a27b74cf22
- 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>
40 lines
1.2 KiB
Python
Executable File
40 lines
1.2 KiB
Python
Executable File
#!/usr/bin/env python3
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"""Test du pipeline complet: CLIP + FAISS + OWL-v2"""
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import sys
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).parent.parent))
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from core.embedding.clip_embedder import CLIPEmbedder
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from core.embedding.faiss_manager import FAISSManager
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from PIL import Image
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print("="*70)
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print(" TEST PIPELINE COMPLET")
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print("="*70)
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# 1. CLIP
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print("\n1. CLIP Embeddings...")
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clip = CLIPEmbedder()
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img1 = Image.new('RGB', (224, 224), color=(255, 0, 0))
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img2 = Image.new('RGB', (224, 224), color=(0, 255, 0))
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emb1 = clip.embed_image(img1)
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emb2 = clip.embed_image(img2)
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print(f"✓ 2 embeddings générés")
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# 2. FAISS
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print("\n2. FAISS Indexation...")
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faiss = FAISSManager(dimensions=512, metric="cosine")
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faiss.add_embedding("red", emb1, {"color": "red"})
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faiss.add_embedding("green", emb2, {"color": "green"})
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print(f"✓ Index: {faiss.get_stats()['total_vectors']} vecteurs")
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# 3. Recherche
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print("\n3. Recherche de similarité...")
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results = faiss.search_similar(emb1, k=2)
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for i, r in enumerate(results, 1):
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print(f" {i}. {r.metadata['color']}: {r.similarity:.4f}")
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print("\n" + "="*70)
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print("✅ PIPELINE COMPLET FONCTIONNEL")
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print("="*70)
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