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Object Detection using YOLOv3 #199

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Object Detection using YOLOv3 #199

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ramana2074
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Pull Request for PyVerse 💡

Issue Title : Object Detection using YOLOv3

  • Info about the related issue (Aim of the project) : The aim of the project is to implement an object detection model using YOLOv3 that can detect and classify objects in images with bounding boxes and labels.
  • Name: Venkata Ramana
  • GitHub ID: ramana2074
  • Email ID: billanavenkataramana@gmail.com
  • Idenitfy yourself: (Mention in which program you are contributing in. Eg. For a WoB 2024 participant it's, WoB Participant) - Gssoc extended Contributot

Closes: #91

Describe the add-ons or changes you've made 📃

I have implemented a Python script that uses OpenCV to load a pre-trained YOLOv3 model. The script takes an input image, detects objects, and draws bounding boxes with labels around them. It uses Non-Maximum Suppression to eliminate redundant overlapping boxes.

Type of change ☑️

What sort of change have you made:

  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)
  • Code style update (formatting, local variables)
  • Breaking change (fix or feature that would cause existing functionality to not work as expected)
  • This change requires a documentation update

How Has This Been Tested? ⚙️

I have tested the script locally by running it on multiple images, ensuring that the YOLO model correctly identifies objects and draws bounding boxes. The script was tested on various image resolutions and scenarios with different objects, and all detected objects were verified.

Checklist: ☑️

  • My code follows the guidelines of this project.
  • I have performed a self-review of my own code.
  • I have commented my code, particularly wherever it was hard to understand.
  • I have made corresponding changes to the documentation.
  • My changes generate no new warnings.
  • I have added things that prove my fix is effective or that my feature works.
  • Any dependent changes have been merged and published in downstream modules.

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github-actions bot commented Oct 6, 2024

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@github-actions github-actions bot requested a review from UTSAVS26 October 6, 2024 16:07
@ramana2074
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@UTSAVS26 please don't consider the first commit. only the second commit is perfect

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Please add readme file of this format.

@UTSAVS26 UTSAVS26 added Contributor Denotes issues or PRs submitted by contributors to acknowledge their participation. Status: Requested Changes⚙️ Indicates that a reviewer has requested changes to a PR before it can be approved. level2 gssoc-ext hacktoberfest labels Oct 7, 2024
@ramana2074 ramana2074 closed this Oct 8, 2024
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📃: Object Detection using YOLO
2 participants