Computer Vision on the Raspberry Pi 4

Computer Vision On The Raspberry Pi 4

Description

More and more applications are using computer vision to detect and recognize objects. These applications usually execute on large computers, but developers can save money and power by running them on single-board computers (SBCs). The Raspberry Pi 4 is one of the most popular SBCs available. It’s also the first computer in the Raspberry Pi family powerful enough to execute computer vision applications. Also, the software needed to build these applications can be downloaded freely from the Internet. In this course, instructor Matt Scarpino shows programmers how to write and execute computer vision applications on the Raspberry Pi 4. Matt introduces you to using the Thonny IDE, the OpenCV library, and NumPy array operations. He steps through object detection and neural networks, then explores convolutional neural networks (CNNs), including the Keras package and the TensorFlow package. Matt also walks you through what you can do with a Raspberry Pi HQ camera.

Download Links

Direct Download

Computer Vision on the Raspberry Pi 4.zip (273.1 MB) | Mirror

The author(s) of this course invested a lot of time and effort in creating it. Please consider purchasing the course from the original author(s) if your budget permits. Your purchase motivates the author(s) to keep the course up-to-date and to provide support. The course also includes a certificate of completion. Thank you

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