  PhyCV is the first computer vision library which utilizes algorithms directly
derived from the equations of physics governing physical phenomena. The
algorithms appearing in the current release emulate, in a metaphoric sense, the
propagation of light through a physical medium with natural and engineered
diffractive properties followed by coherent detection. Unlike traditional
algorithms that are a sequence of hand-crafted empirical rules or deep learning
algorithms that are usually data-driven and computationally heavy,
physics-inspired algorithms leverage physical laws of nature as blueprints for
inventing algorithms. PhyCV features low-dimensionality and high- efficiency,
making it ideal for edge computing applications. We demonstrate real-time video
processing on NVIDIA Jetson Nano using PhyCV. In addition, these algorithms
have the potential to be implemented in real physical devices for fast and
efficient computation in the form of analog computing. The open-sourced code is
available at https://github.com/JalaliLabUCLA/phycv
