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ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

PyTorch implementation of ENet

Keras-Semantic-Segmentation

An Ace of Spades 0.75 server based on PySnip.

Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.

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.

Pytorch implementation of "Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)"

Lots of semantic image segmentation implementations in Tensorflow/Keras

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.

Pytorch to train ENet of Cityscapes datasets and CamVid datasets nicely

Realtime Semantic Segmentation (ICNet) for Self-Driving Vehicles

ENet for 2D semantic segmentation in ScanNet

Implementation of ENet by chainer

instance segmentation of lanes for autonomous driving

Bomberman clone speedhacked in python, compatible with Raspberry Pi

TensorFlow implementation of ENet (Support for GPU/CPU mode, slimming of meta file and pb file generation) I added a correspondence to CPU mode and Freeze Graph, RaspberryPi correspondence to kwotsin/TensorFlow-ENet. Tensorflow 1.11.0

Project for the Advanced Machine Learning course 23/24 - Politecnico di Torino

Real image semantic segmentation using Enet on Resortit dataset - PyTorch