Skip to content

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

License

Notifications You must be signed in to change notification settings

oliviergimenez/lynx-id

 
 

Repository files navigation

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

Running code outside the lynx_id module

To run code outside lynx_id folder that uses this module (for example, files in the test folder), you need to install the project locally in editable mode.
On Jean-Zay, first load the module like that :

  • module load pytorch-gpu/py3/2.2.0 Then run a command similar to this one at the root of the project:
  • pip install --editable . --user --no-cache-dir

You can then run code that does from lynx_id. ... import ....

Preprocess

To prepare the data, perform the following instructions in the following order:

  • Running the notebook ./lynx_id/preprocess/preprocess_dataset.ipynb with a V100 GPU

About

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

Resources

License

Code of conduct

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 99.7%
  • Other 0.3%