Tree-Up

Open-source desktop app for turning solar reflect images and videos into clean, analysis-ready datasets using computer Learning.

Overview

Tree-Up is an open-source desktop application that leverages computer vision to transform camera trap images and videos from your solar reflect into clean, analysis- ready datasets. This tool helps engineer and conservationists streamline their data collection process, reducing the time spent on manual image processing and annotation.

Features:

• Image Processing: Too-Up uses advanced algorithms to enhance and preprocess camera trap images, removing noise and artifacts.
• Object Detection: The app detects objects of interest (e.g., animals) within the images using computer vision techniques like YOLO or SSD.
• Video Analysis: For videos, Too-Up extracts frames at regular intervals and applies object detection for each frame.
• Data Export: Datasets are exported in a standardized format (e.g., CSV), ready for further analysis.

Benefits:

• Saves time: Automates the tedious process of manual image processing and annotation.
• Improves accuracy: Computer vision algorithms reduce human error and bias.
• Enhances research efficiency: Too-Up enables engineer or conservationists to focus on higher-level tasks, such as data interpretation and hypothesis testing.

Getting Started

1. Clone this repository: git clone https://github.com/Nkdarmel/tree-up.git
2. Install dependencies: Run npm install or pip install -r requirements.txt (depending on your package manager).
3. Build the app: Execute npm run build or python setup.py build.
4. Run Tree-Up: Start the application using node index.js or python tree_up.py.

Contribute

Tree-Up is an open-source project, and we welcome contributions from the community! If you're interested in helping us improve this tool, please create a pull request with your proposed changes.