Tag Archives | object detection

Getting started with the NVIDIA Jetson Nano

In this tutorial, you will learn how to get started with your NVIDIA Jetson Nano, including: First boot Installing system packages and prerequisites Configuring your Python development environment Installing Keras and TensorFlow on the Jetson Nano Changing the default camera Classification and object detection with the Jetson Nano I’ll also provide my commentary along the […]

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Getting started with Google Coral’s TPU USB Accelerator

In this tutorial, you will learn how to configure your Google Coral TPU USB Accelerator on Raspberry Pi and Ubuntu. You’ll then learn how to perform classification and object detection using Google Coral’s USB Accelerator. A few weeks ago, Google released “Coral”, a super fast, “no internet required” development board and USB accelerator that enables […]

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OpenVINO, OpenCV, and Movidius NCS on the Raspberry Pi

Inside this tutorial, you will learn how to utilize the OpenVINO toolkit with OpenCV for faster deep learning inference on the Raspberry Pi. Raspberry Pis are great — I love the quality hardware and the supportive community built around the device. That said, for deep learning, the current Raspberry Pi hardware is inherently resource-constrained and […]

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Object tracking with dlib

This tutorial will teach you how to perform object tracking using dlib and Python. After reading today’s blog post you will be able to track objects in real-time video with dlib. A couple months ago we discussed centroid tracking, a simple, yet effective method to (1) assign unique IDs to each object in an image […]

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