Jetson Computer Vision FULL COURSE | Jetson Nano | Python #jeson #jetsonnano #nvidia

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Jetson Nano Computer Vision
Jetson Xavier Computer Vision
Nvidia Jetson

This is a full end-to-end course on computer vision with Python on Jetson. In this, we are going to understand how we can set up our #jetson device and install all the #python packages for inferencing. We will also be doing inferencing to detect people and faces. We will also learn how to track people and assign them a unique object Id. By the end of this course, you will be able to do any type of inferencing easily on #jetson
Follow the below timeline to move to your favorite chapter.

Introduction & Installation: (0:00)
Basics of OPENCV: (07:09)
Calculating FPS: (21:40)
Person Detection in Image: (29:10)
Person Detection in Video: (40:07)
Person Tracker: (51:12)
Face Detection: (01:04:22)
Dwell Time Calculation : (01:13:22)
Drawing Tracking lines to track persons: (01:24:38)
Monitor Social Distancing using Python: (01:34:29)

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Thank you so much for this tutorial and source code files. It really helped me start. +1 Subscriber

justdoingodswork
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please include multi cameras object detection using deep learning

animeshnayak
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Great Video. Could you please do the same with a custom image model?

YigalBZ
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How to I revert back to the original/initial desk top from xfce? I want to compare capabilities and speeds. Super tutorial.

chrismartinez
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my god. amazing coding skills bro. Can you make more such courses on IOT products ?

teetanrobotics
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Why didn't you use cv2.resize to resize image instead of imutils?

lochuynh
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can you suggest good real time moving object detection model?

SandeepReddyVakati
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I have question thou. Could I run these projects on Raspberry Pi 4? what are the minimum hardware requirement to run these projects on. What are cons and pros of them like using Rasp Pi 4 instead of Jetson Nano or Xavier. Could you make a video based on comparison. Thanks again.

justdoingodswork