def read_window(self,
region,
out_width,
out_height,
c: Optional[Union[int, List[int]]] = None,
**other):
tier = self.format.pyramid.most_appropriate_tier(
region, (out_width, out_height))
region = region.scale_to_tier(tier)
page = tier.data.get('page_index')
tiff_page = VIPSImage.jp2kload(str(self.format.path), page=page)
im = tiff_page.extract_area(region.left, region.top, region.width,
region.height)
return self._extract_channels(im, c)
def read_tile(self,
tile,
c: Optional[Union[int, List[int]]] = None,
**other):
tier = tile.tier
page = tier.data.get('page_index')
tiff_page = VIPSImage.jp2kload(str(self.format.path), page=page)
# There is no direct access to underlying tiles in vips
# But the following computation match vips implementation so that only the tile
# that has to be read is read.
# https://github.com/jcupitt/tilesrv/blob/master/tilesrv.c#L461
# TODO: is direct tile access significantly faster ?
im = tiff_page.extract_area(tile.left, tile.top, tile.width,
tile.height)
return self._extract_channels(im, c)
