shan18/Perceiver-Resampler-XAttn-Captioning
Generating Captions via Perceiver-Resampler Cross-Attention Networks
This project helps generate natural language descriptions for images and videos. You input an image or video, and it outputs a textual caption describing its content. This tool is useful for researchers and developers working on content accessibility, automated content moderation, or large-scale media analysis.
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Use this if you need to automatically generate descriptive text for visual content, such as images or short videos, using a powerful pre-trained model.
Not ideal if you require real-time captioning on live video feeds or need to fine-tune a model on a very small, highly specialized dataset without transfer learning.
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Language
Python
License
MIT
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Last pushed
Dec 20, 2022
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