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https://github.com/invoke-ai/InvokeAI
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96a717c4ba
Update calc_tiles_even_split() with the same change. Ensuring Overlap is within allowed size Update even_split tests
626 lines
22 KiB
Python
626 lines
22 KiB
Python
import numpy as np
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import pytest
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from invokeai.backend.tiles.tiles import (
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calc_tiles_even_split,
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calc_tiles_min_overlap,
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calc_tiles_with_overlap,
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merge_tiles_with_linear_blending,
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)
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from invokeai.backend.tiles.utils import TBLR, Tile
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####################################
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# Test calc_tiles_with_overlap(...)
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####################################
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def test_calc_tiles_with_overlap_single_tile():
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"""Test calc_tiles_with_overlap() behavior when a single tile covers the image."""
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tiles = calc_tiles_with_overlap(image_height=512, image_width=1024, tile_height=512, tile_width=1024, overlap=64)
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expected_tiles = [
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Tile(
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coords=TBLR(top=0, bottom=512, left=0, right=1024),
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overlap=TBLR(top=0, bottom=0, left=0, right=0),
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)
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]
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assert tiles == expected_tiles
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def test_calc_tiles_with_overlap_evenly_divisible():
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"""Test calc_tiles_with_overlap() behavior when the image is evenly covered by multiple tiles."""
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# Parameters chosen so that image is evenly covered by 2 rows, 3 columns of tiles.
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tiles = calc_tiles_with_overlap(image_height=576, image_width=1600, tile_height=320, tile_width=576, overlap=64)
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expected_tiles = [
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# Row 0
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Tile(
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coords=TBLR(top=0, bottom=320, left=0, right=576),
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overlap=TBLR(top=0, bottom=64, left=0, right=64),
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),
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Tile(
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coords=TBLR(top=0, bottom=320, left=512, right=1088),
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overlap=TBLR(top=0, bottom=64, left=64, right=64),
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),
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Tile(
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coords=TBLR(top=0, bottom=320, left=1024, right=1600),
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overlap=TBLR(top=0, bottom=64, left=64, right=0),
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),
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# Row 1
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Tile(
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coords=TBLR(top=256, bottom=576, left=0, right=576),
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overlap=TBLR(top=64, bottom=0, left=0, right=64),
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),
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Tile(
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coords=TBLR(top=256, bottom=576, left=512, right=1088),
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overlap=TBLR(top=64, bottom=0, left=64, right=64),
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),
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Tile(
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coords=TBLR(top=256, bottom=576, left=1024, right=1600),
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overlap=TBLR(top=64, bottom=0, left=64, right=0),
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),
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]
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assert tiles == expected_tiles
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def test_calc_tiles_with_overlap_not_evenly_divisible():
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"""Test calc_tiles_with_overlap() behavior when the image requires 'uneven' overlaps to achieve proper coverage."""
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# Parameters chosen so that image is covered by 2 rows and 3 columns of tiles, with uneven overlaps.
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tiles = calc_tiles_with_overlap(image_height=400, image_width=1200, tile_height=256, tile_width=512, overlap=64)
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expected_tiles = [
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# Row 0
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Tile(
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coords=TBLR(top=0, bottom=256, left=0, right=512),
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overlap=TBLR(top=0, bottom=112, left=0, right=64),
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),
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Tile(
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coords=TBLR(top=0, bottom=256, left=448, right=960),
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overlap=TBLR(top=0, bottom=112, left=64, right=272),
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),
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Tile(
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coords=TBLR(top=0, bottom=256, left=688, right=1200),
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overlap=TBLR(top=0, bottom=112, left=272, right=0),
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),
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# Row 1
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Tile(
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coords=TBLR(top=144, bottom=400, left=0, right=512),
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overlap=TBLR(top=112, bottom=0, left=0, right=64),
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),
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Tile(
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coords=TBLR(top=144, bottom=400, left=448, right=960),
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overlap=TBLR(top=112, bottom=0, left=64, right=272),
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),
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Tile(
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coords=TBLR(top=144, bottom=400, left=688, right=1200),
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overlap=TBLR(top=112, bottom=0, left=272, right=0),
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),
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]
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assert tiles == expected_tiles
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@pytest.mark.parametrize(
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["image_height", "image_width", "tile_height", "tile_width", "overlap", "raises"],
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[
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(128, 128, 128, 128, 127, False), # OK
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(128, 128, 128, 128, 0, False), # OK
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(128, 128, 64, 64, 0, False), # OK
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(128, 128, 129, 128, 0, True), # tile_height exceeds image_height.
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(128, 128, 128, 129, 0, True), # tile_width exceeds image_width.
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(128, 128, 64, 128, 64, True), # overlap equals tile_height.
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(128, 128, 128, 64, 64, True), # overlap equals tile_width.
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],
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)
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def test_calc_tiles_with_overlap_input_validation(
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image_height: int,
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image_width: int,
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tile_height: int,
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tile_width: int,
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overlap: int,
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raises: bool,
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):
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"""Test that calc_tiles_with_overlap() raises an exception if the inputs are invalid."""
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if raises:
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with pytest.raises(AssertionError):
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calc_tiles_with_overlap(image_height, image_width, tile_height, tile_width, overlap)
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else:
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calc_tiles_with_overlap(image_height, image_width, tile_height, tile_width, overlap)
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####################################
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# Test calc_tiles_min_overlap(...)
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####################################
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def test_calc_tiles_min_overlap_single_tile():
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"""Test calc_tiles_min_overlap() behavior when a single tile covers the image."""
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tiles = calc_tiles_min_overlap(
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image_height=512,
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image_width=1024,
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tile_height=512,
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tile_width=1024,
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min_overlap=64,
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)
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expected_tiles = [
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Tile(
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coords=TBLR(top=0, bottom=512, left=0, right=1024),
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overlap=TBLR(top=0, bottom=0, left=0, right=0),
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)
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]
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assert tiles == expected_tiles
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def test_calc_tiles_min_overlap_evenly_divisible():
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"""Test calc_tiles_min_overlap() behavior when the image is evenly covered by multiple tiles."""
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# Parameters mimic roughly the same output as the original tile generations of the same test name
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tiles = calc_tiles_min_overlap(
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image_height=576,
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image_width=1600,
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tile_height=320,
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tile_width=576,
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min_overlap=64,
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)
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expected_tiles = [
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# Row 0
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Tile(
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coords=TBLR(top=0, bottom=320, left=0, right=576),
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overlap=TBLR(top=0, bottom=64, left=0, right=64),
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),
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Tile(
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coords=TBLR(top=0, bottom=320, left=512, right=1088),
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overlap=TBLR(top=0, bottom=64, left=64, right=64),
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),
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Tile(
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coords=TBLR(top=0, bottom=320, left=1024, right=1600),
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overlap=TBLR(top=0, bottom=64, left=64, right=0),
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),
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# Row 1
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Tile(
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coords=TBLR(top=256, bottom=576, left=0, right=576),
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overlap=TBLR(top=64, bottom=0, left=0, right=64),
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),
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Tile(
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coords=TBLR(top=256, bottom=576, left=512, right=1088),
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overlap=TBLR(top=64, bottom=0, left=64, right=64),
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),
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Tile(
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coords=TBLR(top=256, bottom=576, left=1024, right=1600),
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overlap=TBLR(top=64, bottom=0, left=64, right=0),
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),
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]
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assert tiles == expected_tiles
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def test_calc_tiles_min_overlap_not_evenly_divisible():
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"""Test calc_tiles_min_overlap() behavior when the image requires 'uneven' overlaps to achieve proper coverage."""
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# Parameters mimic roughly the same output as the original tile generations of the same test name
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tiles = calc_tiles_min_overlap(
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image_height=400,
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image_width=1200,
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tile_height=256,
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tile_width=512,
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min_overlap=64,
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)
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expected_tiles = [
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# Row 0
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Tile(
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coords=TBLR(top=0, bottom=256, left=0, right=512),
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overlap=TBLR(top=0, bottom=112, left=0, right=168),
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),
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Tile(
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coords=TBLR(top=0, bottom=256, left=344, right=856),
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overlap=TBLR(top=0, bottom=112, left=168, right=168),
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),
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Tile(
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coords=TBLR(top=0, bottom=256, left=688, right=1200),
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overlap=TBLR(top=0, bottom=112, left=168, right=0),
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),
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# Row 1
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Tile(
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coords=TBLR(top=144, bottom=400, left=0, right=512),
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overlap=TBLR(top=112, bottom=0, left=0, right=168),
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),
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Tile(
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coords=TBLR(top=144, bottom=400, left=344, right=856),
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overlap=TBLR(top=112, bottom=0, left=168, right=168),
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),
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Tile(
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coords=TBLR(top=144, bottom=400, left=688, right=1200),
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overlap=TBLR(top=112, bottom=0, left=168, right=0),
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),
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]
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assert tiles == expected_tiles
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def test_calc_tiles_min_overlap_tile_bigger_than_image():
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"""Test calc_tiles_min_overlap() behavior when the tile is nigger than the image"""
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# Parameters mimic roughly the same output as the original tile generations of the same test name
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tiles = calc_tiles_min_overlap(
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image_height=1024,
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image_width=1024,
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tile_height=1408,
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tile_width=1408,
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min_overlap=128,
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)
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expected_tiles = [
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# single tile
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Tile(
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coords=TBLR(top=0, bottom=1024, left=0, right=1024),
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overlap=TBLR(top=0, bottom=0, left=0, right=0),
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),
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]
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assert tiles == expected_tiles
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@pytest.mark.parametrize(
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[
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"image_height",
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"image_width",
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"tile_height",
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"tile_width",
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"min_overlap",
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"raises",
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],
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[
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(128, 128, 128, 128, 127, False), # OK
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(128, 128, 128, 128, 0, False), # OK
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(128, 128, 64, 64, 0, False), # OK
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(128, 128, 129, 128, 0, False), # tile_height exceeds image_height defaults to 1 tile.
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(128, 128, 128, 129, 0, False), # tile_width exceeds image_width defaults to 1 tile.
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(128, 128, 64, 128, 64, True), # overlap equals tile_height.
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(128, 128, 128, 64, 64, True), # overlap equals tile_width.
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],
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)
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def test_calc_tiles_min_overlap_input_validation(
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image_height: int,
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image_width: int,
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tile_height: int,
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tile_width: int,
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min_overlap: int,
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raises: bool,
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):
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"""Test that calc_tiles_min_overlap() raises an exception if the inputs are invalid."""
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if raises:
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with pytest.raises(AssertionError):
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calc_tiles_min_overlap(image_height, image_width, tile_height, tile_width, min_overlap)
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else:
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calc_tiles_min_overlap(image_height, image_width, tile_height, tile_width, min_overlap)
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####################################
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# Test calc_tiles_even_split(...)
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####################################
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def test_calc_tiles_even_split_single_tile():
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"""Test calc_tiles_even_split() behavior when a single tile covers the image."""
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tiles = calc_tiles_even_split(image_height=512, image_width=1024, num_tiles_x=1, num_tiles_y=1, overlap=64)
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expected_tiles = [
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Tile(
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coords=TBLR(top=0, bottom=512, left=0, right=1024),
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overlap=TBLR(top=0, bottom=0, left=0, right=0),
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)
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]
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assert tiles == expected_tiles
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def test_calc_tiles_even_split_evenly_divisible():
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"""Test calc_tiles_even_split() behavior when the image is evenly covered by multiple tiles."""
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# Parameters mimic roughly the same output as the original tile generations of the same test name
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tiles = calc_tiles_even_split(image_height=576, image_width=1600, num_tiles_x=3, num_tiles_y=2, overlap=64)
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expected_tiles = [
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# Row 0
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Tile(
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coords=TBLR(top=0, bottom=320, left=0, right=576),
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overlap=TBLR(top=0, bottom=64, left=0, right=64),
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),
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Tile(
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coords=TBLR(top=0, bottom=320, left=512, right=1088),
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overlap=TBLR(top=0, bottom=64, left=64, right=64),
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),
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Tile(
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coords=TBLR(top=0, bottom=320, left=1024, right=1600),
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overlap=TBLR(top=0, bottom=64, left=64, right=0),
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),
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# Row 1
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Tile(
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coords=TBLR(top=256, bottom=576, left=0, right=576),
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overlap=TBLR(top=64, bottom=0, left=0, right=64),
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),
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Tile(
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coords=TBLR(top=256, bottom=576, left=512, right=1088),
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overlap=TBLR(top=64, bottom=0, left=64, right=64),
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),
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Tile(
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coords=TBLR(top=256, bottom=576, left=1024, right=1600),
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overlap=TBLR(top=64, bottom=0, left=64, right=0),
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),
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]
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assert tiles == expected_tiles
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def test_calc_tiles_even_split_not_evenly_divisible():
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"""Test calc_tiles_even_split() behavior when the image requires 'uneven' overlaps to achieve proper coverage."""
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# Parameters mimic roughly the same output as the original tile generations of the same test name
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tiles = calc_tiles_even_split(image_height=400, image_width=1200, num_tiles_x=3, num_tiles_y=2, overlap=64)
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expected_tiles = [
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# Row 0
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Tile(
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coords=TBLR(top=0, bottom=232, left=0, right=440),
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overlap=TBLR(top=0, bottom=64, left=0, right=64),
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),
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Tile(
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coords=TBLR(top=0, bottom=232, left=376, right=816),
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overlap=TBLR(top=0, bottom=64, left=64, right=64),
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),
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Tile(
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coords=TBLR(top=0, bottom=232, left=752, right=1200),
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overlap=TBLR(top=0, bottom=64, left=64, right=0),
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),
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# Row 1
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Tile(
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coords=TBLR(top=168, bottom=400, left=0, right=440),
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overlap=TBLR(top=64, bottom=0, left=0, right=64),
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),
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Tile(
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coords=TBLR(top=168, bottom=400, left=376, right=816),
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overlap=TBLR(top=64, bottom=0, left=64, right=64),
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),
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Tile(
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coords=TBLR(top=168, bottom=400, left=752, right=1200),
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overlap=TBLR(top=64, bottom=0, left=64, right=0),
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),
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]
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assert tiles == expected_tiles
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def test_calc_tiles_even_split_difficult_size():
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"""Test calc_tiles_even_split() behavior when the image is a difficult size to spilt evenly and keep div8."""
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# Parameters are a difficult size for other tile gen routines to calculate
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tiles = calc_tiles_even_split(image_height=1000, image_width=1000, num_tiles_x=2, num_tiles_y=2, overlap=64)
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expected_tiles = [
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# Row 0
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Tile(
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coords=TBLR(top=0, bottom=528, left=0, right=528),
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overlap=TBLR(top=0, bottom=64, left=0, right=64),
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),
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Tile(
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coords=TBLR(top=0, bottom=528, left=464, right=1000),
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overlap=TBLR(top=0, bottom=64, left=64, right=0),
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),
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# Row 1
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Tile(
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coords=TBLR(top=464, bottom=1000, left=0, right=528),
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overlap=TBLR(top=64, bottom=0, left=0, right=64),
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),
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Tile(
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coords=TBLR(top=464, bottom=1000, left=464, right=1000),
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overlap=TBLR(top=64, bottom=0, left=64, right=0),
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),
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]
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assert tiles == expected_tiles
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@pytest.mark.parametrize(
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["image_height", "image_width", "num_tiles_x", "num_tiles_y", "overlap", "raises"],
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[
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(128, 128, 1, 1, 127, False), # OK
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(128, 128, 1, 1, 0, False), # OK
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(128, 128, 2, 2, 0, False), # OK
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(128, 128, 2, 1, 120, True), # overlap equals tile_height.
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(128, 128, 1, 2, 120, True), # overlap equals tile_width.
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(127, 127, 1, 1, 0, True), # image size must be dividable by 8
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],
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)
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def test_calc_tiles_even_split_input_validation(
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image_height: int,
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image_width: int,
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num_tiles_x: int,
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num_tiles_y: int,
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overlap: int,
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raises: bool,
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):
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"""Test that calc_tiles_even_split() raises an exception if the inputs are invalid."""
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if raises:
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with pytest.raises((AssertionError, ValueError)):
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calc_tiles_even_split(image_height, image_width, num_tiles_x, num_tiles_y, overlap)
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else:
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calc_tiles_even_split(image_height, image_width, num_tiles_x, num_tiles_y, overlap)
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#############################################
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# Test merge_tiles_with_linear_blending(...)
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#############################################
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@pytest.mark.parametrize("blend_amount", [0, 32])
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def test_merge_tiles_with_linear_blending_horizontal(blend_amount: int):
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"""Test merge_tiles_with_linear_blending(...) behavior when merging horizontally."""
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# Initialize 2 tiles side-by-side.
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tiles = [
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Tile(
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coords=TBLR(top=0, bottom=512, left=0, right=512),
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overlap=TBLR(top=0, bottom=0, left=0, right=64),
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|
),
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Tile(
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coords=TBLR(top=0, bottom=512, left=448, right=960),
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overlap=TBLR(top=0, bottom=0, left=64, right=0),
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),
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|
]
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|
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dst_image = np.zeros((512, 960, 3), dtype=np.uint8)
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|
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# Prepare tile_images that match tiles. Pixel values are set based on the tile index.
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tile_images = [
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|
np.zeros((512, 512, 3)) + 64,
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np.zeros((512, 512, 3)) + 128,
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]
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|
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# Calculate expected output.
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expected_output = np.zeros((512, 960, 3), dtype=np.uint8)
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expected_output[:, : 480 - (blend_amount // 2), :] = 64
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if blend_amount > 0:
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gradient = np.linspace(start=64, stop=128, num=blend_amount, dtype=np.uint8).reshape((1, blend_amount, 1))
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expected_output[:, 480 - (blend_amount // 2) : 480 + (blend_amount // 2), :] = gradient
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expected_output[:, 480 + (blend_amount // 2) :, :] = 128
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|
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merge_tiles_with_linear_blending(
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dst_image=dst_image,
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tiles=tiles,
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tile_images=tile_images,
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blend_amount=blend_amount,
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|
)
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|
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np.testing.assert_array_equal(dst_image, expected_output, strict=True)
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|
|
|
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|
@pytest.mark.parametrize("blend_amount", [0, 32])
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def test_merge_tiles_with_linear_blending_vertical(blend_amount: int):
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|
"""Test merge_tiles_with_linear_blending(...) behavior when merging vertically."""
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|
# Initialize 2 tiles stacked vertically.
|
|
tiles = [
|
|
Tile(
|
|
coords=TBLR(top=0, bottom=512, left=0, right=512),
|
|
overlap=TBLR(top=0, bottom=64, left=0, right=0),
|
|
),
|
|
Tile(
|
|
coords=TBLR(top=448, bottom=960, left=0, right=512),
|
|
overlap=TBLR(top=64, bottom=0, left=0, right=0),
|
|
),
|
|
]
|
|
|
|
dst_image = np.zeros((960, 512, 3), dtype=np.uint8)
|
|
|
|
# Prepare tile_images that match tiles. Pixel values are set based on the tile index.
|
|
tile_images = [
|
|
np.zeros((512, 512, 3)) + 64,
|
|
np.zeros((512, 512, 3)) + 128,
|
|
]
|
|
|
|
# Calculate expected output.
|
|
expected_output = np.zeros((960, 512, 3), dtype=np.uint8)
|
|
expected_output[: 480 - (blend_amount // 2), :, :] = 64
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if blend_amount > 0:
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|
gradient = np.linspace(start=64, stop=128, num=blend_amount, dtype=np.uint8).reshape((blend_amount, 1, 1))
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|
expected_output[480 - (blend_amount // 2) : 480 + (blend_amount // 2), :, :] = gradient
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|
expected_output[480 + (blend_amount // 2) :, :, :] = 128
|
|
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|
merge_tiles_with_linear_blending(
|
|
dst_image=dst_image,
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|
tiles=tiles,
|
|
tile_images=tile_images,
|
|
blend_amount=blend_amount,
|
|
)
|
|
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|
np.testing.assert_array_equal(dst_image, expected_output, strict=True)
|
|
|
|
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|
def test_merge_tiles_with_linear_blending_blend_amount_exceeds_vertical_overlap():
|
|
"""Test that merge_tiles_with_linear_blending(...) raises an exception if 'blend_amount' exceeds the overlap between
|
|
any vertically adjacent tiles.
|
|
"""
|
|
# Initialize 2 tiles stacked vertically.
|
|
tiles = [
|
|
Tile(
|
|
coords=TBLR(top=0, bottom=512, left=0, right=512),
|
|
overlap=TBLR(top=0, bottom=64, left=0, right=0),
|
|
),
|
|
Tile(
|
|
coords=TBLR(top=448, bottom=960, left=0, right=512),
|
|
overlap=TBLR(top=64, bottom=0, left=0, right=0),
|
|
),
|
|
]
|
|
|
|
dst_image = np.zeros((960, 512, 3), dtype=np.uint8)
|
|
|
|
# Prepare tile_images that match tiles.
|
|
tile_images = [np.zeros((512, 512, 3)), np.zeros((512, 512, 3))]
|
|
|
|
# blend_amount=128 exceeds overlap of 64, so should raise exception.
|
|
with pytest.raises(AssertionError):
|
|
merge_tiles_with_linear_blending(dst_image=dst_image, tiles=tiles, tile_images=tile_images, blend_amount=128)
|
|
|
|
|
|
def test_merge_tiles_with_linear_blending_blend_amount_exceeds_horizontal_overlap():
|
|
"""Test that merge_tiles_with_linear_blending(...) raises an exception if 'blend_amount' exceeds the overlap between
|
|
any horizontally adjacent tiles.
|
|
"""
|
|
# Initialize 2 tiles side-by-side.
|
|
tiles = [
|
|
Tile(
|
|
coords=TBLR(top=0, bottom=512, left=0, right=512),
|
|
overlap=TBLR(top=0, bottom=0, left=0, right=64),
|
|
),
|
|
Tile(
|
|
coords=TBLR(top=0, bottom=512, left=448, right=960),
|
|
overlap=TBLR(top=0, bottom=0, left=64, right=0),
|
|
),
|
|
]
|
|
|
|
dst_image = np.zeros((512, 960, 3), dtype=np.uint8)
|
|
|
|
# Prepare tile_images that match tiles.
|
|
tile_images = [np.zeros((512, 512, 3)), np.zeros((512, 512, 3))]
|
|
|
|
# blend_amount=128 exceeds overlap of 64, so should raise exception.
|
|
with pytest.raises(AssertionError):
|
|
merge_tiles_with_linear_blending(dst_image=dst_image, tiles=tiles, tile_images=tile_images, blend_amount=128)
|
|
|
|
|
|
def test_merge_tiles_with_linear_blending_tiles_overflow_dst_image():
|
|
"""Test that merge_tiles_with_linear_blending(...) raises an exception if any of the tiles overflows the
|
|
dst_image.
|
|
"""
|
|
tiles = [
|
|
Tile(
|
|
coords=TBLR(top=0, bottom=512, left=0, right=512),
|
|
overlap=TBLR(top=0, bottom=0, left=0, right=0),
|
|
)
|
|
]
|
|
|
|
dst_image = np.zeros((256, 512, 3), dtype=np.uint8)
|
|
|
|
# Prepare tile_images that match tiles.
|
|
tile_images = [np.zeros((512, 512, 3))]
|
|
|
|
with pytest.raises(ValueError):
|
|
merge_tiles_with_linear_blending(dst_image=dst_image, tiles=tiles, tile_images=tile_images, blend_amount=0)
|
|
|
|
|
|
def test_merge_tiles_with_linear_blending_mismatched_list_lengths():
|
|
"""Test that merge_tiles_with_linear_blending(...) raises an exception if the lengths of 'tiles' and 'tile_images'
|
|
do not match.
|
|
"""
|
|
tiles = [
|
|
Tile(
|
|
coords=TBLR(top=0, bottom=512, left=0, right=512),
|
|
overlap=TBLR(top=0, bottom=0, left=0, right=0),
|
|
)
|
|
]
|
|
|
|
dst_image = np.zeros((256, 512, 3), dtype=np.uint8)
|
|
|
|
# tile_images is longer than tiles, so should cause an exception.
|
|
tile_images = [np.zeros((512, 512, 3)), np.zeros((512, 512, 3))]
|
|
|
|
with pytest.raises(ValueError):
|
|
merge_tiles_with_linear_blending(dst_image=dst_image, tiles=tiles, tile_images=tile_images, blend_amount=0)
|