Jetson Nano Boot Camp

Course content

  • Introduction
  • Hardwares
  • Python Basics (Optional)
  • OpenCV (Optional)
  • Machine Learning
  • Real Time Object Detection (Arduino Board)
  • Arduino Basics (Optional)
  • Project 1: Controlling Arduino with Python
  • Jetson Nano Board Set Up
  • OpenCV and Python Installation on Jetson Nano
  • Installation of Camera
  • L298N
  • Project 2: School Crossing Sign (for Autonomous Vehicles)
  • Other Courses

Automotive Camera [Apply Computer vision, Deep learning] – 1

Course content

  • Introduction
  • Camera in ADAS & Autonomous Driving Application
  • Camera Image Formation and Calibration
  • Image classfication, Localization, segmentation and Object detection
  • Concept of Multi Object Tracking for camera images
  • Wrap up

Deep Learning Application for Earth Observation

Course content

  • Introduction
  • Deep learning environment setup
  • Deep learning dataset preparation using ArcGIS Pro
  • Open source solution for data preparation (geotile)
  • Image classification
  • Deep learning object detection
  • Image segmentation (Binary class)
  • Image segmentation (Multi-class)
  • Landslide detection
  • Time Series Analysis with LSTM
  • Flood mapping
  • End to End Deep Learning and Google Earth Engine