PO Lecture 5 Profiling Large code bases Performance counters Unsuitable: too much code to annotate. Which section(s) of the code takes most of the time? Profiling to keep focus Find hotspots ...

Finding a hotspot and determining the execution limits The goal of this exercise is to model the performance of existing code using the tools we have seen so far: the GNU profiler to profile our c...

CV Lecture 7 Tracking a dynamic system Given a physical system, whether it be an aircraft, a chemical process, or the national economy, an engineer first attempts to develop a mathematical mod...

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UL Part 4: Dimensionality Reduction Overview over Part 4 We will… derive ‘principal components’, and show how they relate to variance decomposition; illustrate how principal components can ...

UL Part 3: Clustering Overview over Part 3 We will… explain how mixture models can be used for clustering via the maximum a posteriori rule; explain how kernel density estimation can be use...

Workshop 5 MISCADA – Computer Vision Prof. Paolo Remagnino Colour detection and segmentation Go to https://realpython.com/python-opencv-color-spaces/ Read the article Us...

![[Assignment Jan Feb 2025.pdf]] MISCADA – Computer Vision Assignment – Year 2024/2025 Part 1 Prof. Paolo Remagnino Introduction This assignment is split in two parts, with separate dead...

CV Lecture 6 Motion field and the Optical flow The Motion Field is the projection of the 3D scene motion into the image Optical flow is the apparent motion of brightness patterns in the imag...

CV Lecture 5 Tracking So far, we have studied methods to identify points of interest … and their descriptors We have revisited traditional and modern methods We have stu...