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



(trainX, trainY), (testX, testY) = cifar10.load_data()

trainX = trainX.astype("float32")
testX = testX.astype("float32")

trainX /= 255.
testX /= 255.

In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 4

Instances

Link

Project Name: titu1994/DenseNet

Commit Name: 516c2a4c7e8f92e1ea299e966215c2ffe4c5b980

Time: 2016-12-07

Author: titu1994@gmail.com

File Name: cifar10.py

Class Name:

Method Name:

Link

Project Name: IBM/adversarial-robustness-toolbox

Commit Name: 226ac881c2bd28468dacfe8838d0b9cd0373ccc0

Time: 2020-08-03

Author: ebube.chuba@ibm.com

File Name: art/estimators/embedding/keras.py

Class Name: KerasAdversarialEmbedding

Method Name: fit

Link

Project Name: yzhao062/pyod

Commit Name: 98aeec9fcc311086cb6953dded42b399af97f189

Time: 2018-05-25

Author: 9io9mZ9K#nNL

File Name: pyod/models/iforest.py

Class Name: IForest

Method Name: fit