Optimizing Deep Learning Inference with PyTorch using No Grad
Deep learning has revolutionized how we tackle complex tasks in computer vision, enabling machines to perceive and understand the content of images and videos. When working with videos, it becomes crucial to balance accuracy and efficiency. In this article, I will share with you how to leverage PyTorch and OpenCV to process video frames using optimal techniques, ensuring efficient inference without compromising on the quality of the results.
Modern deep learning models excel at many tasks, from image classification to object detection, if you are still following the recent developments you have probably heard about what chat-GPT, GPT-4-Vision, Gemini, and others can do (see picture below).
When it comes to video processing, the deployment of a model for real-time video analysis necessitates a strategic approach that optimizes both memory usage and computational speed. By…
