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Face Detection & Image Processing Project

A comprehensive solution that integrates OpenCV functionalities, offering both face detection with Haar cascades and interactive drawing capabilities. The repository also encapsulates a warehouse parcel system management feature.

Main Highlights

  1. Face Detection:

    • Employs OpenCV in conjunction with Haar cascades to pinpoint faces in photos.
  2. Geometric Shape Illustration:

    • Leverages OpenCV to sketch elementary geometric figures:
      • Lines
      • Rectangles
      • Ellipses
      • Circles
  3. Parcel System Management:

    • Python class to oversee warehouse parcel particulars.
    • Capabilities comprise:
      • Recording parcel specifics: number, weight, category.
      • Visualization and archiving of parcel details in CSV format.

Repository Overview

  • data: Hosts sample imagery and associated CSV files.
  • utils: Contains auxiliary scripts: setup and shape-rendering functions.
  • face_detection.py: Core script for the facial detection feature.
  • warehouse.py: Script overseeing the warehouse parcel system.

Configuration & Deployment

Essential Components:

Installations:

  1. Python:

  2. OpenCV:

    • A robust computer vision library.
  3. csv module:

    • Incorporated in Python's core library for CSV I/O operations.

Installation Procedures:

  1. Python Set Up:

    • Download suitable variant from Python's home page.
    • Follow the installation steps. Ensure Python is added to PATH.
  2. Initiate a Virtual Environment (Suggested):

    • Aids in preventing package version discrepancies.
    python -m venv my_env
    • Activate it:
      • Windows:
      .\my_env\Scripts\activate
      • macOS & Linux:
      source my_env/bin/activate
  3. Incorporate OpenCV:

    pip install opencv-python

Project Initialization:

  1. CSV Set Up:

    • Initialize parcels.csv by executing initialize_csv.py.
  2. Image Placement:

    • Deposit images intended for facial detection into images/.
  3. Script Execution:

    • Execute desired scripts (face_detection.py, shape_drawing.py, warehouse.py).

Remember to activate the virtual environment prior to executing scripts or introducing supplementary packages.

Script Execution Guidelines:

  1. Change to project directory.
  2. For facial detection, use python face_detection.py.
  3. For shape rendering, input python shape_drawing.py.
  4. For the warehouse system's parcel management, run python warehouse.py.

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