Skip to main content

LePatrick

Augment your images with Patrick Star!
LePatrick is a Python package that applies fun and creative Patrick imprints to images using OpenCV.


What It Does

LePatrick enhances images by pasting Patrick Star's figure onto your input image — great for data augmentation, or just plain fun.

Features

  • Add Patrick imprints with a single function
  • Uses OpenCV and NumPy for high-performance image processing
  • Installable via PyPI

Installation

Install from PyPI:

pip install LePatrick

Example Usage

import cv2
from LePatrick import Patrick

# Apply to your dataset
Patrick(
    source_dir = "data/train",
    num_outputs = 1000,
    num_patricks = 5
)

[!NOTE] The patrick.png asset is bundled within the package and loaded internally.

Requirements

  • Python 3.10 or newer
  • OpenCV 4.9.0.80
  • NumPy 1.26.4

These are installed automatically when you install the package.

Metadata

Release files for LePatrick 0.1.0

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

Source distribution (sdist)

Source distribution for LePatrick 0.1.0
File Size Uploaded
lepatrick-0.1.0.tar.gz 154.4 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for LePatrick 0.1.0
File Interpreter ABI Platform
lepatrick-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 308.2 kB

Release files / lepatrick-0.1.0.tar.gz

Download URL lepatrick-0.1.0.tar.gz
Size 154.4 kB
Tags Source
SHA-256 checksum
How to use checksums
52df9cd9de0c6f7cc4ab51b667db05468dd012393311b657572a22b85b3afea2
BLAKE2b-256 checksum
How to use checksums
68a27205f545b80502f6fe147d8912f5ac5ed89d049ebcee1e2fee549d523c09
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.12.10

Release files / lepatrick-0.1.0-py3-none-any.whl

Download URL lepatrick-0.1.0-py3-none-any.whl
Size 153.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
1eb07ad03856c5cc2b02b5210b0f27a5a65c69147d02114be1e2c5b60356840b
BLAKE2b-256 checksum
How to use checksums
50516fc757566e4364bab8ff22453cfd98d1a5225ac17afa038cee90a330baec
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.12.10

Release history Release notifications | RSS feed

This release

0.1.0 This release

2 release files

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