leonmkim's repositories
im2contact
Code for Im2Contact: Vision-Based Contact Localization Without Touch or Force Sensing
Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
Cutie
[CVPR 2024] Putting the Object Back Into Video Object Segmentation
EfficientSAM
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
FISH_contact
Code for Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations
FlowFormerPlusPlus
FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation
franka_panda_description
Franka Emika Panda robot description, modified for providing gazebo simulation. Also includes more accurate dynamics values for KDL dynamics parameter estimations.
franka_ros_interface
A ROS/Python API for controlling and managing the Franka Emika Panda robot (real and simulated). Contains exposed controllers for the robot (joint position, velocity, torque), interfaces for the gripper, controller manager, coordinate frames interface, etc. Provides almost complete sim-to-real / real-to-sim transfer of code.
gazebo-contactMonitor
Monitors collisions in gazebo and publishes their timestamp in a ROS topic
gazebo_ros_link_attacher
Attach two Gazebo models with a virtual joint in a generalized grasp hack
gym-kuka-mujoco
An OpenAI gym environment for the Kuka arm.
mpv-cut
An mpv plugin for cutting videos incredibly quickly.
mpv-gif-generator
MPV GIF generation using ffmpeg
panda_simulator
A Gazebo simulator for the Franka Emika Panda robot with ROS interface, providing exposed controllers and real-time robot state feedback similar to the real robot.
realsense-ros
Intel(R) RealSense(TM) ROS Wrapper for D400 series, SR300 Camera and T265 Tracking Module
ros_numpy
Tools for converting ROS messages to and from numpy arrays
rosbag_pandas
Python library (and some tools) for converting ROS bagfiles to Pandas dataframes.
ROT_contact
Code for Watch and Match: Supercharging Imitation with Regularized Optimal Transport
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.