Blender Synthetics
Create your own synthetic dataset for object detection.
Description
This repo creates random scenes on blender, imports custom 3D models with randomised configurations, and renders numerous images with annotations to train an object detection model.
Getting Started
Install blender (Tested on 3.2 and 3.3)
- Follow installation instructions here
- Add blender to PATH
echo 'export PATH=/path/to/blender/directory:$PATH' >> ~/.bashrc
- Ensure your GPU is supported on blender. Refer here
Clone repo
git clone https://github.com/wish2023/blender-synthetics.git
Install packages
sh install_requirements.sh
Generate synthetics
- Update
config/models.yaml
andconfig/render_parameters.yaml
as required. Refer to models and render parameters for details. - Generate images
blender -b -P src/render_blender.py
- Generate annotations
python3 src/create_labels.py
Models
Currently supports fbx/obj/blend. Ensure your models only contain one object that has the same name as its filename.
Classes
Your targets of interest. Bounding boxes will be drawn around these objects.
Obstacles (Optional)
Other objects which will be present in the scene. These won't be annotated.
Scenes (Optional)
Textures that your scene may have. Explore possible textures from texture haven and store all texture subfolders in a main folder.
Parameters
Occlusion awareness
When not occlusion aware, bounding boxes will surround regions of the object that aren't visible by the camera.
Visibility threshold
The fraction of an object that must be visible by the camera for it to be considered visible to a human annotator.
Component visibility threshold
The fraction of an object components that must be visible by the camera for it to be considered visible to a human annotator.
Camera configurations
Sun
The sun's energy is the light intensity on the scene. The tilt is responsible for casting shadows and works similar to the camera's tilt.