OpenCV Detection Project

Recently, I've been working on a face😀, eye👁 and body🚶 detection it is finally working!🕺 The source codes basically uses a image, video or the camera as user input and displays the type of detection desired by the user.

👨‍💻 The basic layout of detection through images is to create a classifier, open and fix the image colors and then using .detectMultiScale function is cascade classifiers to detect the face, eye or full body. 📽 As far the as the input video is concerned, a while loop is preferred which captures the frames from the video and delivers the result on it. Image processing still requires some adjustments

🎇I'm very new to all this and so, I took a project offered by Ilias Papachristos (Data Analyst - Scientist). I'm sharing the the source code on my GitHub. Feel free to alter and hit me up!!!

👨‍🏫 Also, I'd like to clearly state it: This is not something new, it has already been implemented years ago and even open sourced. I just stitched the pieces of several codes together and altered it to what I wanted to detect.

⚡ TechStack Used

This section lists all the technologies that I used to built this project.

• Pyhton
• Jupyter
• OpenCV
• Matplotlib

🚀 Getting Started

Prerequisites

1. Clone the repo

   $ git clone https://github.com/yuvrajverma01/OpenCV-DetectionProject.git

2. Install Numpy

   $ pip install numpy

3. Install Matplotlib

   $ pip install matplotlib

4. Install OpenCV

   $ pip install opencv-python

5. Install Jupyter Notebook

   $ pip install notebook

6. Initialise Jupyter Notebook

   $ jupyter-notebook

7. Run Codeinjupyter file

📁 File Structure

The file structure of the current project is structured as shown below:

OpenCV-DetectionProject
    ├── Images
    ├── Video
    ├── Code.py
    ├── Codeinjupyter.ipynb
    ├── cascade_eye.xml
    ├── cascade_frontalface_default.xml
    ├── cascade_fullbody.xml
    └── haarcascade_car.xml

❤ About Me

Made with ❤ by Yuvraj Verma.