Search Results for: text detection

In this tutorial, you will learn the basics of TensorFlow’s tf.data module used to build faster, more efficient deep learning data pipelines. A good dataset is necessary when working with tf.data in TensorFlow. It allows us to understand how to…

Our entire review of machine learning and neural networks thus far has been leading up to this point: understanding Convolutional Neural Networks (CNNs) and the role they play in deep learning. In traditional feedforward neural networks, each neuron in the…

In this tutorial, you will learn about image gradients and how to compute Sobel gradients and Scharr gradients using OpenCV’s cv2.Sobel function. Image gradients are a fundamental building block of many computer vision and image processing routines. We use gradients…

In this tutorial, you will learn how to implement face recognition using the Eigenfaces algorithm, OpenCV, and scikit-learn. Our previous tutorial introduced the concept of face recognition — detecting the presence of a face in an image/video and then subsequently…

We’ll study the fundamentals of neural networks in depth. We’ll start with a discussion of artificial neural networks and how they are inspired by the real-life biological neural networks in our own bodies. From there, we’ll review the classic Perceptron…

In this tutorial, you will learn how to perform face recognition using Local Binary Patterns (LBPs), OpenCV, and the cv2.face.LBPHFaceRecognizer_create function. In our previous tutorial, we discussed the fundamentals of face recognition, including: The difference between face detection and face…

In this tutorial, you will learn about color spaces in OpenCV, the cv2.cvtColor function, and the importance of lighting conditions/environments when building a computer vision and image processing pipeline. A dataset with images in various color spaces is useful to…

In this tutorial, you will learn about applying morphological operations with OpenCV. The morphological operations we’ll be covering include: Erosion Dilation Opening Closing Morphological gradient Black hat Top hat (also called “White hat”) These image processing operations are applied to…

In this tutorial, you will learn about smoothing and blurring with OpenCV. We will cover the following blurring operations Simple blurring (cv2.blur) Weighted Gaussian blurring (cv2.GaussianBlur) Median filtering (cv2.medianBlur) Bilateral blurring (cv2.bilateralFilter) By the end of this tutorial, you’ll be…