Developing mobile computer vision apps with D2Go

This section introduces D2Go, the steps to use existing D2Go models or train custom D2G models, and the model quantization.

Introduction to D2Go

Exporting Detectron2 models to TorchScript or ONNX formats may serve the purpose of deploying into the server, web, and browser environments. However, deploying Detectron2 models into mobile or edge devices may require further optimizations. Therefore, Facebook AI Research also developed D2Go, which supports training computer vision applications ready to be deployed into mobile and edge devices.

Specifically, it is a deep learning model developed on top of Detectron2 and PyTorch. Similar to Detectron2, it also contains advanced and efficient backbone neural networks that support deployments for mobile and edge devices. It provides tools and techniques for training, quantization, and deployment into mobile and edge devices. It also supports exporting to TorchScript format for deployment...