OpenCV & Gemini AI: Create Your Own Image Filters & Object Detection in Python

Build a powerful computer vision application using Python's OpenCV library and Google's Gemini models. Learn how to process images by applying various filters and then enhance your project with the power of AI for advanced analysis.

What you will learn:
• Computer Vision Basics with OpenCV: Understand how to load and display images, convert between different color spaces (like BGR to RGB and Grayscale), and apply classic image filters such as Gaussian blur and edge detection using Canny.
• Advanced Image Analysis with Google Gemini AI: Discover how to integrate Gemini to describe images, detect objects (including their locations and colors), and even extract text (OCR) from images.
• Computer Vision Recommendations: See how Gemini can act as an expert to suggest specific computer vision techniques and OpenCV functions for various tasks based on an image

The techniques covered are similar to those used in many popular mobile applications like Instagram for image processing and filter application

OpenCV Tutorial
Gemini AI
Python Computer Vision
Image Processing Python
Create Photo Filters
Object Detection
Edge Detection OpenCV
Gaussian Blur
Grayscale Image
Color Space Conversion
OpenCV Functions
Google Generative AI
AI Image Analysis
OCR Python
Python Project
Coders Academy
Programming Tutorial
Computer Vision Expert
Machine Learning Project
Deep Learning

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Timestamps
0:01 Introduction
0:42 How to setup the python project for OpenCV
1:32 Dependencies needed for OpenCV
1:50 Basics of computer vision & opencv, code walkthrough, color spaces, cvt function
6:13 How to create gray scale image filter
7:07 How to create blurry image filter
8:02 How to create edges
9:29 Demo 1: Computer vision basics
10:58 How to use OpenCV with Gemini AI
13:01 Gemini AI prompt for image analysis
16:24 Demo 2: Computer Vision with Gemini AI
21:11 Conclusion

Your Questions
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