| """CPU tests of the mask export (no GPU, no SAM 3). |
| """ |
| import json |
|
|
| import numpy as np |
| import pytest |
|
|
| from strangebench.masks import export_sam3_masks as E |
|
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|
|
| def test_rle_round_trip_and_box_convention(): |
| m = np.zeros((40, 60), dtype=np.uint8) |
| m[5:15, 10:30] = 255 |
| rle = E.rle_from_mask(m) |
| assert rle["size"] == [40, 60] and isinstance(rle["counts"], str) |
| assert E.rle_bbox(rle) == [10.0, 5.0, 20.0, 10.0] |
| assert E.rle_bbox(E.rle_from_mask(np.zeros((4, 4), bool))) is None |
|
|
|
|
| def test_box_rle_covers_the_box(): |
| rle = E.box_rle([10, 5, 20, 10], 40, 60) |
| assert E.rle_bbox(rle) == pytest.approx([10.0, 5.0, 20.0, 10.0], abs=1.0) |
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|
|
| def test_match_raw_ann_picks_same_class_best_box(): |
| raw = [{"category_name": "dog", "bbox": [0, 0, 10, 10]}, {"category_name": "cat", "bbox": [50, 50, 10, 10]}, |
| {"category_name": "cat", "bbox": [0, 0, 10, 10]}] |
| assert E.match_raw_ann(raw, "cat", [1, 1, 10, 10])["bbox"] == [0, 0, 10, 10] |
| assert E.match_raw_ann(raw, "bird", [0, 0, 5, 5]) is None |
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|
|
| def _tree(root, tier="tier2_1typical"): |
| (root / tier / "images").mkdir(parents=True) |
| d = {"images": [{"id": 1, "scene_id": "s1", "file_name": "s1.png", "height": 40, "width": 60}], |
| "categories": [{"id": 1, "name": "dog"}, {"id": 2, "name": "cat"}], |
| "annotations": [{"id": 7, "image_id": 1, "category_id": 1, "bbox": [10, 5, 20, 10], "area": 200, "iscrowd": 0}, |
| {"id": 8, "image_id": 1, "category_id": 2, "bbox": [40, 20, 10, 10], "area": 100, "iscrowd": 1}]} |
| (root / tier / "annotations.json").write_text(json.dumps(d)) |
| return d |
|
|
|
|
| def test_attach_writes_new_tree_and_keeps_boxes(tmp_path): |
| tree, out = tmp_path / "shipped", tmp_path / "out" |
| shipped = _tree(tree) |
| m = np.zeros((40, 60), dtype=np.uint8) |
| m[5:15, 10:30] = 255 |
| rle = E.rle_from_mask(m) |
| E.write_json_atomic(out / "fragments" / "tier2_1typical" / "s1.json", {"scene_id": "s1", "anns": [ |
| {"ann_id": 7, "category": "dog", "bbox_shipped": [10, 5, 20, 10], "segmentation": rle, |
| "mask_bbox": E.rle_bbox(rle), "box_iou": 1.0}]}) |
| E.main(["attach", "--out-root", str(out), "--variant", f"balanced={tree}"]) |
| got = json.load(open(out / "balanced" / "tier2_1typical" / "annotations.json")) |
| a7, a8 = got["annotations"] |
| assert a7["segmentation_source"] == "sam3" and a7["segmentation"] == rle |
| assert a8["segmentation_source"] == "box" |
| assert [a["bbox"] for a in got["annotations"]] == [a["bbox"] for a in shipped["annotations"]] |
| assert json.load(open(tree / "tier2_1typical" / "annotations.json")) == shipped |
| assert (out / "mask_report.csv").exists() |
|
|
|
|
| def test_attach_falls_back_to_box_and_refuses_missing(tmp_path): |
| tree, out = tmp_path / "shipped", tmp_path / "out" |
| _tree(tree) |
| with pytest.raises(SystemExit): |
| E.main(["attach", "--out-root", str(out), "--variant", f"balanced={tree}"]) |
| E.write_json_atomic(out / "fragments" / "tier2_1typical" / "s1.json", {"scene_id": "s1", "anns": [ |
| {"ann_id": 7, "category": "dog", "bbox_shipped": [10, 5, 20, 10], "segmentation": None, "box_iou": 0.0}]}) |
| E.main(["attach", "--out-root", str(out), "--variant", f"balanced={tree}"]) |
| got = json.load(open(out / "balanced" / "tier2_1typical" / "annotations.json")) |
| assert got["annotations"][0]["segmentation_source"] == "box" |
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|
