Unable to run with fashion_mnist

[kaka1346]

Hi,

Could you please explain about sample script that use fashion_mnist dataset
As I know, fashion_mnist is gray dataset, how convert to to 3 channel images as requirement ?

#below is code i used:

from keras.datasets import fashion_mnist
from deepaugment.deepaugment import DeepAugment
my_config = {
"model": "basiccnn",
"method": "bayesian_optimization",
"train_set_size": 2000,
"opt_samples": 3,
"opt_last_n_epochs": 3,
"opt_initial_points": 10,
"child_epochs": 50,
"child_first_train_epochs": 0,
"child_batch_size": 64
}
(x_train, y_train), (x_test, y_test) = fashion_mnist.load_data()
X_train = x_train.reshape(x_train.shape[0], x_train.shape[1], x_train.shape[2], 1)
deepaug = DeepAugment(images=X_train, labels=y_train, config=my_config)
best_policies = deepaug.optimize(300)

I have tried to reshape X_train = x_train.reshape(x_train.shape[0], x_train.shape[1], x_train.shape[2], 3), but it cann't
The error I faced

0, 0.1327777779367234, ['rotate', 0.0, 'rotate', 0.0, 'rotate', 0.0, 'rotate', 0.0, 'rotate', 0.0, 'rotate', 0.0, 'rotate', 0.0, 'rotate', 0.0, 'rotate', 0.0, 'rotate', 0.0]
trial: 1
['gamma-contrast', 0.8442657485810175, 'coarse-salt-pepper', 0.8472517387841256, 'brighten', 0.38438170729269994, 'translate-y', 0.056712977317443194, 'translate-y', 0.47766511732135, 'add-to-hue-and-saturation', 0.47997717237505744, 'emboss', 0.8360787635373778, 'sharpen', 0.6481718720511973, 'emboss', 0.9571551589530466, 'rotate', 0.8700872583584366]
/home/kaka/PycharmProjects/DeepAugment /venv/lib/python3.6/site-packages/imgaug/augmenters/color.py:448: UserWarning: Received an image with shape (H, W, C) and C=1 in ChangeColorspace._augment_image(). Expected C to usually be 3 -- any other value will likely result in errors. (Note that this function is e.g. called during grayscale conversion and hue/saturation changes.)
"changes.)" % (image.shape[2],)