具有Fast API接口和YOLOv9-c模型的web应用程序，用于在乌拉尔汽车厂的条件下检测吸烟和个人防护装备（PPE）。项目目标：降低企业健康和生命风险。
A web application with a Fast API interface and a YOLOv9-c model trained to detect smoking and personal protective equipment (PPE) in the conditions of the Ural Automobile Plant. Project goal: reducing risks to health and life at the enterprise. (2024-05-23, Jupyter Notebook, 0KB, 下载0次)
汽车信息娱乐系统和智能雨量预测天窗的缺陷分析
Defect analysis of automotive infotainment system and intelligent rain predictive sunroof (2024-03-08, Jupyter Notebook, 0KB, 下载0次)
复制<https:wroscoe.github.io keras lane-following-autopilot.html>，旨在教育和娱乐
复制<https:wroscoe.github.io keras lane-following-autopilot.html>，旨在教育和娱乐 (2017-03-13, Jupyter Notebook, 156KB, 下载0次)
Autopilot-on-Udacity,优达学城-自动驾驶工程师课程(三个学期版)
Autopilot on Udacity, Udacity - Autonomous Driving Engineer Course (Three Semester Edition) (2018-12-16, Jupyter Notebook, 841KB, 下载0次)