Metadata-Version: 2.1
Name: ImageDimensionCheck
Version: 1.4.1
Summary: Checking dimension of many images during Image processing
Author: Anurupa Karmakar
Author-email: anurupakarmakar.dgp18@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: License.txt

ImageDimensionChecker
ImageDimensionChecker is a Python package designed to streamline the process of analyzing image datasets. It provides functions to check if images in a directory have the same dimensions, count the number of unique file extensions, and identify unique image dimensions.

Features
Check Image Dimensions: Determine if all images in a directory have the same dimensions.
Count Unique File Extensions: Count the occurrences of each unique file extension in a directory.
Identify Unique Image Dimensions: Find the unique dimensions (width and height) of images in a directory.

Installation
You can install ImageDimensionChecker via pip:
pip install ImageDimensionChecker

Usage
Here's a quick guide on how to use ImageDimensionChecker:

Check Image Dimensions
from ImageDimensionChecker import CheckImageDimension

# Specify the path to the directory containing images
path = "/path/to/images"

# Check if images in the directory have the same dimensions
CheckImageDimension(path)

Count Unique File Extensions

from ImageDimensionChecker import unique_extension

# Specify the path to the directory containing images
path = "/path/to/images"

# Count the number of unique file extensions
unique_extension(path)

Identify Unique Image Dimensions

from ImageDimensionChecker import unique_dimension

# Specify the path to the directory containing images
path = "/path/to/images"

# Find the unique dimensions of images
unique_dimension(path)

License
This project is licensed under the BSD License - see the LICENSE file for details.

Contributing
Contributions are welcome! Please feel free to submit issues and pull requests.

Acknowledgements
This package was inspired by the repetitive tasks involved in image dataset analysis during machine learning model development.
