D2Go is a production ready software system from FacebookResearch, which supports end-to-end model training and deployment for mobile platforms.

• It is a deep learning toolkit powered by PyTorch and Detectron2.
• State-of-the-art efficient backbone networks for mobile devices.
• End-to-end model training, quantization and deployment pipeline.
• Easy export to TorchScript format for deployment.

Install PyTorch Nightly (use CUDA 10.2 as example, see details at PyTorch Website):

conda install pytorch torchvision cudatoolkit=10.2 -c pytorch-nightly

Install Detectron2 (other installation options at Detectron2):

python -m pip install 'git+https://github.com/facebookresearch/detectron2.git'

Install mobile_cv:

python -m pip install 'git+https://github.com/facebookresearch/mobile-vision.git'

Install d2go:

git clone https://github.com/facebookresearch/d2go
cd d2go & python -m pip install .

• Getting Started with D2Go.

• See our model zoo for example configs and pretrained models.

D2Go is released under the Apache 2.0 license.