Human pose estimation using Deep Learning in OpenCV
I recently came across a very interesting use-case of computer vision and AI. Runners Need is a UK based sports shoe brand. They offer automated gait analysis using computer vision before they sell you a customized shoe. Gait analysis is a method for identifying biomechanical abnormalities in the way in which you walk or run. A video […]
Continue ReadingIntroduction to Generative Adversarial Network
Artificial Intelligence has improved quite a lot in the last decade. By improvement I mean we’re able to do things better than before as well as we can now do things that we didn’t even imagine, but now we and machines both can imagine. What ! machines can imagine ? Yes you heard it right ! […]
Continue ReadingGetting started with Recurrent Neural Networks
In some previous tutorials, we learned how to build image classifiers using convolutional neural networks or build object detectors using CNNs. In both examples, all the information required to identify the dog or cat is present in the image. However, there are many use-cases where the current prediction not only depends on the current input […]
Continue ReadingEfficientNets: The Free lunch of 2019 for convolutional neural networks
Neural network architecture design is one of the key hyperparameters in solving problems using deep learning and computer vision. Various neural networks are compared on two key factors i.e. accuracy and computational requirement. In general, as we aim to design more accurate neural networks, the computational requirement increases. The term ‘Efficient’ in Efficient Net strongly […]
Continue ReadingReal time deep learning based face detection with MTCNN
Today, we are going to use deep learning to detect faces in images and videos using Tensorflow. You guys might have seen a lot of demos of face detection online. Most of these demos or projects are built using Haar cascade in OpenCV. Haar cascades have a lot of issues when applied to real-world videos. They […]
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