Mastering Computer Vision Inference Frameworks

In this paper, we present a comprehensive empirical study to evaluate four prominent Computer Vision inference frameworks. Our goal is to shed light on their strengths and weaknesses and provide valuable insights into the challenges of selecting the right inference framework for diverse situations. Additionally, we discuss the potential room for improvement to accelerate inference computing efficiency.