imgui_datascience package

Submodules

imgui_datascience.imgui_cv module

class imgui_datascience.imgui_cv.ImageAdjustments(factor=1.0, delta=0.0)

adjust(image)

is_none()

class imgui_datascience.imgui_cv.ImageAndAdjustments(image, image_adjustments)

adjusted_image()

class imgui_datascience.imgui_cv.SizePixel(width=0, height=0)

as_tuple_width_height()

static from_image(image)

imgui_datascience.imgui_cv.image(img, width=None, height=None, title='', image_adjustments=None, always_refresh=False)

imgui_datascience.imgui_cv.image_explorer(image, width=None, height=None, title='', zoom_key='', hide_buttons=False, image_adjustments=None)

Parameters:

• image_adjustments –
• hide_buttons –
• image – opencv / np image.
• width –
• height –
• title – an optional title
• zoom_key – Set the same zoom_key for two image if you want to link their zoom settings

Returns:

mouse location in image coordinates (None if the mouse is outside of the image)

imgui_datascience.imgui_cv.is_mouse_hovering_last_image()

imgui_datascience.imgui_cv.mouse_position_last_image()

imgui_datascience.imgui_datascience module

Main module.

imgui_datascience.imgui_ext module

class imgui_datascience.imgui_ext.FontId

Bases: object

Font_10 = 0

Font_14 = 1

Font_18 = 2

Font_22 = 3

Font_26 = 4

Font_30 = 5

static all_fonts_dict()

class imgui_datascience.imgui_ext.TogglableWindowParams(window_title='', initial_show=True, size=(0, 0), pos=(0, 0))

imgui_datascience.imgui_ext.listbox_dict(dict_string_value, current_key, title_top='', title_right='', height_in_items=20, item_width=None)

imgui_datascience.imgui_ext.make_icon_plus_label(icon, label)

imgui_datascience.imgui_ext.make_label_plus_icon(label, icon)

imgui_datascience.imgui_ext.make_unique_empty_label()

imgui_datascience.imgui_ext.make_unique_label(label, object_id=None)

imgui_datascience.imgui_ext.pop_font()

imgui_datascience.imgui_ext.push_default_font()

imgui_datascience.imgui_ext.push_font(font_id)

imgui_datascience.imgui_ext.show_togglable_window(window_param, window_function_code)

imgui_datascience.imgui_ext.togglable_window_get_status(window_title)

imgui_datascience.imgui_ext.togglable_window_toggle(window_title, open_window=None)

imgui_datascience.imgui_fig module

imgui_datascience.imgui_fig.fig(figure, width=None, height=None, title='')

imgui_fig.fig will display a matplotlib figure

Note: this might fail on OSX, with the following message

AttributeError: 'FigureCanvasMac' object has no attribute 'renderer'

In this case, simply change the renderer to Tk, like this:

import matplotlib
matplotlib.use('TkAgg')  # this has to be done *before* importing pyplot
import matplotlib.pyplot

imgui_datascience.imgui_image_lister module

imgui_datascience.imgui_image_lister.image_size_fit_in_gui(image_size, gui_size, can_make_bigger=False)

imgui_datascience.imgui_runner module

imgui_datascience.imgui_runner.ImGuiLister_ShowStandalone()

class imgui_datascience.imgui_runner.Params(win_size=(800, 600), win_title='Imgui - Title', windowed_full_screen=False, provide_default_window=True)

imgui_datascience.imgui_runner.compute_fps()

imgui_datascience.imgui_runner.run(gui_loop_function, params=<imgui_datascience.imgui_runner.Params instance>, on_init=None, on_exit=None)

imgui_datascience.static_vars module

class imgui_datascience.static_vars.Bunch(**kw)

Bases: dict

Bunch is a dictionary that supports attribute-style access, a la JavaScript. See original article here : http://code.activestate.com/recipes/52308-the-simple-but-handy-collector-of-a-bunch-of-named/?in=user-97991 pip install bunch will install an official version

class imgui_datascience.static_vars.TestStaticVars(methodName='runTest')

Bases: unittest.case.TestCase

test()

imgui_datascience.static_vars.static_vars(**kwargs)

Module contents