PyImageSearch

JANUARY 9, 2023

We will discuss the different types of facial recognition approaches and take an in-depth dive into the conceptual details of siamese networks, which make them an integral part of robust facial recognition applications. We will start by loading the Labeled faces in the wild data and prepare for our face recognition application.

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PyImageSearch

JANUARY 2, 2023

Computer Vision and Deep Learning for Oil and Gas Computer Vision and Deep Learning for Transportation Computer Vision and Deep Learning for Logistics Computer Vision and Deep Learning for Healthcare (this tutorial) Computer Vision and Deep Learning for Education To learn about Computer Vision and Deep Learning for Healthcare, just keep reading.

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Flipboard

FEBRUARY 13, 2023

Table of Contents Building a Dataset for Triplet Loss with Keras and TensorFlow Labeled Faces in the Wild Dataset Configuring Your Development Environment Having Problems Configuring Your Development Environment? Specifically, we will build a dataset for training our Siamese network-based recognition model. identification and verification).

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PyImageSearch

APRIL 3, 2023

computer vision) on a daily basis. computer vision) on a daily basis. However, optimizing and deploying those best models onto some edge device allows you to put your deep learning models to actual use in an industry where deployment on edge devices is mandatory and can be a cost-effective solution.

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Unite.AI

JUNE 22, 2023

You taught yourself to program when you were 12, what attracted you to computer science at such an early age, and what were you programming? Like most late 90s kids, I spent hours playing computer games and my parents felt that wasn't the best use of time. I was instantly hooked. We were acquired by Box in 2009.

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PyImageSearch

NOVEMBER 20, 2023

Picking up where we left off, let us revise what we learned in Part 1. Tools and Methodologies for Studying Causal Effects Welcome back to Part 3 of the 5-part series on Causality in Machine Learning. The previous one was all about introducing Causality in the briefest way possible. You can find it right here. What do I mean by that?

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Marktechpost

JUNE 4, 2023

Here are some of the best password managers to use Bitwarden If you’re looking for a premium password manager that checks all the boxes regarding security, usability, transparency, cost, and convenience, then Bitwarden is a great option. For various reasons, Bitwarden is our top pick for password management.

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Flipboard

MARCH 27, 2023

It has provided some of the best abstractions for distributed training, data loading, and automatic differentiation. However, over all these years, hardware accelerators like GPUs have become 15x and 2x faster in compute and memory access, respectively. torch.compile torch.compile Definition Accelerating DNNs with PyTorch 2.0

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PyImageSearch

OCTOBER 2, 2023

Why Does the Encoder of a VAE Follow a Gaussian Distribution? Objective Functions of VAE Reparameterization Trick Configuring Your Development Environment Need Help Configuring Your Development Environment? Using the renowned Fashion-MNIST dataset, we’ll guide you through understanding its nuances. Let’s get started!

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PyImageSearch

OCTOBER 23, 2023

Home Table of Contents Generating Faces Using Variational Autoencoders with PyTorch Configuring Your Development Environment Need Help Configuring Your Development Environment? Our journey begins with training a VAE on this dataset, setting the stage for a series of captivating experiments. Let’s dive in!

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PyImageSearch

JULY 3, 2023

In this blog post, we will dive deeper into the Netflix movies and series recommendation systems ( Figure 1 ). The Internet has revolutionized how we consume television through Over-the-Top (OTT) content streaming platforms like Netflix, Amazon Prime, Disney, HBO, etc. Therefore, everything you see on Netflix is a recommendation.

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Marktechpost

JULY 17, 2023

The study of how well computers can recognize speech or make decisions, for example, falls under the umbrella of the field of artificial intelligence, which is a branch of computer science. AI picks up knowledge by acquiring it, then applies it to new judgments. Through practice, machines pick up information or skills (or data).

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Marktechpost

AUGUST 15, 2023

Here are some of the best AI-based tools for music production: MAGENTA STUDIO (V1.0) It’s a collection of music production utilities that works on Windows and Mac computers and as a plugin for Ableton Live. Google has released a free AI music creator called Magenta Studio.

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PyImageSearch

JANUARY 15, 2024

It provides a simple, easy-to-use API that seamlessly integrates with any computer vision project workflow and enables us to train better and more robust networks. Looking for the source code to this post? Let us try to understand in detail how the NSL framework works.

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PyImageSearch

JUNE 12, 2023

Home Table of Contents DETR Breakdown Part 2: Methodologies and Algorithms The DETR Model ?️ Object Detection Set Prediction Loss ? Optimal Bipartite Matching ? Optimal Bipartite Matching for Objects ? Optimize Object Specific Losses ? Quiz Time! ? Looking for the source code to this post? The DETR Model ?️ Therefore, Carion et al.

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PyImageSearch

NOVEMBER 6, 2023

Home Table of Contents Image Segmentation with U-Net in PyTorch: The Grand Finale of the Autoencoder Series Introduction U-Net Framework Configuring Your Development Environment Need Help Configuring Your Development Environment? Let’s embark on this grand finale together! Let’s embark on this grand finale together!

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PyImageSearch

SEPTEMBER 18, 2023

SAM and CLIP Integration As we briefly discussed in the previous tutorial, the CLIP model is a recent foundational model for computer vision that utilizes large-scale web-based image-text data to train strong representations that encode semantic knowledge. Looking for the source code to this post?

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PyImageSearch

JANUARY 8, 2024

Project Structure Creating Adversarial Examples Robustness Toward Adversarial Examples Summary Citation Information Adversarial Learning with Keras and TensorFlow (Part 1): Overview of Adversarial Learning In this tutorial, you will learn about adversarial examples and how they affect the reliability of neural network-based computer vision systems.

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Mlearning.ai

JUNE 5, 2023

A Guide to Computer Vision Tools Hello and welcome to my blog on computer vision tools! In this blog, I will introduce you to some of the most popular and powerful computer vision tools that you can use to unleash your creativity and have fun. Whatever your goal is, there is a tool for you. Let’s get started!

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PyImageSearch

JANUARY 16, 2023

Setting Up Our Project Comparing XGboost and Gradient Boost Results Summary Citation Information Scaling Kaggle Competitions Using XGBoost: Part 3 We continue our journey into understanding XGBoost, but there is one penultimate stop we need to make before deep diving into the nitty gritty of Extreme Gradient Boosting. Each sample is given a weight.

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PyImageSearch

DECEMBER 19, 2022

Given that you followed our first tutorial, you would be well aware of the OAK family and variants like Lite, Pro, and Compute Module (CM), offered with USB and PoE connectivity. We will unravel the magic inside DepthAI API that allows various computer vision and deep learning applications to run on the OAK device.

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PyImageSearch

JANUARY 23, 2023

Table of Contents Scaling Kaggle Competitions Using XGBoost: Part 4 What Is XGBoost? Our Dummy Dataset Breaking Down the Math Configuring Your Development Environment Having Problems Configuring Your Development Environment? If you have stuck with us through the entire journey till now (Great work!), Looking for the source code to this post?

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PyImageSearch

JUNE 5, 2023

And best of all, these Jupyter Notebooks will run on Windows, macOS, and Linux! Specifically, we will train our CycleGAN model using Keras and TensorFlow and also learn how we can use it to perform unpaired image translation on novel unseen images. Looking for the source code to this post? All that said, are you: Short on time?

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PyImageSearch

JULY 17, 2023

Home Table of Contents Implementing a Convolutional Autoencoder with PyTorch Configuring Your Development Environment Need Help Configuring Your Development Environment? We will then explore different testing situations (e.g., If we got a nickel every time a dataset disappeared from the web, we’d have enough to buy a Tesla.

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PyImageSearch

SEPTEMBER 11, 2023

Furthermore, you will learn how SAM can be used for making segmentation predictions in real-time and how you can integrate it with your own computer vision projects. Recent progress toward developing such general-purpose “foundational models” has boomed the machine learning and computer vision community.

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PyImageSearch

MAY 29, 2023

Roboflow provides easy and quick access to many curated computer vision datasets for diverse tasks like Single or Multi-Label Classification, Object Detection, Instance Segmentation etc. Looking for the source code to this post? Looking for the source code to this post? It can be easily found and downloaded from Roboflow.

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PyImageSearch

DECEMBER 26, 2022

The best way to tune the knobs is to use the gradient of the objective function with respect to all the individual knobs as a signal. Having Problems Configuring Your Development Environment? A Neural Network is a mathematical abstraction of our brain (at least, that is how it all started). Having trouble configuring your dev environment?

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Neural Network Computer Vision Deep Learning Python 52

PyImageSearch

DECEMBER 12, 2022

Table of Contents Scaling Kaggle Competitions Using XGBoost: Part 2 AdaBoost The Dataset Sample Weights Choosing the Right Feature Significance of a Stump Calculating the New Sample Weights Moving Forward: The Subsequent Stumps Piecing It Together Configuring Your Development Environment Having Problems Configuring Your Development Environment?

Computer Vision 52

Computer Vision Deep Learning Neural Network Machine Learning 52

Flipboard

AUGUST 21, 2023

Jump Right To The Downloads Section People Counter on OAK Introduction People counting is a cutting-edge application within computer vision, focusing on accurately determining the number of individuals in a particular area or moving in specific directions, such as “entering” or “exiting.” Project Structure What Is a Script Node in DepthAI?

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Computer Vision Neural Network Python Deep Learning 88

Flipboard

APRIL 17, 2023

Training with PyTrees Train the MLP Summary Citation Information Learning JAX in 2023: Part 3 — A Step-by-Step Guide to Training Your First Machine Learning Model with JAX In this tutorial, you will learn how to train your first machine learning model with JAX. Looking for the source code to this post? All that said, are you: Short on time?

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Machine Learning Computer Vision Neural Network Deep Learning 107

PyImageSearch

MARCH 13, 2023

An Introduction to Image Segmentation Image segmentation is a massively popular computer vision task that deals with the pixel-level classification of images. Transformers Ecosystem How to Train an Instance Segmentation Model with MaskFormer? Setup Loading the Dataset About the Dataset Loading a Dataset with ? We will use the ?Transformers

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Computer Vision Deep Learning Neural Network Metadata 117

PyImageSearch

MAY 15, 2023

Jump Right To The Downloads Section Hand Gesture Recognition with YOLOv8 on OAK-D in Near Real-Time Introduction Hand gesture recognition is an emerging field in computer vision focusing on identifying and interpreting human hand gestures using computer vision and deep learning. Looking for the source code to this post?

Computer Vision 102

Computer Vision Neural Network Metadata Deep Learning 102

Unite.AI

AUGUST 1, 2023

These tools use advanced computer vision techniques and deep learning algorithms, such as generative adversarial networks (GANs), to swap the face of one person with another in a photo or video. In this blog post, we'll explore some of the best AI face swap tools available today. Cost efficiency: Free-to-use online application.

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PyImageSearch

JULY 24, 2023

Going Beyond with Keras Core The Power of Keras Core: Expanding Your Deep Learning Horizons Show Me Some Code JAX Harnessing model.fit() Imports and Setup Data Pipeline Build a Custom Model Build the Image Classification Model Train the Model Evaluation Summary References Citation Information What Is Keras Core? What Is Keras Core?

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PyImageSearch

DECEMBER 25, 2023

Home Table of Contents T’is the Time … for GenAI! Google and Generative AI What’s the Buzz? What Is Generative AI? In this tutorial, you will learn how to start with Generative AI Studio inside Google Cloud. To learn how to get started with the Generative AI studio inside Google Cloud Console, just keep reading.

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PyImageSearch

MAY 1, 2023

Jump Right To The Downloads Section Training the YOLOv8 Object Detector for OAK-D Introduction Object detection is one of the most exciting problems in the computer vision domain. And, of course, all of this wouldn’t have been possible without the power of Deep Neural Networks (DNNs) and the massive computation by NVIDIA GPUs.

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