ros-semantic-segmentation-pytorch
Pytorch implementation of Semantic Segmentation in ROS on MIT ADE20K dataset based on semantic-segmentation-pytorch by CSAIL (by pranay731)
dotmask
By introlab
| ros-semantic-segmentation-pytorch | dotmask | |
|---|---|---|
| 1 | 2 | |
| 10 | 26 | |
| - | - | |
| 0.0 | 0.0 | |
| 10 months ago | over 1 year ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ros-semantic-segmentation-pytorch
Posts with mentions or reviews of ros-semantic-segmentation-pytorch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-30.
-
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:
dotmask
Posts with mentions or reviews of dotmask.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-30.
-
How to run Machine Learning (PyTorch, Tensorflow) with ROS Melodic/Python 2.7?
Do you have all your Python 3 files in a different workspace with cv_bridge? In the tutorial you shared they create a new catkin_build_ws to avoid any future problems with catkin_make? How would I compile my existing c++ files when I make changes? The steps of the tutorial seem very similar to the ones at the start of this repo: https://github.com/introlab/dotmask. In the repo, however, they use catkin_make instead of catkin build with the following arguments:
What are some alternatives?
When comparing ros-semantic-segmentation-pytorch and dotmask you can also consider the following projects:
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline
ur_openai_gym - OpenAI Gym interface for Universal Robots with ROS Gazebo
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Turtlebot2-On-Melodic - Make your Turtlebot2 runs on ROS Melodic (Ubuntu 18.04).
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
efficientdet-pytorch - A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
ros-semantic-segmentation-pytorch vs Robo-Semantic-Segmentation
dotmask vs ur_openai_gym
ros-semantic-segmentation-pytorch vs Pytorch-UNet
ros-semantic-segmentation-pytorch vs ur_openai_gym
ros-semantic-segmentation-pytorch vs Turtlebot2-On-Melodic
ros-semantic-segmentation-pytorch vs mmsegmentation
ros-semantic-segmentation-pytorch vs efficientdet-pytorch