Description
YOLO-NAS with WebApps using Flask and Streamlit OpenAI SAM Course. Welcome to the course This comprehensive course covers YOLO-NAS, Segment Anything Model and ChatGPT and provides practical projects, applications and web application development using Flask and Streamlit with 16+ real-world projects. This course covers object detection, tracking and web application development using popular frameworks like Flask and Streamlit. This course also includes image segmentation using YOLO-NAS and Segment Anything Model. But the story doesn’t end there! We go even further by exploring the development of Streamlit apps by combining the expertise of YOLO-NAS and ChatGPT. What you will learn in this course:
- YOLO-NAS: A new base model for object recognition
- What’s New in YOLO-NAS | Is YOLO-NAS the Future of Object Detection?
- Implementation of Yolo-NAS Windows
- Object detection with YOLO-NAS on images
- Object detection with YOLO-NAS in video
- Object detection with YOLO-NAS in a live webcam feed
- Run YOLO-NAS on Google Colab
- Yolo NAS + DeepSort Tracking
- Exploring YOLO-NAS + DeepSORT on a custom dataset
- Yolo NAS with sort object tracking
- Vehicle counting (entry and exit) using YOLO-NAS and SORT object tracking.
- Building Computer Vision Web Applications and Why UI is Important
- Work smoothly with YOLO-NAS integration
- Turn on YOLO-NAS on images
- Turn on video YOLO-NAS
- Deploy your Streamlit web app
- Streamlight app for counting incoming and outgoing vehicles
- Empty shelf detection using YOLO-NAS
- Vehicle license plate recognition using YOLO-NAS
- Automatic license plate recognition using YOLO-NAS and EasyOCR
- Automatic license plate recognition using YOLO-NAS and PaddleOCR
- Yolo-NAS multi-camera license plate recognition program
- Facial Recognition using YOLO-NAS
- Blur face using YOLO-NAS
- Face recognition and gender classification using YOLO-NAS
- Thermal map of car intensity YOLO-NAS
- Integrate YOLO-NAS with Flask and create a web application
- Personal Protective Equipment (PPE) Identification with YOLO-NAS
- Web application – Identification of personal protective equipment (PPE).
- Web Application – Counting vehicles (entry and exit) and tracking SORT objects using YOLO-NAS
- Enable apps with YOLO-NAS and ChatGPT
- Creating a ChatGPT article with Python and Streamlit
- Identifying vegetables with YOLO-NAS
- Build a Streamlit app using YOLO-NAS and ChatGPT to generate recipes
- Introduction to the Segment Anything Model
- YOLO-NAS + SAM: Image Segmentation using YOLO-NAS and Segment Anything Model
What you will learn in the YOLO-NAS OpenAI SAM with WebApps using Flask and Streamlit course
-
YOLO-NAS: A new base model for object recognition
-
What’s New in YOLO-NAS | Is YOLO-NAS the Future of Object Detection?
-
Implementation of Yolo-NAS Windows
-
Object detection with YOLO-NAS on images
-
Object detection with YOLO-NAS in video
-
Object detection with YOLO-NAS in a live webcam feed
-
Run YOLO-NAS on Google Colab
-
Yolo NAS + DeepSort Tracking
-
Exploring YOLO-NAS + DeepSORT on a custom dataset
-
Yolo NAS with sort object tracking
-
Vehicle counting (entry and exit) using YOLO-NAS and SORT object tracking.
-
Building Computer Vision Web Applications and Why UI is Important
-
Work smoothly with YOLO-NAS integration
-
Deploy your Streamlit web app
-
Streamlight app for counting incoming and outgoing vehicles
-
Empty shelf detection using YOLO-NAS
-
Vehicle license plate recognition using YOLO-NAS
-
Automatic license plate recognition using YOLO-NAS and EasyOCR
-
Automatic License Plate Recognition using YOLO-NAS and PaddleOCR
-
Yolo-NAS multi-camera license plate recognition program
-
Facial Recognition using YOLO-NAS
-
Face recognition and gender classification using YOLO-NAS
-
Thermal map of car intensity YOLO-NAS
-
Integrate YOLO-NAS with Flask and create a web application
-
Personal Protective Equipment (PPE) Identification with YOLO-NAS
-
Web application – Identification of personal protective equipment (PPE).
-
Web Application – Counting vehicles (entry and exit) and tracking SORT objects using YOLO-NAS
-
Enable apps with YOLO-NAS and ChatGPT
-
Creating a ChatGPT article with Python and Streamlit
-
Identifying vegetables with YOLO-NAS
-
Build a Streamlit app using YOLO-NAS and OpenAI to generate recipes
-
Introduction to the Segment Anything Model
-
YOLO-NAS + SAM: Image Segmentation using YOLO-NAS and Segment Anything Model
This course is suitable for those who
- For anyone interested in computer vision
- For all those who study computer vision and want to know how to use YOLO for object recognition
- For all those who want to learn the latest version of YOLO-NAS
- Building deep learning applications with computer vision
- Building Web Applications with Computer Vision
Specifics of the YOLO-NAS OpenAI SAM course with WebApps using Flask and Streamlit
- Publisher: Udemy
- Lecturer: mohammed moeen
- Training level: Beginner to advanced
- Training duration: 17 hours and 51 minutes
- Number of courses: 57
YOLO-NAS OpenAI SAM headlines with WebApps using Flask and Streamlit course in October 2023
Prerequisites of YOLO-NAS OpenAI SAM course with Webapps using Flask and Streamlit
- Python programming experience is an advantage but not required
- Laptop/PC
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