vkitti

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alitabet / morton-net

PyTorch implementation to train MortonNet and use it to compute point features. MortonNet is trained in a self-supervised fashion, and the features can be used for general tasks like part or semantic segmentation of point clouds.

computer-vision deep-learning point-cloud pytorch segmentation shapenet vkitti self-supervised-learning s3dis mortonnet

Updated
Python

harsmac / Realtime-Alerting-System-for-Autonomous-Vehicles

Star

An Evaluation Metric for Object Detection Algorithms in Autonomous Navigation Systems and its application to a real-time alerting system

python c weather realtime alerting evaluation keras ieee object-detection autonomous-vehicles darknet evaluation-metrics keras-tensorflow kitti yolov2 icip virutal-dom vgg16-model vkitti

Updated
Python

ae137 / SemanticSegmentation

Star

Implement and train slim deep neural network for semantic segmentation

tensorflow keras network-architecture semantic-segmentation deep-neural-network vkitti

Updated
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