https://github.com/hustvl/YOLOP

You Only Look Once for Panopitic Driving Perception.（MIR2022）
https://github.com/hustvl/YOLOP

autonomous-driving drivable-area-segmentation jetson-tx2 lane-detection multitask-learning object-detection

Last synced: 25 days ago
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You Only Look Once for Panopitic Driving Perception.（MIR2022）

• Host: GitHub
• URL: https://github.com/hustvl/YOLOP
• Owner: hustvl
• License: mit
• Created: 2021-08-25T07:05:19.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2023-10-20T16:50:37.000Z (over 1 year ago)
• Last Synced: 2025-03-17T05:45:13.281Z (28 days ago)
• Topics: autonomous-driving, drivable-area-segmentation, jetson-tx2, lane-detection, multitask-learning, object-detection
• Language: Python
• Homepage:
• Size: 137 MB
• Stars: 1,986
• Watchers: 31
• Forks: 421
• Open Issues: 156
• Metadata Files:
  • Readme: README _CH.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-yolo - **YoloP** - v7) Dong Wu at all. [‘YOLOP: You Only Look Once for Panoptic Driving Perception’](https://arxiv.org/abs/2108.11250). YoloP was designed to perform three visual perception tasks: traffic object detection, drivable area segmentation and lane detection simultaneously in real-time on an embedded device (Jetson TX2, 23 FPS). It is based on one encoder for feature extraction and three decoders to handle the specific tasks (Uncategorized / Uncategorized)
• awesome-yolo-object-detection - YOLOP
• awesome-yolo-object-detection - YOLOP