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phenocamsnow

Automatic snow classification for Phenocam images.

https://github.com/jasonjewik/phenocamsnow

Science Score: 44.0%

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    Scientific vocabulary similarity
    Low similarity (11.3%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Automatic snow classification for Phenocam images.

Basic Info
  • Host: GitHub
  • Owner: jasonjewik
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 57.5 MB
Statistics
  • Stars: 2
  • Watchers: 1
  • Forks: 2
  • Open Issues: 2
  • Releases: 0
Created over 4 years ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation Codeowners

README.md

PhenoCamSnow

Documentation Status Code style: black

PhenoCamSnow is a Python package for quickly building deep learning models to classify PhenoCam images.

Installation

PhenoCamSnow supports Python 3.7+ and can be installed via pip:

console pip install phenocam-snow

Optional dependencies for development and documentation purposes can be installed by specifying the extras [dev] and [docs], repsectively.

Example Usage

The following code snippets show how to train and evaluate a model on classifying images from the canadaojp site into "snow", "no snow", and "too dark".

console python -m phenocam_snow.train \ canadaojp \ --model resnet18 \ --learning_rate 5e-4 \ --weight_decay 0.01 \ --new \ --n_train 120 \ --n_test 30 \ --classes snow no_snow too_dark This will print out the file path of the best model, which can be substituted into the next command.

console python -m phenocam_snow.predict \ canadaojp \ [path/to/best_model.ckpt] \ resnet18 \ --categories snow no_snow too_dark --url https://phenocam.nau.edu/data/latest/canadaojp.jpg

Advanced usage details can be found in the documentation.

Citation

If you use PhenoCamSnow for your work, please see CITATION.cff or use the citation prompt provided by GitHub in the sidebar.

Acknowledgements

Professor Jochen Stutz and Zoe Pierrat.

Owner

  • Name: Jason Jewik
  • Login: jasonjewik
  • Kind: user
  • Location: California, United States of America

Interested in tech that can save our planet. 🤖🌱 Search and AI at Box.

Citation (CITATION.cff) 

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: PhenoCamSnow
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Jason
    family-names: Jewik
    email: jason.jewik@cs.ucla.edu
    affiliation: UCLA
repository-code: 'https://github.com/jasonjewik/PhenoCamSnow'
license: MIT

GitHub Events

Total
  • Delete event: 1
  • Push event: 11
  • Pull request event: 1
  • Fork event: 1
  • Create event: 2
Last Year
  • Delete event: 1
  • Push event: 11
  • Pull request event: 1
  • Fork event: 1
  • Create event: 2

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: 9 minutes
  • Total issue authors: 0
  • Total pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 6
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 0
  • Bot issues: 0
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Top Authors
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  • jasonjewik (7)
  • allenqluo (1)
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Dependencies

.github/workflows/ci.yaml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
  • psf/black stable composite
pyproject.toml pypi
  • numpy *
  • pandas >=1.3.1, <=1.3.5
  • pillow >=8.3.1, <=9.5.0
  • pytorch_lightning >=1.4.0, <=1.9.5
  • rich *
  • tensorboard *
  • torchmetrics >=0.10.0, <=0.11.4
  • torchvision >=0.8.1, <=0.14.1
requirements.txt pypi