Python preprocessor.ssd_random_crop方法代碼示例

本文整理匯總了Python中object_detection.core.preprocessor.ssd_random_crop方法的典型用法代碼示例。如果您正苦於以下問題：Python preprocessor.ssd_random_crop方法的具體用法？Python preprocessor.ssd_random_crop怎麽用？Python preprocessor.ssd_random_crop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.ssd_random_crop方法的7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: testSSDRandomCrop

# 需要導入模塊: from object_detection.core import preprocessor [as 別名]
# 或者: from object_detection.core.preprocessor import ssd_random_crop [as 別名]
def testSSDRandomCrop(self):
    preprocessing_options = [
        (preprocessor.normalize_image, {
            'original_minval': 0,
            'original_maxval': 255,
            'target_minval': 0,
            'target_maxval': 1
        }),
        (preprocessor.ssd_random_crop, {})]
    images = self.createTestImages()
    boxes = self.createTestBoxes()
    labels = self.createTestLabels()
    tensor_dict = {fields.InputDataFields.image: images,
                   fields.InputDataFields.groundtruth_boxes: boxes,
                   fields.InputDataFields.groundtruth_classes: labels}
    distorted_tensor_dict = preprocessor.preprocess(tensor_dict,
                                                    preprocessing_options)
    distorted_images = distorted_tensor_dict[fields.InputDataFields.image]
    distorted_boxes = distorted_tensor_dict[
        fields.InputDataFields.groundtruth_boxes]

    images_rank = tf.rank(images)
    distorted_images_rank = tf.rank(distorted_images)
    boxes_rank = tf.rank(boxes)
    distorted_boxes_rank = tf.rank(distorted_boxes)

    with self.test_session() as sess:
      (boxes_rank_, distorted_boxes_rank_, images_rank_,
       distorted_images_rank_) = sess.run(
           [boxes_rank, distorted_boxes_rank, images_rank,
            distorted_images_rank])
      self.assertAllEqual(boxes_rank_, distorted_boxes_rank_)
      self.assertAllEqual(images_rank_, distorted_images_rank_)

開發者ID:ringringyi，項目名稱:DOTA_models，代碼行數:35，代碼來源:preprocessor_test.py

示例2: test_build_ssd_random_crop

# 需要導入模塊: from object_detection.core import preprocessor [as 別名]
# 或者: from object_detection.core.preprocessor import ssd_random_crop [as 別名]
def test_build_ssd_random_crop(self):
    preprocessor_text_proto = """
    ssd_random_crop {
      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
      }
      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
      }
    }
    """
    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, {'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]})

開發者ID:ringringyi，項目名稱:DOTA_models，代碼行數:34，代碼來源:preprocessor_builder_test.py

示例3: test_build_ssd_random_crop_empty_operations

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

開發者ID:ringringyi，項目名稱:DOTA_models，代碼行數:12，代碼來源:preprocessor_builder_test.py

示例4: testSSDRandomCropWithCache

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

開發者ID:ahmetozlu，項目名稱:vehicle_counting_tensorflow，代碼行數:15，代碼來源:preprocessor_test.py

示例5: testSSDRandomCrop

# 需要導入模塊: from object_detection.core import preprocessor [as 別名]
# 或者: from object_detection.core.preprocessor import ssd_random_crop [as 別名]
def testSSDRandomCrop(self):
    preprocessing_options = [
        (preprocessor.normalize_image, {
            'original_minval': 0,
            'original_maxval': 255,
            'target_minval': 0,
            'target_maxval': 1
        }),
        (preprocessor.ssd_random_crop, {})]
    images = self.createTestImages()
    boxes = self.createTestBoxes()
    labels = self.createTestLabels()
    weights = self.createTestGroundtruthWeights()
    tensor_dict = {
        fields.InputDataFields.image: images,
        fields.InputDataFields.groundtruth_boxes: boxes,
        fields.InputDataFields.groundtruth_classes: labels,
        fields.InputDataFields.groundtruth_weights: weights,
    }
    distorted_tensor_dict = preprocessor.preprocess(tensor_dict,
                                                    preprocessing_options)
    distorted_images = distorted_tensor_dict[fields.InputDataFields.image]
    distorted_boxes = distorted_tensor_dict[
        fields.InputDataFields.groundtruth_boxes]

    images_rank = tf.rank(images)
    distorted_images_rank = tf.rank(distorted_images)
    boxes_rank = tf.rank(boxes)
    distorted_boxes_rank = tf.rank(distorted_boxes)

    with self.test_session() as sess:
      (boxes_rank_, distorted_boxes_rank_, images_rank_,
       distorted_images_rank_) = sess.run(
           [boxes_rank, distorted_boxes_rank, images_rank,
            distorted_images_rank])
      self.assertAllEqual(boxes_rank_, distorted_boxes_rank_)
      self.assertAllEqual(images_rank_, distorted_images_rank_)

開發者ID:ahmetozlu，項目名稱:vehicle_counting_tensorflow，代碼行數:39，代碼來源:preprocessor_test.py

示例6: test_build_ssd_random_crop

# 需要導入模塊: from object_detection.core import preprocessor [as 別名]
# 或者: from object_detection.core.preprocessor import ssd_random_crop [as 別名]
def test_build_ssd_random_crop(self):
    preprocessor_text_proto = """
    ssd_random_crop {
      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
        clip_boxes: False
        random_coef: 0.375
      }
      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
        clip_boxes: True
        random_coef: 0.375
      }
    }
    """
    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, {'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],
                            'clip_boxes': [False, True],
                            'random_coef': [0.375, 0.375]})

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7: testSSDRandomCrop

# 需要導入模塊: from object_detection.core import preprocessor [as 別名]
# 或者: from object_detection.core.preprocessor import ssd_random_crop [as 別名]
def testSSDRandomCrop(self):
    preprocessing_options = [
        (preprocessor.normalize_image, {
            'original_minval': 0,
            'original_maxval': 255,
            'target_minval': 0,
            'target_maxval': 1
        }),
        (preprocessor.ssd_random_crop, {})]
    images = self.createTestImages()
    boxes = self.createTestBoxes()
    labels = self.createTestLabels()
    tensor_dict = {
        fields.InputDataFields.image: images,
        fields.InputDataFields.groundtruth_boxes: boxes,
        fields.InputDataFields.groundtruth_classes: labels,
    }
    distorted_tensor_dict = preprocessor.preprocess(tensor_dict,
                                                    preprocessing_options)
    distorted_images = distorted_tensor_dict[fields.InputDataFields.image]
    distorted_boxes = distorted_tensor_dict[
        fields.InputDataFields.groundtruth_boxes]

    images_rank = tf.rank(images)
    distorted_images_rank = tf.rank(distorted_images)
    boxes_rank = tf.rank(boxes)
    distorted_boxes_rank = tf.rank(distorted_boxes)

    with self.test_session() as sess:
      (boxes_rank_, distorted_boxes_rank_, images_rank_,
       distorted_images_rank_) = sess.run(
           [boxes_rank, distorted_boxes_rank, images_rank,
            distorted_images_rank])
      self.assertAllEqual(boxes_rank_, distorted_boxes_rank_)
      self.assertAllEqual(images_rank_, distorted_images_rank_)

開發者ID:cagbal，項目名稱:ros_people_object_detection_tensorflow，代碼行數:37，代碼來源:preprocessor_test.py

注：本文中的object_detection.core.preprocessor.ssd_random_crop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。