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metadata
license: mit
title: pic-to-header
sdk: streamlit
emoji: ๐Ÿจ
colorFrom: blue
colorTo: purple
pinned: false
app_file: pic_to_header/app.py

Pic-to-Header

Pic-to-Header Result

GitHub license GitHub stars GitHub issues GitHub release GitHub tag PyPI version

Python Streamlit OpenCV

Pic-to-Header is a Python application that generates header images using a mask image and an input image. Version 0.1.1 has been released.

๐Ÿš€ Project Overview

Pic-to-Header is a Streamlit application that allows you to easily generate and download header images using a mask image and an input image. It's also available on PyPI. It also supports a command-line interface (CLI).

๐ŸŽฅ Demo Video

https://github.com/user-attachments/assets/9306ad92-9a2e-45d7-9004-0eba9c0e1207

๐Ÿค— Demo Site

Spaces

โœจ Key Features

  • Upload mask and input images
  • Generate header images
  • Preview and download generated header images
  • Image processing using a command-line interface (CLI)
  • Added README page and release notes page to the Streamlit app

๐Ÿ”ง Usage

Method 1: Installation from PyPI

Pic-to-Header is available on PyPI. You can install it using the following command:

pip install pic-to-header

Method 2: Installation from Source

  1. Clone the repository:
    git clone https://github.com/Sunwood-ai-labs/pic-to-header.git
    cd pic-to-header
    
  2. Install the required dependencies:
    pip install -r requirements.txt
    

Streamlit Web Application

  1. Launch the Streamlit application:
    streamlit run pic_to_header/app.py
    
  2. Access the URL displayed in your browser.
  3. Upload the input and mask images.
  4. Click the "Generate Header Image" button.
  5. Preview the generated header image and download it if needed.

Command-Line Interface (CLI)

You can also process images using the CLI:

pic-to-header input_image.png mask_image.png output_image.png

Example:

pic-to-header assets/sample.png assets/mask.png output_image.png

Using in a Python Script

The pic-to-header package can also be used directly within a Python script. Here's an example:

from pic_to_header.core import process_header_image

# Specify the paths to the input image, mask image, and output image
input_image_path = "path/to/input_image.png"
mask_image_path = "path/to/mask_image.png"
output_image_path = "path/to/output_image.png"

# Generate the header image
result = process_header_image(input_image_path, mask_image_path, output_image_path)

print(f"Header image generated: {result}")

This script works as follows:

  1. Imports the process_header_image function from the pic_to_header.core module.
  2. Specifies the paths to the input image, mask image, and output image.
  3. Calls the process_header_image function to generate the header image.
  4. Displays the path to the generated image.

Running this script will generate the header image at the specified output path.

๐Ÿ’ป Development

  • pic_to_header/core.py: Contains the main image processing functions.
  • pic_to_header/app.py: Provides the web interface using Streamlit.
  • pic_to_header/cli.py: Provides the command-line interface.

๐Ÿ“ฆ Installation Instructions

See the "Usage" section above.

๐Ÿ†• What's New

  • Implemented a command-line interface (CLI) for image processing from the command line.
  • Added a README page and release notes page to the Streamlit app.
  • Improved documentation, including how to install from PyPI and how to use the CLI.
  • The CLI entry point changed from pic_to_header.app:main to pic_to_header.cli:main.
  • Version number updated from 0.1.0 to 0.1.1.

๐Ÿ“„ License

This project is licensed under the MIT License. See the LICENSE file for details.