cropImageGenerator

Creates an image data generator that crops images based on bounding box coordinates.

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

cropImageGenerator function

<dl><dt>files</dt>
<dd>a vector of file names</dd>
<dt>boxes</dt>
<dd>a data frame or matrix of bounding box coordinates in the format left, top, width, height.</dd>
<dt>resize_height</dt>
<dd>the height the cropped image will be resized to.</dd>
<dt>resize_width</dt>
<dd>the width the cropped image will be resized to.</dd>
<dt>standardize</dt>
<dd>standardize the image to the range 0 to 1, TRUE or FALSE.</dd>
<dt>batch</dt>
<dd>the batch size for the image generator.</dd></dl>

Arguments

Tensorflow data generator that crops images to bounding box. — cropImageGenerator

<dl>

<dt>files</dt>
<dd>a vector of file names</dd>


<dt>boxes</dt>
<dd>a data frame or matrix of bounding box coordinates in the format left, top, width, height.</dd>


<dt>resize_height</dt>
<dd>the height the cropped image will be resized to.</dd>


<dt>resize_width</dt>
<dd>the width the cropped image will be resized to.</dd>


<dt>standardize</dt>
<dd>standardize the image to the range 0 to 1, TRUE or FALSE.</dd>


<dt>batch</dt>
<dd>the batch size for the image generator.</dd>

</dl>

cropImageGenerator: Tensorflow data generator that crops images to bounding box.

Description

Usage

Value

Arguments