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| import numpy as np | |
| from braillevision.preprocessing import ( | |
| correct_perspective, | |
| enhance_contrast, | |
| preprocess, | |
| to_gray, | |
| ) | |
| def test_to_gray_accepts_color_and_gray(blank_frame): | |
| gray = to_gray(blank_frame) | |
| assert gray.shape == blank_frame.shape[:2] | |
| assert gray.dtype == np.uint8 | |
| assert to_gray(gray).shape == gray.shape | |
| def test_enhance_contrast_preserves_shape(synthetic_hello): | |
| gray = to_gray(synthetic_hello) | |
| enhanced = enhance_contrast(gray) | |
| assert enhanced.shape == gray.shape | |
| assert enhanced.dtype == np.uint8 | |
| assert enhanced.max() >= enhanced.min() | |
| def test_blank_image_does_not_crash(blank_frame): | |
| processed = preprocess(blank_frame) | |
| assert processed.shape == blank_frame.shape[:2] | |
| def test_perspective_fallback_returns_image(blank_frame): | |
| corrected = correct_perspective(blank_frame) | |
| assert corrected.shape == blank_frame.shape | |