export_timelapse

Converts the Manifests to a csv file that contains columns needed for TimeLapse conversion in later step

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_timelapse function

<dl><dt>manifest</dt>
<dd>a DataFrame that has entries of anuimal classification</dd>
<dt>out_dir</dt>
<dd>location of root directory where all images are stored (can contain subdirectories)</dd>
<dt>only_animal</dt>
<dd>A bool that confirms whether we want only animal detctions or all</dd></dl>

Arguments

Converts the Manifests to a csv file that contains columns needed for TimeLapse conversion in later step — export_timelapse

<dl>

<dt>manifest</dt>
<dd>a DataFrame that has entries of anuimal classification</dd>


<dt>out_dir</dt>
<dd>location of root directory where all images are stored (can contain subdirectories)</dd>


<dt>only_animal</dt>
<dd>A bool that confirms whether we want only animal detctions or all</dd>

</dl>

export_timelapse: Converts the Manifests to a csv file that contains columns needed for TimeLapse conversion in later step

Description

Usage

Value

Arguments

Examples