best_cars_encoders

[mustfkeskin]

When training complete there is a no folder exist best_cars_encoders
https://qdrant.tech/articles/cars-recognition/
But in evulator.py os.path.join(os.path.dirname(file), "best_cars_encoders") want to load best_cars_encoders

def eval_tuned_encoder(dataset, device):
    print("Evaluating tuned encoder...")
    tuned_cars_model = SimilarityModel.load(
        os.path.join(os.path.dirname(__file__), "best_cars_encoders")
    ).to(device)
    tuned_cars_model.eval()

    result = Quaterion.evaluate(
        evaluator=Evaluator(
            metrics=RetrievalRPrecision(),
            sampler=GroupSampler(sample_size=1000, device=device, log_progress=True),
        ),
        model=tuned_cars_model,
        dataset=dataset,
    )

    print(result)