ur_openai_gym
ros-semantic-segmentation-pytorch
ur_openai_gym | ros-semantic-segmentation-pytorch | |
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1 | 1 | |
15 | 10 | |
- | - | |
2.5 | 0.0 | |
4 months ago | 10 months ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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ur_openai_gym
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How to run Machine Learning (PyTorch, Tensorflow) with ROS Melodic/Python 2.7?
I've been able to work with tensorflow 2 and Ros melodic here https://github.com/cambel/ur_openai_gym I use dockers because it makes it easy to use. Compiling your custom packages with python3 and the rest mostly works fine. I had troubles with tf but I found a work around it. Though working with docket and Ros noetic would be a better idea.
ros-semantic-segmentation-pytorch
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How to run Machine Learning (PyTorch, Tensorflow) with ROS Melodic/Python 2.7?
As an example, this repo (https://github.com/pranay731/ros-semantic-segmentation-pytorch) seems to simply install ROS Melodic normally and some python 3 dependencies:
What are some alternatives?
ur3 - ROS-based UR3/UR3e controller with simulation in Gazebo. Adaptable to other UR robots
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline
rex-gym - OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Dstar-lite-pathplanner - Implementation of the D* lite algorithm in Python for "Improved Fast Replanning for Robot Navigation in Unknown Terrain"
Turtlebot2-On-Melodic - Make your Turtlebot2 runs on ROS Melodic (Ubuntu 18.04).
champ - MIT Cheetah I Implementation
dotmask
spot_mini_mini - Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
pyneat - NEAT: NeuroEvolution of Augmenting Topologies
efficientdet-pytorch - A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights