video-features
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Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, and TIMM models.
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Jan 31, 2025 - Python
Source code for "Taming Visually Guided Sound Generation" (Oral at the BMVC 2021)
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Jul 12, 2024 - Jupyter Notebook
Source code for "Bi-modal Transformer for Dense Video Captioning" (BMVC 2020)
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Apr 8, 2023 - Jupyter Notebook
Video Feature Extraction Code for EMNLP 2020 paper "HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training"
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Jun 9, 2021 - Python
Feature Extractor module for videos using the PySlowFast framework
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Apr 22, 2021 - Python
Motion energy features from video
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Mar 3, 2025 - Python
deep_video_extraction is a powerful repository designed to extract deep feature representations from video inputs using pre-trained models. With support for both visual and aural features from videos. Additionally, you can process audio separately by converting it into spectrograms.
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Aug 9, 2024 - Python
Repository with code to extract different features from video and images.
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May 7, 2018 - Python
Video feature extractor in PyTorch.
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Nov 30, 2020 - Python
A simple motion extraction for video inspired from posy
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Aug 13, 2024 - Python
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