2cfcfdd1af
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
41 lines
1005 B
Python
41 lines
1005 B
Python
#!/opt/homebrew/bin/python3.11
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"""
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Crop the detected stamp from the image.
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"""
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from PIL import Image
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import os
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UUID = "384b0ff44aaaa1f1"
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BASE_DIR = f"output/{UUID}/florence2_results"
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IMG_NAME = "raw_6846.jpg"
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img_path = os.path.join(BASE_DIR, IMG_NAME)
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# Coordinates from the successful run that detected 'stamp'
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# Format: [x_min, y_min, x_max, y_max]
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box = [1721.28, 23.22, 1813.44, 173.34]
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print(f"📷 Loading image: {img_path}")
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if not os.path.exists(img_path):
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print("❌ Image not found.")
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exit()
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try:
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img = Image.open(img_path)
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print(f"📐 Image Size: {img.width}x{img.height}")
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# Convert float coordinates to int
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box_int = [int(x) for x in box]
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print(f"✂️ Cropping box: {box_int}")
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# Crop the image
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cropped = img.crop(box_int)
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# Save
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out_path = os.path.join(BASE_DIR, "stamp_crop_detected.jpg")
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cropped.save(out_path)
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print(f"✅ Successfully saved cropped stamp to {out_path}")
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except Exception as e:
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print(f"❌ Error: {e}")
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