UCERD Rawalpindi
Supercomputing Center
UCERD Murree
Introduction (Slides)
Introduction to Computer Vision
(Slides)Introduction to Python (Slides) (examples datatypes)
Filtering Convolution (Slides)
Transformation (Slides)
Features Description (Slides)
Video Processing (Slides)
Recognition (Slides)
Machine Learning (Slides) (code)
Medical Imaging
Image Processing
Real-time Image Processing for Health-care
Image Processing
Real-time Image Processing for Health-care
Practical Machine Learning with Python: A Problem-Solver’s Guide to Building Real-World Intelligent Systems
Author(s):Dipanjan Sarkar, Raghav Bali, Tushar Sharma
Practical Machine Learning with Python
Dipanjan Sarkar, Raghav Bali, Tushar Sharma
Building Machine Learning Systems with Python
Author(s): Willi Richert, Luis Pedro Coelho
Machine Learning for OpenCV: Intelligent image processing with Python
Author(s):Dipanjan Sarkar, Raghav Bali, Tushar Sharma
Practical Machine Learning with Python
Dipanjan Sarkar, Raghav Bali, Tushar Sharma
Building Machine Learning Systems with Python
Author(s): Willi Richert, Luis Pedro Coelho
Machine Learning for OpenCV: Intelligent image processing with Python
Dr. Tassadaq Hussain.
www.tassadaq.ucerd.com
He is a permanent faculty member at, Riphah International University.
He did his Ph.D. from Barcelona-tech Spain, in collaboration with Barcelona Supercomputing Center and Microsoft Research Center.
He is a member of HiPEAC: European Network on High Performance and Embedded Architecture and Compilation, Barcelona Supercomputing Center and Microsoft ResearchCentre Spain.
Until January 2018, he had more than 14 years of industrial experience including, Barcelona Supercomputing Centre Spain, Infineon technology France, Microsoft Research Cambridge, PLDA Italia, IBM Zurich Switzerland, and REPSOL Spain. He has published more than 50 international publications and filed 5 patents.
Tassadaq's main research lines are Machine Learning, Parallel Programming, Heterogeneous Multi-core Architectures, Single board Computers, Embedded Computer Vision, Runtime Resource Aware Architectures, Software Defined Radio and Supercomputing for Artificial Intelligence and Scientific Computing.
www.tassadaq.ucerd.com
www.tassadaq.ucerd.com
He is a permanent faculty member at, Riphah International University.
He did his Ph.D. from Barcelona-tech Spain, in collaboration with Barcelona Supercomputing Center and Microsoft Research Center.
He is a member of HiPEAC: European Network on High Performance and Embedded Architecture and Compilation, Barcelona Supercomputing Center and Microsoft ResearchCentre Spain.
Until January 2018, he had more than 14 years of industrial experience including, Barcelona Supercomputing Centre Spain, Infineon technology France, Microsoft Research Cambridge, PLDA Italia, IBM Zurich Switzerland, and REPSOL Spain. He has published more than 50 international publications and filed 5 patents.
Tassadaq's main research lines are Machine Learning, Parallel Programming, Heterogeneous Multi-core Architectures, Single board Computers, Embedded Computer Vision, Runtime Resource Aware Architectures, Software Defined Radio and Supercomputing for Artificial Intelligence and Scientific Computing.
www.tassadaq.ucerd.com
Computer Vision provides an intensive introduction to the process of generating a symbolic description of an environment from an image. The course describes the physics of image formation, motion vision and recovering shapes from shading. Binary image processing and filtering are presented as preprocessing steps. Further topics include object representation alignment, stereo vision, analog and digital VLSI. Applications to biomedical imaging, robotics and intelligent machine interaction are discussed.
The students will have the unique opportunity to use Visual Processing System having cutting-edge NVIDIA Jetson TK1 DevKit and heterogeneous multi-core hardware and C/C++ programming model linked with open source libraries. Student learn practical introduction to key hardware and software topics including algorithms, processors, sensors, tools, libraries, and standards currently used for vision-based application and system design.
The students will have the unique opportunity to use Visual Processing System having cutting-edge NVIDIA Jetson TK1 DevKit and heterogeneous multi-core hardware and C/C++ programming model linked with open source libraries. Student learn practical introduction to key hardware and software topics including algorithms, processors, sensors, tools, libraries, and standards currently used for vision-based application and system design.
Advanced Computer Vision
UCERD Gathering Intellectuals Fostering Innovations
Unal Center of Educaiton Research & Development
Unal Center of Educaiton Research & Development
