from morpheus.classifier import Classifier from morpheus.data import example h, j, v, z = example. Pixel level morphological classifications. catalog_from_classified ( classified, h, segmap ) Colorized ClassificationsĪ colorized classification is a way of making a single image to interpret the segmap_from_classified ( classified, h ) catalog = Classifier. classify ( h = h, j = j, v = v, z = z ) segmap = Classifier. The catalog returned is a JSON compatible list of morphologicalĬlassifications for each source in the segmap. Background should be set to 0 and excluded regions should beĪssigned -1. Pixels that are associated with a source. It should assign pixels values greater than 0 for all The segmentation map doesn’t have to be generated by Morpheus, but it To create a catalog using Morpheus, you need to provide the output from theĬlassify function, the flux in a single band (we use H), and a segmentation segmap_from_classified ( classified, h ) Catalog For more information see segmap from morpheus.classifier import Classifier from morpheus.data import example h, j, v, z = example. To create a segmentation map using Morpheus, you need to provide the outputįrom the classify function and a single flux band.
Make colorized version of the morphological classifications The classify function returns a dictionary where the keys indicate the outputįor example spheroid, and the value is the corresponding numpy ndarray.
classify ( h = h, j = j, v = v, z = z ) 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.
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