https://github.com/phurin-git/object-inspection-opencv-python

This repository features a machine vision project using Python and OpenCV to inspect various geometric shapes, including circles, triangles, rectangles, and pentagons. The project provides a graphical user interface (GUI) with three tabs to facilitate real-time object inspection, camera calibration, and filter parameter adjustment.
https://github.com/phurin-git/object-inspection-opencv-python

image-processing machinevision opencv python pythonopencv

Last synced: 7 days ago
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This repository features a machine vision project using Python and OpenCV to inspect various geometric shapes, including circles, triangles, rectangles, and pentagons. The project provides a graphical user interface (GUI) with three tabs to facilitate real-time object inspection, camera calibration, and filter parameter adjustment.

• Host: GitHub
• URL: https://github.com/phurin-git/object-inspection-opencv-python
• Owner: phurin-git
• License: mit
• Created: 2024-07-21T13:39:44.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-07-21T22:29:52.000Z (4 months ago)
• Last Synced: 2024-07-21T23:33:15.539Z (4 months ago)
• Topics: image-processing, machinevision, opencv, python, pythonopencv
• Language: Jupyter Notebook
• Homepage:
• Size: 4.65 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Machine Vision Project with Python and OpenCV

This repository features a machine vision project using Python and OpenCV to detect various geometric shapes, including circles, triangles, rectangles, and pentagons. The project provides a graphical user interface (GUI) with three tabs to facilitate real-time object inspection, camera calibration, and filter parameter adjustment.

## Features

- **Object Inspection:** Detects/inspect and identifies geometric shapes (circles, triangles, rectangles, pentagons) in real-time using OpenCV filters.

- **GUI Interface:** Includes a user-friendly GUI with three tabs for different functionalities:

    - **Measurement Tab:** Displays real-time object detection results and visualizes the identified shapes.

    - **Calibration Tab:** Provides tools for calibrating the camera using a checkerboard pattern to improve accuracy.

    - **Parameter Tab:** Allows users to set and adjust filter thresholds to optimize detection performance.

## Components

- **Python:** The programming language used for developing the project.

    - **OpenCV (cv2):** Essential for computer vision tasks, including real-time object detection and image processing.

    - **Pillow (PIL):** Used for image handling and integration with the Tkinter GUI.

    - **NumPy:** Provides support for numerical operations on images and arrays.

    - **Imutils:** Offers convenience functions for image processing, such as resizing and displaying images.

    - **Tkinter:** The standard Python library for creating the graphical user interface (GUI) of the application.

    - **Math:** Provides mathematical functions used for geometric calculations related to shape detection.

    - **Glob:** Used for file handling, particularly for searching for calibration images.

    - **Time:** Handles time-related functions, useful for timing operations and delays.

- **USB Camera:** Captures real-time video feed for object detection and calibration.