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Open Sustainable Technology

Wild Me Scout

Provides structure data processing and management for photographs from aerial surveys in support of animal census efforts, combining machine learning and expertise to get to accurate animal counts as quickly as possible.
https://github.com/WildMeOrg/scout

Category: Biosphere
Sub Category: Terrestrial Wildlife

Keywords from Contributors

conservation nonprofit tomcat nonprofit-organizations measur archiving transforms projection compose generic

Last synced: about 3 hours ago
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Repository metadata

README.md

Scout

Scout is a software application designed to support annotators and lab leads processing imagery for the Kavango–Zambezi Transfrontier Conservation Area (KAZA TFCA) aerial survey of animals.

With Scout, you can:

  • Ingest high volumes of .ARW and .JPG images collected from survey cameras
  • Group images as "Tasks" that can be assigned to other users (e.g., image annotators) or machine learning (ML) models for bounding box creation and species labeling
  • Review and ground truth annotated images for accuracy
  • Draw division lines for overlapping image sequences with annotations
  • Export CSV data files for statistical analysis

System Requirements

NOTE: This software is designed to run on an air-gapped private network only. (Significant security modifications are needed before this platform is suitable for installation on a public network or cloud).

  • A fast and stable internet connection.
  • An 8GB-minimum thumbdrive.
  • A dedicated, powerful laptop with a graphics processing unit (GPU) to run solely as the Scout server.
  • Laptops with the Chrome web browser to connect to the Scout server for lab leads and annotators.

Installation

For installation and first-time configuration steps, follow our Server System Setup documentation guide.

NOTE: Following full installation instructions will remove all data and any operating system from the Scout Server laptop and Ubuntu Linux will be installed as the operating system. Skip Ubuntu installation to run on a different OS.

Important Links & Documentation

Use our Help Documentation to learn how to use Scout.

Visit Wild Me Professional Services to view the range of services we can offer.

Support

For assistance with setup and installation, or for interest in development, join our Wild Me Development Discord.
For usage issues and customer support, visit our Community page.

Usage

Scout supports three user roles:

  • System Administrators install and run Scout.
  • Lab leads create and manage user accounts, upload images, coordinate tasks, review and ground truth annotations, draw division lines, and export data.
  • Annotators draw and label bounding boxes representing animals on images.

Lab leads view, filter, manage, and export Tasks using the Task table:

Task Table

Annotators and ML models use bounding boxes, species labels, and annotation labels to indicate animals in images:

Annotation

Techstack and Features

Scout uses Javascript (Sails.js) and integrated machine learning provided by Scoutbot.

License

Scout is licensed under the MIT open source license.

Owner metadata

GitHub Events

Total
Last Year

Committers metadata

Last synced: about 20 hours ago

Total Commits: 254
Total Committers: 12
Avg Commits per committer: 21.167
Development Distribution Score (DDS): 0.587

Commits in past year: 106
Committers in past year: 8
Avg Commits per committer in past year: 13.25
Development Distribution Score (DDS) in past year: 0.689

Name Email Commits
Erin Zhang e****0@g****m 105
Jon Van Oast j****n@w****g 72
tsubramanian t****n@g****m 26
Tanya 6****2 22
holmbergius h****s@g****m 6
LashaO o****a@g****m 5
wildme-malcolm 1****m 4
ejcunningham e****m@g****m 4
dependabot[bot] 4****] 4
vkirkl g****t@g****m 3
Howard L Frederick s****u@g****m 2
Eric Cunningham e****m@g****m 1

Committer domains:

Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 55
Total pull requests: 95
Average time to close issues: 7 months
Average time to close pull requests: 7 days
Total issue authors: 6
Total pull request authors: 9
Average comments per issue: 1.18
Average comments per pull request: 0.21
Merged pull request: 86
Bot issues: 0
Bot pull requests: 5

Past year issues: 26
Past year pull requests: 46
Past year average time to close issues: about 1 month
Past year average time to close pull requests: 13 days
Past year issue authors: 4
Past year pull request authors: 8
Past year average comments per issue: 1.0
Past year average comments per pull request: 0.24
Past year merged pull request: 41
Past year bot issues: 0
Past year bot pull requests: 5

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/WildMeOrg/scout

Top Issue Authors

  • TanyaStere42 (32)
  • simbamangu (12)
  • holmbergius (5)
  • twiga2 (2)
  • bw4sz (2)
  • SISULU255 (2)

Top Pull Request Authors

  • erinz2020 (44)
  • naknomum (14)
  • TanyaStere42 (11)
  • tsubramanian (7)
  • dependabot[bot] (5)
  • ejcunningham (4)
  • holmbergius (4)
  • simbamangu (4)
  • vkirkl (2)

Top Issue Labels

  • bug (23)
  • enhancement (21)
  • good first issue (8)
  • question (5)
  • invalid (1)
  • ideas (1)
  • dependencies (1)

Top Pull Request Labels

  • dependencies (5)
  • javascript (2)
  • project_support (2)
  • github_actions (2)
  • docker (1)
  • invalid (1)
  • enhancement (1)

Dependencies

Dockerfile docker
  • nvidia/cuda 11.6.0-cudnn8-runtime-ubuntu20.04 build
package.json npm
  • eslint 5.16.0 development
  • @sailshq/connect-redis 3.2.1
  • @sailshq/lodash 3.10.3
  • @sailshq/socket.io-redis 5.2.0
  • connect-mongodb-session 3.1.1
  • csv-string ^4.1.0
  • gm ^1.25.0
  • grunt 1.0.4
  • image-size ^1.0.2
  • moment ^2.29.4
  • readline-sync 1.4.10
  • sails 1.5.3
  • sails-hook-grunt 5.0.0
  • sails-hook-orm 4.0.0
  • sails-hook-sockets 2.0.0
  • sails-mongo 2.0.0
  • winston ^3.8.2

Score: 5.981414211254481