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所在平台: Udemy |
课程主页: https://www.udemy.com/course/yolov7-object-detection-course/
课程评论：没有评论
**课程名称：YOLOv7 对象检测课程** **课程概述：** 本课程旨在教授学员从基础到实践的YOLOv7对象检测技术。YOLO（You Only Look Once）是一种单阶段对象检测器，广泛应用于各种工业应用后端，如桌面和Web应用，并且是物体分割、跟踪、分类、计数等计算机视觉任务的基础。YOLOv7作为其最新迭代，在速度和精度上都取得了显著提升，能够实时检测对象，引领计算机视觉领域的新变革。 课程内容涵盖： * **YOLOv7的入门:** 讲解YOLOv7的工作原理，包括其骨干网络（backbone）、颈部（neck）和头部（head）架构，以及如何预测边界框位置、类别和置信度。 * **自定义数据集训练YOLOv7:** 指导学员如何使用自己的数据集训练YOLOv7模型，实现个性化的对象检测。 * **多目标跟踪系统:** 学习构建和实现多目标跟踪系统。 * **Flask集成:** 掌握如何将YOLOv7模型集成到Flask Web应用中。 * **分割与检测:** 探索YOLOv7在物体分割和对象检测方面的各种实用功能。 * **最前沿的技术细节:** 深入了解YOLOv7这一先进系统的精细之处。 **值得注意：** 课程将提供前两个模块的内容。**请注意，由于新增内容，课程价格将于2022年10月5日上涨至29美元。** **推荐人群：** 对计算机视觉领域感兴趣的任何人。
==Price going up to $29 on 5th October 2022 due to new content==Object-detection technology is widely used as the backend of many applications in the industry, including desktop and web applications. Also, it's a backbone for many computer vision tasks, which include object segmentation, object tracking, object classification, object counting, etc. The YOLO (You Only Look Once) model is a single-stage object detector. Image frames are featured through a backbone, features are combined and mixed in the neck, and then they are passed along to the head of the network where YOLO predicts the bounding box locations, the classes of the bounding boxes, and the objectness of the bounding boxes. With its amazing characteristics, YOLOv7 is a real-time object detector that is now transforming computer vision.In comparison to its earlier iterations, the official YOLOv7 offers incredible speed and precision. YOLOv7 weights are trained without pre-trained weights using the COCO dataset from Microsoft. With this full-stack object detection course, you will learn to code YOLOv7 from the basics, training your custom YOLOv7, multi-object tracking system, Flask integrations, various segmentation, and object detection feature to its most practical applications. You will also have access to the most delicate details of this state-of-the-art system.In this course, we will share the first two modules of our full-stack course. Module 1 - Getting Started with YOLOv7Module 2 - Training YOLOv7 on Custom Dataset This course is highly recommended to anyone interested in computer vision!
