target major use cases in surveillance recordings both batch and realtime. Phase one target hosptal surveillance batch angry and resent feelings, in order to avoid any more tragedy in the world
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Updated
Jan 20, 2020
target major use cases in surveillance recordings both batch and realtime. Phase one target hosptal surveillance batch angry and resent feelings, in order to avoid any more tragedy in the world
This repository presents a refined video summarization and sentiment analysis pipeline built entirely on video inputs using official Hugging Face models, including BLIP, SmolVLM (2.2B & 500M), XCLIP, and VideoMAE.
Multimodal Sentimental Analysis is a repository containing Jupyter notebooks and resources for performing sentiment analysis across multiple data modalities: audio, image, text, and video. The project provides separate notebooks for analyzing sentiment from each modality type.
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