# Copyright 2020 Timothy M. Shead
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Integration with Jupyter notebooks, https://jupyter.org"""
import base64
import io
import pprint
import IPython.display
import ipywidgets
import imagecat.data
[docs]def display(image, layers="*", width=None, height=None):
"""Display :ref:`image<images>` inline in a Jupyter notebook.
Parameters
----------
image: :class:`dict`, required
:ref:`Image<images>` to be displayed.
layers: :class:`str`, optional
Names of the image layers to display. Use "*" (the default) to display all layers.
width: :class:`str`, optional
Optional HTML width for each image.
height: :class:`str`, optional
Optional HTML height for each image.
"""
if not isinstance(image, imagecat.data.Image):
raise ValueError("Expected an instance of imagecat.Image.") # pragma: no cover
matched_layers = image.match_layer_names(layers)
# Setup a tab for each image layer.
def layer_generator(image, name):
def implementation():
layer = image.layers[name]
stream = io.BytesIO()
imagecat.data.to_pil(layer).save(stream, "PNG")
uri = "data:image/png;base64," + base64.standard_b64encode(stream.getvalue()).decode("ascii")
markup = f"<figure style='margin: 5px; text-align: center'>"
markup += f"<image src='{uri}' style='width:{width}; height:{height}; box-shadow: 4px 4px 6px rgba(0, 0, 0, 0.5)'/>"
markup += f"<figcaption>{name} <small>role: {layer.role.name} {layer.shape[1]}×{layer.shape[0]}×{layer.shape[2]} {layer.dtype}</small></figcaption>"
markup += f"</figure>"
return markup
return implementation
tabs = []
titles = []
generators = []
for layer in matched_layers:
tabs.append(ipywidgets.HTML())
titles.append(f"Layer: {layer}")
generators.append(layer_generator(image, layer))
# Setup a tab for metadata.
def metadata_generator(image):
def implementation():
markup = "<pre>"
for key, value in image.metadata.items():
markup += f"{key}: {value!r}\n"
markup += "</pre>"
return markup
return implementation
if image.metadata:
tabs.append(ipywidgets.HTML())
titles.append("Metadata")
generators.append(metadata_generator(image))
def on_tab_changed(change):
index = change["new"]
if index is None:
return
widget = tabs[index]
generator = generators[index]
if not widget.value and generator is not None:
widget.value = generator()
# Display the UI.
tab_widget = ipywidgets.Accordion(children=tabs)
for index, title in enumerate(titles):
tab_widget.set_title(index, title)
tab_widget.observe(on_tab_changed, names='selected_index')
IPython.display.display(tab_widget)
# Generate content for the first tab.
if tabs:
on_tab_changed({"new": 0})