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template-matching

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A repo designed to convert audio-based "weak" labels to "strong" intraclip labels. Provides a pipeline to compare automated moment-to-moment labels to human labels. Methods range from DSP based foreground-background separation, cross-correlation based template matching, as well as bird presence sound event detection deep learning models!

  • Updated Jun 1, 2024
  • Jupyter Notebook

This system utilizes Optical Character Recognition (OCR) extracts text, while computer vision techniques map document layout. Then, SIFT (Scale-Invariant Feature Transform) cleverly matches documents to pre-defined templates, even with variations. This intelligent matching helps identify potential fraud for further investigation.

  • Updated May 21, 2024
  • Python

DiallelX is a CPU-oriented modern fortran program to approximate Network Cross-Correlation coefficients (NCCs) among multiple continuous records and template waveforms observed at multiple seismic stations. The results, relatively less accurate but sufficient to find new seismic events, are obtained several-fold faster than a conventional scheme.

  • Updated May 20, 2024
  • Fortran

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