Files for a tutorial to train SegNet for road scenes using the CamVid dataset
Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.
PyTorch implementation of ENet
[ECCV-2020]: Improving Semantic Segmentation via Decoupled Body and Edge Supervision
CGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]
A fully functional manual, motion detect or time triggered AVI video JPG picture recorder with OTA web firmware update ability.
This repo provides ⚡ fast⚡ semantic segmentation models on CityScapes/Camvid DataSet by Pytorch
This is the DL repository for Semantic Segmentation using U-Net model in pytorch library.
Applying the 100 Layer Tiramisu on the Camvid Dataset
Deep learning semantic segmentation on the Camvid dataset using PyTorch FCN ResNet50 neural network.
This is the unofficial code of Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. which achieve state-of-the-art trade-off between accuracy and speed on ci...