Perception toolkit for sim2real training and validation in Unity
machine-learning
computer-vision
deep-learning
detection
domain-randomization
object-detection
perception
pose-estimation
segmentation
synthetic-dataset-generation
Обновлено 2024-11-08 22:38:42 +03:00
Platform for Situated Intelligence
artificial-intelligence
perception
framework
component-library
streaming
stream-processing
human-robot-interaction
multimodal
multimodal-interactions
pipelines
Обновлено 2024-11-08 21:16:09 +03:00
Python toolchain for SOLO.
Обновлено 2024-07-16 12:13:36 +03:00
Unity's privacy-preserving human-centric synthetic data generator
unity
unity3d
deep-learning
computer-vision
pose-estimation
object-detection
synthetic-data
perception
synthetic-dataset-generation
billing-5160
synthetic-datasets
applied-ml-research
human-activity-recognition
human-centric-ml
human-pose-estimation
icml-2022
labeling
owner-machine-learning
synthetic-data-generation
transfer-learning
Обновлено 2024-03-05 04:05:37 +03:00
A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.
unity
machine-learning
deep-learning
computer-vision
robotics
manipulation
perception
physics-simulation
pose-estimation
robotics-simulation
simulation
ur3-robot-arm
ros
urdf
motion-planning
synthetic-data
trajectory-generation
tutorial
model-training
autonomy
Обновлено 2022-04-13 20:50:31 +03:00