In this tutorial, we use the YOLOPv2 panoptic driving perception model for traffic object detection, drivable area segmentation, and lane detection. ...
Inference Using YOLOPv2 PyTorch

In this tutorial, we use the YOLOPv2 panoptic driving perception model for traffic object detection, drivable area segmentation, and lane detection. ...
In this article, we explore the YOLOPv2 model for Panoptic Driving Perception. It carries out traffic object detection, drivable area segmentation, and lane detection using an end-to-end neural network. ...
In this blog post, we go through a practical guide to run object detection and segmentation inference using the YOLOP model. ...
In this blog post, we run comprehensive inference experiments using the HybridNets neural network model. ...
In this post, we discuss the HybridNets paper along with the network architecture, experiment, and results. ...
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