Smart-computer-vision-application

Backend : opencv and python

Library required:

• opencv = '4.5.4-dev'
• scipy = '1.4.1'
• numpy = '1.19.2'
• mediapipe = '0.8.9.1'

NOTE:

• All required code files uploaded so don't need to install any external files or application

Quick Overview about structure

1) smart_vision_app.py

• Manage different operation modes and perform specific operations.
• Draw landmarks and display output image.

2) virtual_drawingpad.py

• use hand_landmark_detection module to detect hands landmarks
• use finger point corrdinates to draw lines (set of points)

3) hand_landmark_detection.py

• use mediapipe lib to detect hand landmarks.
• count number of fingers

4) face_landmark_detection.py

• use mediapipe lib to detect face landmarks.
• recognize facial expression from face key points
• maintain eye blink counter
• other operations

5) filters.py

• apply different inbuilt filters(HSV, HLS, GRAY)
• apply differnet custom filters(cartoon,histeq,blurry)

How to use

1. clone this directory

2. use following command to run detection and tracking on your custom video

python smart_vision_app.py

• Note : Before executing this command make sure that you have installed all required libs and all above .py files reside in same folder

Results

• output:1 (operation mode : Draw) https://user-images.githubusercontent.com/69752829/148802457-cf18dc03-aa47-431a-8bb4-a55451782d05.mp4

• output:2 (operation mode : Face ) https://user-images.githubusercontent.com/69752829/148802384-c4b7904d-3f7e-467e-a9c7-5e01656820d1.mp4

• output:3 (operation mode : Filter) https://user-images.githubusercontent.com/69752829/148797658-6e32dc36-89ba-470e-b228-dd1032795bac.mp4

• output:4 (operation mode : Hands ) https://user-images.githubusercontent.com/69752829/148800380-2ee83f46-c860-42c4-8146-7409aea4e56a.mp4

If it's helpful for you then please give star Thank You :)