https://github.com/cptanalatriste/pooch-detector
A convolutional neural network that detects dog breeds
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
○codemeta.json file
-
○.zenodo.json file
-
○DOI references
-
✓Academic publication links
Links to: arxiv.org -
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (7.8%) to scientific vocabulary
Keywords
Repository
A convolutional neural network that detects dog breeds
Basic Info
- Host: GitHub
- Owner: cptanalatriste
- Language: HTML
- Default Branch: master
- Size: 68.2 MB
Statistics
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 6
- Releases: 0
Topics
Metadata Files
README.md
pooch-detector
A neural network for detecting dog breeds. It uses a transfer learning approach based on the VGG-16 model architecture.
Getting started
To train the network, be sure to do the following first:
- Clone this repository.
- Download the dog dataset. And the human dataset if you want to apply the network to people.
- Place the dataset files in your cloned copy of the repository.
- Make sure you have installed all the Python packages defined in
requirements.txt.
You can also download the state dictionaries of the pre-trained networks, if you prefer.
Instructions
To explore the training process, you can take a look at the dog_app.ipynb jupyter notebook.
The network code is contained in the pooch_detector module.
Owner
- Name: Carlos Gavidia-Calderon
- Login: cptanalatriste
- Kind: user
- Location: London, United Kingdom
- Company: @alan-turing-institute
- Website: https://carlos.gavidia.me/
- Twitter: cptan_alatriste
- Repositories: 74
- Profile: https://github.com/cptanalatriste
Systems engineer by training, software developer by trade. Research Software Engineer at @alan-turing-institute .
GitHub Events
Total
Last Year
Issues and Pull Requests
Last synced: 9 months ago
All Time
- Total issues: 0
- Total pull requests: 8
- Average time to close issues: N/A
- Average time to close pull requests: 5 months
- Total issue authors: 0
- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.38
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 8
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] (8)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- Jinja2 ==2.11.1
- MarkupSafe ==1.1.1
- QtPy ==1.9.0
- Send2Trash ==1.5.0
- appnope ==0.1.0
- attrs ==19.3.0
- backcall ==0.1.0
- bleach ==3.1.0
- certifi ==2020.4.5.1
- chardet ==3.0.4
- cycler ==0.10.0
- decorator ==4.4.2
- defusedxml ==0.6.0
- entrypoints ==0.3
- future ==0.18.2
- idna ==2.9
- importlib-metadata ==1.5.0
- ipython-genutils ==0.2.0
- ipywidgets ==7.5.1
- jedi ==0.16.0
- jsonschema ==3.2.0
- jupyter ==1.0.0
- jupyter-core ==4.6.3
- kiwisolver ==1.0.1
- mistune ==0.8.4
- nbconvert ==5.6.1
- olefile ==0.46
- pandocfilters ==1.4.2
- parso ==0.6.2
- pexpect ==4.8.0
- pickleshare ==0.7.5
- prometheus-client ==0.7.1
- ptyprocess ==0.6.0
- pyparsing ==2.4.6
- pyrsistent ==0.16.0
- python-dateutil ==2.8.1
- pytz ==2019.3
- pyzmq ==18.1.1
- qtconsole ==4.7.2
- requests ==2.23.0
- requests-toolbelt ==0.9.1
- six ==1.14.0
- terminado ==0.8.3
- testpath ==0.4.4
- torch ==1.4.0
- torchvision ==0.5.0
- tqdm ==4.45.0
- traitlets ==4.3.3
- udacity-pa ==0.2.9
- urllib3 ==1.25.8
- wcwidth ==0.1.9
- webencodings ==0.5.1
- widgetsnbextension ==3.5.1