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Master Computer Vision: Python & OpenCV for Beginners

Master Computer Vision in 30 Days: Dive into Practical Python & OpenCV Projects for Real-World Skills!

5.0 (31)

260 learners

What you'll learn

Understand and implement basic computer vision techniques using Python and OpenCV
Develop image classification models with Scikit Learn and Python
Build a computer vision web application using Streamlit
Analyze and compare different OCR methods for text detection

This course includes

23 hours of video
Certificate of completion
Access on mobile and TV

Course content

1 modules • 31 lessons • 23 hours of video

Master Computer Vision: Python & OpenCV for Beginners

31 lessons • 23 hours

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Learn Computer Vision in 30 Days | 30 Days coding challenge13:08
OpenCV tutorial for beginners | FULL COURSE in 3 hours with Python03:11:10
Detecting color with Python and OpenCV using HSV colorspace | Computer vision tutorial20:00
Face detection and blurring with Python and OpenCV | Computer vision tutorial42:16
Text detection with Python | Tesseract vs Easyocr vs AWS Textract | What is the best OCR?42:15
Image classification with Python and Scikit learn | Computer vision tutorial32:27
Image classification + feature extraction with Python and Scikit learn | Computer vision tutorial22:00
Emotion detection with Python, OpenCV and Scikit Learn | Mediapipe | Landmarks classification34:42
Sign language detection with Python and Scikit Learn | Landmark detection | Computer vision tutorial55:37
Image classification WEB APP with Python and Streamlit | Pneumonia classifier | Computer vision41:08
AWS Rekognition tutorial | Object detection | Computer vision33:24
Yolov8 object tracking 100% native | Object detection with Python | Computer vision tutorial12:35
Image segmentation with Yolov8 custom dataset | Computer vision tutorial46:25
Train pose detection Yolov8 on custom data | Keypoint detection | Computer vision tutorial52:26
Parking spot detection and counter | Computer vision tutorial01:03:02
Train Yolov10 object detection custom data FULL GUIDE | Computer vision tutorial46:51
End to end pipeline real world computer vision project01:01:23
Image processing API with AWS API Gateway + Lambda | Computer vision tutorial40:03
How much data you need to train a compute vision model?20:48
Real world application of computer vision: document classification47:08
Train detectron2 object detection custom data | Computer vision tutorial47:46
Face recognition on your webcam with JavaScript | Computer vision tutorial37:50
Face attendance + face recognition with Python | Computer vision tutorial01:15:29
Machine learning with AWS practical project | Building a security system with Python56:52
Chat with an image | LangChain custom tools tutorial | Python Streamlit | Computer vision54:46
Image generation with Python | Train Dreambooth Stable Diffusion | Face generation | Computer vision32:54
Face recognition + liveness detection: Face attendance system29:33
Face recognition and face matching with Python and DeepFace | Facial analysis | Computer vision18:15
Machine learning web app with Python, Streamlit & Segment Anything Model | Modelbit model deployment01:04:29
Object detection on Raspberry Pi Usb Coral | Real Time Yolov8 on Edge | License plate detection18:25
Image generation with Python & Stable Diffusion | Emotion detection synthetic dataset35:24