Python preprocessor.random_crop_pad_image方法代碼示例

本文整理匯總了Python中object_detection.core.preprocessor.random_crop_pad_image方法的典型用法代碼示例。如果您正苦於以下問題：Python preprocessor.random_crop_pad_image方法的具體用法？Python preprocessor.random_crop_pad_image怎麽用？Python preprocessor.random_crop_pad_image使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類object_detection.core.preprocessor的用法示例。

在下文中一共展示了preprocessor.random_crop_pad_image方法的6個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: test_build_random_crop_pad_image

# 需要導入模塊: from object_detection.core import preprocessor [as 別名]
# 或者: from object_detection.core.preprocessor import random_crop_pad_image [as 別名]
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
      clip_boxes: False
      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,
        'clip_boxes': False,
        'random_coef': 0.125,
    })

開發者ID:ahmetozlu，項目名稱:vehicle_counting_tensorflow，代碼行數:27，代碼來源:preprocessor_builder_test.py

示例2: test_build_random_crop_pad_image

# 需要導入模塊: from object_detection.core import preprocessor [as 別名]
# 或者: from object_detection.core.preprocessor import random_crop_pad_image [as 別名]
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,
    })

開發者ID:cagbal，項目名稱:ros_people_object_detection_tensorflow，代碼行數:25，代碼來源:preprocessor_builder_test.py

示例3: test_build_random_crop_pad_image

# 需要導入模塊: from object_detection.core import preprocessor [as 別名]
# 或者: from object_detection.core.preprocessor import random_crop_pad_image [as 別名]
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,
        'min_padded_size_ratio': None,
        'max_padded_size_ratio': None,
        'pad_color': None,
    })

開發者ID:ringringyi，項目名稱:DOTA_models，代碼行數:28，代碼來源:preprocessor_builder_test.py

示例4: testRandomCropPadImageWithCache

# 需要導入模塊: from object_detection.core import preprocessor [as 別名]
# 或者: from object_detection.core.preprocessor import random_crop_pad_image [as 別名]
def testRandomCropPadImageWithCache(self):
    preprocess_options = [(preprocessor.normalize_image, {
        'original_minval': 0,
        'original_maxval': 255,
        'target_minval': 0,
        'target_maxval': 1,}), (preprocessor.random_crop_pad_image, {})]
    self._testPreprocessorCache(preprocess_options,
                                test_boxes=True,
                                test_masks=True,
                                test_keypoints=True)

開發者ID:ahmetozlu，項目名稱:vehicle_counting_tensorflow，代碼行數:12，代碼來源:preprocessor_test.py

示例5: test_build_random_crop_pad_image_with_optional_parameters

# 需要導入模塊: from object_detection.core import preprocessor [as 別名]
# 或者: from object_detection.core.preprocessor import random_crop_pad_image [as 別名]
def test_build_random_crop_pad_image_with_optional_parameters(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
      clip_boxes: False
      random_coef: 0.125
      min_padded_size_ratio: 0.5
      min_padded_size_ratio: 0.75
      max_padded_size_ratio: 0.5
      max_padded_size_ratio: 0.75
      pad_color: 0.5
      pad_color: 0.5
      pad_color: 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.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,
        'clip_boxes': False,
        'random_coef': 0.125,
        'min_padded_size_ratio': (0.5, 0.75),
        'max_padded_size_ratio': (0.5, 0.75),
        'pad_color': (0.5, 0.5, 1.0)
    })

開發者ID:ahmetozlu，項目名稱:vehicle_counting_tensorflow，代碼行數:37，代碼來源:preprocessor_builder_test.py

示例6: test_build_random_crop_pad_image_with_optional_parameters

# 需要導入模塊: from object_detection.core import preprocessor [as 別名]
# 或者: from object_detection.core.preprocessor import random_crop_pad_image [as 別名]
def test_build_random_crop_pad_image_with_optional_parameters(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
      min_padded_size_ratio: 0.5
      min_padded_size_ratio: 0.75
      max_padded_size_ratio: 0.5
      max_padded_size_ratio: 0.75
      pad_color: 0.5
      pad_color: 0.5
      pad_color: 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.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,
        'min_padded_size_ratio': (0.5, 0.75),
        'max_padded_size_ratio': (0.5, 0.75),
        'pad_color': (0.5, 0.5, 1.0)
    })

開發者ID:cagbal，項目名稱:ros_people_object_detection_tensorflow，代碼行數:35，代碼來源:preprocessor_builder_test.py

注：本文中的object_detection.core.preprocessor.random_crop_pad_image方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台，相關代碼片段篩選自各路編程大神貢獻的開源項目，源碼版權歸原作者所有，傳播和使用請參考對應項目的License；未經允許，請勿轉載。