YOLO-Python 2023中的NAS对象检测、跟踪和Web应用程序

YOLO-NAS、训练自定义数据集、对象检测、分割、跟踪、真实世界项目和Python中的Web应用程序，欢迎来到YOLO-NAS:目标探测的终极课程。通过动手项目进行跟踪。应用与发展。使用Flask和Streamlit开发Web应用程序。YOLO-NAS是最先进的目标检测模型。这是YOLO的最新版本，在速度、准确性和效率方面都比以前的版本有所改进。YOLO-NAS Object Detection, Tracking & Web App in Python 2023

你将从本课程中学到什么:YOLO-NAS:目标探测的新基础模型YOLO-NAS的新特点| YOLO-NAS是目标探测的未来吗？YOLO-NAS实施| windows使用YOLO的目标检测-NAS on images使用YOLO的目标检测-NAS on video使用YOLO的目标检测-NAS on Live Web cam feed在Google cola中运行YOLO的目标检测bYOLO-NAS + DeepSORT跟踪YOLO-NAS + DeepSORT跟踪自定义数据使用YOLO-NAS进行分类目标跟踪车辆计数(进入和离开)使用YOLO的目标检测和分类目标跟踪构建计算机视觉Web应用程序& amp为什么用户界面如此重要利用YOLO-NAS集成进行精简精简YOLO-NAS on images精简YOLO-NAS on video部署您的精简Web应用程序stream lit；用于计算进出车辆数量的应用程序使用YOLO-NAS进行空车架检测使用YOLO-NAS进行车牌检测使用YOLO-NAS和easy ocr进行自动车牌识别使用YOLO-NAS和paddleocrylo-NAS进行自动车牌识别多摄像头车牌识别应用程序面部检测& nbsp使用YOLO-鼻面部模糊使用YOLO-鼻面部检测和性别分类使用YOLO-鼻面部车辆强度热图| YOLO-鼻将YOLO-鼻与Flask集成并创建一个Web App个人防护设备(PPE)检测使用YOLO-鼻Web App-个人防护设备(PPE)& nbsp；检测网络应用-车辆计数(进入和离开)使用YOLO-NAS和分类对象跟踪

由Muhammad Moin创作
MP4 |视频:h264，1280×720 |音频:AAC，44.1 KHz，2声道
类型:电子教学|语言:英语|时长:48节课(14小时 26分钟 ) |大小:17.2 GB 含课程文件

你会学到什么
YOLO-NAS:一种新的目标检测基础模型
YOLO-NAS的新功能| YOLO-NAS是物体探测的未来吗？
YOLO-NAS实施| Windows
基于YOLO-NAS的图像目标检测
基于YOLO-NAS的视频目标检测
使用YOLO NAS在实时网络摄像头上进行物体检测
在Google Colab中运行YOLO NAS
YOLO-NAS +深度排序跟踪
YOLO-NAS +自定义数据集上的深度排序跟踪
具有分类对象跟踪的YOLO-NAS
使用YOLO-NAS和分类对象跟踪对车辆计数(进入和离开)
构建计算机视觉Web应用程序&为什么UI很重要
通过YOLO-NAS集成简化it
简化映像上的YOLO NAS
简化视频上的YOLO NAS
部署您的Streamlit Web应用程序
Streamlit应用程序统计进出车辆
使用YOLO-NAS进行空货架检测
基于YOLO-NAS的车牌检测
基于YOLO-NAS和EasyOCR的车牌自动识别
基于YOLO-NAS和PaddleOCR的车牌自动识别
YOLO-NAS多摄像头车牌识别应用
基于YOLO-NAS的人脸检测
使用YOLO-NAS的人脸模糊
基于YOLO-NAS的人脸检测和性别分类
车辆密度热图| YOLO-NAS
将YOLO NAS与Flask集成并创建WebApp
使用YOLO-NAS检测个人防护设备(PPE)
Web应用程序-个人防护设备(PPE)检测
Web应用程序-使用YOLO-NAS和分类对象跟踪进行车辆计数(进入和离开)

要求
Python编程经验是一个优势，但不是必需的
笔记本电脑/个人电脑

这门课程是给谁的
对于每个对计算机视觉感兴趣的人
对于每个学习计算机视觉和想知道如何使用YOLO物体检测的人
对于每个想了解最新的YOLO-NAS版本的人
用计算机视觉构建深度学习应用
用计算机视觉构建网络应用

YOLO-NAS, Train Custom Dataset, Object Detection, Segmentation, Tracking, Real World Projects & Web Apps in Python

What you’ll learn
YOLO-NAS : A New Foundation Model for Object Detection
What’s New in YOLO-NAS | Is YOLO-NAS the Future of Object Detection?
YOLO-NAS Implementation | Windows
Object Detection with YOLO-NAS on Images
Object Detection with YOLO-NAS on Videos
Object Detection with YOLO-NAS on Live Webcam Feed
Run YOLO-NAS in Google Colab
YOLO-NAS + DeepSORT Tracking
YOLO-NAS + DeepSORT Tracking on Custom Dataset
YOLO-NAS with SORT Object Tracking
Vehicles Counting (Entering and Leaving) using YOLO-NAS and SORT Object Tracking
Building a Computer Vision Web App & Why UI is important
Streamlit with YOLO-NAS Integration
Streamlit YOLO-NAS on Images
Streamlit YOLO-NAS on Videos
Deploy Your Streamlit Web Application
Streamlit App to Count the Vehicles Entering and Leaving
Empty Shelf Detection using YOLO-NAS
License Plate Detection using YOLO-NAS
Automatic Number Plate Recognition using YOLO-NAS and EasyOCR
Automatic Number Plate Recognition using YOLO-NAS and PaddleOCR
YOLO-NAS Multi-Cam Number Plate Recognition App
Face Detection using YOLO-NAS
Face Blurring using YOLO-NAS
Face Detection and Gender Classification using YOLO-NAS
Vehicle Intensity Heatmaps | YOLO-NAS
Integrating YOLO-NAS with Flask and Creating a WebApp
Personal Protective Equipment (PPE) Detection with YOLO-NAS
Web App- Personal Protective Equipment (PPE) Detection
Web App- Vehicles Counting (Entering and Leaving) using YOLO-NAS and SORT Object Tracking

Requirements
Python Programming experience is an advantage but not required
Laptop/PC

Description
Welcome to the YOLO-NAS: The Ultimate Course for Object Detection & Tracking with Hands-on Projects,  Applications & Web App Development using Flask and Streamlit. YOLO-NAS is the state-of-the-art object detection model. It is the latest version of YOLO and is an improvement over the previous versions in terms of speed, accuracy and efficiency. What will you learn in this course:YOLO-NAS : A New Foundation Model for Object DetectionWhat’s New in YOLO-NAS | Is YOLO-NAS the Future of Object Detection?YOLO-NAS Implementation | WindowsObject Detection with YOLO-NAS on ImagesObject Detection with YOLO-NAS on VideosObject Detection with YOLO-NAS on Live Webcam FeedRun YOLO-NAS in Google ColabYOLO-NAS + DeepSORT TrackingYOLO-NAS + DeepSORT Tracking on Custom DatasetYOLO-NAS with SORT Object TrackingVehicles Counting (Entering and Leaving) using YOLO-NAS and SORT Object TrackingBuilding a Computer Vision Web App & Why UI is importantStreamlit with YOLO-NAS IntegrationStreamlit YOLO-NAS on ImagesStreamlit YOLO-NAS on VideosDeploy Your Streamlit Web ApplicationStreamlit  App to Count the Vehicles Entering and LeavingEmpty Shelf Detection using YOLO-NASLicense Plate Detection using YOLO-NASAutomatic Number Plate Recognition using YOLO-NAS and EasyOCRAutomatic Number Plate Recognition using YOLO-NAS and PaddleOCRYOLO-NAS Multi-Cam Number Plate Recognition AppFace Detection  using YOLO-NASFace Blurring using YOLO-NASFace Detection and Gender Classification using YOLO-NASVehicle Intensity Heatmaps | YOLO-NASIntegrating YOLO-NAS with Flask and Creating a WebAppPersonal Protective Equipment (PPE) Detection with YOLO-NASWeb App- Personal Protective Equipment (PPE)  DetectionWeb App- Vehicles Counting (Entering and Leaving) using YOLO-NAS and SORT Object Tracking

Who this course is for
For Everyone who is interested in Computer Vision
For Everyone who study Computer Vision and want to know how to use YOLO for Object Detection
For Everyone who wants to learn the latest YOLO-NAS version
Building Deep learning Apps with Computer Vision
Building Web Apps with Computer Vision