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Augmented Reality using ArUco Markers in OpenCV (C++ / Python)

Sunita Nayak
March 21, 2020 Leave a Comment
Application Camera Calibration Computer Vision Stories how-to Tools Tutorial

March 21, 2020 By Leave a Comment

Augmented reality with ArUco markers in OpenCV

In this post, we will explain what ArUco markers are and how to use them for simple augmented reality tasks using OpenCV. ArUco markers have been used for a while in augmented reality, camera pose ...

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Tags: aruco marker augmented reality C++ OpenCV Python
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Filed Under: Application, Camera Calibration, Computer Vision Stories, how-to, Tools, Tutorial

Faster R-CNN Object Detection with PyTorch

Shangeth Rajaa
Satya Mallick
June 18, 2019 Leave a Comment
Computer Vision Stories Courses Deep Learning Feature Detection Machine Learning Object Detection OpenCV 3 Pose PyTorch Segmentation Tracking Tutorial Uncategorized

June 18, 2019 By Leave a Comment

In this post, we will cover Faster R-CNN object detection with PyTorch. We will learn the evolution of object detection from R-CNN to Fast R-CNN to Faster R-CNN. This post is part of our PyTorch for ...

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Tags: artificial intelligence Computer Vision deep learning Object Detection Python PyTorch
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Filed Under: Computer Vision Stories, Courses, Deep Learning, Feature Detection, Machine Learning, Object Detection, OpenCV 3, Pose, PyTorch, Segmentation, Tracking, Tutorial, Uncategorized

PyTorch for Beginners: Semantic Segmentation using torchvision

Arunava Chakraborty
June 5, 2019 Leave a Comment
Deep Learning Image Processing Machine Learning PyTorch Segmentation Tutorial

June 5, 2019 By Leave a Comment

Feature Image

This post is part of the series in which we are going to cover the following topics. 1. What is Semantic Segmentation? Semantic Segmentation is an image analysis procedure in which we classify each ...

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Tags: artificial intelligence Computer Vision deep learning DeepLab v3 Fully Convolutional Network (FCN) Machine Learning Python PyTorch semantic segmentation
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Filed Under: Deep Learning, Image Processing, Machine Learning, PyTorch, Segmentation, Tutorial

Image Classification using Transfer Learning in PyTorch

Sunita Nayak
May 20, 2019 Leave a Comment
Application Computer Vision Stories Deep Learning how-to Image Classification Machine Learning PyTorch Tutorial

May 20, 2019 By Leave a Comment

Image Classification Using Transfer Learning in PyTorch

Recently PyTorch has gained a lot of popularity because of its ease of usage and learning. Andrej Karpathy, Senior Director of AI at Tesla, said the following in his tweet. Jokes apart, PyTorch is ...

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Tags: AI Computer Vision deep learning Machine Learning Python PyTorch
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Filed Under: Application, Computer Vision Stories, Deep Learning, how-to, Image Classification, Machine Learning, PyTorch, Tutorial

Duplicate Search on Quora Dataset

Vishwesh Shrimali
December 12, 2018 Leave a Comment
Application Deep Learning Tutorial

December 12, 2018 By Leave a Comment

A few weeks back we published a post about Universal Sentence Encoders. We discussed how to use the encoders and their application in Semantic Similarity Analysis. In this post, we will use the ...

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Tags: deep learning Encoder Kaggle NLP Python Quora TensorflowHub
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Filed Under: Application, Deep Learning, Tutorial

Universal Sentence Encoder

Vishwesh Shrimali
November 19, 2018 9 Comments
Application Deep Learning Tutorial

November 19, 2018 By 9 Comments

There are three important parts of Artificial Intelligence Natural Language Processing Speech Computer Vision This post falls in the first category. In this post, we will ...

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Tags: deep learning Natural Language Processing Python Sentence Encoder Tensorflow Universal Sentence Encoder
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Filed Under: Application, Deep Learning, Tutorial

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About

I am an entrepreneur with a love for Computer Vision and Machine Learning with a dozen years of experience (and a Ph.D.) in the field.

In 2007, right after finishing my Ph.D., I co-founded TAAZ Inc. with my advisor Dr. David Kriegman and Kevin Barnes. The scalability, and robustness of our computer vision and machine learning algorithms have been put to rigorous test by more than 100M users who have tried our products. Read More…

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