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optv / test / test_image_processing.py
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import unittest
from optv.parameters import ControlParams
from optv.image_processing import preprocess_image
import numpy as np, os

class Test_image_processing(unittest.TestCase):
        
    def setUp(self):
        self.input_img = np.array([[ 0, 0, 0, 0, 0],
                               [ 0, 255, 255, 255, 0],
                               [ 0, 255, 255, 255, 0],
                               [ 0, 255, 255, 255, 0],
                               [ 0, 0, 0, 0, 0]], dtype=np.uint8)
        self.filter_hp = 0
        self.control = ControlParams(4)
        self.control.set_image_size((5, 5))
        
    def test_arguments(self):
        with self.assertRaises(ValueError):
            preprocess_image(self.input_img, self.filter_hp, self.control,
                             lowpass_dim=1, output_img=np.empty((5, 4), dtype=np.uint8))
        
       
        with self.assertRaises(ValueError):
            # 3d output
            preprocess_image(self.input_img, self.filter_hp, self.control,
                             lowpass_dim=1, output_img=np.empty((5, 5, 5), dtype=np.uint8))
            
        with self.assertRaises(ValueError):
            # filter_hp=2 but filter_file=None
            preprocess_image(self.input_img, 2, self.control, output_img=np.empty((5, 5), dtype=np.uint8))
        
    def test_preprocess_image(self):
        correct_res = np.array([[ 0, 0, 0, 0, 0],
                                [ 0, 142, 85, 142, 0],
                                [ 0, 85, 0, 85, 0],
                                [ 0, 142, 85, 142, 0],
                                [ 0, 0, 0, 0, 0]],
                               dtype=np.uint8)
        
        res = preprocess_image(self.input_img,
                               self.filter_hp,
                               self.control,
                               lowpass_dim=1,
                               filter_file=None,
                               output_img=None)
        
        np.testing.assert_array_equal(res, correct_res)

if __name__ == "__main__":
    unittest.main()