7b52dc0c4647e66a3653f3d6c974c1dc1f7fde53,keras_retinanet/utils/image.py,,apply_transform,#Any#Any#Any#,107

Before Change

def apply_transform(transform, image, params):
     Wrapper around keras.preprocessing.image.apply_transform using TransformParameters. 
    return keras.preprocessing.image.apply_transform(
        image,
        transform,
        channel_axis = params.channel_axis,
        fill_mode    = params.fill_mode,
        cval         = params.cval
    )


def resize_image(img, min_side=600, max_side=1024):
    (rows, cols, _) = img.shape

After Change

    // Merge the channels back into an image.
    image = np.stack(channels, axis=0)
    image = np.moveaxis(image, 0, params.channel_axis)
    return image


def resize_image(img, min_side=600, max_side=1024):
    (rows, cols, _) = img.shape

Instances