Eran Feit Blog posts

Car Detection in Videos with OpenCV and Python

OpenCV /
OpenCV Background Subtraction for Car Detection in Python

Why Background Subtraction Works for Car Detection Car detection in video starts by separating moving objects from a static background. Background subtraction is a simple yet powerful technique to isolate the foreground and extract moving vehicles:contentReference[oaicite:0]{index=0}. It’s ideal for traffic scenes where the background continuously changes and no “clean” background image is available:contentReference[oaicite:1]{index=1}. By combining […]

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How to Extract Text from Scanned Books with Python and OpenCV

OpenCV /
OpenCV Word Segmentation

Introduction — Bringing Old Pages to Digital Life Optical Character Recognition (OCR) is a technology used to extract text from images which is used in applications like document digitization, license plate recognition and automated data entry. If you’ve ever wanted to digitize a physical book or scanned document, you know that the hardest part is getting

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Image Segmentation in OpenCV with Python and Contours

OpenCV, Image Segmentation /
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 /
OpenCV Image Segmentation with K-Means in Pytho

Introduction Image segmentation is the process of partitioning an image into meaningful regions (segments) — for example separating foreground from background, isolating objects, or splitting an image into zones of similar color or texture. One classic and relatively simple technique for segmentation is K-means clustering applied in color (or feature) space. In this post, we’ll

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Real-Time Image Classification with Jetson Nano and OpenCV — Complete Guide

Jetson Nano /
Jetson Image Classification

Introduction to real-time image classification with Jetson Nano and Python In this tutorial, we will build a real-time image classification using Jetson Nano Inference and OpenCV in Python.The code connects to a webcam, captures live video, classifies each frame using a deep learning model (GoogLeNet), and overlays the recognized object name directly onto the video

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How to Build a Real-Time Video Classifier on NVIDIA Jetson Nano with Python

Jetson Nano /
jetson nano real time image classification

Introduction Real‑time video classification on edge devices opens exciting possibilities—from wildlife monitoring to smart kiosks. NVIDIA’s Jetson Nano is a compact AI computer designed for these tasks. This tutorial walks through building a real‑time video classifier using OpenCV and Python on the Jetson Nano. You’ll learn how to load a pre‑trained neural network (GoogLeNet), process each video

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How to classify objects using Jetson Nano inference and OpenCV ?

Jetson Nano /
jetson nano image classification

Jetson Nano Image Classification with OpenCV and Python Introduction This tutorial shows how to run Jetson Nano image classification with Python and OpenCV.You will use the NVIDIA Jetson Inference library with GoogleNet to recognize objects in a single image. The goal is to build a CUDA-accelerated pipeline that loads an image, classifies it on the

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Getting started with Jetson Nano | How to install Jetson Nano inference tutorial to classify objects

Jetson Nano /
jetson nano setup

How to Install jetson-inference on Jetson Nano (Complete Build Tutorial) – Jetson Nano Setup Jetson Nano Setup Overview Setting up Jetson Nano correctly is the fastest way to start deploying AI models at the edge. In this guide you will install all required developer tools, clone NVIDIA’s jetson-inference repository, and compile it from source. You

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What actually sees a CNN Deep Neural Network model ?

TensorFlow tutorials /
visualize CNN

Welcome to our comprehensive image classification tutorial series! In this tutorial playlist, consisting of five informative videos, we will guide you through the entire process of classifying monkey species in images, utilizing vgg16 transfer learning and CNN filter visualization. This is part of our TensorFlow image classification tutorial series! Each video focuses on a specific

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Eran Feit