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CNN Receptive Field Computation Using Backprop

March 29, 2020 By Leave a Comment

CNN Receptive Field Using Backpropagation

In the previous post, we learned how to classify arbitrarily sized images and visualized the response map of the network. In Figure 1, notice that the head of the camel is almost not ...

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Filed Under: Deep Learning, how-to, PyTorch, Tutorial

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

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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Filed Under: Application, Camera Calibration, Computer Vision Stories, how-to, Tools, Tutorial

Fully Convolutional Image Classification on Arbitrary Sized Image

March 2, 2020 By Leave a Comment

Fully Convolutional Image Classification

In this post, we will learn how to perform image classification on arbitrary sized images without using the computationally expensive sliding window approach. This post is written for people who ...

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

Ensuring Training Reproducibility in PyTorch

January 28, 2020 By 1 Comment

Ensuring training reproducibility in PyTorch

Imagine you trained a deep learning model on some dataset. A few days later, you want to reproduce the same experiment, but if you were not careful, you may never be able to reproduce the same ...

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

Applications of Foreground-Background separation with Semantic Segmentation

July 23, 2019 By 1 Comment

Applications of foreground-background Separation

In our previous post, we learned what is semantic segmentation and how to use DeepLab v3 in PyTorch to get an RGB mask of the detected labels within an image. Recall that semantic segmentation is ...

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Filed Under: Deep Learning, how-to, PyTorch, Segmentation, Tutorial

EfficientNet: Theory + Code

July 2, 2019 By Leave a Comment

EfficientNet Feature Image

In this post, we will discuss the paper "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks" At the heart of many computer vision tasks like image classification, object ...

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Filed Under: Deep Learning, how-to, Image Classification, Keras, Performance, PyTorch, Tensorflow, Theory, Tutorial

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