Detections in Computer Vision

This project contains Detections using EasyOCR, OpenCV etc.

Table of Contents

• Introduction
• Folder Structure

Introduction

The project comprises two separate functionalities:

1. Object Detection: Utilizes YOLO (You Only Look Once) model to detect and track objects in real-time using webcam input.

2. Number Plate Detection: Implements license plate detection and recognition using OpenCV on static images.

3. Contour Detection: Implements edge detection.

4. Body Detection: Implements face and eye recognition using haarcascade files as well as mediapipe.

5. Color Detection: Implements color detection in real time.

6. Text Detection: Implements text detection in real time as well as on static images using EasyOCR.

Folder Structure

The project directory is structured as follows:

• Object_Detection: Contains files related to object detection functionality.

  • yolov8n.pt: YOLO model file for object detection.
  • main.py: Python script for performing object detection using the YOLO model.

• Number_Plate_Detection: Contains files related to number plate detection functionality.

  • haarcascade_license_plate_rus_16stages.xml: Cascade classifier for license plate detection.
  • easyocr: Directory containing EasyOCR model files (downloaded automatically).
  • p1.jpg: Sample image for number plate detection.
  • main.py: Python script for detecting and recognizing number plates in images.

• Contour_Detection: Contains files related to edge detection functionality.

  • birds.jpg: image for contour detection.
  • main.py: Python script for performing edge detection.

• Body_Detection: Contains files related to body(face and eyes) detection functionality.

  • haarcascade_frontalface_default: haarcascade file for face detection.
  • haarcascade_eye: haarcascade file for eye detection.
  • main.py: Python script for performing body detection.

• Color_Detection: Contains files related to color detection functionality.

  • lambo.png: image for detecting the color.
  • main.py: Python script for performing color detection.

• Text_Detection: Contains files related to text detection functionality.

  • test1.png: image for detecting the text.
  • main.py: Python script for performing real time text detection.