How to use assertIsNotNone method in autotest

Best Python code snippet using autotest_python

models_test.py

Source:models_test.py Github

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...27 window_stride_ms=10,28 feature_bin_count=40,29 preprocess="mfcc")30 def testPrepareModelSettings(self):31 self.assertIsNotNone(32 models.prepare_model_settings(33 label_count=10,34 sample_rate=16000,35 clip_duration_ms=1000,36 window_size_ms=20,37 window_stride_ms=10,38 feature_bin_count=40,39 preprocess="mfcc"))40 @test_util.run_deprecated_v141 def testCreateModelConvTraining(self):42 model_settings = self._modelSettings()43 with self.cached_session() as sess:44 fingerprint_input = tf.zeros([1, model_settings["fingerprint_size"]])45 logits, dropout_rate = models.create_model(46 fingerprint_input, model_settings, "conv", True)47 self.assertIsNotNone(logits)48 self.assertIsNotNone(dropout_rate)49 self.assertIsNotNone(sess.graph.get_tensor_by_name(logits.name))50 self.assertIsNotNone(sess.graph.get_tensor_by_name(dropout_rate.name))51 @test_util.run_deprecated_v152 def testCreateModelConvInference(self):53 model_settings = self._modelSettings()54 with self.cached_session() as sess:55 fingerprint_input = tf.zeros([1, model_settings["fingerprint_size"]])56 logits = models.create_model(fingerprint_input, model_settings, "conv",57 False)58 self.assertIsNotNone(logits)59 self.assertIsNotNone(sess.graph.get_tensor_by_name(logits.name))60 @test_util.run_deprecated_v161 def testCreateModelLowLatencyConvTraining(self):62 model_settings = self._modelSettings()63 with self.cached_session() as sess:64 fingerprint_input = tf.zeros([1, model_settings["fingerprint_size"]])65 logits, dropout_rate = models.create_model(66 fingerprint_input, model_settings, "low_latency_conv", True)67 self.assertIsNotNone(logits)68 self.assertIsNotNone(dropout_rate)69 self.assertIsNotNone(sess.graph.get_tensor_by_name(logits.name))70 self.assertIsNotNone(sess.graph.get_tensor_by_name(dropout_rate.name))71 @test_util.run_deprecated_v172 def testCreateModelFullyConnectedTraining(self):73 model_settings = self._modelSettings()74 with self.cached_session() as sess:75 fingerprint_input = tf.zeros([1, model_settings["fingerprint_size"]])76 logits, dropout_rate = models.create_model(77 fingerprint_input, model_settings, "single_fc", True)78 self.assertIsNotNone(logits)79 self.assertIsNotNone(dropout_rate)80 self.assertIsNotNone(sess.graph.get_tensor_by_name(logits.name))81 self.assertIsNotNone(sess.graph.get_tensor_by_name(dropout_rate.name))82 def testCreateModelBadArchitecture(self):83 model_settings = self._modelSettings()84 with self.cached_session():85 fingerprint_input = tf.zeros([1, model_settings["fingerprint_size"]])86 with self.assertRaises(Exception) as e:87 models.create_model(fingerprint_input, model_settings,88 "bad_architecture", True)89 self.assertIn("not recognized", str(e.exception))90 @test_util.run_deprecated_v191 def testCreateModelTinyConvTraining(self):92 model_settings = self._modelSettings()93 with self.cached_session() as sess:94 fingerprint_input = tf.zeros([1, model_settings["fingerprint_size"]])95 logits, dropout_rate = models.create_model(96 fingerprint_input, model_settings, "tiny_conv", True)97 self.assertIsNotNone(logits)98 self.assertIsNotNone(dropout_rate)99 self.assertIsNotNone(sess.graph.get_tensor_by_name(logits.name))100 self.assertIsNotNone(sess.graph.get_tensor_by_name(dropout_rate.name))101if __name__ == "__main__":...

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test_stitching.py

Source:test_stitching.py Github

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...15 def test_simple(self):16 img = self.get_sample('stitching/a1.png')17 finder= cv.ORB.create()18 imgFea = cv.detail.computeImageFeatures2(finder,img)19 self.assertIsNotNone(imgFea)20 matcher = cv.detail_BestOf2NearestMatcher(False, 0.3)21 self.assertIsNotNone(matcher)22 matcher = cv.detail_AffineBestOf2NearestMatcher(False, False, 0.3)23 self.assertIsNotNone(matcher)24 matcher = cv.detail_BestOf2NearestRangeMatcher(2, False, 0.3)25 self.assertIsNotNone(matcher)26 estimator = cv.detail_AffineBasedEstimator()27 self.assertIsNotNone(estimator)28 estimator = cv.detail_HomographyBasedEstimator()29 self.assertIsNotNone(estimator)30 adjuster = cv.detail_BundleAdjusterReproj()31 self.assertIsNotNone(adjuster)32 adjuster = cv.detail_BundleAdjusterRay()33 self.assertIsNotNone(adjuster)34 adjuster = cv.detail_BundleAdjusterAffinePartial()35 self.assertIsNotNone(adjuster)36 adjuster = cv.detail_NoBundleAdjuster()37 self.assertIsNotNone(adjuster)38 compensator=cv.detail.ExposureCompensator_createDefault(cv.detail.ExposureCompensator_NO)39 self.assertIsNotNone(compensator)40 compensator=cv.detail.ExposureCompensator_createDefault(cv.detail.ExposureCompensator_GAIN)41 self.assertIsNotNone(compensator)42 compensator=cv.detail.ExposureCompensator_createDefault(cv.detail.ExposureCompensator_GAIN_BLOCKS)43 self.assertIsNotNone(compensator)44 seam_finder = cv.detail.SeamFinder_createDefault(cv.detail.SeamFinder_NO)45 self.assertIsNotNone(seam_finder)46 seam_finder = cv.detail.SeamFinder_createDefault(cv.detail.SeamFinder_NO)47 self.assertIsNotNone(seam_finder)48 seam_finder = cv.detail.SeamFinder_createDefault(cv.detail.SeamFinder_VORONOI_SEAM)49 self.assertIsNotNone(seam_finder)50 seam_finder = cv.detail_GraphCutSeamFinder("COST_COLOR")51 self.assertIsNotNone(seam_finder)52 seam_finder = cv.detail_GraphCutSeamFinder("COST_COLOR_GRAD")53 self.assertIsNotNone(seam_finder)54 seam_finder = cv.detail_DpSeamFinder("COLOR")55 self.assertIsNotNone(seam_finder)56 seam_finder = cv.detail_DpSeamFinder("COLOR_GRAD")57 self.assertIsNotNone(seam_finder)58 blender = cv.detail.Blender_createDefault(cv.detail.Blender_NO)59 self.assertIsNotNone(blender)60 blender = cv.detail.Blender_createDefault(cv.detail.Blender_FEATHER)61 self.assertIsNotNone(blender)62 blender = cv.detail.Blender_createDefault(cv.detail.Blender_MULTI_BAND)63 self.assertIsNotNone(blender)64 timelapser = cv.detail.Timelapser_createDefault(cv.detail.Timelapser_AS_IS);65 self.assertIsNotNone(timelapser)66 timelapser = cv.detail.Timelapser_createDefault(cv.detail.Timelapser_CROP);67 self.assertIsNotNone(timelapser)68if __name__ == '__main__':...

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