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In this video we will build a python script that will allow us to caption any image that we pass to it, and provide us with a description of what the image is. We will take a look at working with the Blip model as well as Huggingfaces transformers library to build this script. We will also build a gradio interface that will allow us to create a web UI through which we can perform our image captioning task. The concepts covered will help you understand the fundamentals of working with image captioning in the world of computer science and how to utilize python to build your own image captioning/image describing script. This is an excellent guide for beginner Python/ML developers, or anyone looking to learn Blip image captioning using hugging-faces tranformers library and python.
Resources:
Source Code: https://cutt.ly/YeiAbMu0
Pillow: https://pypi.org/project/pillow/
Transformers: https://pypi.org/project/transformers/
PyTorch: https://pytorch.org/get-started/locally/
Gradio: https://www.gradio.app/guides/quickstart
Blip Docs: https://huggingface.co/docs/transform...
Blip Model: https://huggingface.co/Salesforce/bli...
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