Transition away from Conda #7
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…dataset as a RIA HDF5 source file.
…sing `environment.yaml` to creating and using a standard virtual environment with `requirements.txt`
…file format `v1.0`. - Adding h5py
…ctrum_sensing_dataset.hdf5` file.
…are installed with CUDA 12.1 support
Update getting started instructions to register the `venv` kernel. Previously, the instructions referenced the `spectrogram-segmentation` kernel used in the Conda implementation.
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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:
environment.yamlwithrequirements.txtREADME.mdwith updated set up instructions.requirements_dev.txtTips for the Reviewer:
Follow the updated instructions in
README.mdto 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.