Metadata-Version: 2.1
Name: memories
Version: 0.4
Summary: A library for those who want to convert their older images into digitised format (with metadata), and beautify them using borders and other options.
Home-page: https://github.com/veedata/album-manager
Author: Viraj Thakkar
Author-email: vdthakkar111@gmail.com
License: UNKNOWN
Download-URL: https://github.com/veedata/album-manager/archive/refs/tags/v0.4-beta.tar.gz
Project-URL: Code, https://github.com/veedata/album-manager
Project-URL: Issue tracker, https://github.com/veedata/album-manager/issues
Description: Memories
        ======
        
        [![PyPi](https://img.shields.io/pypi/v/memories.svg)](https://pypi.org/project/memories/)
        [![Downloads](https://pepy.tech/badge/memories)](https://pepy.tech/project/memories)
        [![License](https://img.shields.io/github/license/veedata/album-manager)](https://github.com/veedata/album-manager/blob/main/LICENSE.txt)
        [![Language grade: Python](https://img.shields.io/lgtm/grade/python/github/veedata/album-manager)](https://lgtm.com/projects/g/veedata/album-manager/context:python)
        
        Description
        ------
        
        Memories is an easy to use package that helps to seperate clustered images from files and helps add metadata to files. The documentation is in progress and will be present in the "``docs``" directory of the project in the future. For the time being the following steps should be an adequate description of all functions present.
        
        Installation
        ------
        
            $ pip install memories
        
        How to Use:
        ------
        There are 6 functions at the time being:
        * ``dividedCrop``: Takes 3 inputs, the path to the image, the path where the outful folder should be and the number of images present in the input file. It performs the task of dividing a single image into multiple smaller ones. 
        * ``addDate``: Taken input as the image path and the datetime to be added. it will add date when the image was originally taken.
        * ``bulkAddDate``: Same as addDate, except it will add date to all images in a folder. The inputs are the folder path and datetime.
        * ``saveAsPDF``: Converts a list of images (one or more) into a PDF
        * ``saveAsPNG``: Converts a single image into PNG format
        * ``saveAsJPG``: Converts a single image into JPG format
        * ``makePage``: Creates a year book like page in HTML
        
        Example
        ------
          
            import memories
        
            memories.dividedCrop("./image.png", "./", 4)
            memories.addDate("./image-1.jpg", "27/04/2021 12:00:03")
            memories.bulkAddDate("./", "27/04/2021 12:00:03")
            memories.saveAsPDF(["./source_folder/image1.png", "./random/another_source_folder/image2.jpg"], "./save_folder/file.pdf")
            memories.saveAsPNG("./source_folder/image1.jpg", "./output_folder")
            memories.saveAsJPG("./source_folder/image1.png", "./output_folder")
            memories.makePage(["./source_folder/image1.png", "./random/another_source_folder/image2.jpg"], ["CSS", "Larry"], ["SASS", "That one got to you, didnt it"], "./save_folder")
        
        
        Features
        ------
        
        Current features that are present are: 
        1. Crop out basic implementation
        2. Add Date and time metadata 
        3. Save as PDF, PNG, JPG
        4. Basic Scrapbook implmentation
        
        Future features can also be found at https://github.com/veedata/album-manager/projects/1:
        1. Border
        2. Collage
        3. Image Age identifyer
        4. Documentation
        
        License
        ------
        This software is released under the MIT license, see [LICENSE.txt](https://github.com/veedata/album-manager/blob/main/LICENSE.txt).
        
Keywords: computer vision,image processing,opencv,album
Platform: UNKNOWN
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.6
Description-Content-Type: text/markdown
