menovideo: PyTorch library for video understanding скачать в хорошем качестве

menovideo: PyTorch library for video understanding

this library is the official implementation of our novel method data efficient video transformer (DeVTr) for achieving STOA in video understanding while limited data and HW resources https://pypi.org/project/menovideo/ out paper : https://ieeexplore.ieee.org/abstract/... transformer network has achieved very good results in term speed and accuracy one of big challenges facing researchers in computer vision with transformers especially in video tasks is the need for large data and high computational resources example Timesofrmer a video transformer by facebook which need hardware resources and good amount of data to get good results , our method called DeVTR (Data Efficient Video Transformer for Violence Detection) to overcame these challenges the need for large data and high computational resources the model achieved 96.25% based on RLVS dataset (which is currently the STOA results on this dataset) ,also worth to mention that it was better than TimeSformer in both memory efficiency and convergence speed and accuracy the menovideo package help you build video action recognition / video understanding model based on 1- build using our Novel model DeVTR with full customization (official implementation of DeVTr) with pre-trained weights available for free 2- video dataset reader and preprocessing to easily read videos and make them as pytorch ready dataloaders 3- Timedistributed warper similar to keras Timedistributed warper which can help you easily build (classical CNN+LSTM )