Leopardi
An extensible library for generating 3D synthetic data with Blender that just works. Requires Python >= 3.0, Blender >= 2.80
Leopardi aims to make it easy to create robust synthetic images by importing scenes into Blender. It takes care of the boring, strenuous, and difficult stuff so that you can devote your time to training and evaluating your machine learning models.
NOTE: Leopardi is currently in a pre-alpha change. Breaking changes (though unlikely) may occur.
Backgrounds
Backgrounds are imported from a specified directory (which defaults to ./backgrounds/) and merges them with the rendered image.
Camera
The Leopardi Camera extends Blender's default camera with a variety of options for choosing camera location, lens size, sensor size, and more.
Models
Similarly to backgrounds, models are imported from a specified directory (which defaults to ./models/) and are used to render a synthetic image.
Renderer
The renderer allows for specifying which labels to generate to accompany an image, which Blender rendering engine to use, as well as the resolution of the rendered images.
Examples
Below is a dead-simple demonstration of working with Leopardi on Windows to generate a single render.
import leopardi
BLENDER_DIR = "C:\Program Files\Blender Foundation\Blender 2.92"
camera = leopardi.LeopardiCamera()
lighting = leopardi.LeopardiLighting()
renderer = leopardi.LeopardiRenderer()
model_loader = leopardi.ModelLoader()
background_loader = leopardi.BackgroundLoader()
engine = leopardi.Leopardi(camera, lighting, renderer, background_loader, model_loader)
engine.render(1)
If we want to include a depth map and YOLO annotations with our renders, we do so as below
import leopardi
BLENDER_DIR = "C:\Program Files\Blender Foundation\Blender 2.92"
camera = leopardi.LeopardiCamera()
lighting = leopardi.LeopardiLighting()
renderer = leopardi.LeopardiRenderer(labels=["DEPTH", "YOLO"])
model_loader = leopardi.ModelLoader()
background_loader = leopardi.BackgroundLoader()
engine = leopardi.Leopardi(camera, lighting, renderer, background_loader, model_loader)
engine.render(1)
Release files for leopardi 0.2.24
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| leopardi-0.2.24.tar.gz | 15.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| leopardi-0.2.24-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 44.4 kB
Release files / leopardi-0.2.24.tar.gz
| Download URL | leopardi-0.2.24.tar.gz |
|---|---|
| Size | 15.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.7.8
|
Release files / leopardi-0.2.24-py3-none-any.whl
| Download URL | leopardi-0.2.24-py3-none-any.whl |
|---|---|
| Size | 29.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.7.8
|