qoherent / spectrogram-segmentation

Deep learning techniques for 5G NR and 4G LTE signal detection and identification
MIT License
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Transition away from Conda #7

Open mrl280 opened 4 months ago

mrl280 commented 4 months ago

Description: We were originally using Conda for this example because it is the easiest way to install GDAL, which is required to read the spectrogram masks from the uncovered spectrogram sensing dataset from MathWorks.

These changes adapt this example to use the Spectrum Sensing dataset in the RIA HDF5 file format, so Conda is not longer required:

Tips for the Reviewer: Follow the updated instructions in README.md to download the dataset and launch the notebook. Read through the notebook, and be on the lookout for typos and unclear explanations.

I tested on Windows, so it might be prudent for the reviewer to test on Linux.

Hardware/Driver Requirements: None.