You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
In this tutorial, you will learn how to perform face detection with the dlib library using both HOG + Linear SVM and CNNs. The dlib library is arguably one of the most utilized packages for face recognition. A Python package…
Read More of Face detection with dlib (HOG and CNN)
In this tutorial, you will learn how to perform adversarial attacks using the Fast Gradient Sign Method (FGSM). We will implement FGSM using Keras and TensorFlow. A dataset of images and their labels is critical for understanding adversarial attacksusing FGSM.…
Read More of Adversarial attacks with FGSM (Fast Gradient Sign Method)
In this tutorial, you will learn how to rotate an image using OpenCV. Additionally, I’ll also show you how to rotate an image using my two convenience functions from the imutils library, imutils.rotate and imutils.rotate_bound, which make rotating images with…
Read More of OpenCV Rotate Image
In this tutorial, you will learn how to use OpenCV and the cv2.imread function to: Load an input image from disk Determine the image’s width, height, and number of channels Display the loaded image to our screen Write the image…
Read More of OpenCV Load Image (cv2.imread)
In this tutorial, you will learn how to resize an image using OpenCV and the cv2.resize function. Scaling, or simply resizing, is the process of increasing or decreasing the size of an image in terms of width and height. A…
Read More of OpenCV CV2 Resize Image ( cv2.resize )
In this tutorial you will learn how to implement and train a siamese network using Keras, TensorFlow, and Deep Learning. This tutorial is part two in our three-part series on the fundamentals of siamese networks: Part #1: Building image pairs…
Read More of Siamese network with Keras, TensorFlow, and Deep Learning
In this tutorial you will learn how to train a custom deep learning model to perform object detection via bounding box regression with Keras and TensorFlow. A dataset with images annotated with bounding boxes and class labels is essential for…
Read More of Object detection: Bounding box regression with Keras, TensorFlow, and Deep Learning
In this tutorial, you will learn how to perform image segmentation with Mask R-CNN, GrabCut, and OpenCV. A couple months ago, you learned how to use the GrabCut algorithm to segment foreground objects from the background. GrabCut worked fairly well…
Read More of Image Segmentation with Mask R-CNN, GrabCut, and OpenCV
In this tutorial, you will build a basic Automatic License/Number Plate Recognition (ANPR) system using OpenCV and Python. An ANPR-specific dataset, preferably with plates from various countries and in different conditions, is essential for training robust license plate recognition systems,…
Read More of OpenCV: Automatic License/Number Plate Recognition (ANPR) with Python
