final-year-project
Final year project on drone object detection
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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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
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (4.0%) to scientific vocabulary
Repository
Final year project on drone object detection
Basic Info
- Host: GitHub
- Owner: vicradon
- License: agpl-3.0
- Language: Python
- Default Branch: main
- Size: 13.7 MB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Final Year Project
This is an object detection project.
How to install
Create a virtual environment
bash
python3 -m venv venv
Source the virtual environment
bash
source venv/bin/activate
Install the requirements
```bash pip install -r requirements.txt
```
How to run on webcam
Run the webcam project
bash
python detect.py --weights weights/best.pt --source 0 --conf 0.3
Run from Drone Camera
bash
v4l2-ctl --list-devices
First setup streaming
bash
cvlc -vvv v4l2:///dev/video4 --sout '#standard{access=http,mux=ogg,dst=localhost:8080}'
bash
python detect.py --source http://localhost:8080 --weights weights/best.pt
Owner
- Name: Osinachi Chukwujama
- Login: vicradon
- Kind: user
- Location: Lagos, Nigeria
- Company: Draft.dev
- Website: https://osinachi.me
- Twitter: vicradon
- Repositories: 295
- Profile: https://github.com/vicradon
Software engineer and robotics enthusiast. Interested in machine learning.
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
Total
- Watch event: 1
- Fork event: 1
Last Year
- Watch event: 1
- Fork event: 1
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 0
- Total pull requests: 7
- Average time to close issues: N/A
- Average time to close pull requests: about 1 month
- Total issue authors: 0
- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 3.29
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 7
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
- dependabot[bot] (7)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- pytorch/pytorch 2.0.0-cuda11.7-cudnn8-runtime build
- gcr.io/google-appengine/python latest build
- Pillow >=7.1.2
- PyYAML >=5.3.1
- gitpython >=3.1.30
- matplotlib >=3.3
- numpy >=1.18.5
- opencv-python >=4.1.1
- pandas >=1.1.4
- psutil *
- requests >=2.23.0
- scipy >=1.4.1
- seaborn >=0.11.0
- setuptools >=65.5.1
- thop >=0.1.1
- torchvision >=0.8.1
- tqdm >=4.64.0
- ultralytics >=8.0.111
- Flask ==2.3.2
- gunicorn ==19.10.0
- pip ==21.1
- werkzeug >=2.2.3