flatten image python numpy
x_data = np.array( [np.array(cv2.imread(imagePath[i])) for i in range(len(imagePath))] )
pixels = x_data.flatten().reshape(1000, 12288)
print pixels.shapeflatten image python numpy
x_data = np.array( [np.array(cv2.imread(imagePath[i])) for i in range(len(imagePath))] )
pixels = x_data.flatten().reshape(1000, 12288)
print pixels.shapehow to flatten the image dataset
# Reshape the training and test examples
train_x_flatten = train_x_orig.reshape(train_x_orig.shape[0], -1).T # The "-1" makes reshape flatten the remaining dimensions
test_x_flatten = test_x_orig.reshape(test_x_orig.shape[0], -1).TCopyright © 2021 Codeinu
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