DDRNets
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes
Install / Use
/learn @hamidriasat/DDRNetsREADME
DDRNets 
<a href="/LICENSE"><img src="https://img.shields.io/badge/license-MIT-blue.svg" alt="license" /></a>
<!-- https://hits.seeyoufarm.com/ -->
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes
Hit star ⭐ if you find my work useful.
This repository contain implementation of DDRNet_23_slim in tensorflow/keras.
Comments are added for better understanding. Check below model images for better understanding of code.
Code Files
- ddrnet_23_slim.py → ddrnet_23_slim model code
Architecture
Dependies:
Tensorflow 2.0 or later
Licensed under MIT License
Related Skills
node-connect
335.2kDiagnose OpenClaw node connection and pairing failures for Android, iOS, and macOS companion apps
claude-opus-4-5-migration
82.5kMigrate prompts and code from Claude Sonnet 4.0, Sonnet 4.5, or Opus 4.1 to Opus 4.5
frontend-design
82.5kCreate distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
model-usage
335.2kUse CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
