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Tag Archives: Opencv

Technical Aspects of a Digital SLR

In this post, we will explain various technical aspects of a DSLR camera. We will explain the focal length, f-stop, depth of field, aperture, shutter speed, ISO setting, image stabilization, and auto exposure bracketing. A digital SLR (or DSLR – Digital, Single, Lens, Reflex) is a digital camera that uses …

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Understanding Autoencoders using Tensorflow (Python)

In this article, we will learn about autoencoders in deep learning. We will show a practical implementation of using a Denoising Autoencoder on the MNIST handwritten digits dataset as an example. In addition, we are sharing an implementation of the idea in Tensorflow. 1. What is an autoencoder? An autoencoder …

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Understanding Feedforward Neural Networks

In this article, we will learn about feedforward Neural Networks, also known as Deep feedforward Networks or Multi-layer Perceptrons. They form the basis of many important Neural Networks being used in the recent times, such as Convolutional Neural Networks ( used extensively in computer vision applications ), Recurrent Neural Networks …

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‘Coca-Cola Can’ Recognition with opencv

coca cola tin in opencv

Language: Done in C++ using OpenCV library. Pre-processing: For the image pre-processing, i.e. transforming the image into a more raw form to give to the algorithm, I used 2 methods: Changing color domain from RGB to HSV and filtering based on “red” hue, saturation above a certain threshold to avoid …

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How to use Opencv with Android

OpenCV is Open sourced computer vision library. It is machine learning software library used for Image processing and computer vision techniques. OpenCV have more than 2500 optimized algorithms for Image Processing. It is mostly used for real time computer vision applications. OpenCV can be used in any platform like C++, …

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HAAR Casade in Opnecv C++ and Python

HAAR is well known and famous face detection algorithm.Haar classifier is effective way for face detection. It is learning based algorithm where a training data is feeded which hundreds of positive and negative images. Initially a big number of positive images (images with face) and negative images (images without face) …

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