To install the correct metaflow version run: pip install 'git+' awscli To use the CLI part of the package metaflow (with the argo plugin) and awscli are needed. Installation of metaflow with Argo Support To install this package from pypi run: pip install sap-computer-vision-package , except that setup_without_centaur.py is used instead of setup.py.
To include local code changes to the installation run: python setup_with_centaur.py develop The binary is only needed in the docker images to serve models. It skips the process of building the model serving binary locally, which only works on linux systems.
When building from source normally setup_without_centaur.py is the suitable setup file. Details can be found in the detectron2 installation guide. Make sure to select the url matching your torch version and cuda when GPU support is needed. On MacOS follwing commands can be used to install both: pip install torch=1.10 torchvisionįor linux pre-builds of detectron2 are available: pip install torch=1.10 torchvision The package is tested with detectron2=0.6. Please check the detectron2 installation guide to select the proper version. After the installation of PyTorch the matching version of detectron2 has to be installed.
#INSTALL OBJECT PUSH PROFILE FOR MAC HOW TO#
Details on how to install PyTroch can be found here. Model Training and Deployment on SAP AI Coreīefore installation, make sure that PyTorch and detectron2 are installed.Additionally it offers an CLI to create SAP AI Core template for training and serving. This package extends detectron2 and among other things it adds image classification and feature extraction functionalities.
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