Project for the Advanced Machine Learning course 23/24 - Politecnico di Torino
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Updated
Mar 2, 2024 - Python
Project for the Advanced Machine Learning course 23/24 - Politecnico di Torino
Tensorflow v1.11.0 and Python3.x compatible of ENet. GPU/CPU.
Real image semantic segmentation using Enet on Resortit dataset - PyTorch
calculate bg-value based on the bg-curve
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
instance segmentation of lanes for autonomous driving
Implementation of ENet by chainer
ENet for 2D semantic segmentation in ScanNet
Realtime Semantic Segmentation (ICNet) for Self-Driving Vehicles
Pytorch to train ENet of Cityscapes datasets and CamVid datasets nicely
Lots of semantic image segmentation implementations in Tensorflow/Keras
Pytorch implementation of "Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)"
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.
Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.
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.
An Ace of Spades 0.75 server based on PySnip.
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