Computer Vision Tutorials
Using image processing, machine learning and deep learning methods to build computer vision applications using popular frameworks such as OpenCV and TensorFlow in Python.
How to Recognize Optical Characters in Images in Python
Using Tesseract OCR library and pytesseract wrapper for optical character recognition (OCR) to convert text in images into digital text in Python.
How to Detect Shapes in Images in Python using OpenCV
Detecting shapes, lines and circles in images using Hough Transform technique with OpenCV in Python. Hough transform is a popular feature extraction technique to detect any shape within an image.
How to Perform Edge Detection in Python using OpenCV
Learning how to apply edge detection in computer vision applications using canny edge detector algorithm with OpenCV in Python.
How to Use Transfer Learning for Image Classification using TensorFlow in Python
Learn what is transfer learning and how to use pre trained MobileNet model for better performance to classify flowers using TensorFlow in Python.
How to Generate and Read QR Code in Python
Learning how you can generate and read QR Code in Python using qrcode and OpenCV libraries.
How to Make an Image Classifier in Python using Tensorflow 2 and Keras
Building and training a model that classifies CIFAR-10 dataset images that were loaded using Tensorflow Datasets which consists of airplanes, dogs, cats and other 7 objects using Tensorflow 2 and Keras libraries in Python.
Face Detection using OpenCV in Python
Performing face detection using both Haar Cascades and Single Shot MultiBox Detector methods with OpenCV's dnn module in Python.
