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classify ( h = h, j = j, v = v, z = z ) from morpheus.classifier import Classifier from morpheus.data import example h, j, v, z = example. To perform a pixel-level morphological classification, the image needs to be The class is the interface to the various functionalities of There are two ways to use morpheus on images: the python API and the command Of TensorFlow and cpu for the standard CPU implementation of TensorFlow.įor GPU support: docker run -runtime =nvidia -it morpheusastro/morpheus:lastest-gpuįor CPU only: docker run -it morpheusastro/morpheus:latest-cpu Usage Morpheus has two main flavors of Docker Image: gpu for the GPU enabled version For more information on installing TensorFlow visit the To support the GPU accelerated version of TensorFlow, which has a different

To install TensorFlow before you install Morpheus. TensorFlow is not listed in the dependencies for the package.

Morpheus is implemented using TensorFlow.

Segmentation maps or to inform other photometric measurements with granular Morpheus is a neural network model used to generate pixel-level morphologicalĬlassifications for astronomical sources.