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🧪 Photo-identification research tool for longitudinal mark-recapture studies

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CRRU-UK/photo-id-app

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Photo ID App

Screenshots of the Photo ID app.

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Introduction

The Photo ID app is a research tool that can be used for photo-identification methodologies for longitudinal mark-recapture studies. It allows for the organisation and matching of photographs containing unique identification markings (such as cetacean dorsal fins). It includes tools for editing and visually filtering photographs to help with identification of marks.

📚 For more information and user guides, check out the docs.

Overview

The app is made up of the following parts:

Installation

  1. Clone the repository
  2. Ensure you are using Node version >= 24 (nvm install 24 / nvm use 24)
  3. Install the dependencies by running npm ci
  4. If using VS Code install the ESLint, Stylelint, and Prettier extensions

Development

Below are the NPM commands that can be used for development:

Command Description
start Starts the app in development mode.
package Builds and packages the app.
make Builds app distributables.
publish Publishes the app.
changesets:add Adds changeset.
changesets:version Bumps the app version.
changesets:tag Tags the app and pushes to remote.
test Runs test:linting, test:types, and test:unit sequentially.
test:linting Runs ESLint and Prettier tests.
test:types Runs TypeScript tests.
test:unit Runs unit tests and generates a coverage report.
test:unit:watch Same as test:unit but runs it in watch mode.
docs Builds and serves documentation locally

Debugging

Using VSCode, a debugger can be attached to the main process in Electron by running "Debug main process" in the Run and Debug view.

Error Tracking

The app uses Sentry to track errors and logs for debugging in published production builds. To enable this locally, add an .env file to the root of the repository using the variables defined in .env.example. This file also needs to be created when publishing to ensure the values are included in the production build.

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🧪 Photo-identification research tool for longitudinal mark-recapture studies

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