Learn how to correct the NVIDIA Jetson Inference Library to work properly with the Raspberry Pi Camera in this video lesson. Discover a quick fix that will streamline future lessons and improve functionality. Follow along as the instructor demonstrates the process of editing code, using GEdit, working with GString and GStreamer, recompiling the library, and testing the results. Gain valuable insights into optimizing AI performance on the Jetson Nano platform with this essential tutorial.
Improving NVIDIA Jetson Inference Library for RPi Camera
Overview
Syllabus
Introduction
Last weeks code
GEdit
GString
GStreamer
Recompiling
Testing
Taught by
Paul McWhorter
Related Courses
-
NVIDIA Jetson Xavier NX Machine Learning Tutorials
-
AI on the Jetson Nano - Object Detection and Recognition in OpenCV
-
AI on the Jetson Nano - Controlling Servos with the Jetson Nano Using the PCA9685
-
AI on the Jetson Nano - Installing NVIDIA Object Detection and Inference Tools
-
AI on the Jetson Nano - Running the Raspberry Pi Camera in OpenCV
-
AI on the Jetson Nano - Add Voice and Speech Capability to the Jetson Nano
