Description
Course DescriptionLearn to build real time pose detection iPhone app using Posenet deep learning algorithm. Deep learning is popular where a machine can be trained to detect poses in video and images. Once trained, it can be used to detect poses in any video or image. The app does not require any wifi or cellular connectivity. It uses deep learning and pretrained posenet model. It leverages apple's coreml and vision SDK to achieve pose detection entirely on the phone. Since the app does not send your images or vides to remote service, it maintains your privacy and data secured. Build a strong foundation in pose detection engines with this tutorial for beginners. Understanding fundamentals of pose detectionUnderstanding fundamentals of deep learning and CNN Benefits of posenet for fitness appsBuild a real life pose detection in video using posenet, computer vision, coreml and swiftBuild a real life pose detection in image using posenet, computer vision,, coreml and swiftA Powerful Skill at Your Fingertips Learning the fundamentals of real time pose detection puts a powerful and very useful tool at your fingertips. swift, posenet and coreml are free, easy to learn, has excellent documentation. No prior knowledge of CNN or deep learning is assumed. I'll be covering topics like CNN from scratch. Jobs in computer vision area are plentiful, and being able to learn real time object detection will give you a strong edge. YOLO is state of art technology that can quickly help you achieve your goal. Learning pose detection with posenet will help you become a computer vision developer which is in high demand. Content and Overview This course teaches you on how to build real time pose detection engine using open source posenet, coreml and swift. You will work along with me step by step to build following answersReal time pose detection in VideoReal time pose detection in imageFundamentals of CNN and posenetWhat am I going to get from this course?Learn posenent and build real time pose detection engine from professional trainer from your own desk. Over 15 lectures teaching you how to build real time pose detection engineSuitable for intermediate programmers and ideal for users who learn faster when shown. Visual training method, offering users increased retention and accelerated learning. Breaks even the most complex applications down into simplistic steps. Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges.
