- do_copy class attribute to force copy of ome
- more ome parts optional - reading closed file raises an error
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.gitignore
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.gitignore
vendored
@@ -6,3 +6,4 @@
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.idea
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/.pytest_cache/
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/ndbioimage/_version.py
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/ndbioimage/jars
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@@ -423,6 +423,7 @@ class Imread(np.lib.mixins.NDArrayOperatorsMixin, metaclass=ABCMeta):
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priority = 99
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do_not_pickle = 'base', 'copies', 'cache'
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do_not_copy = 'extrametadata'
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do_copy = 'ome'
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ureg = ureg
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@staticmethod
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@@ -472,6 +473,11 @@ class Imread(np.lib.mixins.NDArrayOperatorsMixin, metaclass=ABCMeta):
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else subclass.do_not_copy if hasattr(subclass, 'do_not_copy') else ()
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subclass.do_not_copy = set(do_not_copy).union(set(subclass_do_not_copy))
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do_copy = (cls.do_copy,) if isinstance(cls.do_copy, str) else cls.do_copy
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subclass_do_copy = (subclass.do_copy,) if isinstance(subclass.do_copy, str) \
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else subclass.do_copy if hasattr(subclass, 'do_copy') else ()
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subclass.do_copy = set(do_copy).union(set(subclass_do_copy))
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return super().__new__(subclass)
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@staticmethod
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@@ -519,13 +525,17 @@ class Imread(np.lib.mixins.NDArrayOperatorsMixin, metaclass=ABCMeta):
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self.open()
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# extract some metadata from ome
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instrument = self.ome.instruments[0]
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instrument = self.ome.instruments[0] if self.ome.instruments else None
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image = self.ome.images[0]
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pixels = image.pixels
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self.shape = pixels.size_x, pixels.size_y, pixels.size_c, pixels.size_z, pixels.size_t
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self.pxsize = pixels.physical_size_x_quantity
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try:
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self.exposuretime = tuple(find(image.pixels.planes, the_c=c).exposure_time_quantity
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for c in range(self.shape['c']))
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except AttributeError:
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self.exposuretime = ()
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if self.zstack:
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self.deltaz = image.pixels.physical_size_z_quantity
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self.deltaz_um = None if self.deltaz is None else self.deltaz.to(self.ureg.um).m
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@@ -535,16 +545,22 @@ class Imread(np.lib.mixins.NDArrayOperatorsMixin, metaclass=ABCMeta):
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self.objective = find(instrument.objectives, id=self.ome.images[0].objective_settings.id)
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else:
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self.objective = None
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try:
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t0 = find(image.pixels.planes, the_c=0, the_t=0, the_z=0).delta_t
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t1 = find(image.pixels.planes, the_c=0, the_t=self.shape['t'] - 1, the_z=0).delta_t
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self.timeinterval = (t1 - t0) / (self.shape['t'] - 1) if self.shape['t'] > 1 else None
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except AttributeError:
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self.timeinterval = None
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try:
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self.binning = [int(i) for i in image.pixels.channels[0].detector_settings.binning.value.split('x')]
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self.pxsize *= self.binning[0]
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except (Exception,):
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except (AttributeError, IndexError):
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self.binning = None
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self.cnamelist = [channel.name for channel in image.pixels.channels]
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try:
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optovars = [objective for objective in instrument.objectives if 'tubelens' in objective.id.lower()]
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except AttributeError:
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optovars = []
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if len(optovars) == 0:
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self.tubelens = None
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else:
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@@ -607,7 +623,7 @@ class Imread(np.lib.mixins.NDArrayOperatorsMixin, metaclass=ABCMeta):
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try:
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sigma = []
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for c, d in enumerate(self.detector):
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emission = np.hstack(self.laserwavelengths[c]) + 22 * ureg.nm
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emission = (np.hstack(self.laserwavelengths[c]) + 22) * ureg.nm
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sigma.append([emission[emission > s].max(initial=0), emission[emission < s].max(initial=0)][d])
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sigma = np.hstack(sigma)
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sigma[sigma == 0] = 600 * ureg.nm
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@@ -705,7 +721,7 @@ class Imread(np.lib.mixins.NDArrayOperatorsMixin, metaclass=ABCMeta):
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s.append(f'pixel size: {1000 * self.pxsize_um:.2f} nm')
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if self.zstack and self.deltaz_um:
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s.append(f'z-interval: {1000 * self.deltaz_um:.2f} nm')
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if self.exposuretime_s[0]:
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if self.exposuretime_s:
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s.append(f'exposuretime: {self.exposuretime_s[0]:.2f} s')
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if self.timeseries and self.timeinterval:
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s.append(f'time interval: {self.timeinterval:.3f} s')
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@@ -749,6 +765,8 @@ class Imread(np.lib.mixins.NDArrayOperatorsMixin, metaclass=ABCMeta):
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def __getitem__(self, n):
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""" slice like a numpy array but return an Imread instance """
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if self.isclosed:
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raise IOError("file is closed")
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if isinstance(n, (slice, Number)): # None = :
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n = (n,)
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elif isinstance(n, type(Ellipsis)):
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@@ -872,7 +890,7 @@ class Imread(np.lib.mixins.NDArrayOperatorsMixin, metaclass=ABCMeta):
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new.copies = []
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new.base = self
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for key, value in self.__dict__.items():
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if key not in self.do_not_copy and not hasattr(new, key):
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if key in self.do_copy or (key not in self.do_not_copy and not hasattr(new, key)):
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new.__dict__[key] = value
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self.copies.append(new)
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return new
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@@ -1,2 +1,3 @@
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from pathlib import Path
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__all__ = [file.stem for file in Path(__file__).parent.iterdir() if file.suffix == ".py" and not file == Path(__file__)]
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__all__ = [file.stem for file in Path(__file__).parent.iterdir()
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if file.suffix == ".py" and not file == Path(__file__) and not file.stem.startswith('.')]
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@@ -14,6 +14,7 @@ class JVMReader:
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if not bf_jar.exists():
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print('Downloading bioformats_package.jar.')
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url = 'https://downloads.openmicroscopy.org/bio-formats/latest/artifacts/bioformats_package.jar'
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bf_jar.parent.mkdir(exist_ok=True)
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bf_jar.write_bytes(request.urlopen(url).read())
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mp = multiprocessing.get_context('spawn')
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@@ -1,6 +1,6 @@
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[tool.poetry]
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name = "ndbioimage"
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version = "2023.7.1"
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version = "2023.7.2"
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description = "Bio image reading, metadata and some affine registration."
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authors = ["W. Pomp <w.pomp@nki.nl>"]
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license = "GPLv3"
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@@ -8,6 +8,7 @@ readme = "README.md"
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keywords = ["bioformats", "imread", "numpy", "metadata"]
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include = ["transform.txt"]
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repository = "https://github.com/wimpomp/ndbioimage"
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exclude = [ "ndbioimage/jars" ]
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[tool.poetry.dependencies]
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python = "^3.8"
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