Ibzie/PyTorch-Video-Prediction-Models
🎯 Production-ready implementation of video prediction models using PyTorch. Features Enhanced ConvLSTM with temporal attention, PredRNN with spatiotemporal memory, and Transformer-based architecture.
This project helps machine learning engineers and researchers prototype and evaluate deep learning models for video frame prediction. It takes a sequence of video frames as input and generates predictions for future frames in that video. This is ideal for those exploring different model architectures for forecasting actions or events in video footage.
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Use this if you are a deep learning practitioner needing to quickly implement and compare video prediction models like ConvLSTM, PredRNN, and Transformer architectures.
Not ideal if you are looking for a plug-and-play solution for a specific video analysis task without prior deep learning experience.
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Python
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Last pushed
Dec 23, 2024
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