Add projections
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@ -1,29 +1,30 @@
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import numpy as np
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import numpy as np
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from bokeh.io import curdoc
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from bokeh.io import curdoc
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from bokeh.layouts import column, row
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from bokeh.layouts import column, gridplot, row
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from bokeh.models import (
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from bokeh.models import (
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BasicTicker,
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BasicTicker,
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Button,
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Button,
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ColumnDataSource,
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ColumnDataSource,
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Range1d,
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DataRange1d,
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Dropdown,
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Grid,
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Grid,
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HoverTool,
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HoverTool,
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Image,
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Image,
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Line,
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LinearAxis,
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LinearAxis,
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PanTool,
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PanTool,
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Plot,
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Plot,
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Range1d,
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ResetTool,
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ResetTool,
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SaveTool,
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SaveTool,
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WheelZoomTool,
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Spinner,
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Dropdown,
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TextInput,
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TextInput,
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Toggle,
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Toggle,
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Spinner,
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WheelZoomTool,
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)
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)
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import pyzebra
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import pyzebra
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IMAGE_W = 256
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IMAGE_W = 256
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IMAGE_H = 128
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IMAGE_H = 128
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@ -33,7 +34,10 @@ global curent_h5_data, current_index
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def update_image():
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def update_image():
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image_source.data.update(image=[curent_h5_data[current_index]])
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current_image = curent_h5_data[current_index]
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proj_v_line_source.data.update(x=np.arange(0, IMAGE_W) + 0.5, y=np.mean(current_image, axis=0))
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proj_h_line_source.data.update(x=np.mean(current_image, axis=1), y=np.arange(0, IMAGE_H) + 0.5)
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image_source.data.update(image=[current_image])
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index_spinner.value = current_index
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index_spinner.value = current_index
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@ -102,6 +106,41 @@ image_source = ColumnDataSource(
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image_glyph = Image(image="image", x="x", y="y", dw="dw", dh="dh")
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image_glyph = Image(image="image", x="x", y="y", dw="dw", dh="dh")
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image_renderer = plot.add_glyph(image_source, image_glyph, name="image_glyph")
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image_renderer = plot.add_glyph(image_source, image_glyph, name="image_glyph")
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# ---- projections
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proj_v = Plot(
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x_range=plot.x_range,
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y_range=DataRange1d(),
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plot_height=200,
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plot_width=IMAGE_W * 3,
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toolbar_location=None,
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)
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proj_v.add_layout(LinearAxis(major_label_orientation="vertical"), place="right")
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proj_v.add_layout(LinearAxis(major_label_text_font_size="0pt"), place="below")
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proj_v.add_layout(Grid(dimension=0, ticker=BasicTicker()))
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proj_v.add_layout(Grid(dimension=1, ticker=BasicTicker()))
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proj_v_line_source = ColumnDataSource(dict(x=[], y=[]))
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proj_v.add_glyph(proj_v_line_source, Line(x="x", y="y", line_color="steelblue"))
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proj_h = Plot(
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x_range=DataRange1d(),
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y_range=plot.y_range,
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plot_height=IMAGE_H * 3,
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plot_width=200,
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toolbar_location=None,
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)
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proj_h.add_layout(LinearAxis(), place="above")
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proj_h.add_layout(LinearAxis(major_label_text_font_size="0pt"), place="left")
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proj_h.add_layout(Grid(dimension=0, ticker=BasicTicker()))
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proj_h.add_layout(Grid(dimension=1, ticker=BasicTicker()))
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proj_h_line_source = ColumnDataSource(dict(x=[], y=[]))
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proj_h.add_glyph(proj_h_line_source, Line(x="x", y="y", line_color="steelblue"))
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def prev_button_callback():
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def prev_button_callback():
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global current_index
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global current_index
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@ -140,8 +179,14 @@ def animate_toggle_callback(active):
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animate_toggle = Toggle(label="Animate")
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animate_toggle = Toggle(label="Animate")
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animate_toggle.on_click(animate_toggle_callback)
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animate_toggle.on_click(animate_toggle_callback)
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layout_image = gridplot([[proj_v, None], [plot, proj_h]], merge_tools=False)
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doc.add_root(
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doc.add_root(
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column(
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column(
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fileinput, filelist, plot, row(prev_button, next_button), row(index_spinner, animate_toggle)
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fileinput,
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filelist,
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layout_image,
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row(prev_button, next_button),
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row(index_spinner, animate_toggle),
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)
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)
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)
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)
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