Death camera: forensics, capture, and probes (fix not yet applied)

Pilot sees the escape-pod/wreck interior at death instead of the portal ride. Findings (DEATH-SEQUENCE-NOTES.md): two death variants exist -- respawn deaths transit the chain camera to the portal at the origin (fp_cam's <100m vehicle-distance guard rejects exactly that ride = the fix target); mission-end deaths (tonight's capture) have no transit on the wire at all, just the fog fade at the wreck. At death the 0x1f articulation batches switch to driving origin-anchored nodes = the portal diorama animating; type-3 view flushes decode as projection+fog only (hither/yon at floats 12/13). Reference capture captures/netdeath-20260708.fifodump (full networked mission incl. death) + replay probes in probes/. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-09 00:13:12 -05:00
parent 1b041d5a9e
commit 162fa39117
4 changed files with 236 additions and 0 deletions
@@ -0,0 +1,74 @@
+#!/usr/bin/env python3
+"""Type-3 (view) flush anatomy: are floats 0..13 a live camera pose?
+Sample across the whole mission + densely in the death tail; compare the
+candidate position triplet(s) against the vehicle root per frame."""
+import struct, os, sys
+sys.path.insert(0, r'c:\VWE\TeslaRel410\dpl3-revive\patha')
+import numpy as np
+
+path = os.path.join(os.path.dirname(__file__), '..', 'captures', 'netdeath-20260708.fifodump')
+data = open(path, 'rb').read()
+
+frames = 0
+created = {}
+veh = {}                 # latest max-translation 0x1f pose per frame
+flushes = []             # (frame, view_handle, floats24, veh_t)
+last_t = None
+o = 0
+while o + 8 <= len(data):
+    if data[o:o+4] != b'VPXM':
+        o += 1; continue
+    ln = struct.unpack_from('<I', data, o+4)[0]
+    if o + 8 + ln > len(data): break
+    body = data[o+8:o+8+ln]; o += 8 + ln
+    if len(body) < 4: continue
+    a = struct.unpack_from('<I', body, 0)[0]
+    p = body[4:]
+    if a == 9:
+        frames += 1
+    elif a == 1 and len(p) >= 8:
+        created[struct.unpack_from('<I', p, 4)[0]] = struct.unpack_from('<I', p, 0)[0]
+    elif a == 0x1f and len(p) >= 8:
+        # crude: largest |t| pose in the batch = player vehicle root
+        n = struct.unpack_from('<I', p, 0)[0]
+        off = 4
+        best = None
+        for _ in range(min(n, 64)):
+            if off + 4 + 48 > len(p): break
+            h = struct.unpack_from('<I', p, off)[0]
+            f12 = struct.unpack_from('<12f', p, off + 4)
+            t = f12[9:12]
+            m = abs(t[0]) + abs(t[1]) + abs(t[2])
+            if best is None or m > best[0]:
+                best = (m, t)
+            off += 4 + 48
+        if best:
+            last_t = best[1]
+    elif a == 3 and len(p) >= 100:
+        h = struct.unpack_from('<I', p, 0)[0]
+        if created.get(h) == 3:
+            flushes.append((frames, h, struct.unpack_from('<24f', p, 4), last_t))
+
+print(f"draw frames={frames}, view flushes={len(flushes)}")
+handles = {}
+for f, h, fl, t in flushes:
+    handles[h] = handles.get(h, 0) + 1
+print("view handles:", {hex(k): v for k, v in handles.items()})
+
+def show(fr, h, fl, t):
+    ts = "?" if t is None else f"({t[0]:7.1f},{t[1]:6.1f},{t[2]:7.1f})"
+    print(f"  f{fr} h={h:#x} veh={ts}")
+    print(f"    [0-8] " + " ".join(f"{x:7.3f}" for x in fl[0:9]))
+    print(f"    [9-13]" + " ".join(f"{x:9.2f}" for x in fl[9:14])
+          + f"  [14-17] " + " ".join(f"{x:.2f}" for x in fl[14:18]))
+
+# sparse samples through the mission
+print("\n-- sparse samples:")
+step = max(1, len(flushes) // 12)
+for i in range(0, len(flushes), step):
+    show(*flushes[i])
+
+# dense tail: last 30 flushes
+print("\n-- death tail (last 30):")
+for rec in flushes[-30:]:
+    show(*rec)