├── GETTING_STARTED.md ├── INSTALL.md ├── LICENSE ├── README.md ├── configs ├── MGNet-Cityscapes-Fine.yaml ├── MGNet-Cityscapes-PseudoLabelGeneration.yaml ├── MGNet-Cityscapes-VideoSequence.yaml ├── MGNet-KITTI-Eigen-PseudoLabelGeneration.yaml └── MGNet-KITTI-Eigen-Zhou.yaml ├── datasets ├── README.md ├── labels_cityscapes.py ├── open3d_cityscapes.json ├── open3d_kitti_eigen.json ├── prepare_cityscapes.py └── prepare_kitti_eigen.py ├── docker ├── Dockerfile ├── build_docker.sh ├── develop.Dockerfile └── run_docker.sh ├── initialize.sh ├── linter.sh ├── media └── result_kitti.gif ├── mgnet ├── __init__.py ├── config.py ├── data │ ├── __init__.py │ ├── cityscapes_scene_seg.py │ ├── dataset_mapper.py │ ├── kitti_eigen_scene_seg.py │ ├── target_generator.py │ └── transform.py ├── evaluation │ ├── __init__.py │ ├── depth_evaluation.py │ ├── evaluation_visualizer.py │ ├── panoptic_evaluation.py │ ├── semantic_evaluation.py │ └── tensorboard_image_writer.py ├── geometry │ ├── __init__.py │ ├── camera.py │ ├── camera_utils.py │ ├── depth.py │ ├── image.py │ ├── pose.py │ └── pose_utils.py ├── inference │ ├── __init__.py │ ├── predictor.py │ └── visualizer.py ├── modeling │ ├── __init__.py │ ├── layers.py │ ├── loss.py │ ├── mg_net.py │ └── res_net.py ├── postprocessing │ ├── __init__.py │ ├── depth_post_proc.py │ ├── exportable_post_proc.py │ ├── instance_post_proc.py │ └── panoptic_post_proc.py └── solver │ ├── __init__.py │ └── build.py ├── requirements.txt ├── setup.cfg ├── setup.py ├── tools ├── convert-torchvision-to-mgnet.py ├── demo.py ├── generate_pseudo_labels.py ├── onnx_trt_export.py ├── train_net.py └── visualize_data.py └── trt_inference ├── CMakeLists.txt ├── README.md ├── common.h └── main.cpp /GETTING_STARTED.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/uulm-mrm/MGNet/HEAD/GETTING_STARTED.md -------------------------------------------------------------------------------- /INSTALL.md: 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