This is an official Pytorch implementation of "Cross View Fusion for 3D Human Pose Estimation, ICCV 2019".
Обновлено 2024-08-31 02:46:56 +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
Pose Estimation for drones
Обновлено 2023-07-06 00:10:11 +03:00
SynthDet - An end-to-end object detection pipeline using synthetic data
machine-learning
deep-learning
computer-vision
pose-estimation
synthetic-data
synthetic-dataset-generation
detection
domain-randomization
object-detection
synthetic-dataset
Обновлено 2023-07-05 23:50:31 +03:00
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 2023-06-02 00:25:21 +03:00
The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
Обновлено 2022-11-28 22:11:04 +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