Python miscellaneous

• Demix, Beats, and Onsets (Jupyter notebook) Musical audio source separation; identification of beats, downbeats, and onsets.


• ANN Regression (Jupyter notebook) Artificial neural network (ANN) for solving a regression problem. The ANN is written in plain Python, except for Numpy.


• Visualise Skeletons (Jupyter notebook) Generates a figure or video with skeletons from a pose estimation file produced by AlphaPose.


• Wavelet Coherence Transform (Jupyter notebook) Measures the consistency of phase difference amongst two or more periodic signals, at different time scales.


• Synthetic Oscillatory Data (Jupyter notebook) Generates data to test the measurement of synchronisation.


• Phase-Locking Value (Jupyter notebook) Measures the consistency of phase difference amongst two or more periodic signals.


• Two-Dimensional Density Estimation (Jupyter notebook) Density of several signals' peaks, preserving signal strength.


• Anamorphic Two-Dimensional Gaussian Kernel (Jupyter notebook) Non-square matrix with centered normal distribution values.


• Isochronal Time-Rescaling (Jupyter notebook) Time-rescaling of two or more signals into isochronal sections.


• Recurrence of Chord Roots in Audio File (Jupyter notebook) Finds the roots of chords, groups them according to recurrence, and finds the time location of their boundaries.


• Tracking and Pre-processing of Video Files with AlphaPose (Jupyter notebook) Tracks individuals in one or several video files, extracts one point for each individual, cleans the data, and saves to a file. Also generates plots and logs for data inspection.


• Pre-processing of AlphaPose Output (Jupyter notebook) Extracts one point of each individual tracked by AlphaPose, cleans the data, and saves to a file.


• Pose Detection and Tracking in Youtube Video using AlphaPose (Jupyter notebook) Downloads video from Youtube and detects the bodies of individual people in the image.


• Trim and Crop Video (Jupyter notebook)


• Download Youtube Video (Jupyter notebook) Downloads video from Youtube and writes a file with properties.


• Visualisation of Nasdaq Nordic Stocks priced in Euros (Jupyter notebook) Plots of historical rescaled average prices as time-series, grouped by industry and supersector.


• Correlation Analysis of Nasdaq Nordic Stocks priced in Euros (Jupyter notebook) Pairwise correlation of historical average prices at different time-scales, grouping by industry and supersector, visualisation of notable examples, and selection of uncorrelated stocks.


• Generate Music with Synthesised Bell Sounds (Jupyter notebook) Produces an mp3 file.


• Audio and MIR (Jupyter notebook) Load audio, extract chroma (keys), and perform segmentation with parametric clustering.


• One vs. Others (Jupyter notebook) Shows how the Dynamic Time Warping minimum-warp optimal path could be used to assess anticipation or delay of one moving body relative to other moving bodies.


• DTW, Minimum-Warp Path, and Pointwise Warp (Jupyter notebook) Two methods for the Dynamic Time Warping algorithm: a library function, and a procedural script. Also algorithms to reduce the time-warping of the optimal path and to get its pointwise warp.


• Reduced Rectified Multigranular Segmentation of Mean Absolute Deviation (Jupyter notebook)


• Reduced Rectified Multigranular Segmentation (Jupyter notebook) Aligned segmentation boundaries.


• Segmentation (Jupyter notebook) Yet another implementation of Foote's classic segmentation procedure for time-series or otherwise ordered data.


• Novelty Shows the computation of a novelty score comparing the methods 'offline' (Foote, 2000) and 'online' (Schätti, 2007).


• Logistic Function (Jupyter notebook)


• SQLite (Jupyter notebook) Some basic database procedures.


• Utilities:
  • write_CSV.ipynb
  • batch_rename_files_DEMO.ipynb
  • batch_set_CSV_separator_DEMO.ipynb
  • batch_convert_image_files_DEMO.ipynb
  • batch_token_delete_CSV_cols_DEMO.ipynb
  • batch_remove_CSV_scientific_notation_DEMO.ipynb
  • Find_String_in_Files_DEMO.ipynb