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Вышло минорное обновление пакета django-ninja - пакета генерации документации API
- Алиасы полей теперь поддерживают точечный синтаксис переменных шаблона django; - Улучшена работа с пагинацией; - Добавлена поддержка типа Union в payload запроса. - Добавленна команда для выгрузки OpenAPI схемы в файл. - Теперь вы можете получить доступ к атрибутам экземпляра формы внутри схемы с помощью преобразователей
In this tutorial, you will learn the concept behind Fully Convolutional Networks (FCNs) for segmentation. In addition, we will see how we can use Torch Hub to import a pre-trained FCN model and use it in our projects to get… The post Torch Hub Series #6: Image Segmentation appeared first on PyImageSearch.
In this tutorial, you will learn the architectural details of Progressive GAN, which enable it to generate high-resolution images. In addition, we will see how we can use Torch Hub to import a pre-trained PGAN model and use it in our projects to generate high-quality images.
In the previous tutorial, we learned the essence behind Torch Hub and its conception. Then, we published our model using the intricacies of Torch Hub and accessed it through the same. But, what happens when our work requires us to… The post Torch Hub Series #2: VGG and ResNet appeared first on PyImageSearch.
In this tutorial, you will learn the basics of PyTorch’s Torch Hub.
QThreadPool.start() provides a simpler API for running Python functions using Qt's threadpool.
Adds database query retry functionality to the Django ORM in case of network issues / deadlocks.
From this release, due to performance improvements, it is actually possible to use CLI to test huge schemas (a few thousand endpoints) without OOM or waiting a few minutes for tests to start.
In this tutorial, you will learn how to train a custom object detector from scratch using PyTorch. This lesson is part 2 of a 3-part series on advanced PyTorch techniques: Training a DCGAN in PyTorch (last week’s tutorial)