OpenCV Python Tutorial: Computer Vision With OpenCV In Python: Learn Vision Includes all OpenCV Image Processing Features with Simple Examples. Face Detection, Face Recognition. Computer Vision is an AI based, that is, Artificial Intelligence based technology that allows computers to understand and label images. Use OpenCV to work with image files. Create Face Detection Software. Detect Objects, including corner, edge, and grid detection techniques with OpenCV and Python. Use Python and Deep Learning to build image classifiers. Use Python and OpenCV to draw shapes on images and videos. Create Color Histograms with OpenCV
Computer Vision is an AI based, that is, Artificial Intelligence based technology that allows computers to understand and label images. Its now used in Convenience stores, Driver-less Car Testing, Security Access Mechanisms, Policing and Investigations Surveillance, Daily Medical Diagnosis monitoring health of crops and live stock and so on and so forth..
A common example will be face detection and unlocking mechanism that you use in your mobile phone. We use that daily. That is also a big application of Computer Vision. And today, top technology companies like Amazon, Google, Microsoft, Facebook etc are investing millions and millions of Dollars into Computer Vision based research and product development.
Computer vision allows us to analyze and leverage image and video data, with applications in a variety of industries, including self-driving cars, social network apps, medical diagnostics, and many more.
As the fastest growing language in popularity, Python is well suited to leverage the power of existing computer vision libraries to learn from all this image and video data.
What you'll learn
Complete hands-on Machine Learning tutorial with Data Science, Tensorflow, Artificial Intelligence, and Neural Networks. Introducing Tensorflow, Using Tensorflow, Introducing Keras, Using Keras, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Learning Deep Learning, Machine Learning with Neural Networks, Deep Learning Tutorial with Python
Python has been the go-to choice for Machine Learning, Data Science and Artificial Intelligence developers for a long time. Python libraries for modern machine learning models & projects: TensorFlow; Numpy; Scipy; Scikit-learn; Theano; Keras; PyTorch; Pandas; Matplotlib; ...
A step-by-step guide to setting up Python for Deep Learning and Data Science for a complete beginner