feat: Phase 2.6 edges migration to Qdrant (TKG-only architecture)

Phase 2.6.1: co_occurrence_edges migration
- build_co_occurrence_edges_from_qdrant()
- Qdrant embeddings → frame grouping → YOLO objects
- Result: 6679 edges (vs 6701 PostgreSQL)

Phase 2.6.2: face_face_edges migration
- build_face_face_edges_from_qdrant()
- Qdrant embeddings → frame grouping → face pairs
- mutual_gaze detection preserved
- Result: 6 edges (exact match)

Phase 2.6.3: speaker_face_edges migration
- build_speaker_face_edges_from_qdrant()
- Qdrant embeddings → trace_id frame ranges
- SPEAKS_AS edge creation

Architecture:
- All edges use Qdrant payload (no face_detections queries)
- PostgreSQL fallback for empty Qdrant
- Estimated 3.6x performance improvement

Testing:
- Playground (3003): ✓ All Phase 2.6 logs verified
- Edge counts: ✓ Close match with PostgreSQL
- Fallback: ✓ Working

Docs:
- docs_v1.0/DESIGN/TKG_PHASE2_6_EDGES_MIGRATION.md
- docs_v1.0/M4_workspace/2026-06-21_phase2_6_test.md
This commit is contained in:
Accusys
2026-06-21 04:47:49 +08:00
parent 0afc70fc5b
commit 2cfcfdd1af
2926 changed files with 8311058 additions and 1394 deletions

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#!/opt/homebrew/bin/python3.11
"""
Draw Detection Result on Image
"""
import cv2
import os
UUID = "384b0ff44aaaa1f1"
OUTPUT_DIR = f"output/{UUID}/florence2_results"
INPUT_IMG = os.path.join(OUTPUT_DIR, "raw_6846.jpg")
OUTPUT_IMG = os.path.join(OUTPUT_DIR, "raw_6846_detected.jpg")
# Florence-2 Result from previous run: [x_min, y_min, x_max, y_max]
# Note: Florence-2 usually returns coordinates in normalized 0-1000 scale.
box_raw = [1721.28, 23.22, 1813.44, 173.34]
# Image dimensions
img_width, img_height = 1920, 1080
print(f"🎨 Drawing box on {INPUT_IMG}...")
img = cv2.imread(INPUT_IMG)
if img is None:
print("❌ Failed to load image.")
exit()
# Convert normalized coordinates to pixel coordinates
# Florence-2 uses 1000x1000 normalized coordinates
x1 = int((box_raw[0] / 1000.0) * img_width)
y1 = int((box_raw[1] / 1000.0) * img_height)
x2 = int((box_raw[2] / 1000.0) * img_width)
y2 = int((box_raw[3] / 1000.0) * img_height)
print(f"📍 Pixel Coordinates: ({x1}, {y1}) to ({x2}, {y2})")
# Draw Rectangle (Color: Green, Thickness: 4)
cv2.rectangle(img, (x1, y1), (x2, y2), (0, 255, 0), 4)
# Add Label
cv2.putText(img, "STAMP", (x1, y1 - 10), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2)
# Save
cv2.imwrite(OUTPUT_IMG, img)
print(f"✅ Saved result to {OUTPUT_IMG}")