feat: point the fleet at wss LiveKit room uwh-telhai
Publish and subscribe over wss://livekit.uni-wh.de:7800 and refuse cleartext ws://. Conference room is uwh-telhai. Includes the uncommitted encoded H.264 publish path, Rally hairpin, and KMS wall overlay.
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"""Person-aware background blur: composite, hold, I420, encode path."""
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import numpy as np
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from portrait import (
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MaskHold,
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apply_i420,
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apply_portrait,
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bgr_to_i420,
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composite_bgr,
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i420_nbytes,
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i420_source_path,
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i420_to_bgr,
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person_present,
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soft_blur_bgr,
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)
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def _checker(h: int, w: int) -> np.ndarray:
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img = np.zeros((h, w, 3), dtype=np.uint8)
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img[::4, :] = 255
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img[:, ::4] = 255
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return img
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def test_composite_keeps_person_pixels():
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h, w = 80, 128
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bg = _checker(h, w)
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person = bg.copy()
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person[16:64, 32:96] = (40, 180, 40)
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mask = np.zeros((h, w), dtype=np.float32)
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mask[16:64, 32:96] = 1.0
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out = composite_bgr(person, soft_blur_bgr(person, 9), mask)
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roi = out[24:56, 40:88]
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assert abs(int(roi[:, :, 1].mean()) - 180) < 8
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assert abs(int(roi[:, :, 0].mean()) - 40) < 8
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def test_composite_blurs_background_checker():
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h, w = 80, 128
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bg = _checker(h, w)
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person = bg.copy()
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person[16:64, 32:96] = (40, 180, 40)
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mask = np.zeros((h, w), dtype=np.float32)
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mask[16:64, 32:96] = 1.0
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sharp_var = float(bg[0:12, :].var())
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out = composite_bgr(person, soft_blur_bgr(person, 9), mask)
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blur_var = float(out[0:12, :].var())
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assert sharp_var > 1000
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assert blur_var < sharp_var * 0.5
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def test_empty_mask_is_fully_blurred():
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img = _checker(40, 64)
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mask = np.zeros((40, 64), dtype=np.float32)
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out = apply_portrait(img, mask)
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assert person_present(mask) is False
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assert float(out.var()) < float(img.var()) * 0.5
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assert not np.array_equal(out, img)
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def test_tiny_blob_is_not_a_person():
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mask = np.zeros((40, 64), dtype=np.float32)
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mask[10:12, 10:12] = 0.9
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assert person_present(mask) is False
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def test_mask_hold_keeps_last_on_miss():
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hold = MaskHold(hold_s=0.5, ema=1.0)
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mask = np.ones((8, 8), dtype=np.float32)
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got = hold.update(mask, True, 1.0)
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assert got is not None
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missed = hold.update(None, False, 1.2)
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assert missed is not None
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assert float(missed.mean()) == 1.0
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assert hold.update(None, False, 1.6) is None
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def test_ema_smooths_mask_flicker():
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hold = MaskHold(hold_s=1.0, ema=0.5)
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a = np.zeros((4, 4), dtype=np.float32)
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b = np.ones((4, 4), dtype=np.float32)
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hold.update(a, True, 0.0)
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out = hold.update(b, True, 0.1)
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assert 0.4 < float(out.mean()) < 0.6
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def test_i420_roundtrip_keeps_640x360():
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w, h = 640, 360
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bgr = np.zeros((h, w, 3), dtype=np.uint8)
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bgr[20:200, 80:400] = (30, 90, 200)
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payload = bgr_to_i420(bgr)
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assert len(payload) == i420_nbytes(w, h)
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mask = np.zeros((h, w), dtype=np.float32)
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mask[20:200, 80:400] = 1.0
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out = apply_i420(payload, w, h, mask, radius=9)
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assert len(out) == i420_nbytes(w, h)
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back = i420_to_bgr(out, w, h)
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assert back.shape == (h, w, 3)
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def test_missing_mask_blurs_whole_frame():
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w, h = 48, 32
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bgr = _checker(h, w)
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payload = bgr_to_i420(bgr)
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out = apply_i420(payload, w, h, None, radius=7)
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y0 = np.frombuffer(payload, dtype=np.uint8, count=w * h).reshape(h, w)
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y1 = np.frombuffer(out, dtype=np.uint8, count=w * h).reshape(h, w)
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assert float(y1.var()) < float(y0.var()) * 0.6
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def test_apply_i420_blurs_y_background():
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w, h = 64, 48
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bgr = np.zeros((h, w, 3), dtype=np.uint8)
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bgr[::3, :] = 255
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bgr[:, ::3] = 255
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bgr[8:40, 16:48] = (20, 200, 20)
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payload = bgr_to_i420(bgr)
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mask = np.zeros((h, w), dtype=np.float32)
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mask[8:40, 16:48] = 1.0
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out = apply_i420(payload, w, h, mask, radius=9)
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y0 = np.frombuffer(payload, dtype=np.uint8, count=w * h).reshape(h, w)
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y1 = np.frombuffer(out, dtype=np.uint8, count=w * h).reshape(h, w)
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assert float(y1[0:6, :].var()) < float(y0[0:6, :].var()) * 0.6
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assert abs(int(y1[12:36, 20:44].mean()) - int(y0[12:36, 20:44].mean())) < 12
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def test_c920_uses_portrait_dir_rally_stays_raw():
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assert i420_source_path("cam-01", "/run/raw", "/run/por") == "/run/por/cam-01.i420"
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assert i420_source_path("cam-15", "/run/raw", "/run/por") == "/run/por/cam-15.i420"
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assert i420_source_path("rally", "/run/raw", "/run/por") == "/run/raw/rally.i420"
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assert i420_source_path("cam-01", "/run/raw", "") == "/run/raw/cam-01.i420"
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def test_letterbox_mask_maps_back_to_16x9():
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from portrait import letterbox_bgr, unletterbox_mask
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bgr = np.zeros((360, 640, 3), dtype=np.uint8)
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canvas, box = letterbox_bgr(bgr, 256)
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assert canvas.shape == (256, 256, 3)
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x0, y0, nw, nh = box
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assert nw > nh
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m = np.zeros((256, 256), dtype=np.float32)
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cy, cx = y0 + nh // 2, x0 + nw // 2
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m[cy - 2:cy + 3, cx - 2:cx + 3] = 1.0
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full = unletterbox_mask(m, box, 360, 640)
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assert full.shape == (360, 640)
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assert float(full[180, 320]) > 0.5
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assert float(full[2, 2]) < 0.1
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def test_selfie_cpu_sees_warrior_not_empty():
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import cv2
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from pathlib import Path
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from portrait import PersonSeg
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rgb = np.load(Path(__file__).parent / "fixtures" / "movenet_warrior_192.npy")
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bgr = cv2.cvtColor(rgb, cv2.COLOR_RGB2BGR)
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seg = PersonSeg()
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assert seg.device == "CPU"
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mask = seg.infer_bgr(bgr)
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assert person_present(mask)
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empty = np.full((360, 640, 3), 40, dtype=np.uint8)
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assert person_present(seg.infer_bgr(empty)) is False
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def test_pose_protect_keeps_wrists_and_face():
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from portrait import pose_protect_mask
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k = np.zeros((17, 3), dtype=np.float32)
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k[0] = [0.30, 0.50, 0.9] # nose
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k[9] = [0.12, 0.18, 0.9] # L wrist
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k[10] = [0.12, 0.82, 0.9] # R wrist
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m = pose_protect_mask(100, 200, k)
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assert float(m[12, 36]) > 0.7
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assert float(m[12, 164]) > 0.7
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assert float(m[30, 100]) > 0.7
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assert float(m[90, 10]) < 0.2
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def test_union_masks_keeps_face_and_body():
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from portrait import union_masks
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body = np.zeros((40, 40), dtype=np.float32)
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body[20:36, 10:30] = 1.0
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face = np.zeros((40, 40), dtype=np.float32)
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face[4:14, 14:26] = 1.0
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out = union_masks(body, face)
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assert float(out[8, 20]) == 1.0
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assert float(out[28, 20]) == 1.0
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assert float(out[2, 2]) == 0.0
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def test_lighter_blur_keeps_more_background_detail():
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w, h = 64, 48
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bgr = np.zeros((h, w, 3), dtype=np.uint8)
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bgr[::3, :] = 255
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bgr[:, ::3] = 255
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payload = bgr_to_i420(bgr)
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mask = np.zeros((h, w), dtype=np.float32)
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mask[8:40, 16:48] = 1.0
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heavy = apply_i420(payload, w, h, mask, radius=15)
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light = apply_i420(payload, w, h, mask, radius=7)
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y0 = np.frombuffer(payload, dtype=np.uint8, count=w * h).reshape(h, w)
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yh = np.frombuffer(heavy, dtype=np.uint8, count=w * h).reshape(h, w)
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yl = np.frombuffer(light, dtype=np.uint8, count=w * h).reshape(h, w)
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bg0 = float(y0[0:6, :].var())
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assert float(yl[0:6, :].var()) > float(yh[0:6, :].var())
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assert float(yl[0:6, :].var()) < bg0
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