Practical Computer Vision Mastery: 20+ Python & AI Projects

Year of issue : 6/2025
Manufacturer : Udemy
Manufacturer’s website :

https://www.udemy.com/course/computer-vision-mastery-real-time-projects-opencv-python-ai-yolo/

Author : Muhammad Yaqoob G
Duration : 16h 14m 23s
Type of distributed material : Video lesson
Language : En
Subtitles : En

Description:
Master Computer Vision Course in 2025 with Deep Learning, Python, OpenCV, YOLO, OCR & GUI through 20+ handson projects
What you’ll learn
Understand the origins, evolution, and real-world impact of AI, with a focus on computer vision’s role in modern applications.

Install and configure Python and VS Code for seamless development of vision-based projects on any platform.

Apply OpenCV fundamentals-reading, writing, displaying, resizing, cropping, and color-space conversion of images and videos.

Implement image processing techniques such as thresholding, morphological transforms, bitwise operations, and histogram equalization.

Detect edges, corners, contours, and keypoints; match features across images to enable object recognition and scene analysis.

Leverage advanced methods-Canny edge detection, texture analysis, optical flow, object tracking, segmentation, and OCR with Tesseract.

Build a smart face‐attendance system: enroll faces, extract embeddings, train a model, and launch a Tkinter GUI for live recognition.

Create a driver-drowsiness detector using EAR/MAR metrics, integrate it into a Tkinter dashboard, and run real-time video inference.
Requirements
Basic Python programming knowledge

Windows PC or Laptop with 4GB+ RAM is recommended. A GPU is optional but helpful for faster model training and processing large datasets or real-time tasks.
Description
Unlock the power of image- and video-based AI in 2025 with 20+ real-time projects that guide you from foundational theory to fully functional applications. Designed for engineering and science students, STEM graduates, and professionals switching into AI, this hands-on course equips you with end-to-end computer vision skills to build a standout portfolio.
Key Highlights:
Environment Setup & Basics: Install Python, configure VS Code, and master OpenCV operations-image I/O, color spaces, resizing, thresholding, filters, morphology, bitwise ops, and histogram equalization.

Core & Advanced Techniques: Implement edge detection (Sobel, Canny), contour/corner/keypoint detection, texture analysis, optical flow, object tracking, segmentation, and OCR with Tesseract.

Deep Learning Integration: Train and deploy TensorFlow/Keras models (EfficientNet-B0) alongside YOLOv7-tiny and YOLOv8 for robust detection tasks.

GUI Development: Build interactive Tkinter interfaces to visualize live video feeds, detection results, and system dashboards.
20+ Hands-On Projects Include:
Smart Face Attendance with face enrollment, embedding extraction, model training, and GUI integration.

Driver Drowsiness Detection using EAR/MAR algorithms and real-time alert dashboards.

YOLO Object & Weapon Detection pipelines for live inference and visualization.

People Counting & Entry/Exit Tracking with configurable line-coordinate logic.

License-Plate & Traffic Sign Recognition leveraging Roboflow annotations and custom model training.

Intrusion & PPE Detection for workplace safety monitoring.

Accident & Fall Detection with MQTT alert systems.

Mask, Emotion, Age/Gender & Hand-Gesture Recognition using custom-trained vision models.

Wildlife Identification with EfficientNet-based classification in live streams.

Vehicle Speed Tracking using calibration and object motion analysis.
By course end, you’ll be able to:
Develop, train, and fine-tune deep-learning vision models for diverse real-world tasks.

Integrate CV pipelines into intuitive GUIs for live video applications.

Execute industry-standard workflows: data annotation, training, evaluation, and deployment.

Showcase a portfolio of 20+ complete projects to launch or advance your AI career.
Enroll today and start building your first real-time computer vision app!
Who this course is for:
Undergraduate and Graduate Students in engineering, computer science, electronics or related fields seeking hands-on CV projects to complement their studies.

Recent Graduates with STEM degrees who want to build practical AI skills and showcase real-world projects on their résumé.

Working Professionals in software, electronics, robotics or data roles aiming to pivot into AI/ML and leverage vision applications in industry.

Career-Switchers from STEM Fields (e.g., physics, mathematics, biotech) looking for a structured path into computer vision without starting from scratch.

R&D Engineers & IoT Developers who need to integrate vision analytics on edge devices like Jetson, Raspberry Pi or in cloud pipelines.

Self-Learners & Hobbyists with a science/engineering mindset who want to master end-to-end CV workflows-from algorithm basics to GUI deployment and model inference.
Video format : MKV
Video : avc, 1920×1080, 16:9, 29.845 fps, 1978 kbps
Audio : aac lc sbr, 44.1 kHz, 62.8 kbps, 2 audio

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📌 Udemy – Practical Computer Vision Mastery 20+ Python & AI Projects (6.2025) (12.63 GB)

RapidGator Link(s)

https://rapidgator.net/file/2d63e1c1c4728eece06d5c729d0c899a/Udemy.-.Practical.Computer.Vision.Mastery.20.Python..AI.Projects.6.2025.part1.rar

https://rapidgator.net/file/3560101e28163475cb8c74435e8c81ca/Udemy.-.Practical.Computer.Vision.Mastery.20.Python..AI.Projects.6.2025.part2.rar

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https://rapidgator.net/file/4b026aec5f72f05901eeef0c9fb4302a/Udemy.-.Practical.Computer.Vision.Mastery.20.Python..AI.Projects.6.2025.part5.rar

NitroFlare Link(s)

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