Detectron2

Training and Deploying a Custom Detectron2 Model for Object Detection Using PDF Documents (Part 1: Training)Making your machine learn how to see PDFs like a humanI have been trying for the better half of a year to solve a business case by making PDF documents machine readable, at least in the sense that headers/titles (text specifying a section) can be extracted from a document, along with their associated contents, thus forming some semblance of a relational data structure. Initially, I approached this by using a…

GETTING STARTED, DATA AUGMENTATION, DETECTRON2, TUTORIALA step-by-step guide to implementing a new data augmentation method that needs image, mask, and bounding boxes at the same time such as Simple Copy PastePhoto by Sigmund on UnsplashTable of Contents— Introduction— How do data augmentations work in Detectron2?— Implementing Multimodal Augmentations— Usecase 1: Instance Color Jitter Augmentation— Usecase 2: Copy Paste AugmentationDetectron2 is one of the most powerful deep learning toolboxes for visual recognition…

Combine the dataset curation of FiftyOne with the model training of Detectron2 to easily train custom detection modelsImage 71df582bfb39b541 from the Open Images V6 dataset (CC-BY 2.0) visualized in FiftyOneIn recent years, every aspect of the Machine Learning (ML) lifecycle has had tooling developed to make it easier to bring a custom model from an idea to a reality. The most exciting part is that the community has a propensity for open-source tools, like Pytorch and Tensorflow, allowing the model development process to…

GETTING STARTED, DETECTRON2, DEEP LEARNINGCommon steps to know to start a project on top of detectron2 the state-of-the-art detection and segmentation frameworkPhoto by geralt on PixabayDetectron2 is one of the most powerful deep learning toolboxes for visual recognition. It is designed as flexible as possible to easily switch between different tasks such as Object Detection, Instance Segmentation, Person Keypoint Detection, Panoptic Segmentation, etc. It has built-in support for popular datasets COCO, Cityscapes, LVIS,…