README and scripts for the Cityscapes Dataset
Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes
PyTorch implementation of ENet
LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
Location Spawning System Used With QB-Core 🏙️
TensorFlow implementation of ENet, trained on the Cityscapes dataset.
🏙️ Cities of the world in Json, based on GeoNames Gazetteer
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
翻译 - CCNet：语义分割的跨界关注（ICCV 2019）。
some Python scripts can be used to convert the cityscapes dataset to the annotation style of coco dataset for instance segmentation task
Classified & clustered every pixel in cityscape dataset image belonging to same object class in modified Google DeepLabV3 architecture. Enhanced boundary detection of the Image Net (ResNet) with atrou...