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| """Clear all black/invalid face enrollments from the database""" | |
| import sys, os | |
| sys.path.insert(0, os.path.dirname(os.path.abspath(__file__))) | |
| from dotenv import load_dotenv | |
| load_dotenv() | |
| import cv2 | |
| import numpy as np | |
| import sqlite3 | |
| # Connect directly to SQLite for cleanup | |
| conn = sqlite3.connect('netraid.db') | |
| c = conn.cursor() | |
| # Count current state | |
| c.execute("SELECT COUNT(*) FROM face_embeddings") | |
| emb_count = c.fetchone()[0] | |
| c.execute("SELECT COUNT(*) FROM employee_images") | |
| img_count = c.fetchone()[0] | |
| print(f"Current: {emb_count} embeddings, {img_count} employee images") | |
| # Delete all face embeddings | |
| c.execute("DELETE FROM face_embeddings") | |
| print(f"Deleted all face embeddings") | |
| # Delete all employee images from DB | |
| c.execute("DELETE FROM employee_images") | |
| print(f"Deleted all employee image records from DB") | |
| conn.commit() | |
| conn.close() | |
| # Also delete the actual image files | |
| import shutil | |
| uploads_dir = "./uploads/EMP01" | |
| if os.path.exists(uploads_dir): | |
| for f in os.listdir(uploads_dir): | |
| fpath = os.path.join(uploads_dir, f) | |
| if os.path.isfile(fpath): | |
| os.remove(fpath) | |
| print(f"Deleted file: {fpath}") | |
| print("Cleared all uploaded image files") | |
| print("\n✅ Cleanup complete! You can now re-enroll fresh from the UI.") | |
| print("Go to: http://localhost:3001/employees → select employee → Biometric Enroll") | |