D2go Save

D2Go is a toolkit for efficient deep learning

Project README

D2Go

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

What's D2Go

  • 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.

Installation

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 .

Get Started

License

D2Go is released under the Apache 2.0 license.

Open Source Agenda is not affiliated with "D2go" Project. README Source: facebookresearch/d2go
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