abstract-images 0.0.0.5

This module, part of the `abstract_essentials` package, provides a collection of utility functions for working with images and PDFs, including loading and saving images, extracting text from images, capturing screenshots, processing PDFs, and more.

abstract_images Module - Image and PDF Utilities

Part of the abstract_essentials Package

GitHub Repository: abstract_essentials
Contact Email: [e-mail]
Date: 08/27/2023
Version: 0.0.0.1

This module, part of the abstract_essentials package, provides a collection of utility functions for working with images and PDFs, including loading and saving images, extracting text from images, capturing screenshots, processing PDFs, and more.

Image Utilities - image_utils.py

The image_utils.py module contains functions for image-related operations.

Paths to Image Data:

• get_dimensions(image_path: str): Return dimensions (height, width) of the image.
• img_to_str(image_path: str): Convert image to text using pytesseract.
• get_pix(image_path: str): Return pixel data of the image.
• image_to_bytes(image_path: str, format: str = "PNG"): Convert an image to bytes.
• get_pixel_data(image_path: str): Get pixel data from the image and save the resultant image.
• open_image(image_path: str): Open and return the image using PIL.
• read_image(image_path: str): Read image using OpenCV and return it as a numpy array.

Paths to Save:

• save_url_img(url: str , image_path:str, format: str = "PNG"): Download an image from URL and save it.
• screenshot(image_path: str = "screenshot.png"): Take a screenshot and save it.
• save_image(image:Union[Image.Image, ndarray], image_path:str,format:str="PNG"): Save an image to the specified path.

Data to Image:

• get_image_bytes(image_data: bytes): Convert image data in bytes format to a BytesIO stream.
• pix_to_img(pixel_data: List[List[Tuple[int, int, int]]], image_path: str = "image.png"): Convert pixel data to an image and save it.
• show_image(image: Union[Image.Image, ndarray]): Display an image.

PDF Utilities - pdf_utils.py

The pdf_utils.py module provides functions for PDF processing.

Function Descriptions:

• if_none_return(obj, obj_2): Return primary object if secondary object is None.
• write_pdf(): Initialize and return a new PDF writer object.
• read_pdf(file): Read a PDF from a given path and return a PDF reader object.
• is_pdf_path(file): Check if a file path corresponds to a valid PDF file.
• get_pdf_obj(pdf_obj): Process a PDF object or file path and return its content.
• split_pdf(input_path, output_folder, file_name): Split a PDF file into separate pages.
• pdf_to_img_list(pdf_list, output_folder, file_name, paginate, extension): Convert PDF files into images.
• img_to_txt_list(img_list, output_folder, file_name, paginate, extension): Convert images to text using OCR.
• open_pdf_file(pdf_file_path): Open a PDF file using the default system application.
• image_to_text(image_path): Convert an image to text using Tesseract OCR.
• get_pdfs_in_directory(directory): Get a list of PDF filenames in a directory.
• get_all_pdf_in_directory(file_directory): Get full paths of all PDFs in a directory.
• collate_pdfs(pdf_list, output_pdf_path): Merge a list of PDFs into one.

Example Usage:

To showcase the pdf_utils module, here's an example combining several utility functions:

from abstract_images.pdf_utils import (
    get_file_name, get_directory, mkdirs, split_pdf, 
    pdf_to_img_list, img_to_txt_list
)

pdf_path = "path_to_pdf"
file_name = get_file_name(pdf_path)
directory = get_directory(pdf_path)
pdf_folder = mkdirs(os.path.join(directory, file_name))

pdf_split_folder = mkdirs(os.path.join(pdf_folder, "split"))
pdf_list = split_pdf(input_path=pdf_path, output_folder=pdf_split_folder, file_name=file_name)

pdf_Image_folder = mkdirs(os.path.join(pdf_folder, "images"))
img_list = pdf_to_img_list(pdf_list=pdf_list, output_folder=pdf_Image_folder, paginate=False, extension="png")

pdf_Text_folder = mkdirs(os.path.join(pdf_folder, "text"))
text_list = img_to_txt_list(img_list=img_list, output_folder=pdf_Text_folder, paginate=False, extension="txt")

Note:

For queries, bug reports, or feature requests, please raise an issue on the GitHub repository or contact us through the provided email: [e-mail]. Ensure that you have the required dependencies installed, and for OCR operations, ensure Tesseract is properly set up and its path is correctly specified.