Category: Machine Learning

Data augmentation is a technique used to increase the diversity of data available for training models. Until recently, managing both mask and bounding box augmentations simultaneously with the same parameters was challenging in torchvision. Starting with v0.15 torchvision added more streamlined and flexible augmentation capabilities that are easier to use and more consistent with the…

Take a closer look at the step-by-step breakdown of Mask R-CNN to make it easier to understand how it works. This guide will help you navigate its implementation in torchvision, making the complex process more accessible and straightforward.

Develop locally, run on remote machine. Easy! We will show how to go a step beyond, and develop, run, debug, on a docker, inside that remote machine, while using your favorite JetBrains IDE, PyCharm! Professional edition, but no problem if you are still in academia!