https://github.com/danforthcenter/plantcv-tutorial-watershed

watershed tutorial

https://github.com/danforthcenter/plantcv-tutorial-watershed

Science Score: 39.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (5.6%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

watershed tutorial

Basic Info
  • Host: GitHub
  • Owner: danforthcenter
  • License: cc-by-4.0
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 13.6 MB
Statistics
  • Stars: 2
  • Watchers: 5
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Created almost 3 years ago · Last pushed 11 months ago
Metadata Files
Readme License

README.md

Watershed Segmentation Tutorial

test-pr Binder Colab

Check out our interactive tutorial! uses the analyze watershed segmentation function to roughly segment individual leaves. In this case, the number of objects reported from the analyze watershed function is a rough estimation of the number of leaves. The Watershed Segmentation Function is a PlantCV function based on code contributed by Suxing Liu, Arkansas State University. For more information see https://github.com/lsx1980/Leaf_count.

Tutorial tags/keywords

Watershed Segmentation, Leaf Count, Plant Leaf, Leaf Segmentation, arabidopsis, single plant

Citations

Gehan MA, Fahlgren N, Abbasi A, Berry JC, Callen ST, Chavez L, Doust AN, Feldman MJ, Gilbert KB, Hodge JG, Hoyer JS, Lin A, Liu S, Lizárraga C, Lorence A, Miller M, Platon E, Tessman M, Sax T. 2017. PlantCV v2: Image analysis software for high-throughput plant phenotyping. PeerJ 5:e4088. DOI: 10.7717/peerj.4088.

Owner

  • Name: Donald Danforth Plant Science Center
  • Login: danforthcenter
  • Kind: organization
  • Location: St. Louis, MO

Our Mission: Improve the Human Condition Through Plant Science

GitHub Events

Total
  • Watch event: 1
  • Delete event: 5
  • Push event: 13
  • Pull request event: 9
  • Fork event: 1
  • Create event: 3
Last Year
  • Watch event: 1
  • Delete event: 5
  • Push event: 13
  • Pull request event: 9
  • Fork event: 1
  • Create event: 3

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 12
  • Total Committers: 4
  • Avg Commits per committer: 3.0
  • Development Distribution Score (DDS): 0.583
Past Year
  • Commits: 12
  • Committers: 4
  • Avg Commits per committer: 3.0
  • Development Distribution Score (DDS): 0.583
Top Committers
Name Email Commits
Malia Gehan m****n@d****g 5
zeeuqsze 1****e 5
Haley Schuhl 4****l 1
Noah Fahlgren n****n@g****m 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: over 2 years ago

All Time
  • Total issues: 0
  • Total pull requests: 5
  • Average time to close issues: N/A
  • Average time to close pull requests: about 17 hours
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 5
  • Average time to close issues: N/A
  • Average time to close pull requests: about 17 hours
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
  • zeeuqsze (6)
Top Labels
Issue Labels
Pull Request Labels
documentation (1)

Dependencies

requirements.txt pypi
  • ipympl *
.github/workflows/ci-tests.yml actions
  • actions/checkout main composite
  • actions/setup-python main composite