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Ever wanted a quick way to recognize what’s inside a photo without training a model or building a huge pipeline.This article is about running MediaPipe image classifier Python code end-to-end, using a lightweight EfficientNet-Lite0 TensorFlow Lite model to classify a real image in seconds. The real value here is that you get a working, practical […]
MediaPipe image classifier Python with EfficientNet-Lite0 Read More »
Can I Track Dogs in Real-Time with YOLOv11? Instance segmentation is one of the most practical upgrades you can make when object detection alone is not enough.Instead of returning just a bounding box, it predicts a precise pixel mask for every object.That means you can measure shape, area, overlap, and exact boundaries, which is essential
Instance Segmentation Python Tutorial Using YOLO Models in videos Read More »
Introduction Image segmentation with mediapipe is a practical way to separate a subject from its surroundings at the pixel level.Instead of drawing a rectangle around an object, segmentation creates a mask that follows the object’s real outline.That makes edits like background replacement look much cleaner and more realistic. In this tutorial idea, the goal is
Image Segmentation with MediaPipe: Replace Background Read More »
Link to the code here : https://eranfeit.lemonsqueezy.com/buy/689397c8-48d0-4c1a-9ebd-ea4d30be60c8 or here : https://ko-fi.com/s/33640134f0 This new, amazing concept of playing Atari 2600 games is based on using your hands instead of a joystick. Play Atari with AIEvery movement in the game is done by the hands. You can control the game with no joystick. Yes, no Joystick!!! The
A Revolutionary Way to Play Atari 2600 – ( Play Atari 2600 with AI ) Read More »
Introduction This tutorial shows how to perform OpenCV coin detection in Python using Canny edge detection and contour detection. You will load an image of coins, smooth it to reduce noise, extract edges with Canny, and find each coin with contours. Then you will annotate every coin with its index and mark its center on
OpenCV Coin Detection in Python with Canny and Contours Read More »
Introduction This tutorial shows how to use OpenCV template matching in Python to find a smaller image inside a larger image.We will solve a fun Where’s Waldo style problem using a single, simple algorithm.The code reads two images, converts the scene to grayscale, and runs cv2.matchTemplate to measure visual similarity.We then extract the best match
Find Waldo with OpenCV Template Matching in Python Read More »
You can find the video here : https://www.youtube.com/watch?v=fd1msoIpM5Q What you’ll build A Python app that listens for your voice command (for example, “person”, “bottle”, “dog”) and highlights only those objects in the webcam stream. We’ll use: By the end, you’ll speak a class name and the app will box just those detections. You can find
Real-Time Object Detection in Python with Voice Commands (OpenCV + YOLOv4-tiny) Read More »
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
Text detection with Python and Opencv | OCR using EasyOCR Read More »
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
OpenCV Image Comparison in Python: Detect Differences Like a Pro. Read More »
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
Car Detection in Videos with OpenCV and Python Read More »