CV Hands On

Optical Character Recognition (OCR) Optical Character Recognition (OCR) A guide to converting text from images into machine-encoded text using an OCR engine like Tesseract . Libraries and Tools Used This project uses a combination of image processing and a dedicated OCR engine: pytesseract: A Python wrapper for Google's Tesseract OCR engine. cv2 (OpenCV): For loading and preprocessing the image to improve OCR accuracy. Pillow (PIL): A library for handling image files, often used by `pytesseract`. 1. Image Preprocessing What the code does: It ...

Pose Estimation Pose Estimation A guide to detecting and tracking the body posture of a person in an image or video using a pre-trained model like MediaPipe . Libraries and Tools Used This project uses a specialized framework for computer vision pipelines: mediapipe: Google's framework for building and deploying ML pipelines. It provides a pre-built pose solution. cv2 (OpenCV): For capturing video from a webcam and displaying the results. 1. Initialize the Pose Model What the code does: It imports the necessary libraries and initializes the MediaPipe Pose model. The model is configured to detect ...

Visual Search Engine Visual Search Engine A guide to creating a system where a user can upload an image and find other visually similar images. Libraries and Tools Used This project uses a combination of deep learning and vector search libraries: tensorflow: For using a pre-trained CNN to extract image features. numpy: For handling the numerical representations (embeddings) of images. FAISS: A library for efficient similarity search on dense vectors. 1. Feature Extraction with a CNN What the code does: It loads a pre-trained CNN model (like VGG1...

Simple Augmented Reality (AR) App Simple Augmented Reality (AR) App A guide to overlaying a virtual object onto a specific marker in a video feed using basic Computer Vision . Libraries and Tools Used This project uses key Python libraries for Computer Vision and linear algebra: cv2 (OpenCV): The primary library for video capture and ArUco marker detection. numpy: Essential for handling matrix operations for camera calibration and pose estimation. 1. Camera Calibration and Marker Generation What the code does: It generates a simple ArUco marker and outlines how to use camera calibration parameters. ...

Image Captioning Image Captioning A guide to combining a CNN and an RNN to generate a natural language description for a given image. Libraries and Tools Used This project requires deep learning frameworks and a library for image handling: tensorflow: The deep learning framework for both the CNN and RNN parts of the model. numpy: For numerical operations on image and text data. cv2 (OpenCV): To load and preprocess images. 1. The Encoder: A CNN for Feature Extraction What the code does: It loads a pre-trained CNN model (like InceptionV3), remov...

Real-Time Object Counter Real-Time Object Counter A guide to creating a program that counts the number of objects crossing a virtual line in a video feed. Libraries and Tools Used This project combines object detection and tracking libraries: ultralytics: Provides the pre-trained YOLO model for object detection. cv2 (OpenCV): For video processing and displaying the output. 1. Load Model and Define Counter What the code does: It loads the YOLOv8 model for object detection and defines a simple `Counter` class. This class will keep track of detected objects and ensure they are only counted once. ...