def test_build_ssd_random_crop_empty_operations(self): preprocessor_text_proto = """ ssd_random_crop { } """ preprocessor_proto = preprocessor_pb2.PreprocessingStep() text_format.Merge(preprocessor_text_proto, preprocessor_proto) function, args = preprocessor_builder.build(preprocessor_proto) self.assertEqual(function, preprocessor.ssd_random_crop) self.assertEqual(args, {})
def test_build_scale_boxes_to_pixel_coordinates(self): preprocessor_text_proto = """ scale_boxes_to_pixel_coordinates {} """ preprocessor_proto = preprocessor_pb2.PreprocessingStep() text_format.Merge(preprocessor_text_proto, preprocessor_proto) function, args = preprocessor_builder.build(preprocessor_proto) self.assertEqual(function, preprocessor.scale_boxes_to_pixel_coordinates) self.assertEqual(args, {})
def test_build_random_jitter_boxes(self): preprocessor_text_proto = """ random_jitter_boxes { ratio: 0.1 } """ preprocessor_proto = preprocessor_pb2.PreprocessingStep() text_format.Merge(preprocessor_text_proto, preprocessor_proto) function, args = preprocessor_builder.build(preprocessor_proto) self.assertEqual(function, preprocessor.random_jitter_boxes) self.assert_dictionary_close(args, {'ratio': 0.1})
def test_build_random_distort_color(self): preprocessor_text_proto = """ random_distort_color { color_ordering: 1 } """ preprocessor_proto = preprocessor_pb2.PreprocessingStep() text_format.Merge(preprocessor_text_proto, preprocessor_proto) function, args = preprocessor_builder.build(preprocessor_proto) self.assertEqual(function, preprocessor.random_distort_color) self.assertEqual(args, {'color_ordering': 1})
def test_build_random_adjust_hue(self): preprocessor_text_proto = """ random_adjust_hue { max_delta: 0.01 } """ preprocessor_proto = preprocessor_pb2.PreprocessingStep() text_format.Merge(preprocessor_text_proto, preprocessor_proto) function, args = preprocessor_builder.build(preprocessor_proto) self.assertEqual(function, preprocessor.random_adjust_hue) self.assert_dictionary_close(args, {'max_delta': 0.01})
def test_build_random_rgb_to_gray(self): preprocessor_text_proto = """ random_rgb_to_gray { probability: 0.8 } """ preprocessor_proto = preprocessor_pb2.PreprocessingStep() text_format.Merge(preprocessor_text_proto, preprocessor_proto) function, args = preprocessor_builder.build(preprocessor_proto) self.assertEqual(function, preprocessor.random_rgb_to_gray) self.assert_dictionary_close(args, {'probability': 0.8})
def test_build_subtract_channel_mean(self): preprocessor_text_proto = """ subtract_channel_mean { means: [1.0, 2.0, 3.0] } """ preprocessor_proto = preprocessor_pb2.PreprocessingStep() text_format.Merge(preprocessor_text_proto, preprocessor_proto) function, args = preprocessor_builder.build(preprocessor_proto) self.assertEqual(function, preprocessor.subtract_channel_mean) self.assertEqual(args, {'means': [1.0, 2.0, 3.0]})
def test_build_random_resize_method(self): preprocessor_text_proto = """ random_resize_method { target_height: 75 target_width: 100 } """ preprocessor_proto = preprocessor_pb2.PreprocessingStep() text_format.Merge(preprocessor_text_proto, preprocessor_proto) function, args = preprocessor_builder.build(preprocessor_proto) self.assertEqual(function, preprocessor.random_resize_method) self.assert_dictionary_close(args, {'target_size': [75, 100]})
def test_build_random_pixel_value_scale(self): preprocessor_text_proto = """ random_pixel_value_scale { minval: 0.8 maxval: 1.2 } """ preprocessor_proto = preprocessor_pb2.PreprocessingStep() text_format.Merge(preprocessor_text_proto, preprocessor_proto) function, args = preprocessor_builder.build(preprocessor_proto) self.assertEqual(function, preprocessor.random_pixel_value_scale) self.assert_dictionary_close(args, {'minval': 0.8, 'maxval': 1.2})
def test_build_random_pad_image(self): preprocessor_text_proto = """ random_pad_image { } """ preprocessor_proto = preprocessor_pb2.PreprocessingStep() text_format.Merge(preprocessor_text_proto, preprocessor_proto) function, args = preprocessor_builder.build(preprocessor_proto) self.assertEqual(function, preprocessor.random_pad_image) self.assertEqual(args, { 'min_image_size': None, 'max_image_size': None, 'pad_color': None, })
def test_build_random_crop_to_aspect_ratio(self): preprocessor_text_proto = """ random_crop_to_aspect_ratio { aspect_ratio: 0.85 overlap_thresh: 0.35 } """ preprocessor_proto = preprocessor_pb2.PreprocessingStep() text_format.Merge(preprocessor_text_proto, preprocessor_proto) function, args = preprocessor_builder.build(preprocessor_proto) self.assertEqual(function, preprocessor.random_crop_to_aspect_ratio) self.assert_dictionary_close(args, { 'aspect_ratio': 0.85, 'overlap_thresh': 0.35 })
def test_build_random_adjust_saturation(self): preprocessor_text_proto = """ random_adjust_saturation { min_delta: 0.75 max_delta: 1.15 } """ preprocessor_proto = preprocessor_pb2.PreprocessingStep() text_format.Merge(preprocessor_text_proto, preprocessor_proto) function, args = preprocessor_builder.build(preprocessor_proto) self.assertEqual(function, preprocessor.random_adjust_saturation) self.assert_dictionary_close(args, { 'min_delta': 0.75, 'max_delta': 1.15 })
def test_build_ssd_random_crop_pad(self): preprocessor_text_proto = """ ssd_random_crop_pad { operations { min_object_covered: 0.0 min_aspect_ratio: 0.875 max_aspect_ratio: 1.125 min_area: 0.5 max_area: 1.0 overlap_thresh: 0.0 random_coef: 0.375 min_padded_size_ratio: [1.0, 1.0] max_padded_size_ratio: [2.0, 2.0] pad_color_r: 0.5 pad_color_g: 0.5 pad_color_b: 0.5 } operations { min_object_covered: 0.25 min_aspect_ratio: 0.75 max_aspect_ratio: 1.5 min_area: 0.5 max_area: 1.0 overlap_thresh: 0.25 random_coef: 0.375 min_padded_size_ratio: [1.0, 1.0] max_padded_size_ratio: [2.0, 2.0] pad_color_r: 0.5 pad_color_g: 0.5 pad_color_b: 0.5 } } """ preprocessor_proto = preprocessor_pb2.PreprocessingStep() text_format.Merge(preprocessor_text_proto, preprocessor_proto) function, args = preprocessor_builder.build(preprocessor_proto) self.assertEqual(function, preprocessor.ssd_random_crop_pad) self.assertEqual( args, { 'min_object_covered': [0.0, 0.25], 'aspect_ratio_range': [(0.875, 1.125), (0.75, 1.5)], 'area_range': [(0.5, 1.0), (0.5, 1.0)], 'overlap_thresh': [0.0, 0.25], 'random_coef': [0.375, 0.375], 'min_padded_size_ratio': [(1.0, 1.0), (1.0, 1.0)], 'max_padded_size_ratio': [(2.0, 2.0), (2.0, 2.0)], 'pad_color': [(0.5, 0.5, 0.5), (0.5, 0.5, 0.5)] })
def test_build_random_vertical_flip(self): preprocessor_text_proto = """ random_vertical_flip { keypoint_flip_permutation: 1 keypoint_flip_permutation: 0 keypoint_flip_permutation: 2 keypoint_flip_permutation: 3 keypoint_flip_permutation: 5 keypoint_flip_permutation: 4 } """ preprocessor_proto = preprocessor_pb2.PreprocessingStep() text_format.Merge(preprocessor_text_proto, preprocessor_proto) function, args = preprocessor_builder.build(preprocessor_proto) self.assertEqual(function, preprocessor.random_vertical_flip) self.assertEqual(args, {'keypoint_flip_permutation': (1, 0, 2, 3, 5, 4)})
def test_build_random_black_patches(self): preprocessor_text_proto = """ random_black_patches { max_black_patches: 20 probability: 0.95 size_to_image_ratio: 0.12 } """ preprocessor_proto = preprocessor_pb2.PreprocessingStep() text_format.Merge(preprocessor_text_proto, preprocessor_proto) function, args = preprocessor_builder.build(preprocessor_proto) self.assertEqual(function, preprocessor.random_black_patches) self.assert_dictionary_close( args, { 'max_black_patches': 20, 'probability': 0.95, 'size_to_image_ratio': 0.12 })
def test_build_resize_image(self): preprocessor_text_proto = """ resize_image { new_height: 75 new_width: 100 method: BICUBIC } """ preprocessor_proto = preprocessor_pb2.PreprocessingStep() text_format.Merge(preprocessor_text_proto, preprocessor_proto) function, args = preprocessor_builder.build(preprocessor_proto) self.assertEqual(function, preprocessor.resize_image) self.assertEqual( args, { 'new_height': 75, 'new_width': 100, 'method': tf.image.ResizeMethod.BICUBIC })
def test_build_normalize_image(self): preprocessor_text_proto = """ normalize_image { original_minval: 0.0 original_maxval: 255.0 target_minval: -1.0 target_maxval: 1.0 } """ preprocessor_proto = preprocessor_pb2.PreprocessingStep() text_format.Merge(preprocessor_text_proto, preprocessor_proto) function, args = preprocessor_builder.build(preprocessor_proto) self.assertEqual(function, preprocessor.normalize_image) self.assertEqual( args, { 'original_minval': 0.0, 'original_maxval': 255.0, 'target_minval': -1.0, 'target_maxval': 1.0, })
def test_build_random_crop_pad_image(self): preprocessor_text_proto = """ random_crop_pad_image { min_object_covered: 0.75 min_aspect_ratio: 0.75 max_aspect_ratio: 1.5 min_area: 0.25 max_area: 0.875 overlap_thresh: 0.5 random_coef: 0.125 } """ preprocessor_proto = preprocessor_pb2.PreprocessingStep() text_format.Merge(preprocessor_text_proto, preprocessor_proto) function, args = preprocessor_builder.build(preprocessor_proto) self.assertEqual(function, preprocessor.random_crop_pad_image) self.assertEqual( args, { 'min_object_covered': 0.75, 'aspect_ratio_range': (0.75, 1.5), 'area_range': (0.25, 0.875), 'overlap_thresh': 0.5, 'random_coef': 0.125, })