本文整理汇总了Python中object_detection.core.preprocessor.random_crop_pad_image方法的典型用法代码示例。如果您正苦于以下问题：Python preprocessor.random_crop_pad_image方法的具体用法？Python preprocessor.random_crop_pad_image怎么用？Python preprocessor.random_crop_pad_image使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类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个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_build_random_crop_pad_image
# 需要导入模块: from object_detection.core import preprocessor [as 别名]
# 或者: from object_detection.core.preprocessor import random_crop_pad_image [as 别名]
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,
}) 示例2: test_build_random_crop_pad_image
# 需要导入模块: from object_detection.core import preprocessor [as 别名]
# 或者: from object_detection.core.preprocessor import random_crop_pad_image [as 别名]
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,
}) 示例3: test_build_random_crop_pad_image
# 需要导入模块: from object_detection.core import preprocessor [as 别名]
# 或者: from object_detection.core.preprocessor import random_crop_pad_image [as 别名]
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,
}) 示例4: testRandomCropPadImageWithCache
# 需要导入模块: from object_detection.core import preprocessor [as 别名]
# 或者: from object_detection.core.preprocessor import random_crop_pad_image [as 别名]
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) 示例5: test_build_random_crop_pad_image_with_optional_parameters
# 需要导入模块: from object_detection.core import preprocessor [as 别名]
# 或者: from object_detection.core.preprocessor import random_crop_pad_image [as 别名]
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)
}) 示例6: test_build_random_crop_pad_image_with_optional_parameters
# 需要导入模块: from object_detection.core import preprocessor [as 别名]
# 或者: from object_detection.core.preprocessor import random_crop_pad_image [as 别名]
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)
})