Python Object Detection Project Planner

Introduction

In this project, we will be using OpenCV2 to develop an object detection system using Python. OpenCV2 is a powerful computer vision library that provides various functions and tools for image and video processing.

Objectives

The objectives of this project are:

To understand the basics of object detection using OpenCV2
To develop an object detection system using Python
To test the system with different objects and scenarios

how the model gets the guess

class_id

the class of the object just like object-oriented programming

the classes that the training model can predict are in the

requirements.txt

score

the score of the guess of the object

boxes

the boxes surrounded around the object with coordinates

while True:
    ret, frame = cap.read()
    
    #object dection()  #bboxes or boxes 
    (class_ids, scores, bboxes)= model.detect(frame) #class ids, score, boxess

  #display objects
    for class_id, score, bbox in zip(class_ids, scores, bboxes):
        (x, y, w, h) = bbox
        print(x, y, w, h)
        cv2.rectangle(frame, (x,y), (x + w, y +h), (200, 0, 90), 4)

Project Plan

Research: Conduct research on object detection using OpenCV2 and Python. Here are some useful articles to get started: