update Readme, fix License file
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README.md
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README.md
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@ -26,7 +26,7 @@ On a regular laptop CPU, computations run at 5-10X for files and at 10-20% usage
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### Installation
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As prerequisites, you need:
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- Node.js and NPM. This project has been tested with node v9.9.0 and NPM 5.6.0. If you need to manage several node versions on your platform, you might want to use [NVM](https://github.com/creationix/nvm).
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- Node.js and NPM. This project has been tested with node 8.* and 10.* (NPM 5.6.0 and 6.2.0 respectively). If you need to manage several node versions on your platform, you might want to use [NVM](https://github.com/creationix/nvm).
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- Python (tested with v2.7.9).
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- Keras (tested with v2.0.8). Keras installation instructions are available [here](https://keras.io/#installation).
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- Tensorflow (tested with `tensorflow` v1.4.0 and `tensorflow-gpu` v1.3.0). Installation instructions are [here](https://www.tensorflow.org/install/).
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@ -47,11 +47,17 @@ The time-frequency analyser needs a compatible machine-learning model (`*.keras`
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Grab demo files for French station RTL with the following commands: (TODO)
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```bash
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cd model/
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wget https://www.adblockradio.com/models/France_RTL.keras
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wget https://www.adblockradio.com/models/France_RTL.sqlite
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wget https://www.adblockradio.com/models/France_RTL.keras.tar.gz
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tar -zxvf France_RTL.keras.tar.gz
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rm France_RTL.keras.tar.gz
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wget https://www.adblockradio.com/models/France_RTL.sqlite.tar.gz
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tar -zxvf France_RTL.sqlite.tar.gz
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rm France_RTL.sqlite.tar.gz
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cd ..
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```
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Note that you can check for updates of those model files by first downloading checksum files (`*.tar.gz.sha256sum`) and comparing its contents with a local copy.
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#### Live stream analysis
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Run the demo on French RTL live radio stream:
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```bash
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