Virtual Painter using OpenCV3

An openCV application that uses Python and MediaPipe to detect hands, hand landmarks, and then use them to paint on a live webcam.

Workflow: -- Design 4 different images/headers that overlay on the openCV dsiplay as you change painter colors.

Eraser Selected: Red selected: Yellow Selected: Purple Selected:

-- Write a program to Open Webcam and use MediaPipe to detect hand's landmarks (HandTracking.py)

-- Convert HandTracking.py to a module (HandTrackingModule.py) with a few modifications.

--- class handDetector(): //contains methods to find a hand, detect landmarks and count the number of fingers
     function findHands(): 
            //simply uses mediapipe to detect hands
     function findPosition():
            //uses mediapipe to return a list of landmarks tuples (landmark_Num, x_landmark, y_landmark)
     function fingersUp():
            //You can find the id for each landmark and the finger it corresponds to in the meediapipe 
            documentation
            //If (finger tip detected):
                  finger is up
              else:
                  finger is down

-- For the main VirtualPainter.py:

  if (hand detedcted):
      if (finger tips detected):
          count how many fingers up
          if (count == 2):
              selection mode
              //now, find the coordinates of the finger tip and if it's close to a certain part of the header
              //change the color or choose the eraser
          if (count == 1):
              drawing mode
              //use openCV line to draw lines but keep updating the new and previous x,y coordinates of
              finger tips, so lines are not awkward and straight
              
   //Create three different canvases
   //1. Webcam (img) 2. blank black canvas (imgCanvas) 3. inverse of canvas 2 (imgInv)
   imgCanvas -> grayImg -> imgInv
   img = img biwise& imgInv
   img = img bitwise| imgCanvas

   Display final img.