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YOLO-NAS + v8 Full-Stack Computer Vision Course · LearnSpace
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YOLO-NAS + v8 Full-Stack Computer Vision Course

Курс от Packt
Средний≈ 14.6 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This comprehensive course introduces you to the YOLO-NAS + v8 model and its integration into real-world applications. You’ll gain hands-on experience in using YOLO-NAS + v8 for object detection, training custom models, and deploying solutions across different platforms, from cloud services to mobile devices. Learn how to transition from YOLOv8 to YOLO-NAS, refine object detection capabilities, and integrate advanced tracking techniques with algorithms like DeepSORT and Bytetrack. The course takes you on a journey through every aspect of YOLO-NAS + v8, from setting up the environment on various platforms, fine-tuning models for specific needs, and exploring use cases such as waste sorting detection and safety compliance. You’ll also learn model conversion techniques and deploy solutions on Docker, Jetson NANO, and even mobile devices using Kivy. Whether you're looking to enhance your computer vision skills or integrate AI into mobile and web apps, this course caters to all levels of learners. If you're a developer, data scientist, or researcher, this course will provide you with the necessary tools to create sophisticated AI-driven applications across a wide range of industries.

Навыки, которые вы освоите

Computer VisionFlask (Web Framework)Mobile DevelopmentModel TrainingUser Interface (UI)Application DeploymentModel OptimizationDevelopment EnvironmentFine-tuningData PreprocessingModel DeploymentUser Interface (UI) DesignTensorflowPyTorch (Machine Learning Library)Cloud DeploymentAI Integrations

Программа курса

11 модулей · 92 учебных материалов

01YOLO-NAS + v8 Introduction10 материалов

YOLO-NAS + v8 Introduction

How to Upgrade from YOLOv8 to YOLO-NASВидеоLecture 1: Introduction to YOLO-NAS + v8ВидеоLecture 2: Architecture of YOLO-NAS + v8 and comparison to other modelsВидеоLecture 3: Running YOLO-NAS + v8 on UbuntuВидеоLecture 4: Running YOLO-NAS + v8 on Windows

Учитесь у экспертов

Packt - Course Instructors

Преподаватель курса

YOLO-NAS + v8 Full-Stack Computer Vision Course
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 14.6 ч

11 модулей

Язык: Английский

Субтитры: Казахский

Часть программы вашего университета
Видео
Lecture 5: Running YOLO-NAS + v8 in Google ColabВидео
Lecture 6: YOLO-NAS + v8 Object Detection on Images, Video & WebCam in Google ColabВидео
Lecture 7: Common use cases for YOLO-NAS + v8Видео
Lecture 8: Fine-tuning pre-trained YOLO-NAS + v8 modelsВидео
YOLO-NAS + v8 Introduction - AssessmentЗадание
02Training Custom YOLO-NAS + v89 материалов

Training Custom YOLO-NAS + v8

Lecture 1: Training Process of YOLOv8ВидеоLecture 2: Training YOLO NAS on custom DatasetВидеоLecture 3: Custom Dataset Waste Sorting DetectionВидеоLecture 4: Data Pre-processingВидеоLecture 5: Data AugmentationВидеоLecture 6: Training, Testing, and Deploying Model on RoboflowВидеоLecture 7: Using Roboflow models for AI data annotationВидеоTraining YOLO V8 on Custom DatasetsDIALOGUETraining Custom YOLO-NAS + v8 - AssessmentЗадание
03YOLO-NAS + v8 Object Tracking7 материалов

YOLO-NAS + v8 Object Tracking

Lecture 1: Introduction to Multi-Object Tracking (MOT)ВидеоLecture 2: YOLO-NAS + v8 with DeepSORTВидеоLecture 3: YOLO-NAS + v8 with BytetrackВидеоLecture 4: YOLO-NAS + v8 with FairMOTВидеоLecture 5: Integrating YOLO-NAS + v8+ tracking on Streamlit dashboardВидеоUnderstanding Multi-Object Tracking with YOLOv8 and Popular LibrariesDIALOGUEYOLO-NAS + v8 Object Tracking - AssessmentЗадание
04Model Conversion8 материалов

Model Conversion

Lecture 1: Overview of model conversionВидеоLecture 2: Setting up the environment for model conversionВидеоLecture 3: Converting PyTorch models to CoreMLВидеоLecture 4: Converting PyTorch models to OpenVinoВидеоLecture 5: Converting PyTorch models to TensorFlowВидеоLecture 6: Converting PyTorch models to TensorRTВидеоConverting Deep Learning ModelsDIALOGUEModel Conversion - AssessmentЗадание
05Flask Integration5 материалов

Flask Integration

Lecture 1: Setting up Flask ApplicationВидеоLecture 2: Integrate YOLO-NAS + v8 with FlaskВидеоLecture 3: Designing Front-EndВидеоBuilding a Flask App with YOLOv8DIALOGUEFlask Integration - AssessmentЗадание
06YOLO-NAS + v8 Flask Apps7 материалов

YOLO-NAS + v8 Flask Apps

Lecture 1: Retail Heat MapsВидеоLecture 2: Mining Safety Check- Helmet/Glasses or vest.ВидеоLecture 3: Plastic Waste Detection using Security CamerasВидеоLecture 4: Smoke DetectionВидеоLecture 5: CS-GO Gaming Aimbot with YOLOv8 | NASВидеоDeploying YOLOv8 with Flask for Retail HeatmapsDIALOGUEYOLO-NAS + v8 Flask Apps - AssessmentЗадание
07Mobile Development Using Kivy21 материалов

Mobile Development Using Kivy

Lecture 1: Introduction to Mobile DevelopmentВидеоLecture 2: Setting up Kivy Application (part 1)ВидеоLecture 2: Setting up Kivy Application (part 2)ВидеоLecture 3: Setting up a DashboardВидеоLecture 4: Integrating YOLO-NAS + v8 with KivyВидеоLecture 5: Conversion to TFliteВидеоLecture 6.1 Widgets and Buttons in KivyВидеоLecture 6.2: Widgets and Buttons in KivyВидеоLecture 6.3: Widgets and Buttons in KivyВидеоLecture 6.4: Widgets and Buttons in KivyВидеоLecture 7.1- Deployment and TestingВидеоLecture 7.2- Modify the User InterfaceВидеоLecture 8.8.1: Configuring BuildozerВидеоLecture 8.8.2: Debugging ApplicationВидеоLecture 8.8.3 Run ApplicationВидеоLecture 9.1: Updating the Search BarВидеоLecture 9.2: Updating the SliderВидеоLecture 9.3: Adding a Navigation DrawerВидеоLecture 9.4: Configuring & Running the AppВидеоIntegrating YOLO with Kivy for Mobile App DevelopmentDIALOGUEMobile Development Using Kivy - AssessmentЗадание
08Mobile Apps7 материалов

Mobile Apps

Lecture 1: Introduction to Mobile AppsВидеоLecture 2: People Counting over TimeВидеоLecture 3: Document Scanner (using Easy-OCR)ВидеоLecture 4: Sign Language RecognitionВидеоLecture 5: Bar Graph Widget VisualizationВидеоBuilding Mobile Applications with AIDIALOGUEMobile Apps - AssessmentЗадание
09Object Segmentation9 материалов

Object Segmentation

Lecture 1: Introduction to Object SegmentationВидеоLecture 2: Setting up Object Segmentation modelВидеоLecture 3: Data Collection, Annotation and Health checkerВидеоLecture 4: Data Pre-processing and AugmentationВидеоLecture 5: Training on GPU and deploymentВидеоLecture 6: Crack detection and measuring the pixel sizeВидеоLecture 7: YOLO-NAS + SAM SegmentationВидеоUnderstanding Object SegmentationDIALOGUEObject Segmentation - AssessmentЗадание
10YOLO-NAS Deployment for Docker4 материалов

YOLO-NAS Deployment for Docker

YOLO-NAS Deployment for DockerВидеоYOLO-NAS Deployment for Jetson NANOВидеоSetting Up AS One with DockerDIALOGUEYOLO-NAS Deployment for Docker - AssessmentЗадание
11Bonus Content5 материалов

Bonus Content

VegGPTВидеоUltralytics Update: YOLOv8 Object Bounding BoxesВидеоBonus Content - AssessmentЗаданиеFull Course Practice AssessmentЗаданиеFull Course ResourcesЗадание