README.md

Create virtual environment version 3.11

On hal52: /usr/bin/python3.11 -m venv venv && source venv/bin/activate pip install --upgrade pip && pip install -r requirements.txt

Video labeler

A Flask application to view videos from plume detection runs, retrieving data from PostgreSQL.

Setup

1. Install dependencies:

   pip install flask psycopg2-binary
   

2. Place jQuery in the static/js directory or update the template to use a CDN.

3. Make sure you have a PostgreSQL database named "smoke_detect" with a table "video_labels". The table should have the following schema:

   CREATE TABLE video_labels (
       id SERIAL PRIMARY KEY,
       run_name TEXT NOT NULL,
       video_url TEXT NOT NULL,
       metadata TEXT,
       created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
   );

4. Run the application:

   python app.py
   

5. Access the application at:

   http://localhost:5000/
   

Structure

• app.py: Main Flask application with PostgreSQL database access
• templates/index.html: Homepage showing available runs
• templates/videos.html: Page displaying videos for a specific run
• templates/error.html: Error page for when runs are not found
• static/js/: JavaScript files (including jQuery)