def example2():
    """ Example 2: Applying all transforms in one is very FAST ! """
    st = time.time()
    for _ in range(100):  # Repeat 100 times and compute the averaged speed
        transform_matrix = create_transformation_matrix()
        result = tl.prepro.affine_transform_cv2(image, transform_matrix)  # Transform the image using a single operation
    print("apply all transforms once took %fs for each image" % ((time.time() - st) / 100))  # usually 50x faster
    tl.vis.save_image(result, '_result_fast.png')
def example2():
    """ Example 2: Applying all transforms in one is very FAST ! """
    st = time.time()
    for _ in range(100):  # Repeat 100 times and compute the averaged speed
        transform_matrix = create_transformation_matrix()
        result = tl.prepro.affine_transform_cv2(image, transform_matrix)  # Transform the image using a single operation
    print("apply all transforms once took %fs for each image" % ((time.time() - st) / 100))  # usually 50x faster
    tl.vis.save_image(result, '_result_fast.png')
def example2 ( ) : st = time . time ( ) for _ in range ( 100 ) : # Repeat 100 times and compute the averaged speed transform_matrix = create_transformation_matrix ( ) result = tl . prepro . affine_transform_cv2 ( image , transform_matrix ) # Transform the image using a single operation print ( "apply all transforms once took %fs for each image" % ( ( time . time ( ) - st ) / 100 ) ) # usually 50x faster tl . vis . save_image ( result , '_result_fast.png' )
Example 2: Applying all transforms in one is very FAST !
Example 2 : Applying all transforms in one is very FAST !