/DP-SCR_Identify-and-estimate-density-lynx-population

Re-identify individuals and estimate population density from eurasian lynx population by Deep Learning and Spatial Capture Recapture (Python & R)

Primary LanguagePython

DP-SCR_Identify-and-estimate-density-lynx-population

Re-identify individuals and estimate population density from eurasian lynx population by Deep Learning and Spatial Capture Recapture

Internship dates : february 2023 - august 2023

Author : Marie Joigneau

Supervisor : Olivier Gimenez https://www.cefe.cnrs.fr/fr/recherche/bc/bbp/843-c/253-olivier-gimenez

What you have :

  • A first part presenting all my script and my folder organization necessary to do my deep learning models and predictions with some of my lighest DL models (< 100MB for github). Note that I haven't put the lynx pictures as they belong to organizations. Also I haven't put all my deep learning model here as it is too huge for github. You can ask it by email.
  • A second part for the Office Français de la Biodiversité (OFB) or anyone wanting to do prediction with a deep learning model. It contains user guide (in French and English) and several scripts. Same here, I haven't put my best model here as it is too huge for github. You can ask it by email.

More precise README are in each part.

I haven't put the Spatial Capture Recapture R script as I have taken most of the part from a Olivier Gimenez R script.

If you have any questions don't hesitate to contact me,
Best,
Marie Joigneau