semantic_segmentation_ros
ROS package for semantic segmentation (by Ginga-Kennis)
SemanticSegmentation
A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation (by WillBrennan)
semantic_segmentation_ros | SemanticSegmentation | |
---|---|---|
2 | 1 | |
25 | 168 | |
- | - | |
8.1 | 0.0 | |
16 days ago | 7 months ago | |
Python | Python | |
- | MIT License |
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.
semantic_segmentation_ros
Posts with mentions or reviews of semantic_segmentation_ros.
We have used some of these posts to build our list of alternatives
and similar projects.
SemanticSegmentation
Posts with mentions or reviews of SemanticSegmentation.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing semantic_segmentation_ros and SemanticSegmentation you can also consider the following projects:
face-parsing.PyTorch - Using modified BiSeNet for face parsing in PyTorch
merged_depth - Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models
HDF5ImageMarker - Utility to making datasets of images and points coordinates that have been marked up on these images by user
sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots