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Feasibility Test of Transformer, PredRNN and ConvLSTM scratch implementation for video generation by frame prediction

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shoaibmustafakhan/Edge-Device-Video-Generation

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Edge-Device-Video-Generation

This project contains a collection of models i.e. PredRNN, ConvLSTM, and a ViT, as a study on feasibility of generating videos on the average edge computer device. As per the specifications of the studying system: 24 GB DDR5 RAM 8GB VRAM GTX 4060 Ryzen 7

The generations have been limited and almost incoherent with the training data. For more information, please access each of the files and try it out for yourself!

Please also make sure that you have installed a similar version of PyTorch and CUDA.

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Feasibility Test of Transformer, PredRNN and ConvLSTM scratch implementation for video generation by frame prediction

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