Science Score: 44.0%

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  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
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  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (10.2%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: ch-ankit679
  • Language: Python
  • Default Branch: main
  • Size: 1.81 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 10 months ago · Last pushed 10 months ago
Metadata Files
Readme Citation

README.md

Real-Time Object Detection with YOLOv5

Demo Screenshot 1
Figure 1: Detecting a person

Demo Screenshot 2
Figure 2: Detecting mobile phone and person

📌 Overview

This project implements real-time object detection using YOLOv5 in Python. It captures live video from your webcam, detects objects, and draws bounding boxes with labels and confidence scores.

✨ Features

  • Real-time object detection using YOLOv5
  • Supports webcam or video file input
  • Displays detection confidence scores
  • Customizable detection threshold
  • Lightweight and easy to deploy

⚙️ Setup & Installation

  1. Clone the repository
    bash git clone https://github.com/ch-ankit679/Realtime-Object-Detection.git cd Realtime-Object-Detection

  2. Install dependencies
    bash pip install -r requirements.txt

  3. Download YOLOv5 weights
    bash wget https://github.com/ultralytics/yolov5/releases/download/v6.0/yolov5s.pt -P models/

📌 Usage

Run with default webcam

bash python detect.py --source 0 # 0 for default webcam

Run with a video file

bash python detect.py --source video.mp4

Optional Arguments

  • --conf-thres : Confidence threshold (default: 0.5)
  • --view-img : Display detection in a window (default: True)
  • --save-txt : Save detection results to a text file

Example:
bash python detect.py --source 0 --conf-thres 0.7 --view-img

📌 Notes

  • Requires a CUDA-enabled GPU for best performance (works on CPU but slower).
  • Tested on Python 3.8+.

🤝 Contributing

Feel free to open issues or submit pull requests for improvements!

📜 License

MIT


Owner

  • Login: ch-ankit679
  • Kind: user

Citation (CITATION.cff)

cff-version: 1.2.0
preferred-citation:
  type: software
  message: If you use YOLOv5, please cite it as below.
  authors:
  - family-names: Jocher
    given-names: Glenn
    orcid: "https://orcid.org/0000-0001-5950-6979"
  title: "YOLOv5 by Ultralytics"
  version: 7.0
  doi: 10.5281/zenodo.3908559
  date-released: 2020-5-29
  license: AGPL-3.0
  url: "https://github.com/ultralytics/yolov5"

GitHub Events

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  • Pull request event: 3
  • Create event: 3
Last Year
  • Delete event: 1
  • Issue comment event: 6
  • Push event: 3
  • Pull request event: 3
  • Create event: 3

Dependencies

.github/workflows/ci-testing.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
  • slackapi/slack-github-action v1.27.0 composite
.github/workflows/cla.yml actions
  • contributor-assistant/github-action v2.6.1 composite
.github/workflows/codeql-analysis.yml actions
  • actions/checkout v4 composite
  • github/codeql-action/analyze v3 composite
  • github/codeql-action/init v3 composite
.github/workflows/docker.yml actions
  • actions/checkout v4 composite
  • docker/build-push-action v6 composite
  • docker/login-action v3 composite
  • docker/setup-buildx-action v3 composite
  • docker/setup-qemu-action v3 composite
.github/workflows/format.yml actions
  • ultralytics/actions main composite
.github/workflows/links.yml actions
  • actions/checkout v4 composite
  • ultralytics/actions/retry main composite
.github/workflows/merge-main-into-prs.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
.github/workflows/stale.yml actions
  • actions/stale v9 composite
utils/docker/Dockerfile docker
  • pytorch/pytorch 2.0.0-cuda11.7-cudnn8-runtime build
utils/google_app_engine/Dockerfile docker
  • gcr.io/google-appengine/python latest build
pyproject.toml pypi
  • matplotlib >=3.3.0
  • numpy >=1.22.2
  • opencv-python >=4.6.0
  • pandas >=1.1.4
  • pillow >=7.1.2
  • psutil *
  • py-cpuinfo *
  • pyyaml >=5.3.1
  • requests >=2.23.0
  • scipy >=1.4.1
  • seaborn >=0.11.0
  • thop >=0.1.1
  • torch >=1.8.0
  • torchvision >=0.9.0
  • tqdm >=4.64.0
  • ultralytics >=8.1.47
utils/google_app_engine/additional_requirements.txt pypi
  • Flask ==2.3.2
  • gunicorn ==22.0.0
  • pip ==23.3
  • werkzeug >=3.0.1
  • zipp >=3.19.1