far this seems to be the best way to start parallelizing.
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