jfzhang95/pytorch-video-recognition

Health v2 · maintenance only

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Adoption not part of the score

1236 stars · 252 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A PyTorch library implementing C3D, R3D, and R2Plus1D models for video action recognition, with training scripts for UCF101 and HMDB51 datasets. It includes a pretrained C3D model and dataset preprocessing utilities.

Use cases

• train a C3D model on UCF101
• classify human actions in videos
• fine-tune R2Plus1D on my own video dataset
• get a pretrained video recognition model in PyTorch
• reproduce video action recognition experiments
• extract video features with C3D

When to choose

• you need classic 3D CNN baselines (C3D, R3D, R2Plus1D) in PyTorch
• you want to train or fine-tune action recognition on UCF101/HMDB51-style datasets
• you need a simple, readable research codebase to modify

When to avoid

• you need state-of-the-art video transformers or modern architectures
• you want production-ready inference pipelines or active maintenance
• you need pretrained models beyond C3D or datasets beyond UCF101/HMDB51

Facets

library · maturity maintenance

machine-learning deep-learning video-processing computer-vision computer-vision deep-learning machine-learning python cross-platform pytorch video-action-recognition c3d r3d r2plus1d ucf101 hmdb51 research-code video gpu linux

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