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RAFT: Optical Flow estimation using Deep Learning

January 21, 2021 By Leave a Comment

raft optical flow feature image

In this post, we will discuss about two Deep Learning based approaches for motion estimation using Optical Flow. FlowNet is the first CNN approach for calculating Optical Flow and RAFT which is the ...

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Filed Under: Deep Learning, Paper Overview, PyTorch, Video Analysis

Depth Estimation using Stereo matching

December 21, 2020 By Leave a Comment

stereo_matching_frontal_image

Depth estimation is a critical task for autonomous driving. It's necessary to estimate the distance to cars, pedestrians, bicycles, animals, and obstacles.The popular way to estimate depth is LiDAR. ...

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Filed Under: Deep Learning, Paper Overview, PyTorch, Theory

Classification with Localization: Convert any Keras Classifier to a Detector

December 14, 2020 By Leave a Comment

Image classification is used to solve several Computer Vision problems; right from medical diagnoses, to surveillance systems, on to monitoring agricultural farms.  There are innumerable ...

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Filed Under: Deep Learning, Image Classification, Keras, Object Detection, Tensorflow

Image Classification with OpenCV for Android

November 16, 2020 By Leave a Comment

In the previous post, we've learned how to work with OpenCV Java API with the example of a PyTorch convolutional neural network, integrated into the Java pipeline. Now we are going to transform the ...

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Filed Under: Android, Application, Deep Learning, how-to, Image Classification, Java, OpenCV 4, PyTorch

Image Classification with OpenCV Java

November 4, 2020 By Leave a Comment

OpenCV library is widely used due to its extensive coverage of the computer vision tasks, and availability to involve it in various projects, including deep learning. Usually, OpenCV is used with C++ ...

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Filed Under: Deep Learning, Image Classification, Java, OpenCV 4, PyTorch, Tutorial

PyTorch to Tensorflow Model Conversion

October 26, 2020 By Leave a Comment

In this post, we will learn how to convert a PyTorch model to TensorFlow. If you are new to Deep Learning you may be overwhelmed by which framework to use. We personally think PyTorch is the first ...

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Filed Under: Deep Learning, how-to, Image Classification, PyTorch, Tensorflow

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GETTING STARTED

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