Metadata-Version: 2.1
Name: gamecam-sdrabing
Version: 0.8.2
Summary: Remote-camera software suite.
Home-page: https://github.com/shanedrabing/gamecam
Author: Shane Drabing
Author-email: shane.drabing@gmail.com
License: UNKNOWN
Description: # gamecam
        Filter out trail-camera images that don't contain an animal (eventually will be able to label exported images as well).
        
        ## Motivation
        While working for the [Francis Ecology Lab](https://francisecologylab.wixsite.com/francislab), a problem was presented to me. In 2018, there were 800,000+ remote camera images collected for a single experiment. The majority turned out to be false triggers - photos of grass and bushes swaying.
        
        Instead of going through them one by one, I developed this program. Once coded, it only took a week to generate a data table with all the images that contained animals, labeled to genus or species, and that had detection numbers corresponding to one of two common schemes. The data table can be converted into observational units of detections instead of individual images.
        
        ## Installation
        Use the package manager [pip](https://pip.pypa.io/en/stable/) to install gamecam.
        
        ```bash
        pip install gamecam-sdrabing
        ```
        
        ## Usage
        ```python
        from gamecam import pyrcolate as pyr
        
        # creates data table from folder
        jpg_data = pyr.construct_jpg_data(pyr.input_directory())
        
        # Cam objects store all relevant metadata
        cam = pyr.Cam(jpg_data)
        
        help(Cam.plot)                     # shows quick-guide for key bindings
        cam.plot()                         # interactive plot for image filtering
        cam.save(pyr.input_filename())     # creates a .sav file that can be loaded
        cam.export(pyr.input_directory())  # exports images and a .csv file to folder
        ```
        
        ## To-Do
        Finish gamecam.classipy, which will allow for rapid labeling of exported images.
        
        ## Contributing
        This is my first project, so I have no idea what I'm doing.
        If you have suggestions or tips, please tell me!
        
        ## License
        [MIT](https://choosealicense.com/licenses/mit/) © Shane Drabing 2019
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
