Abstract: The increases in the timeliness of maintenance and repair requirements for urban road pavements have created a demand for the timely detection of pavement distress. An effective detection ...

To improve the accuracy of detecting small defects in wood floors, this paper proposed a new network based on YOLOv7. The new network is called the cascade center of gravity YOLOv7 (CCG-YOLOv7). This ...

July 6th 2022 will be marked down as a landmark in AI history because it was on this day when YOLOv7 was released. Ever since its launch, the YOLOv7 has been the hottest topic in the Computer Vision ...

2022-08:仓库创建，支持step、cos学习率下降法、支持adam、sgd优化器选择、支持学习率根据batch_size自适应调整、新增图片裁剪 ...

In order to make it possible to fulfill your inference speed/accuracy needs you can select a Yolov7 family model for automatic download $ python track.py --source 0 --yolo-weights yolov7.pt --img 640 ...

What is YOLOv7 model and why should I use it? YOLOv7, an unrivaled object detection algorithm, achieves high-speed accuracy ranging from 5 FPS to 160 FPS. Excelling with a 56.8% AP accuracy for ...