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Introduction: Python Opencv - Realtime Object Detection

This document created for explaining the steps of Python - opencv based Realtime Object Detection.

Lets Welcome.

Here I'm using Linux mint latest Operating System and following are installation and basic setups for Python - opencv Real-time Object detection Project.

Here I'm trying to do experimental project and explained it as a tutorial for interested people. I tried to cover all basic to advanced level of python coding scenarios.

In this Epic I tried to cover following areas of development.

Project Included with :-

Python Installation and Basic Setups
Basics of Images and dimensions Calculations
Capture Images, Videos and Web cam
Basic Functions
Resizing and Cropping
Shapes and Texts
Warp Perspective
Joining Images
Colour Detection, Contours / Shape Detection
Face Detection
Virtual Pain
Document Scanner
Number Plate Detection

Above mentioned items will get uploaded on sequence of chapters.

You can go through the Intro part of the Python - opencv Real-time Object Detection below,

Step 1: Python Openv - Real-time Object Detection - INTRO

Step 2: Chapter 1 - Python Installation and Basic Setups

Here I'm covering Python3 installation, PyCharm IDE installtion and Other setup for running our Project.

Python 3 Installation (python 3.8.2)

For python installation , it will take only few minutes for installation and basic verification of installed version. Checkout python official Site for getting the latest version details (here I'm installing 3.8.2 version)

1. Change user to Super User mode

              sudo su

              Password *********

2. update and upgrade the packages

              apt-get update

apt-get upgrade

3. python version installation

apt-get install python3.8.2

4. After installation Check Version

              python3 -V

Installation of following Package would be beneficial for further proceeding of our project

1. install pip3 Package

Repeat Step 2 of Above Installation, then execute the following command

              apt-get install python3-pip

2. Check Installed version

              pip3 --version

Installation of open-cv package for Object detection.

1. install opencv using pip command

              pip3 install opencv-python

You can see downloading of data and installation of packages

2. Verifying opencv package

open terminal and enter "pyhton3" to activate the terminal as python editor

enter import statement, print statements

import cv2 as cv

print("Hello World!...")

print(cv.__version__)

ctrl + z to exit editor.

PyCharm Installation (Community Version)

PyCharm IDE selected for development of this project, following will explain how to install PyCharm in your beast.

1. Get the Latest PyCharm installation from official download site (PyCharm Download) and download Community version

2. Extract the download and get into pycharm-community-2020.2.1/bin/ and run pycharm.sh

3. Install the plugins, which mentioned in the PyCharm IDE.

Create a short cut for PyCharm IDE

1. Open Terminal and switch to Super User mode

2. Change directory to /usr/share/applications (check the available files by using ls command )

3. Create a file named pycharm.desktop

[Desktop Entry]<br>Type=Application Name=PyCharm IDE GenericName=For Specifically for Python Exec="your directory path"/pycharm-community-2020.2.1/bin/pycharm.sh Icon="your directory path"/pycharm-community-2020.2.1/bin/pycharm.png Terminal=false Categories=Development;

4. Check application menu, you can find pycharm application list there

Step 3: Python Installation and Basic Setup - Video Presentation

Step 4: Basics of Images and Dimensions

Step 5: Capture Images, Videos and Webcam

Sample Code included in the git hub repo, you can refer below url . In future repository will update with real-time object detection codes.

https://github.com/JijovarghesePunalur/pythonOpenC...

Step 6: Chapter 4 - Basic Functions of Images

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