331 lines
12 KiB
Python
331 lines
12 KiB
Python
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# -*- coding: utf-8 -*-
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# imageio is distributed under the terms of the (new) BSD License.
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""" Plugin for multi-image freeimafe formats, like animated GIF and ico.
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"""
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import logging
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import numpy as np
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from .. import formats
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from ..core import Format, image_as_uint
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from ._freeimage import fi, IO_FLAGS
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from .freeimage import FreeimageFormat
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logger = logging.getLogger(__name__)
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class FreeimageMulti(FreeimageFormat):
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""" Base class for freeimage formats that support multiple images.
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"""
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_modes = "iI"
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_fif = -1
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class Reader(Format.Reader):
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def _open(self, flags=0):
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flags = int(flags)
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# Create bitmap
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self._bm = fi.create_multipage_bitmap(
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self.request.filename, self.format.fif, flags
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)
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self._bm.load_from_filename(self.request.get_local_filename())
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def _close(self):
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self._bm.close()
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def _get_length(self):
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return len(self._bm)
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def _get_data(self, index):
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sub = self._bm.get_page(index)
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try:
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return sub.get_image_data(), sub.get_meta_data()
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finally:
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sub.close()
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def _get_meta_data(self, index):
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index = index or 0
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if index < 0 or index >= len(self._bm):
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raise IndexError()
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sub = self._bm.get_page(index)
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try:
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return sub.get_meta_data()
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finally:
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sub.close()
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# --
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class Writer(FreeimageFormat.Writer):
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def _open(self, flags=0):
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# Set flags
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self._flags = flags = int(flags)
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# Instantiate multi-page bitmap
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self._bm = fi.create_multipage_bitmap(
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self.request.filename, self.format.fif, flags
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)
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self._bm.save_to_filename(self.request.get_local_filename())
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def _close(self):
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# Close bitmap
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self._bm.close()
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def _append_data(self, im, meta):
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# Prepare data
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if im.ndim == 3 and im.shape[-1] == 1:
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im = im[:, :, 0]
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im = image_as_uint(im, bitdepth=8)
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# Create sub bitmap
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sub1 = fi.create_bitmap(self._bm._filename, self.format.fif)
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# Let subclass add data to bitmap, optionally return new
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sub2 = self._append_bitmap(im, meta, sub1)
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# Add
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self._bm.append_bitmap(sub2)
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sub2.close()
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if sub1 is not sub2:
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sub1.close()
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def _append_bitmap(self, im, meta, bitmap):
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# Set data
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bitmap.allocate(im)
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bitmap.set_image_data(im)
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bitmap.set_meta_data(meta)
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# Return that same bitmap
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return bitmap
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def _set_meta_data(self, meta):
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pass # ignore global meta data
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class MngFormat(FreeimageMulti):
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""" An Mng format based on the Freeimage library.
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Read only. Seems broken.
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"""
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_fif = 6
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def _can_write(self, request): # pragma: no cover
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return False
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class IcoFormat(FreeimageMulti):
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""" An ICO format based on the Freeimage library.
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This format supports grayscale, RGB and RGBA images.
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The freeimage plugin requires a `freeimage` binary. If this binary
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is not available on the system, it can be downloaded by either
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- the command line script ``imageio_download_bin freeimage``
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- the Python method ``imageio.plugins.freeimage.download()``
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Parameters for reading
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----------------------
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makealpha : bool
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Convert to 32-bit and create an alpha channel from the AND-
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mask when loading. Default False. Note that this returns wrong
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results if the image was already RGBA.
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"""
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_fif = 1
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class Reader(FreeimageMulti.Reader):
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def _open(self, flags=0, makealpha=False):
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# Build flags from kwargs
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flags = int(flags)
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if makealpha:
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flags |= IO_FLAGS.ICO_MAKEALPHA
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return FreeimageMulti.Reader._open(self, flags)
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class GifFormat(FreeimageMulti):
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""" A format for reading and writing static and animated GIF, based
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on the Freeimage library.
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Images read with this format are always RGBA. Currently,
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the alpha channel is ignored when saving RGB images with this
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format.
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The freeimage plugin requires a `freeimage` binary. If this binary
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is not available on the system, it can be downloaded by either
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- the command line script ``imageio_download_bin freeimage``
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- the Python method ``imageio.plugins.freeimage.download()``
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Parameters for reading
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----------------------
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playback : bool
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'Play' the GIF to generate each frame (as 32bpp) instead of
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returning raw frame data when loading. Default True.
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Parameters for saving
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---------------------
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loop : int
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The number of iterations. Default 0 (meaning loop indefinitely)
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duration : {float, list}
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The duration (in seconds) of each frame. Either specify one value
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that is used for all frames, or one value for each frame.
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Note that in the GIF format the duration/delay is expressed in
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hundredths of a second, which limits the precision of the duration.
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fps : float
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The number of frames per second. If duration is not given, the
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duration for each frame is set to 1/fps. Default 10.
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palettesize : int
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The number of colors to quantize the image to. Is rounded to
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the nearest power of two. Default 256.
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quantizer : {'wu', 'nq'}
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The quantization algorithm:
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* wu - Wu, Xiaolin, Efficient Statistical Computations for
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Optimal Color Quantization
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* nq (neuqant) - Dekker A. H., Kohonen neural networks for
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optimal color quantization
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subrectangles : bool
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If True, will try and optimize the GIF by storing only the
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rectangular parts of each frame that change with respect to the
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previous. Unfortunately, this option seems currently broken
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because FreeImage does not handle DisposalMethod correctly.
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Default False.
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"""
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_fif = 25
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class Reader(FreeimageMulti.Reader):
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def _open(self, flags=0, playback=True):
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# Build flags from kwargs
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flags = int(flags)
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if playback:
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flags |= IO_FLAGS.GIF_PLAYBACK
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FreeimageMulti.Reader._open(self, flags)
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def _get_data(self, index):
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im, meta = FreeimageMulti.Reader._get_data(self, index)
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# im = im[:, :, :3] # Drop alpha channel
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return im, meta
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# -- writer
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class Writer(FreeimageMulti.Writer):
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# todo: subrectangles
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# todo: global palette
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def _open(
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self,
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flags=0,
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loop=0,
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duration=None,
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fps=10,
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palettesize=256,
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quantizer="Wu",
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subrectangles=False,
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):
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# Check palettesize
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if palettesize < 2 or palettesize > 256:
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raise ValueError("GIF quantize param must be 2..256")
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if palettesize not in [2, 4, 8, 16, 32, 64, 128, 256]:
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palettesize = 2 ** int(np.log2(128) + 0.999)
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logger.warning(
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"Warning: palettesize (%r) modified to a factor of "
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"two between 2-256." % palettesize
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)
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self._palettesize = palettesize
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# Check quantizer
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self._quantizer = {"wu": 0, "nq": 1}.get(quantizer.lower(), None)
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if self._quantizer is None:
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raise ValueError('Invalid quantizer, must be "wu" or "nq".')
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# Check frametime
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if duration is None:
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self._frametime = [int(1000 / float(fps) + 0.5)]
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elif isinstance(duration, list):
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self._frametime = [int(1000 * d) for d in duration]
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elif isinstance(duration, (float, int)):
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self._frametime = [int(1000 * duration)]
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else:
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raise ValueError("Invalid value for duration: %r" % duration)
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# Check subrectangles
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self._subrectangles = bool(subrectangles)
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self._prev_im = None
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# Init
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FreeimageMulti.Writer._open(self, flags)
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# Set global meta data
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self._meta = {}
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self._meta["ANIMATION"] = {
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# 'GlobalPalette': np.array([0]).astype(np.uint8),
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"Loop": np.array([loop]).astype(np.uint32),
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# 'LogicalWidth': np.array([x]).astype(np.uint16),
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# 'LogicalHeight': np.array([x]).astype(np.uint16),
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}
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def _append_bitmap(self, im, meta, bitmap):
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# Prepare meta data
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meta = meta.copy()
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meta_a = meta["ANIMATION"] = {}
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# If this is the first frame, assign it our "global" meta data
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if len(self._bm) == 0:
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meta.update(self._meta)
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meta_a = meta["ANIMATION"]
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# Set frame time
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index = len(self._bm)
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if index < len(self._frametime):
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ft = self._frametime[index]
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else:
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ft = self._frametime[-1]
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meta_a["FrameTime"] = np.array([ft]).astype(np.uint32)
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# Check array
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if im.ndim == 3 and im.shape[-1] == 4:
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im = im[:, :, :3]
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# Process subrectangles
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im_uncropped = im
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if self._subrectangles and self._prev_im is not None:
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im, xy = self._get_sub_rectangles(self._prev_im, im)
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meta_a["DisposalMethod"] = np.array([1]).astype(np.uint8)
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meta_a["FrameLeft"] = np.array([xy[0]]).astype(np.uint16)
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meta_a["FrameTop"] = np.array([xy[1]]).astype(np.uint16)
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self._prev_im = im_uncropped
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# Set image data
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sub2 = sub1 = bitmap
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sub1.allocate(im)
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sub1.set_image_data(im)
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# Quantize it if its RGB
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if im.ndim == 3 and im.shape[-1] == 3:
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sub2 = sub1.quantize(self._quantizer, self._palettesize)
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# If single image, omit animation data
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if self.request.mode[1] == "i":
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del meta["ANIMATION"]
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# Set meta data and return
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sub2.set_meta_data(meta)
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return sub2
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def _get_sub_rectangles(self, prev, im):
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"""
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Calculate the minimal rectangles that need updating each frame.
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Returns a two-element tuple containing the cropped images and a
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list of x-y positions.
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"""
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# Get difference, sum over colors
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diff = np.abs(im - prev)
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if diff.ndim == 3:
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diff = diff.sum(2)
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# Get begin and end for both dimensions
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X = np.argwhere(diff.sum(0))
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Y = np.argwhere(diff.sum(1))
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# Get rect coordinates
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if X.size and Y.size:
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x0, x1 = int(X[0]), int(X[-1]) + 1
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y0, y1 = int(Y[0]), int(Y[-1]) + 1
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else: # No change ... make it minimal
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x0, x1 = 0, 2
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y0, y1 = 0, 2
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# Cut out and return
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return im[y0:y1, x0:x1], (x0, y0)
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# formats.add_format(MngFormat('MNG', 'Multiple network graphics',
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# '.mng', 'iI'))
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formats.add_format(IcoFormat("ICO-FI", "Windows icon", ".ico", "iI"))
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formats.add_format(
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GifFormat("GIF-FI", "Static and animated gif (FreeImage)", ".gif", "iI")
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)
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