0bf81caddbc64e81b8b2989e8dbb5a0ec49e489a,Security_and_MachineLearning/src/defensive_chap7/face_auth.py,,,#,11

Before Change

        // Prediction.
        pred = model.predict(array_img)[0]
        top_indices = pred.argsort()[-1:][::-1]
        results = [(classes[i], pred[i]) for i in top_indices]

        // Final judgement.
        judge = "Reject"
        prob = results[0][1] * 100
        if prob > THRESHOLD:
            judge = "Unlock"
        msg = "{} ({:.1f}%). res="{}"".format(results[0][0], prob, judge)
        print(msg)

        // Draw frame to face.

After Change

nb_classes = len(classes)

// Dimensions of training images.
img_width, img_height = 150, 150

// Load model.
print("Load trained model: {}".format(trained_model))

Instances