wut-ia Internet Archive download stub
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README.md
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README.md
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@ -87,6 +87,7 @@ The following scripts are in the repo.
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* `wut-dl-sort-txmode-all` --- Populate `data/` dir with waterfalls from `download/` using all encodings.
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* `wut-dl-sort-txmode-all` --- Populate `data/` dir with waterfalls from `download/` using all encodings.
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* `wut-files` --- Tells you about what files you have in `downloads/` and `data/`.
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* `wut-files` --- Tells you about what files you have in `downloads/` and `data/`.
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* `wut-files-data` --- Tells you about what files you have in `data/`.
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* `wut-files-data` --- Tells you about what files you have in `data/`.
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* `wut-ia` --- Download SatNOGS data from the Internet Archive at `archive.org`.
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* `wut-img-ck.py` --- Validate image files are not corrupt with PIL.
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* `wut-img-ck.py` --- Validate image files are not corrupt with PIL.
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* `wut-ml` --- Main machine learning Python script using Tensorflow and Keras.
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* `wut-ml` --- Main machine learning Python script using Tensorflow and Keras.
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* `wut-ml-auto` --- Machine learning Python script using Tensorflow and Keras, auto.
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* `wut-ml-auto` --- Machine learning Python script using Tensorflow and Keras, auto.
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@ -234,6 +235,20 @@ Files in the `preprocess/` directory have been preprocessed to be used
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further in the pipeline. This contains `.wav` files that have been
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further in the pipeline. This contains `.wav` files that have been
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decoded from `.ogg` files.
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decoded from `.ogg` files.
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## Internet Archive Downloads
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The Internet Archive has a mirror of data from the SatNOGS network.
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It is better to download from there to save on Libre Space Foundation
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resources.
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* https://archive.org/details/satnogs
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To download, perhaps do something like the following.
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Get an account at archive.org, then run this to set up your account locally:
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```
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ia configure
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```
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# Caveats
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# Caveats
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This is the first artificial intelligence script I've done,
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This is the first artificial intelligence script I've done,
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@ -1,4 +1,5 @@
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black[jupyter]
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black[jupyter]
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internetarchive
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ipywidgets
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ipywidgets
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jupyterlab
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jupyterlab
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matplotlib
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matplotlib
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