pytorch yolov7
时间: 2023-09-28 16:13:00 浏览: 43
PyTorch YOLOv7 is an object detection model that is based on the YOLOv3 architecture, but with several modifications and improvements. It was developed by the Ultralytics team and is available on GitHub.
The YOLOv7 model has several notable features, including:
1. Improved accuracy: YOLOv7 has achieved state-of-the-art performance on several popular object detection benchmarks, including COCO.
2. Faster inference: The model is optimized for fast inference on both CPUs and GPUs, making it suitable for real-time applications.
3. Easy to use: The PyTorch implementation of YOLOv7 is easy to use and customize, with pre-trained models and example scripts provided.
4. Flexible architecture: YOLOv7 can be easily modified and extended to handle different types of objects and environments.
Overall, PyTorch YOLOv7 is a powerful and versatile object detection model that can be used for a wide range of applications, from surveillance and security to robotics and autonomous vehicles.