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.
Image Transformations using OpenCV in Python
Learn how to perform perspective image transformation techniques such as image translation, reflection, rotation, scaling, shearing and cropping using OpenCV library in Python.
How to Make a Barcode Reader in Python
Learn how to make a barcode scanner that decodes barcodes and draw them in the image using pyzbar and OpenCV libraries in Python
How to Perform Malaria Classification using TensorFlow 2 and Keras in Python
Learn how to build a deep learning malaria detection model to classify cell images to either infected or not infected with Malaria Tensorflow 2 and Keras API in Python.
Skin Cancer Detection using TensorFlow in Python
Learn how to use transfer learning to build a model that is able to classify benign and malignant (melanoma) skin diseases in Python using TensorFlow 2.
How to Blur Faces in Images using OpenCV in Python
Blurring and anonymizing faces in images and videos after performing face detection using OpenCV library in Python.
How to Perform YOLO Object Detection using OpenCV and PyTorch in Python
Using the state-of-the-art YOLOv3 object detection for real-time object detection, recognition and localization in Python using OpenCV and PyTorch.
How to Use K-Means Clustering for Image Segmentation using OpenCV in Python
Using K-Means Clustering unsupervised machine learning algorithm to segment different parts of an image using OpenCV in Python.
How to Detect Contours in Images using OpenCV in Python
Learning how to detect contours in images for image segmentation, shape analysis and object detection and recognition using OpenCV 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.
