Skip to main content

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

path = "/path/to/images"

CheckImageDimension(path)

Count Unique File Extensions

from ImageDimensionChecker import unique_extension

path = "/path/to/images"

unique_extension(path)

Identify Unique Image Dimensions

from ImageDimensionChecker import unique_dimension

path = "/path/to/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.

Metadata

Release files for ImageDimensionCheck 1.4.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for ImageDimensionCheck 1.4.2
File Interpreter ABI Platform
ImageDimensionCheck-1.4.2-py3-none-any.whl Python 3 none any Details

Release files / ImageDimensionCheck-1.4.2-py3-none-any.whl

Download URL ImageDimensionCheck-1.4.2-py3-none-any.whl
Size 3.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
2ae093143b0e083c8aca6088e99e57f2dd4749277cc4a2dc87e8ba2fa37d8f43
BLAKE2b-256 checksum
How to use checksums
f9187f361be15331d98ccc9f7efe981c68cb4582b9076912dbd851247b53699a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.11.4

Release history Release notifications | RSS feed

This release

1.4.2 This release

1 release file

1.4.1

1 release file

1.4.0

1 release file

1.3

1 release file

1.2

1 release file

1.1

1 release file

1.0

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page