Cichlid teeth#

For a more detailed description see:

Multiple tooth case#

In this project we need to exclude the reference scale (exclude when drawing the mask with include: false), and some slightly altered settigngs for threshold (invert:true considers inverted values of the images, to make the dark background light and the bright teeth dark for the algorithm to work).

import phenopype as pp
import os 

## my root directory - modify as needed

## my laptop has a small screen, so I use a smaller phenopype window
pp._config.window_max_dim = 800

Make phenopype project#

Create a phenopype project (remember, Project is used to both create new projects, and load existing ones). Different phenopype projects can be useful, e.g., to process different batches of images from field seasons, perspectives, etc,. It makes sense to create them side by side in a subfolder, which I call “phenopype”. Thus, my research projects often have the following directory structure (just my way of working - this is really totally up to you):

    data                       # processed data (e.g., tables)
    data_raw                   # raw data (images, videos, etc.)
    phenopype                  # phenopype projects
    phenopype_templates        # phenopype .yaml config templates
    scripts                    # python, R, etc.
    [...]                      # manuscripts, figures, literature, etc.
proj = pp.Project(r"phenopype\cichlid-teeth-2", True)
## add tooth-images from the data folder and only include the images containing multiple teeth 
proj.add_files(image_dir = r"data_raw\cichlid-teeth", exclude=["depth", "Depth"], mode="link")
proj.add_config(template_path=r"phenopype_templates\cichlid-teeth_template3.yaml", tag="v1")
for path in proj.dir_paths:
    pp.Pype(path, tag="v1")
proj.collect_results(files=["canvas", "shape"], tag="v1", aggregate_csv=True, overwrite=True)