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        "description": ".. image:: https://travis-ci.com/vaipatel/morphops.svg?branch=master\n    :target: https://travis-ci.com/vaipatel/morphops\n\nWelcome to Morphops!\n====================\n\nMorphops implements common operations and algorithms for geometric\nmorphometrics, in python 3.\n\nSome high-level operations in the current version are\n\n* Centering, rescaling data\n* Rigid Rotation, Ordinary and Generalized Procrustes alignment\n* Thin-plate spline warping\n* Reading from and writing to \\*.dta files\n\nDependencies\n------------\n\n* numpy\n\nInstallation\n------------\n\n:code:`pip install morphops`\n\nUsage Examples\n--------------\n\n.. code-block:: python\n\n   import morphops as mops\n   # Create 3 landmark sets, each having 5 landmarks in 2 dimensions.\n   A = [[0,0],[2,0],[2,2],[1,3],[0,2]]\n   B = [[0.1,-0.1],[2,0],[2.3,1.8],[1,3],[0.4,2]]\n   C = [[-0.1,-0.1],[2.1,0],[2,1.8],[0.9,3.1],[-0.4,2.1]]\n\n   # Perform Generalized Procrustes alignment to align A, B, C.\n   # :func:`gpa` is in the procrustes module.\n   res = mops.gpa([A,B,C])\n\n   # res['aligned'] contains the aligned A, B, C.\n   # res['mean'] contains the mean of the aligned A, B, C.\n\n   # Create a Thin-plate Spline warp from A to B and warp C.\n   warped_C = mops.tps_warp(A, B, C)\n   # warped_C contains the image of the pts in C under the TPS warp.\n\n\n",
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