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OpenCV

Real-Time Object Detection in Python with Voice Commands

How to detect object using voice yolo tutorial

Introduction In this tutorial, you will build a voice-controlled, real-time object detection app in Python using OpenCV DNN and YOLOv4-tiny, powered by Speech Recognition for speech-to-text. The goal is to let you speak the name of an object and instantly highlight matching detections on the live camera feed.This approach blends real time object detection python

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Text detection with Python and Opencv | OCR using EasyOCR

text detection

Text Recognition in Images with OpenCV and EasyOCR This Python script demonstrates how to perform text recognition in image files using the combined power of OpenCV, EasyOCR, and Matplotlib. The process begins by loading an image with text recognition OpenCV techniques, then detecting and extracting text using EasyOCR’s pre-trained English model. The detected text is

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OpenCV Image Comparison in Python: Detect Differences Like a Pro.

OpenCV image comparison

Introduction This tutorial shows how to build an OpenCV image comparison pipeline in Python that detects visual differences between two images and highlights them with bounding boxes.You will learn how to preprocess the input, isolate the two pictures inside a collage, align their sizes, compute pixel-wise differences, reduce noise, and extract clean contours of the

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OpenCV Background Subtraction for Car Detection in Python | Detect moving cars

OpenCV Background Subtraction for Car Detection in Python

Introduction In this tutorial you will build a fast and lightweight car detection pipeline in Python using OpenCV background subtraction.The approach uses the MOG2 model to separate moving vehicles from a static scene, making it ideal for traffic videos and fixed cameras. You will generate a clean foreground mask, refine it with morphology, and detect

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How to Extract Text from Scanned Books with Python and OpenCV

OpenCV Word Segmentation

Introduction This tutorial shows how to perform OpenCV word segmentation in Python to prepare scanned pages for OCR.You will learn to isolate text with thresholding, smooth noise with Gaussian blur, merge characters into words using dilation, and detect text regions with contours. We first segment lines, then segment words within each line, and finally draw

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Image Segmentation in OpenCV with Python and Contours

OpenCV Image Segmentation

Introduction In this tutorial, you will learn a practical pipeline for OpenCV image segmentation in Python.We will convert an image to grayscale, apply a smart binary threshold, detect contours, and then build a mask to extract the main object.This workflow is fast, reproducible, and ideal for object extraction, background removal, and preprocessing for computer vision

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Python Image Segmentation Made Easy with OpenCV and K-means Algorithm

OpenCV Image Segmentation with K-Means in Pytho

Introduction K-Means image segmentation is a simple and effective way to partition an image into meaningful color regions.This tutorial shows how to implement K-Means segmentation in Python using OpenCV. You will learn how to reshape image pixels, cluster them into K groups, and rebuild a segmented image from cluster centroids. This approach is great for

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