mirror of
https://github.com/finegrain-ai/refiners.git
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73 lines
2.5 KiB
Python
73 lines
2.5 KiB
Python
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from pathlib import Path
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from warnings import warn
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import pytest
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import torch
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from PIL import Image
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from tests.utils import ensure_similar_images
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from refiners.solutions import BoxSegmenter
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def _img_open(path: Path) -> Image.Image:
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return Image.open(path) # type: ignore
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@pytest.fixture(scope="module")
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def ref_path(test_e2e_path: Path) -> Path:
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return test_e2e_path / "test_solutions_ref"
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@pytest.fixture(scope="module")
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def ref_shelves(ref_path: Path) -> Image.Image:
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return _img_open(ref_path / "shelves.jpg").convert("RGB")
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@pytest.fixture
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def expected_box_segmenter_plant_mask(ref_path: Path) -> Image.Image:
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return _img_open(ref_path / "expected_box_segmenter_plant_mask.png")
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@pytest.fixture
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def expected_box_segmenter_spray_mask(ref_path: Path) -> Image.Image:
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return _img_open(ref_path / "expected_box_segmenter_spray_mask.png")
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@pytest.fixture
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def expected_box_segmenter_spray_cropped_mask(ref_path: Path) -> Image.Image:
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return _img_open(ref_path / "expected_box_segmenter_spray_cropped_mask.png")
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@pytest.fixture(scope="module")
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def box_segmenter_weights(test_weights_path: Path) -> Path:
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weights = test_weights_path / "finegrain-box-segmenter-v0-1.safetensors"
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if not weights.is_file():
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warn(f"could not find weights at {test_weights_path}, skipping")
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pytest.skip(allow_module_level=True)
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return weights
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def test_box_segmenter(
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box_segmenter_weights: Path,
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ref_shelves: Image.Image,
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expected_box_segmenter_plant_mask: Image.Image,
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expected_box_segmenter_spray_mask: Image.Image,
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expected_box_segmenter_spray_cropped_mask: Image.Image,
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test_device: torch.device,
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):
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segmenter = BoxSegmenter(weights=box_segmenter_weights, device=test_device)
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plant_mask = segmenter(ref_shelves, box_prompt=(504, 82, 754, 368))
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ensure_similar_images(plant_mask.convert("RGB"), expected_box_segmenter_plant_mask.convert("RGB"))
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spray_box = (461, 542, 594, 823)
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spray_mask = segmenter(ref_shelves, box_prompt=spray_box)
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ensure_similar_images(spray_mask.convert("RGB"), expected_box_segmenter_spray_mask.convert("RGB"))
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# Test left and bottom padding.
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off_l, off_b = 11, 7
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shelves_cropped = ref_shelves.crop((spray_box[0] - off_l, 0, ref_shelves.width, spray_box[3] + off_b))
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spray_cropped_box = (off_l, spray_box[1], spray_box[2] - spray_box[0] + off_l, spray_box[3])
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spray_cropped_mask = segmenter(shelves_cropped, box_prompt=spray_cropped_box)
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ensure_similar_images(spray_cropped_mask.convert("RGB"), expected_box_segmenter_spray_cropped_mask.convert("RGB"))
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