"""Tests for the OpenArt visible-watermark engine (localize -> fill). No real captured OpenArt sample is committed (see ``openart_engine.py``'s module docstring for why), so every fixture here is a synthetic composite of the bundled, procedurally reconstructed alpha asset -- there is no ``TestRealSample`` analogue to ``test_doubao_engine.py``'s skip-if-absent class. """ from __future__ import annotations import cv2 import numpy as np import pytest from remove_ai_watermarks import watermark_registry as registry from remove_ai_watermarks.openart_engine import ( _ALPHA_HEIGHT_FRAC, _ALPHA_NATIVE_WIDTH, _ALPHA_WIDTH_FRAC, DETECT_NCC_THRESHOLD, OpenArtEngine, _alpha_template, _glyph_silhouette, _template_match_score, ) def _compose(w: int, h: int, bg: float = 100.0): """Composite the bundled alpha (scaled to the image's short side) onto a flat bg, centered in the frame. Returns ``(watermarked_uint8, mark_bool_mask)``.""" img = np.full((h, w, 3), bg, np.float32) at = _alpha_template() base = min(w, h) gw, gh = int(_ALPHA_WIDTH_FRAC * base), int(_ALPHA_HEIGHT_FRAC * base) ax = (w - gw) // 2 ay = (h - gh) // 2 amap = np.zeros((h, w), np.float32) amap[ay : ay + gh, ax : ax + gw] = cv2.resize(at, (gw, gh)) a3 = amap[:, :, None] wm = (a3 * 255.0 + (1 - a3) * img).clip(0, 255).astype(np.uint8) return wm, amap > 0.2 class TestLocate: def test_box_centered_in_frame(self): eng = OpenArtEngine() img = np.zeros((2048, 2048, 3), np.uint8) loc = eng.locate(img) cx, cy = loc.x + loc.w / 2, loc.y + loc.h / 2 assert cx == pytest.approx(2048 / 2, abs=2048 * 0.02) assert cy == pytest.approx(2048 / 2, abs=2048 * 0.02) def test_box_scales_with_short_side(self): eng = OpenArtEngine() small = eng.locate(np.zeros((1024, 1024, 3), np.uint8)) large = eng.locate(np.zeros((2048, 2048, 3), np.uint8)) assert large.w == pytest.approx(small.w * 2, rel=0.1) def test_box_stays_centered_on_portrait(self): """The one confirmed carrier is a portrait (1528x2712); the box must stay horizontally AND vertically centered, not just anchored to one axis.""" eng = OpenArtEngine() loc = eng.locate(np.zeros((2712, 1528, 3), np.uint8)) cx, cy = loc.x + loc.w / 2, loc.y + loc.h / 2 assert cx == pytest.approx(1528 / 2, abs=1528 * 0.02) assert cy == pytest.approx(2712 / 2, abs=2712 * 0.02) class TestDetect: def test_clean_gradient_not_detected(self): eng = OpenArtEngine() ramp = np.tile(np.linspace(0, 255, 1024, dtype=np.uint8), (1024, 1)) img = cv2.cvtColor(ramp, cv2.COLOR_GRAY2BGR) assert not eng.detect(img).detected def test_solid_blob_center_not_detected(self): """A bright blob is not the glyph shape -> low correlation, not detected.""" eng = OpenArtEngine() img = np.zeros((1024, 1024, 3), np.uint8) x, y, bw, bh = eng.locate(img).bbox img[y + bh // 4 : y + bh * 3 // 4, x : x + bw // 2] = 200 assert not eng.detect(img).detected def test_silhouette_loads(self): sil = _glyph_silhouette() assert sil is not None assert set(np.unique(sil)).issubset({0, 255}) def test_match_score_shape_sensitive(self): """The glyph silhouette correlates with itself, not with a filled block.""" sil = _glyph_silhouette() h, w = sil.shape box = np.zeros((h + 8, int(w / _ALPHA_WIDTH_FRAC * 0.2) + w), np.uint8) box[4 : 4 + h, 4 : 4 + w] = sil assert _template_match_score(box, _ALPHA_NATIVE_WIDTH) >= DETECT_NCC_THRESHOLD solid = np.full_like(box, 255) assert _template_match_score(solid, _ALPHA_NATIVE_WIDTH) < DETECT_NCC_THRESHOLD def test_small_image_guarded_from_false_positive(self): """Below the shared minimum short side, detection is skipped outright (``_MIN_DETECT_SHORT_SIDE`` in ``_text_mark_engine``) regardless of vendor.""" wm, _mark = _compose(_ALPHA_NATIVE_WIDTH, _ALPHA_NATIVE_WIDTH) eng = OpenArtEngine() assert eng.detect(wm).detected # native: synthetic mark detected assert not eng.detect(cv2.resize(wm, (150, 150))).detected # below guard: suppressed def test_random_textured_images_do_not_false_fire(self): """A frame-center locate box sits over far more varied content than a corner box (see the module docstring's calibration caveat); guard against the obvious failure mode on plain photographic texture.""" eng = OpenArtEngine() rng = np.random.default_rng(0) for _ in range(15): h, w = int(rng.integers(1000, 2200)), int(rng.integers(1000, 2200)) noise = rng.integers(60, 200, (h, w, 3)).astype(np.uint8) img = cv2.GaussianBlur(noise, (0, 0), sigmaX=8) assert not eng.detect(img).detected class TestAlphaAsset: def test_alpha_asset_loads(self): at = _alpha_template() assert at is not None assert at.dtype.kind == "f" assert float(at.min()) >= 0.0 assert float(at.max()) <= 1.0 class TestFootprintMaskAndRemoval: def test_footprint_mask_near_frame_center(self): wm, _mark = _compose(_ALPHA_NATIVE_WIDTH, _ALPHA_NATIVE_WIDTH) mask = OpenArtEngine().footprint_mask(wm) assert mask is not None assert mask.shape == wm.shape[:2] ys, xs = np.where(mask > 0) assert ys.mean() == pytest.approx(wm.shape[0] / 2, abs=wm.shape[0] * 0.15) assert xs.mean() == pytest.approx(wm.shape[1] / 2, abs=wm.shape[1] * 0.15) def test_removes_synthetic_mark(self): wm, _mark = _compose(_ALPHA_NATIVE_WIDTH, _ALPHA_NATIVE_WIDTH) assert OpenArtEngine().detect(wm).detected out, region = registry.get_mark("openart").remove(wm, backend="cv2") assert region is not None assert not OpenArtEngine().detect(out).detected @pytest.mark.parametrize( ("w", "h"), [ (_ALPHA_NATIVE_WIDTH, _ALPHA_NATIVE_WIDTH), # square (1528, 2712), # the one confirmed carrier's exact aspect/size ], ) def test_fill_removes_and_leaves_frame_edges(self, w, h): """The fill lowers re-detect confidence and leaves the untouched corners exact.""" wm, mark = _compose(w, h) assert float(np.abs(wm.astype(np.float32)[mark] - 100.0).mean()) > 15 # mark visible before = OpenArtEngine().detect(wm) out, _ = registry.get_mark("openart").remove(wm, backend="cv2") assert OpenArtEngine().detect(out).confidence < before.confidence edge = max(4, min(w, h) // 8) assert np.array_equal(out[:edge, :edge], wm[:edge, :edge]) assert np.array_equal(out[-edge:, -edge:], wm[-edge:, -edge:]) class TestDegenerateAndChannelInputs: """footprint_mask must not crash on degenerate sizes or non-3-channel inputs.""" @pytest.mark.parametrize(("w", "h"), [(2048, 1), (1, 2048), (2048, 8)]) def test_wide_short_does_not_raise(self, w, h): eng = OpenArtEngine() img = np.zeros((h, w, 3), np.uint8) mask = eng.footprint_mask(img, force=True) assert mask is None or mask.shape == (h, w) def test_grayscale_2d_does_not_raise(self): eng = OpenArtEngine() gray = np.zeros((2048, 2048), np.uint8) mask = eng.footprint_mask(gray, force=True) assert mask is None or mask.shape == (2048, 2048) def test_bgra_4channel_does_not_raise(self): eng = OpenArtEngine() bgra = np.zeros((2048, 2048, 4), np.uint8) mask = eng.footprint_mask(bgra, force=True) assert mask is None or mask.shape == (2048, 2048) @pytest.mark.parametrize("shape", [(20, 20, 3), (10, 400, 3), (400, 10, 3), (1, 1, 3), (2000, 2000, 3)]) def test_locate_box_stays_in_bounds(self, shape): """locate() must clamp its geometry box inside the image for ANY size/aspect, including the frame-center ("cc") corner -- alongside br/bl as in Doubao's test.""" from remove_ai_watermarks._text_mark_engine import TextMarkEngine from remove_ai_watermarks.doubao_engine import _CONFIG as BR_CONFIG from remove_ai_watermarks.openart_engine import _CONFIG as CC_CONFIG from remove_ai_watermarks.samsung_engine import _CONFIG as BL_CONFIG h, w = shape[:2] img = np.zeros(shape, np.uint8) for cfg in (BR_CONFIG, BL_CONFIG, CC_CONFIG): loc = TextMarkEngine(cfg).locate(img) assert loc.x >= 0 assert loc.y >= 0 assert loc.x + loc.w <= w assert loc.y + loc.h <= h assert loc.w > 0 assert loc.h > 0