38 lines
1.1 KiB
Python
38 lines
1.1 KiB
Python
import numpy as np
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from app.vision import BBox, crop_image, detect_salient_object, select_primary_bbox, square_bbox
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def test_square_bbox_is_square_and_inside_bounds():
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bbox = BBox(x=10, y=20, w=40, h=20)
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square = square_bbox(bbox, (100, 120, 3), buffer_ratio=0.1)
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assert square.w == square.h
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assert square.x >= 0
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assert square.y >= 0
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assert square.right <= 120
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assert square.bottom <= 100
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def test_crop_image_uses_bbox():
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image = np.zeros((60, 80, 3), dtype=np.uint8)
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image[10:30, 20:50] = 255
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bbox = BBox(x=20, y=10, w=30, h=20)
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crop = crop_image(image, bbox)
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assert crop.shape[:2] == (20, 30)
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def test_detect_salient_object_finds_rectangle():
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image = np.zeros((100, 100, 3), dtype=np.uint8)
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image[25:75, 30:80] = 255
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bbox = detect_salient_object(image)
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assert bbox is not None
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assert bbox.w >= 45
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assert bbox.h >= 45
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def test_select_primary_bbox_falls_back_when_detector_disabled():
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image = np.zeros((100, 120, 3), dtype=np.uint8)
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bbox, method = select_primary_bbox(image, detector="center")
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assert method == "center_fallback"
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assert bbox.w == bbox.h
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