dataset_info = dict( dataset_name='zebra', paper_info=dict( author='Graving, Jacob M and Chae, Daniel and Naik, Hemal and ' 'Li, Liang and Koger, Benjamin and Costelloe, Blair R and ' 'Couzin, Iain D', title='DeepPoseKit, a software toolkit for fast and robust ' 'animal pose estimation using deep learning', container='Elife', year='2019', homepage='https://github.com/jgraving/DeepPoseKit-Data', ), keypoint_info={ 0: dict(name='snout', id=0, color=[255, 255, 255], type='', swap=''), 1: dict(name='head', id=1, color=[255, 255, 255], type='', swap=''), 2: dict(name='neck', id=2, color=[255, 255, 255], type='', swap=''), 3: dict( name='forelegL1', id=3, color=[255, 255, 255], type='', swap='forelegR1'), 4: dict( name='forelegR1', id=4, color=[255, 255, 255], type='', swap='forelegL1'), 5: dict( name='hindlegL1', id=5, color=[255, 255, 255], type='', swap='hindlegR1'), 6: dict( name='hindlegR1', id=6, color=[255, 255, 255], type='', swap='hindlegL1'), 7: dict(name='tailbase', id=7, color=[255, 255, 255], type='', swap=''), 8: dict(name='tailtip', id=8, color=[255, 255, 255], type='', swap='') }, skeleton_info={ 0: dict(link=('head', 'snout'), id=0, color=[255, 255, 255]), 1: dict(link=('neck', 'head'), id=1, color=[255, 255, 255]), 2: dict(link=('forelegL1', 'neck'), id=2, color=[255, 255, 255]), 3: dict(link=('forelegR1', 'neck'), id=3, color=[255, 255, 255]), 4: dict(link=('hindlegL1', 'tailbase'), id=4, color=[255, 255, 255]), 5: dict(link=('hindlegR1', 'tailbase'), id=5, color=[255, 255, 255]), 6: dict(link=('tailbase', 'neck'), id=6, color=[255, 255, 255]), 7: dict(link=('tailtip', 'tailbase'), id=7, color=[255, 255, 255]) }, joint_weights=[1.] * 9, sigmas=[])