ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
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Updated
Mar 22, 2021 - Python
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
ENet - A Neural Net Architecture for real time Semantic Segmentation
Open "Minecraft-like" game with multiplayer support and Lua scripting support for the both client and server
Nazara Engine is a cross-platform framework aimed at (but not limited to) real-time applications requiring audio, 2D and 3D real-time rendering, network and more.
An Ace of Spades 0.75 server based on PySnip.
⚡️ ENet reliable UDP networking library
BetterSpades, an Ace of Spades client targeted at low end systems (GL/ES 1.1). Runs on your grandmother's rig!
Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.
🚀 Making multi-player gamedev simpler since 2017
Ignorance utilizes the power of ENet to provide a reliable UDP networking transport for Mirror Networking.
Implementation of UNet by Tensorflow Lite. Semantic segmentation without using GPU with RaspberryPi + Python. In order to maximize the learning efficiency of the model, this learns only the "Person" class of VOC2012. And Comparison with ENet.
Networking framework for Entitas ECS. Targeted at turnbased games or other slow-paced genres.
Pytorch implementation of "Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)"
PyTorch implementation of over 30 realtime semantic segmentations models, e.g. BiSeNetv1, BiSeNetv2, CGNet, ContextNet, DABNet, DDRNet, EDANet, ENet, ERFNet, ESPNet, ESPNetv2, FastSCNN, ICNet, LEDNet, LinkNet, PP-LiteSeg, SegNet, ShelfNet, STDC, SwiftNet, and support knowledge distillation, distributed training etc.
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