516c2a4c7e8f92e1ea299e966215c2ffe4c5b980,cifar10.py,,,#,14

Before Change

test_generator = ImageDataGenerator(featurewise_center=True,
                                    featurewise_std_normalization=True)

test_generator.fit(testX, augment=True, seed=0)

// Load model
model.load_weights("weights/DenseNet-40-12-CIFAR10.h5")
print("Model loaded.")

After Change

//                    nb_val_samples=testX.shape[0], verbose=2)

yPreds = model.predict(testX)
yPred = np.argmax(yPreds, axis=1)
yTrue = testY

accuracy = metrics.accuracy_score(yTrue, yPred) * 100
error = 100 - accuracy

Instances