Skip to main content

Python bindings for SlamDunk

Project description


SlamDunk is a powerful and user-friendly C++/Python library for making live 3D and 2D visualizations for prototyping, data exploration, and algorithm development.

It is very lightweight, built using OpenGL and ImGui.

The project is in very early development with many improvements coming in the near future.

Examples

Hello world

Here is a simple "hello world" program for a SlamDunk visualization.

#python
import slamd

if __name__ == "__main__":
    vis = slamd.Visualizer("Hello world")

    scene = slamd.Scene()

    scene.set_object("/origin", slamd.geom.Triad())

    vis.add_scene("scene", scene)

    vis.hang_forever()
// C++
#include <slamd/slamd.hpp>

int main() {
    auto vis = slamd::visualizer("hello_world");

    auto scene = slamd::scene();

    scene->set_object("/origin", slamd::geom::triad());

    vis->add_scene("scene", scene);

    vis->hang_forever();
}

This example highlights the main components of SlamDunk.

  1. The Visualizer object maintains the state of the visualization. It starts a TCP server, and spawns a viewer process that reads from it and displays the visualizations.
  2. A Scene object represents and contains a tree of 3D objects.
  3. Geometry objects can be added to Scenes with a path in the tree.
  4. To display a scene, we must add it to the visualizer - this creates a view of the scene.

Running this program results in the following interactive visualization:

Multiple scenes

We use ImGui to allow multiple sub-windows with floating and docking support inside the SlamDunk viewer. The following example illustrates creating two windows, each showing its own scene.

# python
import slamd
import numpy as np

if __name__ == "__main__":
    vis = slamd.Visualizer("two windows")

    scene1 = slamd.Scene()
    scene2 = slamd.Scene()

    vis.add_scene("scene 1", scene1)
    scene1.set_object("/box", slamd.geom.Box())

    vis.add_scene("scene 2", scene2)
    scene2.set_object("/origin", slamd.geom.Triad())

    scene2.set_object("/ball", slamd.geom.Sphere(2.0))

    sphere_transform = np.identity(4, dtype=np.float32)
    sphere_transform[:, 3] = np.array([5.0, 1.0, 2.0, 1.0])

    scene2.set_transform("/ball", sphere_transform)

    vis.hang_forever()
// C++
#include <glm/glm.hpp>
#include <slamd/slamd.hpp>

int main() {
    auto vis = slamd::visualizer("two windows");

    auto scene1 = slamd::scene();
    auto scene2 = slamd::scene();

    vis->add_scene("scene 1", scene1);
    scene1->set_object("/box", slamd::geom::box());

    vis->add_scene("scene 2", scene2);
    scene2->set_object("/origin", slamd::geom::triad());
    scene2->set_object("/ball", slamd::geom::sphere(2.0f));

    glm::mat4 sphere_transform(1.0);
    sphere_transform[3] += glm::vec4(5.0, 1.0, 2.0, 1.0);

    scene2->set_transform("/ball", sphere_transform);

    vis->hang_forever();
}

The resulting window looks like this:

The windows are fully controllable - you can drag then around, make tabs, use them in floating mode, dock them to the sides like you see in the screenshot. All of this is supported by ImGui.

Further reading

The examples in the /examples folder showcase some more features of SlamDunk, like

  • Canvases for 2D visualizations
  • Multiple views of the same scene
  • Moving objects around.
  • Taking control of the render loop to create fully-fletced GUIs around SlamDunk using the power of ImGui.

Installation

Python

The python binding wheels are available on PyPi, so you can simply

pip install slamd

C++

With FetchContent

You can use CMake's FetchContent. Add this to your CMakeLists.txt:

include(FetchContent)

FetchContent_Declare(
  slamd
  GIT_REPOSITORY https://github.com/Robertleoj/slam_dunk.git
  GIT_TAG main
  SOURCE_SUBDIR slamd
)

FetchContent_MakeAvailable(slamd)

Linking to it then looks like:

target_link_libraries(
    your_target PRIVATE

    slamd::slamd
)

With git submodules

If you add the repo as a submodule in your project, you can add it as a subdirectory with

add_subdirectory(path/to/slam_dunk/slamd)

Just make sure to

git submodule update --init --recursive

inside the submodule, as all necessary dependencies are vendored.

You can then link it to your executable or library with

target_link_libraries(
    your_target PRIVATE

    slamd::slamd
)

Contributions

All contributions are welcome! SlamDunk is in very early development, so there is enough work to do, and multiple things to improve.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

slamd-2.1.1-cp313-cp313-manylinux_2_28_x86_64.whl (67.8 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.28+ x86-64

slamd-2.1.1-cp313-cp313-macosx_11_0_arm64.whl (7.9 MB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

slamd-2.1.1-cp312-cp312-manylinux_2_28_x86_64.whl (67.8 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.28+ x86-64

slamd-2.1.1-cp312-cp312-macosx_11_0_arm64.whl (7.9 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

slamd-2.1.1-cp311-cp311-manylinux_2_28_x86_64.whl (67.8 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.28+ x86-64

slamd-2.1.1-cp311-cp311-macosx_11_0_arm64.whl (7.9 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

File details

Details for the file slamd-2.1.1-cp313-cp313-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for slamd-2.1.1-cp313-cp313-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 33b325ecd8d0244118dc575e85e28eb56a43ff25d589140e3d1e5a9a54e36634
MD5 78f55f619f2644aa2098aa6da81e76a5
BLAKE2b-256 5d5903a13f6dcdf096bfcb56e569e9cfc24ec95b69af484938904e15500d3de7

See more details on using hashes here.

Provenance

The following attestation bundles were made for slamd-2.1.1-cp313-cp313-manylinux_2_28_x86_64.whl:

Publisher: pip_publish.yml on Robertleoj/slam_dunk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file slamd-2.1.1-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for slamd-2.1.1-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 b41888a7cd2baddfa696dd57f27329540ab0d4cfdd69a660fd41e259956d72da
MD5 063f3a81da94da140efa9fa042700fda
BLAKE2b-256 7d5c48b2596c10ea01a5d546dbc27724ccd8a6d4de0777fc80695921a34f649f

See more details on using hashes here.

Provenance

The following attestation bundles were made for slamd-2.1.1-cp313-cp313-macosx_11_0_arm64.whl:

Publisher: pip_publish.yml on Robertleoj/slam_dunk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file slamd-2.1.1-cp312-cp312-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for slamd-2.1.1-cp312-cp312-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 b93b5f6972015bfa965f31313362a5cc871f93cf29e4db08dc276b84ca0aaf65
MD5 ab5438e6a1b5d6db2c3dd53826098fac
BLAKE2b-256 3e705ac4fbfd6714c39692f9fa0d63020c10955928305164e60629619f5b1e30

See more details on using hashes here.

Provenance

The following attestation bundles were made for slamd-2.1.1-cp312-cp312-manylinux_2_28_x86_64.whl:

Publisher: pip_publish.yml on Robertleoj/slam_dunk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file slamd-2.1.1-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for slamd-2.1.1-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 ddf7df32ada9b1814b224fb78f709e35937ff45aa31c56cd0cfb13f713407dd2
MD5 f84b8b5af37ce46019f8d34930961ed7
BLAKE2b-256 7a91846e0fa1d6b21e3bf20b4513750572d264a822be027de8a9ed4425ddcc4d

See more details on using hashes here.

Provenance

The following attestation bundles were made for slamd-2.1.1-cp312-cp312-macosx_11_0_arm64.whl:

Publisher: pip_publish.yml on Robertleoj/slam_dunk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file slamd-2.1.1-cp311-cp311-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for slamd-2.1.1-cp311-cp311-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 c800ffa7ac7ffeee31fb26ef12774127850bb52c886a2fbb78af45fdf2ab9519
MD5 4715f36d1e3fd426d15e952d1a3590bb
BLAKE2b-256 f921a15509fc159a0ba7a67a0a1eda283d83203a267b2bace9308e9543f63ac5

See more details on using hashes here.

Provenance

The following attestation bundles were made for slamd-2.1.1-cp311-cp311-manylinux_2_28_x86_64.whl:

Publisher: pip_publish.yml on Robertleoj/slam_dunk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file slamd-2.1.1-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for slamd-2.1.1-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 5e745226689ecc9c5b736064bb35b32ec1fd002dea0ea22ddcf472772f01e433
MD5 4912887404d26e775191b649b08e637b
BLAKE2b-256 59d4974f35fc686abd759e3d51c3ce03673ee08337dae7e5c5983f0cba9e8ddf

See more details on using hashes here.

Provenance

The following attestation bundles were made for slamd-2.1.1-cp311-cp311-macosx_11_0_arm64.whl:

Publisher: pip_publish.yml on Robertleoj/slam_dunk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

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