Build a UI for YOLO neural network in python

We have a neural network developed in YOLO V3 and we need to show the output in an interface. Preferably in PyQt5

Referring to the video in the drive link:

The script will capture an image and then the neural network will produce bounding boxes for gherkin fruits as accept and reject. Then it will isolate accepted fruits individually to be classified according to size.

The UI will need to present the following:

Total number of gherkin fruits

Accepted number of fruits

Class 1 number of fruits

Class 2 number of fruits

Please refer to the sample UI made in PyQt5 (sample [login to view URL]). The button should trigger the image capture. Then the image will be processed in the neural network and finally the above listed parameters should be displayed on the UI

The versions in the scripts are listed below.

PyQt 5.15.0




Opencv 4.2

Python 3.6



The network and related files are in the following drive link:

[login to view URL]

Compétences : Python, Architecture Logicielle, Machine Learning (ML)

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Concernant l'employeur :
( 1 commentaire ) Pannipitiya, Sri Lanka

Nº du projet : #26921635

Décerné à:


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