A hashtag generator using tensorflow and nltk
Project description
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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