You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
In this tutorial, you will create an automatic Sudoku puzzle solver using OpenCV, Deep Learning, and Optical Character Recognition (OCR). OCR and Sudoku solving algorithms demand diverse and complex data. A comprehensive dataset ensures that these algorithms are tested against…
Read More of OpenCV Sudoku Solver and OCR
In this tutorial, you will learn how to implement a COVID-19 social distancing detector using OpenCV, Deep Learning, and Computer Vision. Today’s tutorial is inspired by PyImageSearch reader Min-Jun, who emailed in asking: Hi Adrian, I’ve seen a number of…
Read More of OpenCV Social Distancing Detector
In this tutorial, we will learn how to apply Computer Vision, Deep Learning, and OpenCV to identify potential child soldiers through automatic age detection and military fatigue recognition. Military service is something of personal importance to me, something I consider…
Read More of An Ethical Application of Computer Vision and Deep Learning — Identifying Child Soldiers Through Automatic Age and Military Fatigue Detection
In this tutorial, you will learn how to fine-tune ResNet using Keras, TensorFlow, and Deep Learning. A couple of months ago, I posted on Twitter asking my followers for help creating a dataset of camouflage vs. noncamouflage clothes: This dataset…
Read More of Fine-tuning ResNet with Keras, TensorFlow, and Deep Learning
In this tutorial, you will learn how to perform automatic age detection/prediction using OpenCV, Deep Learning, and Python. Age detection models need a vast range of facial data across all age groups. A curated dataset library would provide the…
Read More of OpenCV Age Detection with Deep Learning
In this tutorial, you will learn how to use convolutional autoencoders to create a Content-based Image Retrieval system (i.e., image search engine) using Keras and TensorFlow. A few weeks ago, I authored a series of tutorials on autoencoders: Part 1:…
Read More of Autoencoders for Content-based Image Retrieval with Keras and TensorFlow
In this tutorial, you will learn how to use TensorFlow’s GradientTape function to create custom training loops to train Keras models. Today’s tutorial was inspired by a question I received by PyImageSearch reader Timothy: Hi Adrian, I just read your…
Read More of Using TensorFlow and GradientTape to train a Keras model
In this tutorial, you will learn how to perform anomaly and outlier detection using autoencoders, Keras, and TensorFlow. Back in January, I showed you how to use standard machine learning models to perform anomaly detection and outlier detection in image…
Read More of Anomaly detection with Keras, TensorFlow, and Deep Learning
In this tutorial, you will learn how to use autoencoders to denoise images using Keras, TensorFlow, and Deep Learning. Today’s tutorial is part two in our three-part series on the applications of autoencoders: Autoencoders with Keras, TensorFlow, and Deep Learning…
Read More of Denoising autoencoders with Keras, TensorFlow, and Deep Learning
