HSV Mask Tool

A simple Python GUI tool for visualizing and creating HSV masks on images. Adjust Hue, Saturation, and Value ranges, save masked images, and export mask settings to CSV.

Features

• Load a folder of images (.jpg, .png, .jpeg, .bmp).
• Default folder: sampledata (loaded automatically if exists).
• Adjust HSV ranges with interactive sliders.
• Toggle mask background between black and white.
• Navigate images with Prev/Next buttons.
• Save mask settings in memory and export to CSV.
• Save masked images with _masked suffix.
• Application window icon support.

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Requirements

• Python 3.10+
• PyQt5
• OpenCV (opencv-python-headless)
• NumPy

Install dependencies:

pip install -r requirements.txt

Project Structure

HSVMaskTool/
│
├─ HSVMaskTool.py        # Main application
├─ sampledata/           # Default images (optional)
├─ res/
│  └─ icons/
│     └─ icon.png        # Application icon
├─ README.md
└─ requirements.txt

Usage

1. Option 1: Run executable version

HSVMaskTool

2. Option 2: Run in python

python HSVMaskTool.py

• Load Default Images: If a folder named sampledata exists in the project directory, it will be loaded automatically.

• Load Another Folder: Click the Load Folder button to choose a different folder with images.

• Save Mask Settings:

  • Click Save Mask to save the current HSV settings for the displayed image.
  • Click Export CSV to save all saved mask settings to a CSV file.

• Save Masked Image Click Save Masked Image to save the masked image with the original filename plus _masked.

Notes

• Masked images and CSV files are saved in the current working directory.
• Ensure the sampledata folder exists if you want default images to load.

Developer Guide

Packaging with PyInstaller

pyinstaller HSVMaskTool.spec

• Windows: .exe executable
• Unix: binary executable

1. Make sure res/icons/icon.png and sampledata folder are included in the .spec file as datas.
2. For Windows, convert icon.png to .ico for proper .exe icon display.