: Use a Vision Transformer (ViT) backend to process frame embeddings, applying temporal attention to understand the relationship between different points in the video sequence.
To develop a piece for this topic—specifically if you are working on a project or assignment involving deep learning with video files—follow these key stages: 1. Define the Data Pipeline 236781 mp4
: Use libraries like OpenCV or FFmpeg to extract individual frames at a consistent frame rate (e.g., 25 FPS). : Use a Vision Transformer (ViT) backend to