DeepRegNet /
DeepReg
| @@ 241-280 (lines=40) @@ | ||
| 238 | ||
| 239 | ||
| 240 | class TestJaccardIndex: |
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| 241 | @pytest.mark.parametrize( |
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| 242 | ("value", "smooth_nr", "smooth_dr", "expected"), |
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| 243 | [ |
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| 244 | (0, 1e-5, 1e-5, 1), |
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| 245 | (0, 0, 1e-5, 0), |
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| 246 | (0, 1e-5, 0, np.inf), |
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| 247 | (0, 0, 0, np.nan), |
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| 248 | (0, 1e-7, 1e-7, 1), |
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| 249 | (1, 1e-5, 1e-5, 1), |
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| 250 | (1, 0, 1e-5, 1), |
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| 251 | (1, 1e-5, 0, 1), |
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| 252 | (1, 0, 0, 1), |
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| 253 | (1, 1e-7, 1e-7, 1), |
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| 254 | ], |
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| 255 | ) |
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| 256 | def test_smooth( |
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| 257 | self, |
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| 258 | value: float, |
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| 259 | smooth_nr: float, |
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| 260 | smooth_dr: float, |
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| 261 | expected: float, |
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| 262 | ): |
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| 263 | """ |
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| 264 | Test values in extreme cases where numerator/denominator are all zero. |
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| 265 | ||
| 266 | :param value: value for input. |
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| 267 | :param smooth_nr: constant for numerator. |
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| 268 | :param smooth_dr: constant for denominator. |
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| 269 | :param expected: target value. |
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| 270 | """ |
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| 271 | shape = (1, 10) |
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| 272 | y_true = tf.ones(shape=shape) * value |
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| 273 | y_pred = tf.ones(shape=shape) * value |
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| 274 | ||
| 275 | got = label.JaccardIndex(smooth_nr=smooth_nr, smooth_dr=smooth_dr).call( |
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| 276 | y_true, |
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| 277 | y_pred, |
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| 278 | ) |
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| 279 | expected = tf.constant(expected) |
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| 280 | assert is_equal_tf(got[0], expected) |
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| 281 | ||
| 282 | @pytest.mark.parametrize("binary", [True, False]) |
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| 283 | @pytest.mark.parametrize("background_weight", [0.0, 0.1, 0.5, 1.0]) |
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| @@ 43-82 (lines=40) @@ | ||
| 40 | ||
| 41 | ||
| 42 | class TestDiceScore: |
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| 43 | @pytest.mark.parametrize( |
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| 44 | ("value", "smooth_nr", "smooth_dr", "expected"), |
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| 45 | [ |
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| 46 | (0, 1e-5, 1e-5, 1), |
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| 47 | (0, 0, 1e-5, 0), |
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| 48 | (0, 1e-5, 0, np.inf), |
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| 49 | (0, 0, 0, np.nan), |
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| 50 | (0, 1e-7, 1e-7, 1), |
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| 51 | (1, 1e-5, 1e-5, 1), |
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| 52 | (1, 0, 1e-5, 1), |
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| 53 | (1, 1e-5, 0, 1), |
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| 54 | (1, 0, 0, 1), |
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| 55 | (1, 1e-7, 1e-7, 1), |
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| 56 | ], |
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| 57 | ) |
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| 58 | def test_smooth( |
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| 59 | self, |
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| 60 | value: float, |
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| 61 | smooth_nr: float, |
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| 62 | smooth_dr: float, |
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| 63 | expected: float, |
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| 64 | ): |
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| 65 | """ |
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| 66 | Test values in extreme cases where numerator/denominator are all zero. |
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| 67 | ||
| 68 | :param value: value for input. |
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| 69 | :param smooth_nr: constant for numerator. |
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| 70 | :param smooth_dr: constant for denominator. |
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| 71 | :param expected: target value. |
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| 72 | """ |
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| 73 | shape = (1, 10) |
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| 74 | y_true = tf.ones(shape=shape) * value |
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| 75 | y_pred = tf.ones(shape=shape) * value |
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| 76 | ||
| 77 | got = label.DiceScore(smooth_nr=smooth_nr, smooth_dr=smooth_dr).call( |
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| 78 | y_true, |
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| 79 | y_pred, |
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| 80 | ) |
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| 81 | expected = tf.constant(expected) |
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| 82 | assert is_equal_tf(got[0], expected) |
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| 83 | ||
| 84 | @pytest.mark.parametrize("binary", [True, False]) |
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| 85 | @pytest.mark.parametrize("background_weight", [0.0, 0.1, 0.5, 1.0]) |
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