seya-image-processor 0.1.1

A package for processing images and converting them into grayscale line images with extra blurness. It can be used for varies Machine learning algorithm traninig as it provide the more torn images

seya_image_processor

Overview

seya_image_processor is a Python library for image preprocessing that converts images to low-contrast, blurred sketches. It provides two main functions: one that returns the processed image as a base64 string, and another that returns the processed image as a PIL Image object.

Installation

To install the seya_image_processor library, use the following pip command:

pip install seya_image_processor

Usage

Here's how you can use the library:

1. Import the library:

from seya_image_processor import process_image_to_base64, process_image_to_array

2. Process an image to base64:

with open("path_to_image.png", "rb") as image_file:
    base64_result = process_image_to_base64(image_file)
print(base64_result)

3. Process an image to a PIL Image:

with open("path_to_image.png", "rb") as image_file:
    processed_image = process_image_to_array(image_file)
processed_image.show()

Functions

preprocess_image(image)

• Parameters:
  • image (PIL.Image): The input image to preprocess.
• Returns:
  • blurred_image (numpy.ndarray): The preprocessed, blurred image.

process_image_to_base64(image_file)

• Parameters:
  • image_file (file-like object): The input image file to process.
• Returns:
  • processed_image_base64 (str): The processed image encoded as a base64 string.

process_image_to_array(image_file)

• Parameters:
  • image_file (file-like object): The input image file to process.
• Returns:
  • pil_image (PIL.Image): The processed image as a PIL Image object.