Source code for fastplotlib.graphics._features._image

from itertools import product

from math import ceil

import numpy as np

import pygfx
from ._base import GraphicFeature, FeatureEvent

from ...utils import (
    make_colors,
    get_cmap_texture,
)


# manages an array of 8192x8192 Textures representing chunks of an image
[docs] class TextureArray(GraphicFeature): def __init__(self, data, isolated_buffer: bool = True): super().__init__() data = self._fix_data(data) shared = pygfx.renderers.wgpu.get_shared() self._texture_limit_2d = shared.device.limits["max-texture-dimension-2d"] if isolated_buffer: # useful if data is read-only, example: memmaps self._value = np.zeros(data.shape, dtype=data.dtype) self.value[:] = data[:] else: # user's input array is used as the buffer self._value = data # data start indices for each Texture self._row_indices = np.arange( 0, ceil(self.value.shape[0] / self._texture_limit_2d) * self._texture_limit_2d, self._texture_limit_2d, ) self._col_indices = np.arange( 0, ceil(self.value.shape[1] / self._texture_limit_2d) * self._texture_limit_2d, self._texture_limit_2d, ) # buffer will be an array of textures self._buffer: np.ndarray[pygfx.Texture] = np.empty( shape=(self.row_indices.size, self.col_indices.size), dtype=object ) self._iter = None # iterate through each chunk of passed `data` # create a pygfx.Texture from this chunk for _, buffer_index, data_slice in self: texture = pygfx.Texture(self.value[data_slice], dim=2) self.buffer[buffer_index] = texture self._shared: int = 0 @property def value(self) -> np.ndarray: return self._value
[docs] def set_value(self, graphic, value): self[:] = value
@property def buffer(self) -> np.ndarray[pygfx.Texture]: return self._buffer @property def row_indices(self) -> np.ndarray: """ row indices that are used to chunk the big data array into individual Textures on the GPU """ return self._row_indices @property def col_indices(self) -> np.ndarray: """ column indices that are used to chunk the big data array into individual Textures on the GPU """ return self._col_indices @property def shared(self) -> int: return self._shared def _fix_data(self, data): if data.ndim not in (2, 3): raise ValueError( "image data must be 2D with or without an RGB(A) dimension, i.e. " "it must be of shape [rows, cols], [rows, cols, 3] or [rows, cols, 4]" ) # let's just cast to float32 always return data.astype(np.float32) def __iter__(self): self._iter = product(enumerate(self.row_indices), enumerate(self.col_indices)) return self def __next__(self) -> tuple[pygfx.Texture, tuple[int, int], tuple[slice, slice]]: """ Iterate through each Texture within the texture array Returns ------- Texture, tuple[int, int], tuple[slice, slice] | Texture: pygfx.Texture | tuple[int, int]: chunk index, i.e corresponding index of ``self.buffer`` array | tuple[slice, slice]: data slice of big array in this chunk and Texture """ (chunk_row, data_row_start), (chunk_col, data_col_start) = next(self._iter) # indices for to self.buffer for this chunk chunk_index = (chunk_row, chunk_col) # stop indices of big data array for this chunk row_stop = min(self.value.shape[0], data_row_start + self._texture_limit_2d) col_stop = min(self.value.shape[1], data_col_start + self._texture_limit_2d) # row and column slices that slice the data for this chunk from the big data array data_slice = (slice(data_row_start, row_stop), slice(data_col_start, col_stop)) # texture for this chunk texture = self.buffer[chunk_index] return texture, chunk_index, data_slice def __getitem__(self, item): return self.value[item] def __setitem__(self, key, value): self.value[key] = value for texture in self.buffer.ravel(): texture.update_range((0, 0, 0), texture.size) event = FeatureEvent("data", info={"key": key, "value": value}) self._call_event_handlers(event) def __len__(self): return self.buffer.size
[docs] class ImageVmin(GraphicFeature): """lower contrast limit""" def __init__(self, value: float): self._value = value super().__init__() @property def value(self) -> float: return self._value
[docs] def set_value(self, graphic, value: float): vmax = graphic._material.clim[1] graphic._material.clim = (value, vmax) self._value = value event = FeatureEvent(type="vmin", info={"value": value}) self._call_event_handlers(event)
[docs] class ImageVmax(GraphicFeature): """upper contrast limit""" def __init__(self, value: float): self._value = value super().__init__() @property def value(self) -> float: return self._value
[docs] def set_value(self, graphic, value: float): vmin = graphic._material.clim[0] graphic._material.clim = (vmin, value) self._value = value event = FeatureEvent(type="vmax", info={"value": value}) self._call_event_handlers(event)
[docs] class ImageCmap(GraphicFeature): """colormap for texture""" def __init__(self, value: str): self._value = value self.texture = get_cmap_texture(value) super().__init__() @property def value(self) -> str: return self._value
[docs] def set_value(self, graphic, value: str): new_colors = make_colors(256, value) graphic._material.map.texture.data[:] = new_colors graphic._material.map.texture.update_range((0, 0, 0), size=(256, 1, 1)) self._value = value event = FeatureEvent(type="cmap", info={"value": value}) self._call_event_handlers(event)
[docs] class ImageInterpolation(GraphicFeature): """Image interpolation method""" def __init__(self, value: str): self._validate(value) self._value = value super().__init__() def _validate(self, value): if value not in ["nearest", "linear"]: raise ValueError("`interpolation` must be one of 'nearest' or 'linear'") @property def value(self) -> str: return self._value
[docs] def set_value(self, graphic, value: str): self._validate(value) graphic._material.interpolation = value self._value = value event = FeatureEvent(type="interpolation", info={"value": value}) self._call_event_handlers(event)
[docs] class ImageCmapInterpolation(GraphicFeature): """Image cmap interpolation method""" def __init__(self, value: str): self._validate(value) self._value = value super().__init__() def _validate(self, value): if value not in ["nearest", "linear"]: raise ValueError( "`cmap_interpolation` must be one of 'nearest' or 'linear'" ) @property def value(self) -> str: return self._value
[docs] def set_value(self, graphic, value: str): self._validate(value) # common material for all image tiles graphic._material.map.min_filter = value graphic._material.map.mag_filter = value self._value = value event = FeatureEvent(type="cmap_interpolation", info={"value": value}) self._call_event_handlers(event)