Archive | Deep Learning

Keras Mask R-CNN

In this tutorial, you will learn how to use Keras and Mask R-CNN to perform instance segmentation (both with and without a GPU). Using Mask R-CNN we can perform both: Object detection, giving us the (x, y)-bounding box coordinates of for each object in an image. Instance segmentation, enabling us to obtain a pixel-wise mask for […]

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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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Liveness Detection with OpenCV

In this tutorial, you will learn how to perform liveness detection with OpenCV. You will create a liveness detector capable of spotting fake faces and performing anti-face spoofing in face recognition systems. Over the past year, I have authored a number of face recognition tutorials, including: OpenCV Face Recognition Face recognition with dlib, Python, and […]

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