hashtagger

Name	hashtagger JSON
Version	0.1.2 JSON
	download
home_page
Summary	A hashtag generator using tensorflow and nltk
upload_time	2024-03-07 06:44:19
maintainer
docs_url	None
author	Meet Jethwa
requires_python
license	MIT
keywords	tagger
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            HASHTAGGER
===========

To generate tags for images using TensorFlow and OpenCV.

Using hashtagger, all of this can be done in just a few lines of code.

Installation
------------

You can install hashtagger using pip::

    pip install hashtagger

Usage
-----

Here's an example of how to use hashtagger to generate tags for images::

    from hashtagger import hashtagger

    # Create an instance of YourLibrary
    your_library = hashtagger()

    # Specify the path to the image you want to process
    image_path = ""  # Replace with the path to your image

    try:
        # Use the recognize_objects method to recognize objects in the image
        decoded_predictions = your_library.recognize_objects(image_path)

        # Use the generate_tags method to generate tags for the recognized objects
        tags = your_library.generate_tags(decoded_predictions)

        print("Recognized objects and tags:")
        for tag in tags:
            print(tag)

    except Exception as e:
        print(f"An error occurred: {e}")

License
-------

This project is licensed under the MIT License - see the LICENSE.txt file for details.


Changelog
==========

0.1.1 (2023-10-09)
-------------------
- Added Initial release of the hashtagger library.

            

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