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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

0 min of video
Certificate of completion
Access on mobile and TV

Course content

1 modules • 31 lessons • 0 min 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