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assignments from deep learning course in Tongji University
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Original file line number | Diff line number | Diff line change |
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def load_data(train_path='train/', test_path='test/'): | ||
train_list = glob(osp.join(train_path, '*.png')) | ||
pattern = re.compile(r'num(\d).png') | ||
train_id = np.array([float(pattern.search(img_name).groups()[0]) for img_name in train_list]) | ||
train_data = np.concatenate([np.array(Image.open(img_name)).reshape((1, 784))for img_name in tqdm_notebook(train_list, leave=False)], | ||
axis=0).astype(np.float) | ||
|
||
test_list = glob(osp.join(test_path, '*.png')) | ||
test_id = np.array([float(pattern.search(img_name).groups()[0]) for img_name in test_list]) | ||
test_data = np.concatenate([np.array(Image.open(img_name)).reshape((1, 784)) for img_name in tqdm_notebook(test_list, leave=False)], | ||
axis=0).astype(np.float) | ||
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||
return train_data, train_id, test_data, test_id |
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