https://github.com/simran1002/strip-analyzer

The Strip Color Identification is used to analyze images of urine strips uploaded by users. Using computer vision techniques, particularly leveraging OpenCV, the interface identifies and extracts the colors present on the strip.
https://github.com/simran1002/strip-analyzer

flask multer nodejs numpy opencv python reactjs

Last synced: 14 days ago
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The Strip Color Identification is used to analyze images of urine strips uploaded by users. Using computer vision techniques, particularly leveraging OpenCV, the interface identifies and extracts the colors present on the strip.

• Host: GitHub
• URL: https://github.com/simran1002/strip-analyzer
• Owner: simran1002
• Created: 2024-05-30T19:08:21.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-06-02T11:48:02.000Z (8 months ago)
• Last Synced: 2024-11-20T19:18:47.732Z (3 months ago)
• Topics: flask, multer, nodejs, numpy, opencv, python, reactjs
• Language: JavaScript
• Homepage:
• Size: 417 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Strip Analyzer

Strip Analyzer is a Flask application that analyzes vertical strips in an image and returns average color values for each strip.

## Prerequisites

- Python 3.7+

- pip (Python package installer)

- Postman (for testing the API)

## Installation

1. Clone the repository:

   git clone https://github.com/simran1002/Strip-Analyzer.git

   

   cd stripAnalyzer

## Set up a virtual environment:

python -m venv venv

source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

## Install dependencies:

pip install -r requirements.txt

## Usage

Start the Flask server:

python analyzeImage.py

## Send a POST request to analyze an image:

URL: http://localhost:5001/analyze

Body: JSON with the image file path:

json

{

    "file_path": "/path/to/your/image.jpg"

}

Example

To analyze an image named image.jpg located in the strip_images directory:

curl -X POST -H "Content-Type: application/json" -d '{"file_path": "strip_images/image.jpg"}' http://localhost:5001/analyze