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Intelligent System Final Project

Posted January 11th, 2020 by edberthans


Object-Recognition

For our Intelligent System’s project, we worked on creating an object recognition intelligent system. Object recognition is a general term to describe a collection of related computer vision tasks that involve identifying objects in digital photographs.

The tools/library that we used

  • Cvlib  – Object source/scanning
  • Numpy
  • OpenCV
  • Yolov3 – Object Classifying 
  • Yolo Annotation Tool – Object labelling
  • Darknet – Model training

Individual Contribution

For my contribution, I worked on the Labeling using the Yolo Annotation Tool.

Configuration

Configuration Output

/obj.name 

/obj.data

/obj.cfg

This image has an empty alt attribute; its file name is 22hiyJo2sEN4bG9Il32GGv9JHqdXtysaIvGaPKvxGAVnmFmUbX8Y-ewL2bMNdojQl7-bWPwiIsvREtrubhIvCvTnACCbnFLwYpDwx2WRsiRGrc2UPTM3A6xqpLOvksF_IsiOo71JJR0

Obj.data

classes= <number> #the amount of model we’re going to train

train  = obj.txt #path of the pictures file (train)

valid  = obj.txt #path of the pictures file (test)

names = obj.names 

backup = backup/


Obj.names

<names>

<names>

Filed under:Final Project

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