If you are looking for a quick and efficient way to start detecting and recognizing faces in your Python application, this course is for you! Learn very quickly how to use the FaceDetect framework and integrate it into your application. FaceDetect is a face detection and recognition framework built in Python on top of the work of several open source projects and models with the hope to reduce the entry barrier for developers and to encourage them to focus more on developing innovative applications that make use of face detection and recognition. The course is designed to provide students, who have a basic knowledge of Python, with the necessary tools to start using the FaceDetect framework. We recommend taking this course, if you are looking to: Build your next big application that uses face recognition quicklyDetect and recognize faces in images, videos and webcamsDraw facial features Extract detected faces from images, videos and webcamsComing out of this course, the learners will understand the principles that the FaceDetect framework uses to approach face detections and recognitions. That outcome underlines their acquisition of the following skills: Ability to set up a Python environment capable of running the FaceDetect frameworkUnderstanding the FaceDetect code structure and philosophyUnderstanding the settings that could be passed on to the FaceDetect frameworkDetect faces in images, videos and webcams in a few code manipulationsRecognize faces in images, videos and webcams in few code manipulationsDraw specific features on top of images using codeExtract faces from an imageExtend the features of the frameworkIt is a practical and fun course for enthusiasts to take in their free time to explore face recognition and include it in their applications.
