PredictObject_YOLO: Predicts an image object using YOLO

In Mthrun/ImageProcessing: Image Processing for Object Detection

Description

Image is internally saved in Outdirectory and then loaded back again with pediction of YOLO.

Usage

PredictObject_YOLO(Filename, InDirectory, Darknet_Model, Threshold = 0.19, OutDirectory = getwd(), PlotIt = FALSE)

Arguments

Filename	name of the input image to be predicted with .jpg or .png
InDirectory	directory of the image to be preddicted
Darknet_Model	trained neuronale network to be used, see darknet docu, if not given, per default YOLO v1 is used
Threshold	threshold for YOLO, se my Rmarkdown script
OutDirectory	directpry in which die prediction.png is temporary saved and then loaded again
PlotIt	should the image be plottet?

Details

shrtcut function for the darknet packge

Value

an object of class 'cimg', see imager package for details

Author(s)

Michael Thrun

References

see rmarkdown script for further links

Examples

##todo

Mthrun/ImageProcessing documentation built on Dec. 17, 2021, 4:22 a.m.