#
perception
Here are 221 public repositories matching this topic...
Teach-Repeat-Replan: A Complete and Robust System for Aggressive Flight in Complex Environments
-
Updated
Nov 13, 2020 - C++
Platform for Situated Intelligence
streaming
framework
pipelines
artificial-intelligence
stream-processing
perception
component-library
human-robot-interaction
multimodal-interactions
multimodal
-
Updated
Jun 17, 2021 - C#
Perception toolkit for sim2real training and validation
machine-learning
computer-vision
deep-learning
detection
perception
segmentation
object-detection
pose-estimation
synthetic-dataset-generation
domain-randomization
-
Updated
Jun 17, 2021 - C#
An OpenAI gym wrapper for CARLA simulator
-
Updated
Apr 23, 2021 - Python
Object detection / tracking / fusion based on Apollo r3.0.0 perception module in ROS
-
Updated
Aug 14, 2020 - C++
Research platform for 3D object detection in PyTorch.
real-time
detection
voxel
point-cloud
pytorch
perception
lidar
codebase
object-detection
autonomous-vehicles
3d-deep-learning
-
Updated
Apr 25, 2021 - Python
egordon
commented
Feb 11, 2020
#546 adds a lengthy pattern that gets the inverse of a state before composing it. Instead we should have an inverse composition (i.e. subtraction) function implemented between states for brevity.
[CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettes
computer-vision
deep-learning
torch
perception
silhouette
reconstruction
depth-maps
3d
3d-reconstruction
variational-autoencoder
generative-models
3d-shapes
2d-3d
3d-generation
representation-sharing
2d-to-3d
-
Updated
Jun 17, 2020 - Lua
A metric for Perceptual Image-Error Assessment through Pairwise Preference (PieAPP at CVPR 2018).
python
deep-neural-networks
deep-learning
tensorflow
pytorch
perception
perceptual
image-quality-assessment
perceptual-metric
perceptual-quality
perceptual-similarity
perceptual-error
visual-perception
-
Updated
Feb 26, 2021 - Python
Simulations for TurtleBot3
opencv
package
mobile
robot
navigation
ros
perception
dynamixel
gazebo
slam
turtlebot
robotis
turtlebot3
-
Updated
Jun 14, 2021 - C++
CVPR 2020, "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps"
-
Updated
Jun 4, 2020
Code to export full segmentations from GTA
-
Updated
Jan 27, 2020 - C++
Steps to reproduce training results for the paper Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?
computer-vision
perception
faster-rcnn
object-detection
autonomous-driving
simulated-data
kitti-dataset
-
Updated
Sep 12, 2017 - Python
Text to abstract art generation for the holidays!
-
Updated
Jan 29, 2019 - Python
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.
machine-learning
tutorial
computer-vision
deep-learning
robotics
unity
simulation
motion-planning
ros
perception
trajectory-generation
manipulation
urdf
physics-simulation
pose-estimation
autonomy
model-training
synthetic-data
robotics-simulation
ur3-robot-arm
-
Updated
Jun 4, 2021 - Python
perception
concept
piece
copycat
cognition
farg
fluid-concepts
computational-cognitive-science
analogies
douglas-hofstadter
-
Updated
Mar 21, 2020 - Scheme
Train generalizable policies for kit assembly with self-supervised dense correspondence learning.
-
Updated
Oct 12, 2020 - Python
Integrated ROS capabilities for planning, predicate inference, gripper control, and perception for use with the KUKA LBR IIWA and Universal Robots.
ui
robot
simulation
costar
lbr-iiwa
kuka-lbr
gripper
universal-robots
perception
grl
predicator
behavior-tree
user-interface
industrial-automation
collaborative-robot
dvrk
-
Updated
May 30, 2019 - C++
Autonomous Driving with TurtleBot3
opencv
package
mobile
robot
navigation
ros
perception
dynamixel
gazebo
slam
turtlebot
robotis
turtlebot3
-
Updated
Nov 15, 2019 - Python
List of commonly used robotics libraries and packages
visualization
computer-vision
motion-planning
perception
slam
cognition
robotics-libraries
mobile-robotics
international-conference
collision-checking
robot-vision
robot-perception
robotics-resources
-
Updated
Apr 27, 2021
A set of Python scripts to evaluate the Automotive Datasets provided by Prophesee
machine-learning
computer-vision
machine-learning-algorithms
dataset
perception
pattern-recognition
machinelearning
automotive
autonomous-driving
event-based
perceptron-learning-algorithm
-
Updated
May 17, 2021 - Python
interfaces and algorithms for event based cameras, lidars, and actuators
-
Updated
Jun 10, 2020 - MATLAB
Joint Perception and Planning For Efficient Obstacle Avoidance Using Stereo Vision
-
Updated
Jan 6, 2019 - C++
Perception-Aware Trajectory Planner in Dynamic Environments
uav
optimization
path
planning
perception
obstacle-avoidance
trajectory
dynamic-obstacles
obstacle-avoidance-algorithm
perception-aware
-
Updated
Apr 6, 2021 - C++
Scripts showcasing filtering techniques applied to point cloud data.
-
Updated
Aug 20, 2018 - Python
An open source autonomous driving research platform for Active SLAM & Multisensor Data Fusion
control
motion-planning
ros
perception
slam
sensor-fusion
odometry
lidar-camera-calibration
pose-graph-optimization
-
Updated
Sep 3, 2019 - C++
A catkin workspace in ROS which uses DBSCAN to identify which points in a point cloud belong to the same object.
-
Updated
Aug 13, 2020 - Python
Improve this page
Add a description, image, and links to the perception topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the perception topic, visit your repo's landing page and select "manage topics."

I figured out a way to get the (x,y,z) data points for each frame from one hand previously. but im not sure how to do that for the new holistic model that they released. I am trying to get the all landmark data points for both hands as well as parts of the chest and face. does anyone know how to extract the holistic landmark data/print it to a text file? or at least give me some directions as to h