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Computer Vision on the Raspberry Pi 4/ with Matt Scarpino.
- Format:
- Video
- Author/Creator:
- Scarpino, Matt, speaker.
- Language:
- English
- Genre:
- Instructional films.
- Educational films.
- Video recordings.
- Physical Description:
- 1 online resource
- polychrome
- Place of Publication:
- Carpenteria, CA: linkedin.com, 2021.
- System Details:
- Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.
- Summary:
- Find out how to write and execute computer vision applications on the Raspberry Pi 4.
- 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.
- Participant:
- Presenter: Matt Scarpino
- Notes:
- 10/28/2021
- Access Restriction:
- Restricted for use by site license.
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