Relax unknown prediction rejection

app.py

@@ -26,10 +26,10 @@ DATABASE_PATH = BASE_DIR / "instance" / "traffic_signs.sqlite3"
 MODEL_PATH = BASE_DIR / "traffic_classifier.h5"
 ALLOWED_EXTENSIONS = {"png", "jpg", "jpeg", "webp"}
 NORMALIZE_INPUT = os.environ.get("NORMALIZE_INPUT", "false").lower() in {"1", "true", "yes"}
-MC_DROPOUT_PASSES = int(os.environ.get("MC_DROPOUT_PASSES", "3"))
-UNKNOWN_CONFIDENCE_THRESHOLD = float(os.environ.get("UNKNOWN_CONFIDENCE_THRESHOLD", "0.50"))
-UNKNOWN_MARGIN_THRESHOLD = float(os.environ.get("UNKNOWN_MARGIN_THRESHOLD", "0.10"))
-UNKNOWN_VOTE_THRESHOLD = float(os.environ.get("UNKNOWN_VOTE_THRESHOLD", "0.60"))
+MC_DROPOUT_PASSES = int(os.environ.get("MC_DROPOUT_PASSES", "1"))
+UNKNOWN_CONFIDENCE_THRESHOLD = float(os.environ.get("UNKNOWN_CONFIDENCE_THRESHOLD", "0.999"))
+UNKNOWN_MARGIN_THRESHOLD = float(os.environ.get("UNKNOWN_MARGIN_THRESHOLD", "0.0"))
+UNKNOWN_VOTE_THRESHOLD = float(os.environ.get("UNKNOWN_VOTE_THRESHOLD", "0.0"))
 URL_CONTENT_TYPES = {
     "image/jpeg": "jpg",
     "image/png": "png",