Description
YOLO-NAS OpenAI SAM course with WebApps using Flask and Streamlit. Welcome to the course This comprehensive course covers YOLO-NAS, Segment Anything Model and ChatGPT and provides hands-on projects, applications and web application development using Flask and Streamlit projects with Real World 16+. This course covers object detection, tracking, and web application development using popular frameworks such as Flask and Streamlit. This course also includes image segmentation using YOLO-NAS and the Segment Anything model. but this is not the whole story! We’re going even further by exploring the development of Streamlit apps, 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 at 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 videos
- Object detection with YOLO-NAS in live webcam feed
- Run YOLO-NAS on Google Colab
- YOLO-NAS + DeepSORT Tracking
- Tracing YOLO-NAS + DeepSORT on custom datasets
- YOLO-NAS with SORT object tracking
- Vehicle counting (entry and exit) using YOLO-NAS and SORT object tracking
- Building a Computer Vision web application and why UI is important
- Work smoothly with YOLO-NAS integration
- Turn YOLO-NAS on images
- Turn YOLO-NAS on videos
- Deploy your Streamlit web app
- Streamlit app to count 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
- Face recognition using YOLO-NAS
- Face blur 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
- Identification of personal protective equipment (PPE) with YOLO-NAS
- Web Application – Identification of Personal Protective Equipment (PPE).
- Web application – count vehicles (entry and exit) using YOLO-NAS and SORT object tracking
- Turn on apps with YOLO-NAS and ChatGPT
- Creating a ChatGPT article with Python and Streamlite
- Identifying vegetables with YOLO-NAS
- Create a Streamlit app using YOLO-NAS and ChatGPT to generate recipes
- Introducing 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 detection
-
What’s new at 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 videos
-
Object detection with YOLO-NAS in live webcam feed
-
Run YOLO-NAS on Google Colab
-
YOLO-NAS + DeepSORT Tracking
-
Tracing YOLO-NAS + DeepSORT on custom datasets
-
YOLO-NAS with SORT object tracking
-
Vehicle counting (entry and exit) using YOLO-NAS and SORT object tracking
-
Building a Computer Vision web application and why UI is important
-
Work smoothly with YOLO-NAS integration
-
Turn YOLO-NAS on images
-
Turn YOLO-NAS on videos
-
Deploy your Streamlit web app
-
Streamlit app to count 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
-
Face recognition using YOLO-NAS
-
Face blur 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
-
Identification of personal protective equipment (PPE) with YOLO-NAS
-
Web Application – Identification of Personal Protective Equipment (PPE).
-
Web application – count vehicles (entry and exit) using YOLO-NAS and SORT object tracking
-
Turn on apps with YOLO-NAS and ChatGPT
-
Creating a ChatGPT article with Python and Streamlite
-
Identifying vegetables with YOLO-NAS
-
Create a Streamlit app using YOLO-NAS and OpenAI to generate recipes
-
Introducing the Segment Anything model
-
YOLO-NAS + SAM: Image segmentation using YOLO-NAS and Segment Anything model
This course is suitable for people who
- For anyone interested in computer vision
- For everyone who studies computer vision and wants to know how to use YOLO for object recognition
- For everyone who wants to learn the latest version of YOLO-NAS
- Building deep learning applications with computer vision
- Making web applications with Computer Vision
Specifications of the YOLO-NAS OpenAI SAM course with WebApps using Flask and Streamlit
- Publisher: Udemy
- teacher: Muhammad Moin
- Training level: beginner to advanced
- Training duration: 17 hours and 51 minutes
- Number of courses: 57
Headlines of YOLO-NAS OpenAI SAM with WebApps using Flask and Streamlit course on October 2023
Prerequisites of the YOLO-NAS OpenAI SAM course with WebApps using Flask and Streamlit
- Python programming experience is an advantage but not required
- Laptop/PC
Course images
Sample video of the course
Installation guide
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English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
21.8 GB