export_coco

Converts the .csv file to a COCO-formatted .json file.

Functions required to classify subjects within camera trap field data. The package can handle both images and videos. The authors recommend a two-step approach using Microsoft's 'MegaDector' model and then a second model trained on the classes of interest.

Kyra Swanson

animl

A Collection of ML Tools for Conservation Research

Mathias Tobler

export_coco function

<dl><dt>manifest</dt>
<dd>dataframe containing images and associated detections</dd>
<dt>class_list</dt>
<dd>dataframe containing class names and their corresponding IDs</dd>
<dt>out_file</dt>
<dd>path to save the formatted file</dd>
<dt>info</dt>
<dd>info section of COCO file, named list</dd>
<dt>licenses</dt>
<dd>licenses section of COCO file, array</dd></dl>

Arguments

Converts the .csv file to a COCO-formatted .json file. — export_coco

<dl>

<dt>manifest</dt>
<dd>dataframe containing images and associated detections</dd>


<dt>class_list</dt>
<dd>dataframe containing class names and their corresponding IDs</dd>


<dt>out_file</dt>
<dd>path to save the formatted file</dd>


<dt>info</dt>
<dd>info section of COCO file, named list</dd>


<dt>licenses</dt>
<dd>licenses section of COCO file, array</dd>

</dl>

export_coco: Converts the .csv file to a COCO-formatted .json file.

Description

Usage

Value

Arguments

Examples