本文整理汇总了Python中thunder.ThunderContext.loadImagesFromArray方法的典型用法代码示例。如果您正苦于以下问题：Python ThunderContext.loadImagesFromArray方法的具体用法？Python ThunderContext.loadImagesFromArray怎么用？Python ThunderContext.loadImagesFromArray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.ThunderContext的用法示例。
在下文中一共展示了ThunderContext.loadImagesFromArray方法的1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: TestContextLoading
# 需要导入模块: from thunder import ThunderContext [as 别名]
# 或者: from thunder.ThunderContext import loadImagesFromArray [as 别名]
#.........这里部分代码省略.........
del pilImg, tmpAry
rangeSeries = self.tsc.loadImagesAsSeries(self.outputdir, inputFormat="tif-stack")
assert_equals('float16', rangeSeries._dtype)
rangeSeriesAry = rangeSeries.pack()
rangeSeriesAry_xpose = rangeSeries.pack(transpose=True)
assert_equals((60, 120), rangeSeries.dims.count) # 2d tif now loaded as 2d image; was 3d with singleton z dim
assert_equals((2, 60, 120), rangeSeriesAry.shape)
assert_equals((2, 120, 60), rangeSeriesAry_xpose.shape)
assert_equals('float16', str(rangeSeriesAry.dtype))
assert_true(array_equal(rangeAry, rangeSeriesAry[0]))
assert_true(array_equal(rangeAry2, rangeSeriesAry[1]))
assert_true(array_equal(rangeAry.T, rangeSeriesAry_xpose[0]))
assert_true(array_equal(rangeAry2.T, rangeSeriesAry_xpose[1]))
@unittest.skipIf(not _have_image, "PIL/pillow not installed or not functional")
def test_loadMultipleMultipointTifsAsSeries(self):
testResourcesDir = TestContextLoading._findTestResourcesDir()
imagesPath = os.path.join(testResourcesDir, "multilayer_tif", "dotdotdot_lzw*.tif")
# load only one file, second is a copy of this one
testimg_pil = Image.open(os.path.join(testResourcesDir, "multilayer_tif", "dotdotdot_lzw.tif"))
testimg_arys = [array(testimg_pil)]
for idx in xrange(1, 3):
testimg_pil.seek(idx)
testimg_arys.append(array(testimg_pil))
rangeSeries = self.tsc.loadImagesAsSeries(imagesPath, inputFormat="tif-stack", nplanes=1)
assert_equals((70, 75), rangeSeries.dims.count)
rangeSeriesAry = rangeSeries.pack()
assert_equals((6, 70, 75), rangeSeriesAry.shape)
for idx in xrange(6):
assert_true(array_equal(testimg_arys[idx % 3], rangeSeriesAry[idx]))
@staticmethod
def _tempFileWithPaths(f, blob):
f.write(blob)
f.flush()
return f.name
def test_loadParams(self):
params = json.dumps({"name": "test1", "value": [1, 2, 3]})
f = tempfile.NamedTemporaryFile()
path = TestContextLoading._tempFileWithPaths(f, params)
d = self.tsc.loadParams(path)
assert(d.names() == ["test1"])
assert(array_equal(d.values(), [1, 2, 3]))
params = json.dumps([{"name": "test0", "value": [1, 2, 3]},
{"name": "test1", "value": [4, 5, 6]}])
f = tempfile.NamedTemporaryFile()
path = TestContextLoading._tempFileWithPaths(f, params)
d = self.tsc.loadParams(path)
assert(d.names() == ["test0", "test1"])
assert(array_equal(d.values(), [[1, 2, 3], [4, 5, 6]]))
assert(array_equal(d.values("test0"), [1, 2, 3]))
def test_loadSeriesFromArray(self):
target = array([[0, 1], [0, 2]])
d1 = self.tsc.loadSeriesFromArray([[0, 1], [0, 2]])
d2 = self.tsc.loadSeriesFromArray(array([[0, 1], [0, 2]]))
assert(array_equal(d1.collectValuesAsArray(), target))
assert(d1.keys().collect(), [(0,), (1,)])
assert(array_equal(d2.collectValuesAsArray(), target))
assert(d2.keys().collect(), [(0,), (1,)])
target = array([[0, 1]])
d1 = self.tsc.loadSeriesFromArray([0, 1])
d2 = self.tsc.loadSeriesFromArray(array([0, 1]))
assert(array_equal(d1.collectValuesAsArray(), target))
assert(d1.keys().collect(), [(0,)])
assert(array_equal(d2.collectValuesAsArray(), target))
assert(d2.keys().collect(), [(0,)])
def test_loadImagesFromArray(self):
target = array([[[0, 1], [0, 2]]])
d1 = self.tsc.loadImagesFromArray([[0, 1], [0, 2]])
d2 = self.tsc.loadImagesFromArray(array([[0, 1], [0, 2]]))
assert(array_equal(d1.collectValuesAsArray(), target))
assert(d1.keys().collect() == [0])
assert(array_equal(d2.collectValuesAsArray(), target))
assert(d2.keys().collect() == [0])
target = array([[[0, 1], [0, 2]], [[0, 1], [0, 2]]])
d1 = self.tsc.loadImagesFromArray([[[0, 1], [0, 2]], [[0, 1], [0, 2]]])
d2 = self.tsc.loadImagesFromArray(array([[[0, 1], [0, 2]], [[0, 1], [0, 2]]]))
assert(array_equal(d1.collectValuesAsArray(), target))
assert(d1.keys().collect() == [0, 1])
assert(array_equal(d2.collectValuesAsArray(), target))
assert(d2.keys().collect() == [0, 1])