Implementing Image Processing with Elixir Using Livebook, Nx, and Evision

Ryo Wakabayashi presents a groundbreaking method of handling image processing in Elixir which traditionally has been the domain of languages like Python. By harnessing the capabilities of libraries such as Nx for numerical computations akin to those performed by NumPy, and Evision as an alternative to OpenCV, Elixir can now perform image processing tasks. This is further enriched by leveraging Elixir’s Flow for parallelism and distributed computing. Wakabayashi showcases how Livebook, an Elixir version of Jupyter Notebook, provides an intuitive and powerful platform for visualizing these operations in real-time. The presentation illustrates how images can be processed, results displayed directly, and modules shared as notebooks for quick implementation. Moreover, Livebook's one notebook per node approach makes understanding distributed processing more intuitive. The usage of these tools is not just limited to image processing but also extends to data analysis and AI model result visualization, which can influence the adoption of Elixir across various fields.