Deploying A Cross Platform Deep Learning Application - run inference with Tensorflow Lite on iOS, Android, MacOS, Windows and Linux using Python
Run inference with Tensorflow Lite on iOS, Android, MacOS, Windows and Linux using Python
Scroll down for Python code to run inference with Tensorflow Lite that works on Android, iOS, Windows, MacOS and Linux.
Python is a fantastic ecosystem. There are so many high quality open source libraries available that help you quickly build quite complex projects that just work. This no doubt contributes to Python’s popularity as a Deep Learning framework. Crucially, pip (or pipenv) handles the dependencies for you so that you avoid descending into version hell. This makes Python great for prototyping, but getting to a polished product that is easy to use can sometimes be more work than all the rest put together. As the joke goes, the answer might be “I wouldn’t start from here”.
Port your android App to iOS Platform from SISGAIN by the highly dedicated developers.
Learn the difference between Android and iOS both of which are very famous operating systems. Learn which is better for app development?
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Android projects with source code - Work on real-time android projects. We’ll start project ideas from beginners level and later move to advance projects.
Hello World, today we are going to see how we can implement a dark theme or night mode in our android application. This tutorial is going to be very simple and easy to understand. The dark theme is attractive to users and it is comfortable for low light conditions.