本文整理汇总了Python中thunder.rdds.fileio.imagesloader.ImagesLoader.meanByRegions方法的典型用法代码示例。如果您正苦于以下问题：Python ImagesLoader.meanByRegions方法的具体用法？Python ImagesLoader.meanByRegions怎么用？Python ImagesLoader.meanByRegions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thunder.rdds.fileio.imagesloader.ImagesLoader的用法示例。
在下文中一共展示了ImagesLoader.meanByRegions方法的2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_meanWithSingleRegionIndices3D
# 需要导入模块: from thunder.rdds.fileio.imagesloader import ImagesLoader [as 别名]
# 或者: from thunder.rdds.fileio.imagesloader.ImagesLoader import meanByRegions [as 别名]
def test_meanWithSingleRegionIndices3D(self):
ary1 = array([[[3, 5, 3], [6, 8, 6]], [[3, 5, 3], [6, 8, 6]]], dtype="int32")
ary2 = array([[[13, 15, 13], [16, 18, 16]], [[13, 15, 13], [16, 18, 16]]], dtype="int32")
images = ImagesLoader(self.sc).fromArrays([ary1, ary2])
indices = [[(1, 1, 1), (0, 0, 0)]] # one region with two indices
regionMeanImages = images.meanByRegions(indices)
self.__checkAttrPropagation(regionMeanImages, (1, 1))
collected = regionMeanImages.collect()
# check values
assert_equals(5, collected[0][1][0])
assert_equals(15, collected[1][1][0])示例2: TestImagesMeanByRegions
# 需要导入模块: from thunder.rdds.fileio.imagesloader import ImagesLoader [as 别名]
# 或者: from thunder.rdds.fileio.imagesloader.ImagesLoader import meanByRegions [as 别名]
class TestImagesMeanByRegions(PySparkTestCase):
def setUp(self):
super(TestImagesMeanByRegions, self).setUp()
self.ary1 = array([[3, 5], [6, 8]], dtype="int32")
self.ary2 = array([[13, 15], [16, 18]], dtype="int32")
self.images = ImagesLoader(self.sc).fromArrays([self.ary1, self.ary2])
def __checkAttrPropagation(self, newImages, newDims):
assert_equals(newDims, newImages._dims.count)
assert_equals(self.images._nrecords, newImages._nrecords)
assert_equals(self.images._dtype, newImages._dtype)
def test_badMaskShapeThrowsValueError(self):
mask = array([[1]], dtype="int16")
assert_raises(ValueError, self.images.meanByRegions, mask)
def test_meanWithFloatMask(self):
mask = array([[1.0, 0.0], [0.0, 1.0]], dtype="float32")
regionMeanImages = self.images.meanByRegions(mask)
self.__checkAttrPropagation(regionMeanImages, (1, 1))
collected = regionMeanImages.collect()
assert_equals(2, len(collected))
assert_equals((1, 1), collected[0][1].shape)
# check keys
assert_equals(0, collected[0][0])
assert_equals(1, collected[1][0])
# check values
assert_equals(5, collected[0][1][0])
assert_equals(15, collected[1][1][0])
def test_meanWithIntMask(self):
mask = array([[1, 0], [2, 1]], dtype="uint8")
regionMeanImages = self.images.meanByRegions(mask)
self.__checkAttrPropagation(regionMeanImages, (1, 2))
collected = regionMeanImages.collect()
assert_equals(2, len(collected))
assert_equals((1, 2), collected[0][1].shape)
# check keys
assert_equals(0, collected[0][0])
assert_equals(1, collected[1][0])
# check values
assert_equals(5, collected[0][1].flat[0])
assert_equals(6, collected[0][1].flat[1])
assert_equals(15, collected[1][1].flat[0])
assert_equals(16, collected[1][1].flat[1])
def test_meanWithSingleRegionIndices(self):
indices = [[(1, 1), (0, 0)]] # one region with two indices
regionMeanImages = self.images.meanByRegions(indices)
self.__checkAttrPropagation(regionMeanImages, (1, 1))
collected = regionMeanImages.collect()
assert_equals(2, len(collected))
assert_equals((1, 1), collected[0][1].shape)
# check keys
assert_equals(0, collected[0][0])
assert_equals(1, collected[1][0])
# check values
assert_equals(5, collected[0][1][0])
assert_equals(15, collected[1][1][0])
def test_meanWithMultipleRegionIndices(self):
indices = [[(0, 0), (0, 1)], [(0, 1), (1, 0)]] # two regions with two indices each
regionMeanImages = self.images.meanByRegions(indices)
self.__checkAttrPropagation(regionMeanImages, (1, 2))
collected = regionMeanImages.collect()
assert_equals(2, len(collected))
assert_equals((1, 2), collected[0][1].shape)
# check keys
assert_equals(0, collected[0][0])
assert_equals(1, collected[1][0])
# check values
assert_equals(4, collected[0][1].flat[0])
assert_equals(5, collected[0][1].flat[1])
assert_equals(14, collected[1][1].flat[0])
assert_equals(15, collected[1][1].flat[1])
def test_badIndexesThrowErrors(self):
indices = [[(0, 0), (-1, 0)]] # index too small (-1)
assert_raises(ValueError, self.images.meanByRegions, indices)
indices = [[(0, 0), (2, 0)]] # index too large (2)
assert_raises(ValueError, self.images.meanByRegions, indices)
indices = [[(0, 0), (0,)]] # too few indices
assert_raises(ValueError, self.images.meanByRegions, indices)
indices = [[(0, 0), (0, 1, 0)]] # too many indices
assert_raises(ValueError, self.images.meanByRegions, indices)
def test_meanWithSingleRegionIndices3D(self):
ary1 = array([[[3, 5, 3], [6, 8, 6]], [[3, 5, 3], [6, 8, 6]]], dtype="int32")
ary2 = array([[[13, 15, 13], [16, 18, 16]], [[13, 15, 13], [16, 18, 16]]], dtype="int32")
images = ImagesLoader(self.sc).fromArrays([ary1, ary2])
indices = [[(1, 1, 1), (0, 0, 0)]] # one region with two indices
regionMeanImages = images.meanByRegions(indices)
self.__checkAttrPropagation(regionMeanImages, (1, 1))
collected = regionMeanImages.collect()
# check values
assert_equals(5, collected[0][1][0])
assert_equals(15, collected[1][1][0])