Deep Learning - SG segmentation/FCN-DenseNet inference/libs/ConcaveHull - ars.py
def GetFirstPoint(dataset):
    ''' Returns index of first point, which has the lowest y value '''
    # todo: what if there is more than one point with lowest y?
    imin = np.argmin(dataset[:,1])
    return dataset[imin]
 Returns index of first point, which has the lowest y value 
Returns index of first point, which has the lowest y value
Returns index of first point which has the lowest y value
def GetFirstPoint(dataset):
    imin = np.argmin(dataset[:,1])
    return dataset[imin]
def GetFirstPoint ( dataset ) : imin = np . argmin ( dataset [ : , 1 ] ) return dataset [ imin ]
Returns index of first point, which has the lowest y value
Returns index of first point which has the lowest y value
''' Returns index of first point, which has the lowest y value ''' # todo: what if there is more than one point with lowest y?
dataset