def test_update_lin_no_auto(disp_min, disp_max):
im = sv.ImageView()
sv_cm = sv.ColorMapper([im], disp_min=disp_min, disp_max=disp_max)
sv_cm.update(test_image)
assert sv_cm.display_min_spinner.value == disp_min
assert sv_cm.display_max_spinner.value == disp_max
def test_update_log_no_auto(disp_min, disp_max):
im = sv.ImageView()
sv_cm = sv.ColorMapper([im], disp_min=disp_min, disp_max=disp_max)
sv_cm.scale_radiobuttongroup.active = 1
sv_cm.update(test_image)
assert sv_cm.display_min_spinner.value == disp_min
assert sv_cm.display_max_spinner.value == disp_max
def test_update_lin_auto(disp_min, disp_max):
im = sv.ImageView()
sv_cm = sv.ColorMapper([im], disp_min=disp_min, disp_max=disp_max)
sv_cm.auto_toggle.active = [0] # True
sv_cm.update(test_image)
assert sv_cm.display_min_spinner.value == 1
assert sv_cm.display_max_spinner.value == 6
image_width=1030,
)
sv_zoom = sv.ImageView(
plot_height=ZOOM_CANVAS_HEIGHT,
plot_width=ZOOM_CANVAS_WIDTH,
image_height=514,
image_width=1030,
x_start=258,
x_end=772,
)
sv_zoom.proj_toggle = sv_main.proj_toggle
sv_main.add_as_zoom(sv_zoom)
sv_colormapper = sv.ColorMapper([sv_main, sv_zoom])
sv_colormapper.color_bar.width = MAIN_CANVAS_WIDTH // 2
sv_main.plot.add_layout(sv_colormapper.color_bar, place="below")
sv_resolrings = sv.ResolutionRings([sv_main, sv_zoom], sv_metadata,
sv_streamctrl)
sv_intensity_roi = sv.IntensityROI([sv_main, sv_zoom], sv_metadata,
sv_streamctrl)
sv_saturated_pixels = sv.SaturatedPixels([sv_main, sv_zoom], sv_metadata,
sv_streamctrl)
sv_spots = sv.Spots([sv_main], sv_metadata, sv_streamctrl)
sv_disabled_modules = sv.DisabledModules([sv_main], sv_streamctrl)
sv_hist = sv.Histogram(nplots=2, plot_height=200, plot_width=700)
sv_hist.plots[0].title = Title(text="Full image")
sv_hist.plots[1].title = Title(text="Roi")
doc = curdoc()
sv_rt = sv.Runtime()
# Currently, it's possible to control only a canvas size, but not a size of the plotting area.
MAIN_CANVAS_WIDTH = 1000 + 55
MAIN_CANVAS_HEIGHT = 1000 + 59
# Create streamvis components
sv_metadata = sv.MetadataHandler(datatable_height=300, datatable_width=400)
sv_main = sv.ImageView(plot_height=MAIN_CANVAS_HEIGHT, plot_width=MAIN_CANVAS_WIDTH)
sv_colormapper = sv.ColorMapper([sv_main])
sv_colormapper.color_bar.width = MAIN_CANVAS_WIDTH // 2
sv_main.plot.add_layout(sv_colormapper.color_bar, place="below")
sv_hist = sv.Histogram(nplots=1, plot_height=400, plot_width=700)
file_path = TextInput(title="File Path:", value="/")
dataset_path = TextInput(title="Dataset Path:", value="/")
def _load_image_from_dataset(file, dataset, index):
with h5py.File(file, "r") as f:
image = f[dataset][index].astype("float32")
metadata = dict(shape=list(image.shape))