本文整理汇总了Python中thunder.rdds.fileio.imagesloader.ImagesLoader.toSeries方法的典型用法代码示例。如果您正苦于以下问题:Python ImagesLoader.toSeries方法的具体用法?Python ImagesLoader.toSeries怎么用?Python ImagesLoader.toSeries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.toSeries方法的7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_toSeriesWithPack
# 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 toSeries [as 别名]
def test_toSeriesWithPack(self):
ary = arange(8, dtype=dtype('int16')).reshape((2, 4))
image = ImagesLoader(self.sc).fromArrays(ary)
series = image.toSeries()
seriesvals = series.collect()
seriesary = series.pack()
seriesary_xpose = series.pack(transpose=True)
# check ordering of keys
assert_equals((0, 0), seriesvals[0][0]) # first key
assert_equals((1, 0), seriesvals[1][0]) # second key
assert_equals((0, 1), seriesvals[2][0])
assert_equals((1, 1), seriesvals[3][0])
assert_equals((0, 2), seriesvals[4][0])
assert_equals((1, 2), seriesvals[5][0])
assert_equals((0, 3), seriesvals[6][0])
assert_equals((1, 3), seriesvals[7][0])
# check dimensions tuple matches numpy shape
assert_equals(image.dims.count, series.dims.count)
assert_equals(ary.shape, series.dims.count)
# check that values are in Fortran-convention order
collectedvals = array([kv[1] for kv in seriesvals], dtype=dtype('int16')).ravel()
assert_true(array_equal(ary.ravel(order='F'), collectedvals))
# check that packing returns original array
assert_true(array_equal(ary, seriesary))
assert_true(array_equal(ary.T, seriesary_xpose))
示例2: test_fromStackToSeriesWithPack
# 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 toSeries [as 别名]
def test_fromStackToSeriesWithPack(self):
ary = arange(8, dtype=dtype('int16')).reshape((2, 4))
filename = os.path.join(self.outputdir, "test.stack")
ary.tofile(filename)
image = ImagesLoader(self.sc).fromStack(filename, dims=(4, 2))
series = image.toSeries()
seriesvals = series.collect()
seriesary = series.pack()
# check ordering of keys
assert_equals((0, 0), seriesvals[0][0]) # first key
assert_equals((1, 0), seriesvals[1][0]) # second key
assert_equals((2, 0), seriesvals[2][0])
assert_equals((3, 0), seriesvals[3][0])
assert_equals((0, 1), seriesvals[4][0])
assert_equals((1, 1), seriesvals[5][0])
assert_equals((2, 1), seriesvals[6][0])
assert_equals((3, 1), seriesvals[7][0])
# check dimensions tuple is reversed from numpy shape
assert_equals(ary.shape[::-1], series.dims.count)
# check that values are in original order
collectedvals = array([kv[1] for kv in seriesvals], dtype=dtype('int16')).ravel()
assert_true(array_equal(ary.ravel(), collectedvals))
# check that packing returns transpose of original array
assert_true(array_equal(ary.T, seriesary))
示例3: test_toSeriesWithInefficientSplitAndSortedPack
# 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 toSeries [as 别名]
def test_toSeriesWithInefficientSplitAndSortedPack(self):
ary = arange(8, dtype=dtype('int16')).reshape((4, 2))
image = ImagesLoader(self.sc).fromArrays(ary)
series = image.toSeries(splitsPerDim=(2, 1))
seriesvals = series.collect()
seriesary = series.pack(sorting=True)
# check ordering of keys
assert_equals((0, 0), seriesvals[0][0]) # first key
assert_equals((1, 0), seriesvals[1][0]) # second key
assert_equals((0, 1), seriesvals[2][0])
assert_equals((1, 1), seriesvals[3][0])
# end of first block
# beginning of second block
assert_equals((2, 0), seriesvals[4][0])
assert_equals((3, 0), seriesvals[5][0])
assert_equals((2, 1), seriesvals[6][0])
assert_equals((3, 1), seriesvals[7][0])
# check dimensions tuple matches numpy shape
assert_equals(ary.shape, series.dims.count)
# check that values are in expected order
collectedvals = array([kv[1] for kv in seriesvals], dtype=dtype('int16')).ravel()
assert_true(array_equal(ary[:2, :].ravel(order='F'), collectedvals[:4])) # first block
assert_true(array_equal(ary[2:4, :].ravel(order='F'), collectedvals[4:])) # second block
# check that packing returns original array (after sort)
assert_true(array_equal(ary, seriesary))
示例4: test_toSeriesDirect
# 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 toSeries [as 别名]
def test_toSeriesDirect(self):
# create 3 arrays of 4x3x3 images (C-order), containing sequential integers
narys = 3
arys, sh, sz = _generateTestArrays(narys)
imageData = ImagesLoader(self.sc).fromArrays(arys)
series = imageData.toSeries()
assert isinstance(series, Series)
示例5: test_toSeries
# 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 toSeries [as 别名]
def test_toSeries(self):
# create 3 arrays of 4x3x3 images (C-order), containing sequential integers
narys = 3
arys, sh, sz = _generate_test_arrays(narys)
imagedata = ImagesLoader(self.sc).fromArrays(arys)
series = imagedata.toSeries(groupingDim=0).collect()
self.evaluate_series(arys, series, sz)
示例6: test_roundtripConvertToSeries
# 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 toSeries [as 别名]
def test_roundtripConvertToSeries(self):
imagepath = TestImagesUsingOutputDir._findSourceTreeDir("utils/data/fish/tif-stack")
outdir = os.path.join(self.outputdir, "fish-series-dir")
images = ImagesLoader(self.sc).fromMultipageTif(imagepath)
series = images.toSeries(blockSize=76*20)
series_ary = series.pack()
images.saveAsBinarySeries(outdir, blockSize=76*20)
converted_series = SeriesLoader(self.sc).fromBinary(outdir)
converted_series_ary = converted_series.pack()
assert_equals((76, 87, 2), series.dims.count)
assert_equals((20, 76, 87, 2), series_ary.shape)
assert_true(array_equal(series_ary, converted_series_ary))
示例7: test_toSeriesBySlices
# 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 toSeries [as 别名]
def test_toSeriesBySlices(self):
narys = 3
arys, sh, sz = _generate_test_arrays(narys)
imagedata = ImagesLoader(self.sc).fromArrays(arys)
imagedata.cache()
test_params = [
(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 2, 1), (1, 2, 2), (1, 2, 3),
(1, 3, 1), (1, 3, 2), (1, 3, 3),
(2, 1, 1), (2, 1, 2), (2, 1, 3), (2, 2, 1), (2, 2, 2), (2, 2, 3),
(2, 3, 1), (2, 3, 2), (2, 3, 3)]
for bpd in test_params:
series = imagedata.toSeries(splitsPerDim=bpd).collect()
self.evaluate_series(arys, series, sz)