def example1():
    """ Example 1: Applying transformation one-by-one is very SLOW ! """
    st = time.time()
    for _ in range(100):  # Try 100 times and compute the averaged speed
        xx = tl.prepro.rotation(image, rg=-20, is_random=False)
        xx = tl.prepro.flip_axis(xx, axis=1, is_random=False)
        xx = tl.prepro.shear2(xx, shear=(0., -0.2), is_random=False)
        xx = tl.prepro.zoom(xx, zoom_range=1 / 0.8)
        xx = tl.prepro.shift(xx, wrg=-0.1, hrg=0, is_random=False)
    print("apply transforms one-by-one took %fs for each image" % ((time.time() - st) / 100))
    tl.vis.save_image(xx, '_result_slow.png')
def example1():
    """ Example 1: Applying transformation one-by-one is very SLOW ! """
    st = time.time()
    for _ in range(100):  # Try 100 times and compute the averaged speed
        xx = tl.prepro.rotation(image, rg=-20, is_random=False)
        xx = tl.prepro.flip_axis(xx, axis=1, is_random=False)
        xx = tl.prepro.shear2(xx, shear=(0., -0.2), is_random=False)
        xx = tl.prepro.zoom(xx, zoom_range=1 / 0.8)
        xx = tl.prepro.shift(xx, wrg=-0.1, hrg=0, is_random=False)
    print("apply transforms one-by-one took %fs for each image" % ((time.time() - st) / 100))
    tl.vis.save_image(xx, '_result_slow.png')
def example1 ( ) : st = time . time ( ) for _ in range ( 100 ) : # Try 100 times and compute the averaged speed xx = tl . prepro . rotation ( image , rg = - 20 , is_random = False ) xx = tl . prepro . flip_axis ( xx , axis = 1 , is_random = False ) xx = tl . prepro . shear2 ( xx , shear = ( 0. , - 0.2 ) , is_random = False ) xx = tl . prepro . zoom ( xx , zoom_range = 1 / 0.8 ) xx = tl . prepro . shift ( xx , wrg = - 0.1 , hrg = 0 , is_random = False ) print ( "apply transforms one-by-one took %fs for each image" % ( ( time . time ( ) - st ) / 100 ) ) tl . vis . save_image ( xx , '_result_slow.png' )
Example 1: Applying transformation one-by-one is very SLOW !
Example 1 : Applying transformation one - by - one is very SLOW !