The Choices I have experimented with OpenCV and Dlib face detection in my computer vision pipeline. Both work well, but the Dlib one worked better: it is more sensitive with (in my case) almost no false positives right out of the box! Dlib uses several HOG filters that account for profile as well as frontal … Continue reading Detecting Faces with Dlib from F#. IFSharp Notebook
Tag: f#
Zooming Through Euler Path: Supercharging with GPU
So, continuing where we left off: Walking the Euler Path: Intro Visualizing Graphs Walking the Euler Path: GPU for the Road Walking the Euler Path: PIN Cracking and DNA Sequencing For the Win And finally I ran the GPU-enabled algorithm for finding the Euler path. And the results: Generating euler graph: vertices = 10,485,760; avg … Continue reading Zooming Through Euler Path: Supercharging with GPU
Visualizing Graphs
Previously Walking the Eule Path: Intro Generating and Visualizing Graphs I can hardly overemphasize the importance of visusalizations. Many a bug had been immediately spotted just by looking at a visual of a complex data structure. I therefore decided to add visuals to the project as soon as the DirectedGraph class was born. Code & … Continue reading Visualizing Graphs
Walking the Euler Path: Intro
Source Code I'm thinking about a few posts in these series going very fast through the project. The source is on my GitHub, check out the tags since the master branch is still work in progress. Experimenting with Graph Algorithms with F# and GPU Graphs play their role in bioinformatics which is my favorite area … Continue reading Walking the Euler Path: Intro
Look-and-say: [Alea.]CUDA
Continuing the Advent of Code theme from the previous post. Figured since this year is going to be my year of CUDA, this would be a good opportunity to take it for a ride. A good April 1st post, but why wait? So, how can we make this even faster than the already fast imperative … Continue reading Look-and-say: [Alea.]CUDA
Non-linear Thinking with CUDA.
I love GPU programming for precisely this: it forces and enables you to think about a solution in a non-linear fashion in more than one sense of the word. The Problem Given a set $latex A = \{a_1, a_2 \ldots a_n\}$, output a set $latex S_A = \{0,\ \sum\limits_{k=1}^{n} a_k,\ \sum\limits_{k=i}^{i + j \mod n} … Continue reading Non-linear Thinking with CUDA.
Modelling Stochastically Independent Processes with F# Computation Expressions: Part 1
The idea for doing this is not new. There is an excellent series of posts closely tracing an article on applications of functional programming to probability. A colleague of mine has recently called my attention to his own post of two years ago, where he describes a monad that models stochastically independent events in Clojure. … Continue reading Modelling Stochastically Independent Processes with F# Computation Expressions: Part 1
