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autosimilarity_segmentation
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MARMORET Axel
autosimilarity_segmentation
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WASPAA23
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main
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3
TISMIR
WASPAA23
vPhD
4 results
Begin with the selected commit
Created with Raphaël 2.2.0
20
Dec
23
Oct
16
Jul
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18
Dec
Pip install madmom from git for the git folder
main
main
Version update for PyPi
Allowing for numpy v2
Increase of version, to push on pip.
Adding the trimming option as a parameter in the score computation function.
Keeping up with pip version
Moving to the IMT git in the setup
Lots of minor modifs, to keep on track with the current version.
Minor modif: uodated comments, refs, and adding a wrapper function for computing tensors
Major modif: moving the spectrogram code into a dedicated project. Only referencing it now.
Minor modif: code which is useful to display results.
Adding a scikit-learn wrapper for the CBM and moving the sandbox code into a dedicated file
Reloving old notebooks, related to WASPAA and TISMIR publications (can be found in history)
Current plot to common plot
REmoving old files
Forgot to add the script in the modified files. Updating accordingly the setup for pypi
Updating the ref of the article to be the TISMIR algorithm
Following the versioning in pip
Modifying my default paths
Adding the dataloader. Has not been tested in this context, TODO
Trimming boundaries by default
Adding the median_hop function
Removing an old behavior which consisted in artificially adding info to the bars.
Adding conversion functions, between tensors, barwise TF and spectrograms
From covariance to autocorrelation (TISMIR publication)
The init also
Modifying 'features' into 'signal_to_spectrogram'
Fix 2 for madmom install, because the first one doesn't install the models submodule.
Fixing madmom dependency to download from git.
Enhanced README, aligned with the TISMIR version.
TISMIR
TISMIR
Commit for the TISMIR publication
Vode related to the WASPAA publication
WASPAA23
WASPAA23
Adding project tagged to the version of the PhD.
vPhD
vPhD
Initial commit
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