329 - What is Detectron2? An introduction.

This video provides an introduction to Detectron2 in python using pre-trained models for instance and panoptic segmentation. Code generated in the video can be downloaded from here: https://github.com/bnsreenu/python_fo... All other code: https://github.com/bnsreenu/python_fo... Detectron2 repo: https://github.com/facebookresearch/d... What is Detectron2? An open-source object detection and segmentation framework developed by Facebook AI Research.​ Built on top of PyTorch and provides a unified API for a variety of tasks, including object detection, instance segmentation, and panoptic segmentation.​ Designed to be flexible and easy-to-use, it puts a focus on enabling rapid research.​ It includes high-quality implementations of state-of-the-art algorithms like Mask R-CNN, RetinaNet, and DensePose.​ It includes a Model Zoo with models for object detection, instance segmentation, and more. ​