IntroductionAI specific features in recent NVIDIA GPUs2.1 Pascal microarchitecture (2016)2.2 Volta microarchitecture (2018)2.3 Turing microarchitecture (Late 2018)2.4 Ampere microarchitecture ...
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Demystifying GPU Architectures For Deep Learning – Part 1
IntroductionCUDA programming model2.1 What is CUDA?2.2 Introduction to some important CUDA conceptsImplementing a dense layer in CUDASummary 1. Introduction A few months ago, we covered the ...
Object Detection With Depth Measurement Using Pre-trained Models With OAK-D
This is the third blog post in the Oak series. If you haven't checked out the previous posts on OAK, check them below. In this post, we are going to look at how we can run an existing pre-trained ...
Create Snapchat/Instagram Filters Using Mediapipe
Introduction Why invest in make-up or trendy clothes and eyewear when Snapchat and Instagram provide filters that can make you look as wild, exotic, or beautiful as you wish, that too in a matter ...
Building Industrial embedded deep learning inference pipelines with TensorRT
You can scarcely find a good article on deploying computer vision systems in industrial scenarios. So, we decided to write a blog post series on the topic. The topics we will cover in this ...
Human Pose Estimation using Keypoint RCNN in PyTorch
Human Pose Estimation is an important research area in the field of Computer Vision. It deals with estimating unique points on the human body, also called keypoints. In this blog post, we will discuss ...