v1.0 - Version stable: multi-PC, détection UI-DETR-1, 3 modes exécution

- Frontend v4 accessible sur réseau local (192.168.1.40)
- Ports ouverts: 3002 (frontend), 5001 (backend), 5004 (dashboard)
- Ollama GPU fonctionnel
- Self-healing interactif
- Dashboard confiance

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

examples/test_complete_pipeline.py

@@ -0,0 +1,39 @@
+#!/usr/bin/env python3
+"""Test du pipeline complet: CLIP + FAISS + OWL-v2"""
+import sys
+from pathlib import Path
+sys.path.insert(0, str(Path(__file__).parent.parent))
+
+from core.embedding.clip_embedder import CLIPEmbedder
+from core.embedding.faiss_manager import FAISSManager
+from PIL import Image
+
+print("="*70)
+print("  TEST PIPELINE COMPLET")
+print("="*70)
+
+# 1. CLIP
+print("\n1. CLIP Embeddings...")
+clip = CLIPEmbedder()
+img1 = Image.new('RGB', (224, 224), color=(255, 0, 0))
+img2 = Image.new('RGB', (224, 224), color=(0, 255, 0))
+emb1 = clip.embed_image(img1)
+emb2 = clip.embed_image(img2)
+print(f"✓ 2 embeddings générés")
+
+# 2. FAISS
+print("\n2. FAISS Indexation...")
+faiss = FAISSManager(dimensions=512, metric="cosine")
+faiss.add_embedding("red", emb1, {"color": "red"})
+faiss.add_embedding("green", emb2, {"color": "green"})
+print(f"✓ Index: {faiss.get_stats()['total_vectors']} vecteurs")
+
+# 3. Recherche
+print("\n3. Recherche de similarité...")
+results = faiss.search_similar(emb1, k=2)
+for i, r in enumerate(results, 1):
+    print(f"  {i}. {r.metadata['color']}: {r.similarity:.4f}")
+
+print("\n" + "="*70)
+print("✅ PIPELINE COMPLET FONCTIONNEL")
+print("="*70)