Skip to main content

bimpy - bundled imgui for python

Project description

bimpy - bundled imgui for python

Downloads:

Downloads

Build status:

Build

License:

License

bimpy is a python module that provides bindings to dear imgui and distributed as a self-contained package bundled with glfw and gl3w.

Features:

  • Allows to create immediate mode UI with python easily. The API is kept as close to the original dear imgui as possible.

  • bimpy already has all necessary functionality for window/OpenGL context creation and hides those details from the user.

  • bimpy supports multiple contexts and allows creating multiple windows.

  • bimpy works on Windows, GNU Linux, and macOS.

  • bimpy does not have dependencies and can be easely built from sources. Building relies only on distutils.

  • bimpy can display images from ndarrays, PIL Images, numpy arrays, etc.,

Hello-world with bimpy:

import bimpy

ctx = bimpy.Context()

ctx.init(600, 600, "Hello")

str = bimpy.String()
f = bimpy.Float();

while(not ctx.should_close()):
        with ctx:
                bimpy.text("Hello, world!")

                if bimpy.button("OK"):
                        print(str.value)

                bimpy.input_text('string', str, 256)

                bimpy.slider_float("float", f, 0.0, 1.0)
hello-world

Display image:

import bimpy
from PIL import Image

ctx = bimpy.Context()

ctx.init(800, 800, "Image")

image = Image.open("test.png")

im = bimpy.Image(image)

while(not ctx.should_close()):
    with ctx:
        bimpy.text("Display PIL Image")

        bimpy.image(im)
hello-world

Similarly, numpy arrays with 2 dimensions, 3 dimensions (2, 3 or 4 channels) of type np.uint8 can be displayed. More examples here: https://github.com/podgorskiy/bimpy/blob/master/examples/image.py

Install

Installation is easy since the package does not have dependencies:

pip install bimpy

Or you can build and install from sources:

python setup.py install

All c/c++ sources are built with distutils. All you need is a compiler with C++11 support.

Windows users, who use python 2.7 may encounter problems, because on Windows, python 2.7 uses MSVC 9.0, which doesn’t have support for c++11. However, you still can build it with more recent MSVC (for example MSVC 14.0, which is Visual C++ 2015) using the commands below:

call "%VS140COMNTOOLS%\VsDevCmd.bat"
set VS90COMNTOOLS=%VS140COMNTOOLS%
python setup.py install

If building on Linux, the following dependencies will be needed:

sudo apt-get install mesa-common-dev libxi-dev libxinerama-dev libxrandr-dev libxcursor-dev

To build all wheels for linux package distribution (manylinux) run build_manylinux_wheels.sh.

For testing/debugging there is a CMakeList.txt included. It is not used by setup.py, but can be handy in order to build/debug package from certain IDEs.

How to use it?

Intro

bimpy is python binding for dear imgui and tries to match the C++ API. Also, it has some additional functions to create a window and some other differences.

It has binding for the most functions from dear imgui. All functions are renamed from CamelCase to snake_case, which is more common for python. For example ImGui::InputText is mapped to bimpy.input_text.

Context and window

First of all, you need to import bimpy

import bimpy

Distinctively from dear imgui, bimpy does not have global state (dear imgui has it by default, but it has an option not to have one). So, you will need to create a context.

ctx = bimpy.Context(width, height, name)

Where integers width and height specify the size of the window, and string name is a caption of the window.

All calls to bimpy’s API must be within with statement applied to the context object:

with ctx:
        bimpy.text("Hello, world!")

And there must be only one with statement applied to the context object per frame.

Or, a second option is to manualy call ctx.new_frame() before all API calls, and then ctx.render() after.

ctx.new_frame()
bimpy.text("Hello, world!")
ctx.render()

You can have multiple Context objects for multiple windows, however, API is not thread-safe.

Variables

All imgui API that provides user input (such as InputText, SliderFloat, etc.) modifies the variable through the reference to it. However, in python, such objects as integers, floats and strings are passed always by value. Because of this, bimpy provides special wrappers, that allow passing those variables by reference.

For example, to use slider_float, you will need first to create a variable that will hold the state:

f = bimpy.Float();

You can access the value in the following way: f.value

To use it with slider_float simply pass it to that function:

bimpy.slider_float("float slider", f, 0.0, 1.0)

All imgui input functions that provide multiple inputs, like SliderFloat2, SliderInt4, InputInt3, etc. are mapped to equivalent functions, but instead of passing an array of variables, you need to list all variables in the argument list:

f1 = bimpy.Float();
f2 = bimpy.Float();
f3 = bimpy.Float();

while(not ctx.should_close()):
        with ctx:
                bimpy.slider_float3("float", f1, f2, f3, 0.0, 1.0)

Draw commands

Some draw commands are exposed. In contrast to C++ API, the exposed functions are not methods of ImDrawList, but global functions. All drawing functions should be called inside the begin/end calls of a window.

List of exposed drawing functions:

add_circle(centre: _bimpy.Vec2, radius: float, col: int, num_segments: int=12, thickness: float=1.0) -> None
add_circle_filled(centre: _bimpy.Vec2, radius: float, col: int, num_segments: int=12) -> None
add_line(a: _bimpy.Vec2, b: _bimpy.Vec2, col: int, thickness: float=1.0) -> None
add_quad(a: _bimpy.Vec2, b: _bimpy.Vec2, c: _bimpy.Vec2, d: _bimpy.Vec2, col: int, thickness: float=1.0) -> None
add_quad_filled(a: _bimpy.Vec2, b: _bimpy.Vec2, c: _bimpy.Vec2, d: _bimpy.Vec2, col: int) -> None
add_rect(a: _bimpy.Vec2, b: _bimpy.Vec2, col: int, rounding: float=0.0, rounding_corners_flags: int=Corner.All, thickness: float=1.0) -> None
add_rect_filled(a: _bimpy.Vec2, b: _bimpy.Vec2, col: int, rounding: float=0.0, rounding_corners_flags: int=Corner.All) -> None
add_rect_filled_multicolor(a: _bimpy.Vec2, b: _bimpy.Vec2, col_upr_left: int, col_upr_right: int, col_bot_right: int, col_bot_lefs: int) -> None
add_triangle(a: _bimpy.Vec2, b: _bimpy.Vec2, c: _bimpy.Vec2, col: int, thickness: float=1.0) -> None
add_triangle_filled(a: _bimpy.Vec2, b: _bimpy.Vec2, c: _bimpy.Vec2, col: int) -> None

Simple usage example below:

hello-world
import bimpy
import numpy as np

ctx = bimpy.Context()

ctx.init(1200, 1200, "Draw Commands Test")

with ctx:
        bimpy.themes.set_light_theme()

DATA_POINTS = bimpy.Int(30)
CLASTERS = bimpy.Int(4)

std = bimpy.Float(0.5)

colors = [0x4b19e6, 0x4bb43c, 0x19e1ff, 0xc88200, 0x3182f5, 0xb41e91, 0xf0f046, 0xf032e6, 0xd2f53c,
                  0xfabebe, 0x008080, 0xe6beff, 0xaa6e28, 0xfffac8, 0x800000, 0xaaffc3, 0x808000, 0xffd8b1,
                  0x000080, 0x808080, 0xFFFFFF, 0x000000]

datapoints = []


def generate_fake_data():
        datapoints.clear()
        for i in range(CLASTERS.value):
                x = np.random.normal(size=(DATA_POINTS.value, 2))
                alpha = np.random.rand()
                scale = std.value * np.random.rand(2) * np.eye(2, 2)
                position = np.random.rand(2) * 5
                rotation = np.array([[np.cos(alpha), np.sin(alpha)], [-np.sin(alpha), np.cos(alpha)]])
                x = np.matmul(x, scale)
                x = np.matmul(x, rotation)
                x += position
                datapoints.append((x, rotation, position, scale))

axis = x = np.array([[-1, 0], [1, 0], [0, -1], [0, 1]])

while not ctx.should_close():
        ctx.new_frame()

        bimpy.set_next_window_pos(bimpy.Vec2(20, 20), bimpy.Condition.Once)
        bimpy.set_next_window_size(bimpy.Vec2(800, 600), bimpy.Condition.Once)
        bimpy.begin("Drawings")

        window_pos = bimpy.get_window_pos()

        center = bimpy.Vec2(100, 100) + window_pos
        m = 100.0
        for i in range(len(datapoints)):
                (x, R, P, S) = datapoints[i]

                for j in range(x.shape[0]):
                        point = bimpy.Vec2(x[j, 0], x[j, 1])
                        bimpy.add_circle_filled(point * m + center, 5, 0xAF000000 + colors[i], 100)

                axis_ = np.matmul(axis, S * 2.0)
                axis_ = np.matmul(axis_, R) + P

                bimpy.add_line(
                        center + bimpy.Vec2(axis_[0, 0], axis_[0, 1]) * m,
                        center + bimpy.Vec2(axis_[1, 0], axis_[1, 1]) * m,
                        0xFFFF0000, 1)

                bimpy.add_line(
                        center + bimpy.Vec2(axis_[2, 0], axis_[2, 1]) * m,
                        center + bimpy.Vec2(axis_[3, 0], axis_[3, 1]) * m,
                        0xFFFF0000, 1)

        bimpy.end()

        bimpy.set_next_window_pos(bimpy.Vec2(20, 640), bimpy.Condition.Once)
        bimpy.set_next_window_size(bimpy.Vec2(800, 140), bimpy.Condition.Once)
        bimpy.begin("Controls")

        bimpy.input_int("Data points count", DATA_POINTS)
        bimpy.input_int("Clasters count", CLASTERS)

        bimpy.slider_float("std", std, 0.0, 3.0)

        if bimpy.button("Generate data"):
                generate_fake_data()

        bimpy.end()

        ctx.render()

Acknowledgements

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bimpy-0.0.16.tar.gz (1.2 MB view hashes)

Uploaded Source

Built Distributions

bimpy-0.0.16-cp38-cp38-win_amd64.whl (843.0 kB view hashes)

Uploaded CPython 3.8 Windows x86-64

bimpy-0.0.16-cp38-cp38-win32.whl (713.2 kB view hashes)

Uploaded CPython 3.8 Windows x86

bimpy-0.0.16-cp38-cp38-manylinux2010_x86_64.whl (5.9 MB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

bimpy-0.0.16-cp37-cp37m-win_amd64.whl (840.0 kB view hashes)

Uploaded CPython 3.7m Windows x86-64

bimpy-0.0.16-cp37-cp37m-win32.whl (714.1 kB view hashes)

Uploaded CPython 3.7m Windows x86

bimpy-0.0.16-cp37-cp37m-manylinux2010_x86_64.whl (6.1 MB view hashes)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64

bimpy-0.0.16-cp37-cp37m-macosx_10_13_x86_64.whl (751.0 kB view hashes)

Uploaded CPython 3.7m macOS 10.13+ x86-64

bimpy-0.0.16-cp36-cp36m-win_amd64.whl (839.9 kB view hashes)

Uploaded CPython 3.6m Windows x86-64

bimpy-0.0.16-cp36-cp36m-win32.whl (714.0 kB view hashes)

Uploaded CPython 3.6m Windows x86

bimpy-0.0.16-cp36-cp36m-manylinux2010_x86_64.whl (6.1 MB view hashes)

Uploaded CPython 3.6m manylinux: glibc 2.12+ x86-64

bimpy-0.0.16-cp35-cp35m-manylinux2010_x86_64.whl (6.1 MB view hashes)

Uploaded CPython 3.5m manylinux: glibc 2.12+ x86-64

bimpy-0.0.16-cp34-cp34m-manylinux2010_x86_64.whl (6.1 MB view hashes)

Uploaded CPython 3.4m manylinux: glibc 2.12+ x86-64

bimpy-0.0.16-cp27-cp27mu-manylinux2010_x86_64.whl (6.0 MB view hashes)

Uploaded CPython 2.7mu manylinux: glibc 2.12+ x86-64

bimpy-0.0.16-cp27-cp27m-win_amd64.whl (797.7 kB view hashes)

Uploaded CPython 2.7m Windows x86-64

bimpy-0.0.16-cp27-cp27m-win32.whl (679.2 kB view hashes)

Uploaded CPython 2.7m Windows x86

bimpy-0.0.16-cp27-cp27m-manylinux2010_x86_64.whl (6.0 MB view hashes)

Uploaded CPython 2.7m manylinux: glibc 2.12+ x86-64

bimpy-0.0.16-cp27-cp27m-macosx_10_13_intel.whl (1.4 MB view hashes)

Uploaded CPython 2.7m macOS 10.13+ intel

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page