Udemy - AI Hand Gesture and Traffic Sign Detection with Python an...
- Category Other
- Type Tutorials
- Language English
- Total size 736.5 MB
- Uploaded By freecoursewb
- Downloads 165
- Last checked 1 week ago
- Date uploaded 7 months ago
- Seeders 7
- Leechers 1
Infohash : A195CBD1272A37C3C6F46DC77F21AA2FA7FF31A8
AI Hand Gesture & Traffic Sign Detection with Python & CV
https://WebToolTip.com
Published 5/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 3m | Size: 733 MB
Real-Time Hand Gesture & Traffic Sign Detection with Python, OpenCV & Deep Learning
What you'll learn
Learn hand gesture and traffic sign recognition for HCI, accessibility, road safety, and autonomous systems.
Set up Python with OpenCV, MediaPipe, TensorFlow for real-time gesture and sign recognition.
Explore gesture and traffic sign detection for control systems, virtual interfaces, and smart transportation.
Detect hand gestures using MediaPipe and classify signs using EfficientNet B0 in real-time.
Recognize gestures like Thumbs Up, Victory, Fist, and classify traffic signs with ML and landmarks.
Preprocess images and videos using resizing, normalization, and augmentation for better model input.
Visualize results with labels, confidence scores, and bounding boxes for easy interpretation.
Train EfficientNet B0 on traffic signs and optimize hyperparameters to improve accuracy.
Handle issues like lighting, occlusions, and low resolution for robust real-world performance.
Use gesture recognition for control, gaming, and accessibility; use sign detection for driving and safety.
Integrate both systems into real-time apps for smart interaction and decision-making.
Requirements
Basic understanding of Python programming (helpful but not mandatory).
A laptop or desktop computer with internet access[Windows OS with Minimum 4GB of RAM).
No prior knowledge of AI or Machine Learning is required—this course is beginner-friendly.
Enthusiasm to learn and build practical projects using AI and IoT tools.
Files:
[ WebToolTip.com ] Udemy - AI Hand Gesture and Traffic Sign Detection with Python and CV- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - Introduction of theTraffic Sign Detection And Recognition System
- 1 -Course Introduction and Features.mp4 (23.6 MB)
- 1 -Training the EfficientNet-B0 Model.mp4 (48.9 MB)
- 1 -Model Inference.mp4 (125.3 MB)
- 1 -Installing Python.mp4 (15.2 MB)
- 2 -VS Code Setup for Python Development.mp4 (19.2 MB)
- 1 -Hand Gesture Detection and Recognition Project Overview.mp4 (10.2 MB) Hand Gesture Recognition
- gesture_recognition.py (5.9 KB)
- gesture_recognizer.task (8.0 MB)
- pointing_out.png (5.6 KB)
- requirementx.txt (0.0 KB)
- thumbs_down.png (5.7 KB)
- thumbs_up.jpg (46.4 KB)
- victory.jpeg (12.2 KB)
- 1 -Explanation of Required Packages for Hand Gesture Recognition.mp4 (8.1 MB)
- 1 -Understanding and Customizing Key Variables in Hand Gesture Recognition.mp4 (12.6 MB)
- 1 -Annotating Frames with Gesture and Hand Landmarks.mp4 (13.9 MB)
- 1 -Real-Time Gesture Recognition and Frame Annotation.mp4 (13.4 MB)
- 1 -Capturing Frames and Updating Tkinter Window in Real-Time.mp4 (19.1 MB)
- 1 -Tkinter Implementation for Real-Time Hand Gesture Recognition.mp4 (19.9 MB)
- 1 -Installing Python.mp4 (15.2 MB)
- 2 -VS Code Setup for Python Development.mp4 (19.2 MB)
- 1 -Package Installation for Hand Gesture Recognition System.mp4 (10.0 MB)
- 1 -Hand Gesture Recognition Code Execution.mp4 (24.4 MB)
- 1 -Course Wrap-Up.mp4 (9.1 MB)
- 1 -Google Colab Setup.mp4 (20.6 MB) Traffic Sign Detection and Recognition Traffic Sign Test Img
- traffic sign test 1.jpg (45.5 KB)
- traffic sign test 2.jpg (32.7 KB)
- traffic sign test 3.jpg (42.9 KB)
- Traffic_Sign_Detection_and_Recognition.ipynb (1.1 MB) 4 - Packages Installation
- 1 -Packages Installation.mp4 (12.4 MB)
- 1 -Dataset Preparation.mp4 (78.2 MB)
- 1 -Utils Function.mp4 (26.3 MB)
- 1 -Loss function.mp4 (55.3 MB)
- 1 -EfficientNet-B0 Model Implementation Info.mp4 (76.0 MB)
- 1 -Model Training configuration.mp4 (51.0 MB)
- Bonus Resources.txt (0.1 KB)
There are currently no comments. Feel free to leave one :)
Code:
- udp://tracker.torrent.eu.org:451/announce
- udp://tracker.tiny-vps.com:6969/announce
- http://tracker.foreverpirates.co:80/announce
- udp://tracker.cyberia.is:6969/announce
- udp://exodus.desync.com:6969/announce
- udp://explodie.org:6969/announce
- udp://tracker.opentrackr.org:1337/announce
- udp://9.rarbg.to:2780/announce
- udp://tracker.internetwarriors.net:1337/announce
- udp://ipv4.tracker.harry.lu:80/announce
- udp://open.stealth.si:80/announce
- udp://9.rarbg.to:2900/announce
- udp://9.rarbg.me:2720/announce
- udp://opentor.org:2710/announce