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January 4, 2019 22:39
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load images from .h5 files
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def load_dataset(): | |
train_dataset = h5py.File('datasets/train_happy.h5', "r") | |
train_set_x_orig = np.array(train_dataset["train_set_x"][:]) # your train set features | |
train_set_y_orig = np.array(train_dataset["train_set_y"][:]) # your train set labels | |
test_dataset = h5py.File('datasets/test_happy.h5', "r") | |
test_set_x_orig = np.array(test_dataset["test_set_x"][:]) # your test set features | |
test_set_y_orig = np.array(test_dataset["test_set_y"][:]) # your test set labels | |
classes = np.array(test_dataset["list_classes"][:]) # the list of classes | |
train_set_y_orig = train_set_y_orig.reshape((1, train_set_y_orig.shape[0])) | |
test_set_y_orig = test_set_y_orig.reshape((1, test_set_y_orig.shape[0])) | |
return train_set_x_orig, train_set_y_orig, test_set_x_orig, test_set_y_orig, classes |
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