Table of Contents Achieving Optimal Speed and Accuracy in Object Detection (YOLOv4)
Generate arbitrary queries matching your GraphQL schema, and use them to verify your backend implementation.
Detection frameworks have become increasingly fast and accurate, as seen in our last post on YOLOv1; however, most detection methods are still constrained to a small set of objects like 20 classes in PASCAL VOC and 80 classes in Microsoft COCO.
Table of Contents Understanding a Real-Time Object Detection Network: You Only Look Once (YOLOv1)
Table of Contents Text Detection and OCR with Microsoft Cognitive Services Microsoft Cognitive Services for OCR
In this tutorial, you will learn to improve text detection speed with OpenCV and GPUs.
In this tutorial, you will learn how to OCR video streams. This lesson is part 3 of a 4-part series on Optical Character Recognition with Python
In this tutorial, you will: Discover a technique for associating rows and columns together Learn how to detect tables of text/data in an image
In this tutorial, you will learn how to create U-Net, an image segmentation model in TensorFlow 2 / Keras. We will first present a brief introduction on image segmentation, U-Net architecture, and then walk through the code implementation with a Colab notebook.
In this tutorial, you will learn to use image super resolution. This lesson is part of a 3-part series on Super Resolution: OpenCV Super Resolution with Deep Learning Image Super Resolution (this tutorial) Pixel Shuffle Super Resolution with TensorFlow, Kera
Стартовая статья по серии примеров работы с Django Rest Framework. В данной статье показан пример настройки получения токена аутентификации, настройка swagger документации, а также имеется пример кода на QML/Felgo для получения токена в мобильном приложении.
Kubernetes is a tool to manage containers. This type of management is called orchestration because it does more than just manage the containers such as it will scale up and scale down resources as needed (among many other things). Since Kubernetes is a massive tool, we're going to be covering a practical implementation using a Docker-based Django application.