rectInspect 0.0.2

rectInspect is a Python library for automated image defect detection. It allows users to detect, highlight, and manually inspect defects in images based on customizable width and height rules. You can also interactively draw rectangles on images to measure dimensions and areas. The library supports skipping certain rectangle sizes and is designed for fast, easy, and flexible inspection of defects in various types of images.

rectInspect

A Python library for detecting and highlighting defects in images using customizable width and height rules.
This is the source code of version 0.0.1, created as a starter project for building a Python package.

Quickstart

The library provides easy-to-use tools for detecting image defects and manually inspecting them using rectangles.

Initialize Detector

You can initialize the defect detector with threshold, minimum area, width/height arrays, and optional rectangles to remove.

import rectInspect

# Initialize detector
detector = rectInspect.highlight_defects(
    threshold_ratio=0.2,
    min_area=100,
    width_arr=[1],
    height_arr=[8],
    remove_rec=[(64,35)]  # Width, height to skip
)

Process Image

Process an image to detect defects and get the filtered result.

# Process the image
filtered = detector.process_image("2.jpeg")

Detect Defects

Detect defects based on initialized parameters. Returns the number of detected items.

# Detect defects
detected_items = detector.detect_defects(filtered, detector.merged_contours)

# Print results
detector.print_results(detected_items)

Save Highlighted Image

Save the image with defects highlighted in red rectangles.

# Save the highlighted defects
detector.save_highlited_defect_image(filtered, detected_items)

Draw Rectangles Manually

You can also interactively draw rectangles on an image and see their width, height, and area.

# Draw rectangles interactively
detector.draw_rectangle_with_mouse("final.jpg")

Features

• Detect defects using contour analysis.
• Specify multiple width and height ratios using arrays.
• Optionally remove rectangles that match certain width/height dimensions.
• Interactive rectangle drawing with real-time width, height, and area display.
• Save final images with highlighted defects.

Installation

pip install rectInspect

rectInspect