processYOLO5

Returns a list with the standard MD output format. Used for batch processing

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

processYOLO5 function

<dl><dt>n</dt>
<dd>index for the record in the batch</dd>
<dt>boxes</dt>
<dd>array of boxes returned by combined_non_max_suppression</dd>
<dt>classes</dt>
<dd>vector of classes returned by combined_non_max_suppression</dd>
<dt>scores</dt>
<dd>vector of probabilities returned by combined_non_max_suppression</dd>
<dt>selection</dt>
<dd>vector of number of detected boxes returned by combined_non_max_suppression</dd>
<dt>batch</dt>
<dd>batch used to detect objects</dd></dl>

Arguments

Process YOLO5 output and convert to MD format — processYOLO5

<dl>

<dt>n</dt>
<dd>index for the record in the batch</dd>


<dt>boxes</dt>
<dd>array of boxes returned by combined_non_max_suppression</dd>


<dt>classes</dt>
<dd>vector of classes returned by combined_non_max_suppression</dd>


<dt>scores</dt>
<dd>vector of probabilities returned by combined_non_max_suppression</dd>


<dt>selection</dt>
<dd>vector of number of detected boxes returned by combined_non_max_suppression</dd>


<dt>batch</dt>
<dd>batch used to detect objects</dd>

</dl>

processYOLO5: Process YOLO5 output and convert to MD format

Description

Usage

Value

Arguments