An open source pipeline to translate .mp4 video files to .mov video files in 20 different languages.
Generate quality video and podcast localizations at scale.
Most important:
python --version >= 3.7
pip install -r docs/requirements.txt
Also install rubberband
brew install rubberband
And follow the instructions in docs/ for aws and gcloud integration.
Then make sure to setup the names of the s3 or gcloud bucket you will store your audio in.
Set the AWS_BUCKET_NAME and the GCLOUD_BUCKET_NAME constants in src/constants/constants.py.
Also install image magick, (if you want text overlay)
brew install imagemagick
Setup pre-commit, if you want to contribute
pre-commit install
Test setup: pre-commit run
This should run black and run_tests.py but both should be skipped until code changes
python src/main.py tests/test_config.yaml will test your setup to make sure everything is in the right place.
After test_config.yaml starts working, make your own project folder in media/prod and edit the config.yaml
to get going! Checkout my test video in media/prod/kaiser to familarize yourself with the setup.
python src/main.py will use the default config.yaml provided in the home directory.
Start with src/main.py. Run it. Read it.
Follow the commands it executes with a debugger.
Then check out src/client.py. This is our biggest piece of abstraction, and especially if you are adding an API feature, you'll want a good understanding of what it is doing.
src/config.py and src/video_project.py have important setup information and maintain the state of the project.
. home
/docs - contains documentation on ideas, most documentation is in the relevant .py files
/src - contains source code for the pipeline
/src/api - the neural apis we work with, abstracted in the client.py
/media - contains input and output media
/media/dev - stores temporary files made during translation
/media/prod - stores the finalized input and output files
/media/test - stores test input files
/tests - unit tests for the pipelinePerformance (speed) Performance (accuracy)