YOLO-v5 기반 "단안 카메라"의 영상을 활용해 차간 거리를 일정하게 유지하며 주행하는 Adaptive Cruise Control 기능 구현
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Updated
Oct 28, 2021 - Python
YOLO-v5 기반 "단안 카메라"의 영상을 활용해 차간 거리를 일정하게 유지하며 주행하는 Adaptive Cruise Control 기능 구현
Real-time social distancing detector and people counter for camera recordings, via PyTorch, OpenCV and YOLOv5 👥
YOLO-v5 기반 단안 카메라의 영상을 활용해 차간 거리를 일정하게 유지하며 주행하는 Adaptive Cruise Control 기능 구현
SightScope is a web app for object detection and tracking using YOLO V5.
How does annotated image in YOLO format looks like? Analyze txt annotation file.
YOLO v5 format of the traffic signs dataset to train and test detector
The vehicle detection project competed in YOLO (You Only Look Once), a real-time object detection system. Using Python, the project aimed to accurately detect and classify vehicles in various scenarios. It involved collecting and annotating a dataset, implementing the YOLO architecture, and fine-tuning the model using transfer learning.
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