Effective Video Augmentation Techniques for Training Convolutional Neural Networks
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Updated
Feb 13, 2024 - Python
Effective Video Augmentation Techniques for Training Convolutional Neural Networks
Implementation of brand new video augmentation strategy for video action recognition with 3D CNN
Video transformation for deep learning
realtime violence detection from videos using cnn-lstm model
Video augmentation in real-time
New video augmentation suited for thermal videos
You can batch augment your videos in the following categories: clockwise & anti-clockwise rotation,gaussian blur,brightness,vertical and horizontal flip,horizontal and vertical shift,zoom in and out
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