yolov3-tilapia-fish-freshness-evaluation-system

Updated fork of YOLOv3 and Grabcut System for Tilapia Gill Identification

https://github.com/haringpula/yolov3-tilapia-fish-freshness-evaluation-system

Science Score: 44.0%

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CITATION.cff file
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Scientific vocabulary similarity
Low similarity (10.4%) to scientific vocabulary

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Repository

Updated fork of YOLOv3 and Grabcut System for Tilapia Gill Identification

Basic Info

Host: GitHub
Owner: haringpula
License: mit
Language: Python
Default Branch: main
Homepage:
Size: 69.2 MB

Statistics

Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Releases: 0

Created almost 4 years ago · Last pushed 9 months ago

Metadata Files

Readme License Code of conduct Citation

Fish Freshness Evaluator (YOLOv3 Tilapia Fish Freshness Evaluation System)

Features

Graphical interface for ease of access
YOLOv3 for gill identification
GrabCut algorithm for gill segmentation
RGB channels for feature extraction

Prerequisites

Python version used: python 3.8.8
Recommended python package versions:
- opencv-python - version 4.5.3.56
- numpy - version 1.21.4
- Pillow - version 8.4.0

Installation

git clone https://github.com/haringpula/YOLOv3-Tilapia-Fish-Freshness-Evaluation-System
Download the data folder that includes:
- yolov3_tilapia.weights
- yolov3_tilapia.cfg
- obj.names
- A copy of the Dataset used in the study
Extract the data.zip to root folder

Deployment

To deploy this project run tilapia-fish-freshness-evaluation-system.py from the root folder, or through the terminal with

bash python tilapia-fish-freshness-evaluation-system.py

Documentation

The thesis paper can be found here titled Tilapia Fish Freshness Evaluation by Gill Color Using YOLOv3 and GrabCut Algorithm for Image Segmentation and Utilization of RGB Channels for Feature Extraction.

Contributing

Contributions are welcome! Feel free to open a pull request or something.

Please adhere to this project's code of conduct.

Authors

Citation

If you use this software or study as a reference, please cite it as follows.

License

The project is distributed under the MIT License. See License for more details.

Owner

Name: King Red
Login: haringpula
Kind: user
Location: Mandaluyong City, Philippines
Company: Polytechnic University of the Philiippines

Repositories: 3
Profile: https://github.com/haringpula

is it the curse of the standard?

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software or study as a reference, please cite it as follows."
type: software
title: "Fish Freshness Evaluator"
url: "https://github.com/haringpula/YOLOv3-Tilapia-Fish-Freshness-Evaluation-System"
authors:
  - family-names: Cortez
    given-names: John Elway
  - family-names: Obispo
    given-names: Dustin Uriel
  - family-names: Sanchez
    given-names: King Red
  - family-names: Viola
    given-names: Briel Aldous
license: MIT
preferred-citation:
    type: conference-paper
    title: "Tilapia Fish Freshness Evaluation by Gill Color Using YOLOv3 and GrabCut Algorithm for Image Segmentation and Utilization of RGB Channels for Feature Extraction*."
    collection-title: "International ICT Conferences 2022"
    year: 2022
    month: 08
    authors:
    - family-names: Cortez
      given-names: John Elway
    - family-names: Obispo
      given-names: Dustin Uriel
    - family-names: Sanchez
      given-names: King Red
    - family-names: Viola
      given-names: Briel Aldous
    conference:
      name: International ICT Conferences 2022
      date-start: 2022-08-02
      date-end: 2021-08-05

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