If you’ve ever come close to anything related to audio or other signal processing, you likely already know about spectrograms. Those fancy-looking and usually colorful plots are commonly used to represent a spectrum’s change over time.
We’ve got a lot of great ideas for running AI/XR solutions on a mobile device, and our team needs a strong iOS developer to bring them to life.
This blog post covers some important aspects of deploying and running classical computer vision algorithms as well as convolutional neural networks in a web front-end. Please make sure you have read the first part of the blog post. This will definitely help you to follow all technical aspects much easier. How can you pass an image or a video frame from JS to C++ and back? We’ll give a minimal example.
Are you interested in Computer Vision (CV)? Probably yes, if you are reading this. If you read CV tutorials, you might have noticed that most of them are in Python. This applies to both traditional CV (without neural networks) and, even more, to deep learning (neural networks). Occasionally, CV tutorials use C++ instead of Python, but any other programming languages are very rare.