from io import BytesIO import numpy as np import six from skimage.io.manage_plugins import call_plugin from skimage.color import rgb2grey from .util import file_or_url_context __all__ = ['Image', 'imread', 'imread_collection', 'imsave', 'imshow', 'show'] class Image(np.ndarray): """Class representing Image data. These objects have tags for image metadata and IPython display protocol methods for image display. Parameters ---------- arr : ndarray Image data. kwargs : Image tags as keywords Specified in the form ``tag0=value``, ``tag1=value``. Attributes ---------- tags : dict Meta-data. """ def __new__(cls, arr, **kwargs): """Set the image data and tags according to given parameters. """ x = np.asarray(arr).view(cls) x.tags = kwargs return x def __array_finalize__(self, obj): self.tags = getattr(obj, 'tags', {}) def _repr_png_(self): return self._repr_image_format('png') def _repr_jpeg_(self): return self._repr_image_format('jpeg') def _repr_image_format(self, format_str): str_buffer = BytesIO() imsave(str_buffer, self, format_str=format_str) return_str = str_buffer.getvalue() str_buffer.close() return return_str def imread(fname, as_grey=False, plugin=None, flatten=None, **plugin_args): """Load an image from file. Parameters ---------- fname : string Image file name, e.g. ``test.jpg`` or URL. as_grey : bool If True, convert color images to grey-scale (32-bit floats). Images that are already in grey-scale format are not converted. plugin : str Name of plugin to use (Python Imaging Library by default). Other Parameters ---------------- flatten : bool Backward compatible keyword, superseded by `as_grey`. Returns ------- img_array : ndarray The different colour bands/channels are stored in the third dimension, such that a grey-image is MxN, an RGB-image MxNx3 and an RGBA-image MxNx4. Other parameters ---------------- plugin_args : keywords Passed to the given plugin. """ # Backward compatibility if flatten is not None: as_grey = flatten with file_or_url_context(fname) as fname: img = call_plugin('imread', fname, plugin=plugin, **plugin_args) if as_grey and getattr(img, 'ndim', 0) >= 3: img = rgb2grey(img) return img def imread_collection(load_pattern, conserve_memory=True, plugin=None, **plugin_args): """ Load a collection of images. Parameters ---------- load_pattern : str or list List of objects to load. These are usually filenames, but may vary depending on the currently active plugin. See the docstring for ``ImageCollection`` for the default behaviour of this parameter. conserve_memory : bool, optional If True, never keep more than one in memory at a specific time. Otherwise, images will be cached once they are loaded. Returns ------- ic : ImageCollection Collection of images. Other parameters ---------------- plugin_args : keywords Passed to the given plugin. """ return call_plugin('imread_collection', load_pattern, conserve_memory, plugin=plugin, **plugin_args) def imsave(fname, arr, plugin=None, **plugin_args): """Save an image to file. Parameters ---------- fname : str Target filename. arr : ndarray of shape (M,N) or (M,N,3) or (M,N,4) Image data. plugin : str Name of plugin to use. By default, the different plugins are tried (starting with the Python Imaging Library) until a suitable candidate is found. Other parameters ---------------- plugin_args : keywords Passed to the given plugin. """ return call_plugin('imsave', fname, arr, plugin=plugin, **plugin_args) def imshow(arr, plugin=None, **plugin_args): """Display an image. Parameters ---------- arr : ndarray or str Image data or name of image file. plugin : str Name of plugin to use. By default, the different plugins are tried (starting with the Python Imaging Library) until a suitable candidate is found. Other parameters ---------------- plugin_args : keywords Passed to the given plugin. """ if isinstance(arr, six.string_types): arr = call_plugin('imread', arr, plugin=plugin) return call_plugin('imshow', arr, plugin=plugin, **plugin_args) def show(): '''Display pending images. Launch the event loop of the current gui plugin, and display all pending images, queued via `imshow`. This is required when using `imshow` from non-interactive scripts. A call to `show` will block execution of code until all windows have been closed. Examples -------- >>> import skimage.io as io >>> for i in range(4): ... io.imshow(np.random.rand(50, 50)) >>> io.show() # doctest: +SKIP ''' return call_plugin('_app_show')