Alexandr Opublikowano 1 Stycznia 2015 Opublikowano 1 Stycznia 2015 OpenCV Computer Vision Application Programming English | 2 hrs 27 mins | .MP4, x264, 1280x720 | AAC, 2 Ch | 511 Mb Genre: eLearning Incorporate OpenCV's powerful computer vision application programming techniques to build and make your own applications stand out from the crowd. Learn everything you need to get started with OpenCV Contains many practical examples covering different areas of computer vision that can be mixed and matched to build your own application Packed with code with relevant explanation to demonstrate real results from real images If you are a novice or expert C++ programmer who wants to learn how to use the OpenCV library to develop computer vision applications in ways such as augmented reality, robotics, surveillance, computational photography, object detection or identification then this course is for you. Prior knowledge of computer vision or image processing is not needed. What You Will Learn Learn what OpenCV is and how to install it on Linux and Windows Development with OpenCV using the recommended C++ interface, as well as an introduction to the Python and C interfaces. Segment objects in your images using grabcut and watershed, cluster your data, and spot interesting points in the image Merge different images into a single panorama using the technique called panorama stitching Detect common objects in your images, like faces, eyes, or people Train your own object detector to detect custom objects Recognize a face among many others Learn to calibrate your camera Remove or reduce the distortion of an image caused by the lens, commonly known as barrel distortion Change the perspective of an image to match a different 3D pose Create an image that represents depth information of the scene using stereoscopic images DOWNLOAD This is the hidden content, please Zaloguj się lub Zarejestruj się This is the hidden content, please Zaloguj się lub Zarejestruj się This is the hidden content, please Zaloguj się lub Zarejestruj się Cytuj
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