yolov8-dmtnet
Source code used in the paper ‘Efficient Tuna Detection and Counting with Improved YOLOv8 and ByteTrack in Pelagic Fisheries’.
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 (13.3%) to scientific vocabulary
Repository
Source code used in the paper ‘Efficient Tuna Detection and Counting with Improved YOLOv8 and ByteTrack in Pelagic Fisheries’.
Basic Info
- Host: GitHub
- Owner: sofaraway-9527
- Language: C++
- Default Branch: main
- Size: 4.93 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
docs/README.md
Ultralytics Docs
Ultralytics Docs are the gateway to understanding and utilizing our cutting-edge machine learning tools. These documents are deployed to https://docs.ultralytics.com for your convenience.
Installation
To install the ultralytics package in developer mode, ensure you have Git and Python 3 installed on your system. Then, follow these steps:
Clone the ultralytics repository to your local machine using Git:
bash git clone https://github.com/ultralytics/ultralytics.gitNavigate to the cloned repository's root directory:
bash cd ultralyticsInstall the package in developer mode using pip (or pip3 for Python 3):
bash pip install -e '.[dev]'
- This command installs the ultralytics package along with all development dependencies, allowing you to modify the package code and have the changes immediately reflected in your Python environment.
Building and Serving Locally
The mkdocs serve command builds and serves a local version of your MkDocs documentation, ideal for development and testing:
bash
mkdocs serve
Command Breakdown:
mkdocsis the main MkDocs command-line interface.serveis the subcommand to build and locally serve your documentation.
Note:
- Grasp changes to the docs in real-time as
mkdocs servesupports live reloading. - To stop the local server, press
CTRL+C.
- Grasp changes to the docs in real-time as
Building and Serving Multi-Language
Supporting multi-language documentation? Follow these steps:
Stage all new language *.md files with Git:
bash git add docs/**/*.md -fBuild all languages to the
/sitefolder, ensuring relevant root-level files are present:```bash
Clear existing /site directory
rm -rf site
Loop through each language config file and build
mkdocs build -f docs/mkdocs.yml for file in docs/mkdocs_*.yml; do echo "Building MkDocs site with $file" mkdocs build -f "$file" done ```
To preview your site, initiate a simple HTTP server:
```bash cd site python -m http.server
Open in your preferred browser
```
- Access the live site at
http://localhost:8000.
Deploying Your Documentation Site
Choose a hosting provider and deployment method for your MkDocs documentation:
- Configure
mkdocs.ymlwith deployment settings. Use
mkdocs deployto build and deploy your site.GitHub Pages Deployment Example:
bash mkdocs gh-deployUpdate the "Custom domain" in your repository's settings for a personalized URL.

- For detailed deployment guidance, consult the MkDocs documentation.
Contribute
We cherish the community's input as it drives Ultralytics open-source initiatives. Dive into the Contributing Guide and share your thoughts via our Survey. A heartfelt thank you to each contributor!

License
Ultralytics Docs presents two licensing options:
- AGPL-3.0 License: Perfect for academia and open collaboration. Details are in the LICENSE file.
- Enterprise License: Tailored for commercial usage, offering a seamless blend of Ultralytics technology in your products. Learn more at Ultralytics Licensing.
Contact
For bug reports and feature requests, navigate to GitHub Issues. Engage with peers and the Ultralytics team on Discord for enriching conversations!
Owner
- Login: sofaraway-9527
- Kind: user
- Repositories: 1
- Profile: https://github.com/sofaraway-9527
Citation (CITATION.cff)
# This CITATION.cff file was generated with https://bit.ly/cffinit
cff-version: 1.2.0
title: Ultralytics YOLO
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Glenn
family-names: Jocher
affiliation: Ultralytics
orcid: 'https://orcid.org/0000-0001-5950-6979'
- given-names: Ayush
family-names: Chaurasia
affiliation: Ultralytics
orcid: 'https://orcid.org/0000-0002-7603-6750'
- family-names: Qiu
given-names: Jing
affiliation: Ultralytics
orcid: 'https://orcid.org/0000-0003-3783-7069'
repository-code: 'https://github.com/ultralytics/ultralytics'
url: 'https://ultralytics.com'
license: AGPL-3.0
version: 8.0.0
date-released: '2023-01-10'
GitHub Events
Total
- Push event: 1
- Create event: 2
Last Year
- Push event: 1
- Create event: 2
Dependencies
- pytorch/pytorch 2.3.1-cuda12.1-cudnn8-runtime build
- matplotlib >=3.3.0
- numpy >=1.23.0,<2.0.0
- 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
- torch >=1.8.0
- torchvision >=0.9.0
- tqdm >=4.64.0
- ultralytics-thop >=2.0.0
- causal_conv1d >=1.2.0
- einops *
- ninja *
- packaging *
- torch *
- transformers *
- triton *
- einops *
- ninja *
- packaging *
- torch *
- albumentations >=1.4.6
- comet *
- coremltools >=7.0
- coverage *
- duckdb <=0.9.2
- dvclive >=2.12.0
- flatbuffers <100,>=23.5.26
- h5py *
- hub-sdk >=0.0.8
- ipython *
- keras *
- lancedb *
- matplotlib >=3.3.0
- mkdocs >=1.6.0
- mkdocs-jupyter *
- mkdocs-material >=9.5.9
- mkdocs-redirects *
- mkdocs-ultralytics-plugin >=0.0.49
- mkdocstrings *
- numpy ==1.23.5
- numpy <2.0.0,>=1.23.0
- onnx >=1.12.0
- opencv-python >=4.6.0
- openvino >=2024.0.0
- pandas >=1.1.4
- pillow >=7.1.2
- psutil *
- py-cpuinfo *
- pycocotools >=2.0.7
- pytest *
- pytest-cov *
- pyyaml >=5.3.1
- requests >=2.23.0
- scipy >=1.4.1
- seaborn >=0.11.0
- streamlit *
- tensorboard >=2.13.0
- tensorflow >=2.0.0
- tensorflowjs >=3.9.0
- torch >=1.8.0
- torchvision >=0.9.0
- tqdm >=4.64.0
- ultralytics-thop >=2.0.0






