littlefish/imageutil.py
def resize_crop_image(image, dest_w, dest_h, pad_when_tall=False):
    """
    :param image: PIL.Image
    :param dest_w: Target width
    :param dest_h: Target height
    :return: Scaled and cropped image
    """

    # Now we need to resize it
    dest_w = float(dest_w)
    dest_h = float(dest_h)
    dest_ratio = dest_w / dest_h

    # Calculate the apect ratio of the image
    src_w = float(image.size[0])
    src_h = float(image.size[1])
    src_ratio = src_w / src_h

    if src_ratio < dest_ratio:
        # Image is tall and thin - we need to scale to the right width and then crop
        scale = dest_w / src_w
        scaled_w = dest_w
        scaled_h = src_h * scale

        # Cropping values
        left = 0
        right = dest_w
        top = (scaled_h - dest_h) / 2.0
        bottom = top + dest_h
    else:
        # Image is short and wide - we need to scale to the right height and then crop
        scale = dest_h / src_h
        scaled_h = dest_h
        scaled_w = src_w * scale

        # Cropping values
        left = (scaled_w - dest_w) / 2.0
        right = left + dest_w
        top = 0
        bottom = dest_h

    if pad_when_tall:
        # Now, for images that are really tall and thin, we start to have issues as we only show a small section of them
        # (i.e. nasonex).  To deal with this we will resize and pad in this situation
        if (bottom - top) < (scaled_h * 0.66):
            log.info('Image would crop too much - returning padded image instead')
            return resize_pad_image(image, dest_w, dest_h)

    if src_w > dest_w or src_h > dest_h:
        # This means we are shrinking the image which is ok!
        scaled_image = image.resize((int(scaled_w), int(scaled_h)), PIL.Image.ANTIALIAS)
        cropped_image = scaled_image.crop((int(left), int(top), int(right), int(bottom)))

        return cropped_image

    elif scaled_w < src_w or scaled_h < src_h:
        # Just crop is as we don't want to stretch the image
        cropped_image = image.crop((int(left), int(top), int(right), int(bottom)))

        return cropped_image

    else:
        return image
def resize_crop_image(image, dest_w, dest_h, pad_when_tall=False):
    """
    :param image: PIL.Image
    :param dest_w: Target width
    :param dest_h: Target height
    :return: Scaled and cropped image
    """

    # Now we need to resize it
    dest_w = float(dest_w)
    dest_h = float(dest_h)
    dest_ratio = dest_w / dest_h

    # Calculate the apect ratio of the image
    src_w = float(image.size[0])
    src_h = float(image.size[1])
    src_ratio = src_w / src_h

    if src_ratio < dest_ratio:
        # Image is tall and thin - we need to scale to the right width and then crop
        scale = dest_w / src_w
        scaled_w = dest_w
        scaled_h = src_h * scale

        # Cropping values
        left = 0
        right = dest_w
        top = (scaled_h - dest_h) / 2.0
        bottom = top + dest_h
    else:
        # Image is short and wide - we need to scale to the right height and then crop
        scale = dest_h / src_h
        scaled_h = dest_h
        scaled_w = src_w * scale

        # Cropping values
        left = (scaled_w - dest_w) / 2.0
        right = left + dest_w
        top = 0
        bottom = dest_h

    if pad_when_tall:
        # Now, for images that are really tall and thin, we start to have issues as we only show a small section of them
        # (i.e. nasonex).  To deal with this we will resize and pad in this situation
        if (bottom - top) < (scaled_h * 0.66):
            log.info('Image would crop too much - returning padded image instead')
            return resize_pad_image(image, dest_w, dest_h)

    if src_w > dest_w or src_h > dest_h:
        # This means we are shrinking the image which is ok!
        scaled_image = image.resize((int(scaled_w), int(scaled_h)), PIL.Image.ANTIALIAS)
        cropped_image = scaled_image.crop((int(left), int(top), int(right), int(bottom)))

        return cropped_image

    elif scaled_w < src_w or scaled_h < src_h:
        # Just crop is as we don't want to stretch the image
        cropped_image = image.crop((int(left), int(top), int(right), int(bottom)))

        return cropped_image

    else:
        return image
:param image: PIL.Image
    :param dest_w: Target width
    :param dest_h: Target height
    :return: Scaled and cropped image