Tag Archives | svm

Machine Learning in Python

Struggling to get started with machine learning using Python? In this step-by-step, hands-on tutorial you will learn how to perform machine learning using Python on numerical data and image data. By the time you are finished reading this post, you will be able to get your start in machine learning. To launch your machine learning […]

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Multi-class SVM Loss

A couple weeks ago,we discussed the concepts of both linear classification and parameterized learning. This type of learning allows us to take a set of input data and class labels, and actually learn a function that maps the input to the output predictions, simply by defining a set of parameters and optimizing over them. Our linear classification tutorial focused […]

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An intro to linear classification with Python

Over the past few weeks, we’ve started to learn more and more about machine learning and the role it plays in computer vision, image classification, and deep learning. We’ve seen how Convolutional Neural Networks (CNNs) such as LetNet can be used to classify handwritten digits from the MNIST dataset. We’ve applied the k-NN algorithm to classify whether or […]

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HOG detectMultiScale parameters explained

Last week we discussed how to use OpenCV and Python to perform pedestrian detection. To accomplish this, we leveraged the built-in HOG + Linear SVM detector that OpenCV ships with, allowing us to detect people in images. However, one aspect of the HOG person detector we did not discuss in detail is the detectMultiScale  function; specifically, […]

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Pedestrian Detection OpenCV

I’ve met a lot of amazing, uplifting people over the years. My PhD advisor who helped get me through graduate school. My father who was always there for me as a kid — and still is now. And my girlfriend who has always been positive, helpful, and supportive (even when I probably didn’t deserve it). I’ve also […]

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Histogram of Oriented Gradients and Object Detection

If you’ve been paying attention to my Twitter account lately, you’ve probably noticed one or two teasers of what I’ve been working on — a Python framework/package to rapidly construct object detectors using Histogram of Oriented Gradients and Linear Support Vector Machines. Honestly, I really can’t stand using the Haar cascade classifiers provided by OpenCV […]

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