Add boggle eyes to pictures

README.md

Boggle.py

This is a script for adding boggle eyes to pictures using Haar Cascades. You have to tweak the imgname var to the name of your filename (png, jpg, whatever). You may also have to tweak parameters if the eyes aren't recognized. Here is an example output. The boggle eyes always look down, but it wouldn't be too hard to rotate them. The jpgs for the boggle eyes aren't included.

You have permission to do whatever you want with it, I really don't care it's a script that puts boggle eyes on things. Example project is making a twitter bot that replies with boggle eyes on profile pictures.

Example output

License

    DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE 
                Version 2, December 2004 

Copyright (C) 2015 John Walker

Everyone is permitted to copy and distribute verbatim or modified copies of this license document, and changing it is allowed as long as the name is changed.

        DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE 

TERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION

0. You just DO WHAT THE FUCK YOU WANT TO.

boggle.py

#!/usr/bin/python2

import cv2
import numpy as np


import PIL
from PIL import Image

face_cascade = cv2.CascadeClassifier('/usr/share/opencv/haarcascades/haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('/usr/share/opencv/haarcascades/haarcascade_eye.xml')
imgname = 'hunter2.png'
frame = cv2.imread(imgname)
boggle = cv2.imread("boggle.png", -1)

boggleGray = cv2.cvtColor(boggle, cv2.COLOR_BGR2GRAY)
ret, orig_mask = cv2.threshold(boggleGray, 10, 255, cv2.THRESH_BINARY)
orig_mask_inv = cv2.bitwise_not(orig_mask)

boggle = boggle[:,:,0:3]
origBoggleHeight, origBoggleWidth = boggle.shape[:2]

gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.12, 3)
print(faces)
for (x,y,w,h) in faces:
    # cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),2)
    roi_gray = gray[y:y+h, x:x+w]
    roi_color = frame[y:y+h, x:x+w]
    eyes = eye_cascade.detectMultiScale(roi_gray, 1.12, 3)
    # for (ex,ey,ew,eh) in eyes:
    #     cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
    c = 0
    for (ex, ey, ew, eh) in eyes:
        c += 1
        if not (c == 4 or c == 2):
            continue
        glassesWidth = ew
        glassesHeight = eh
        scale = 4

            # Center the glasses on the bottom of the nose
        x1 = ex - (ew/scale)
        x2 = ex + (ew/scale) + ew
        y1 = ey - (eh/scale)
        y2 = ey + (eh/scale) + eh       

                # Check for clipping
        if x1 < 0:
            x1 = 0
        if y1 < 0:
            y1 = 0
        if x2 > w:
            x2 = w
        if y2 > h:
            y2 = h

            # Re-calculate the width and height of the glasses image
        glassesWidth = x2 - x1
        glassesHeight = y2 - y1

            # Re-size the original image and the masks to the glasses sizes
            # calcualted above
        glasses = cv2.resize(boggle, (glassesWidth,glassesHeight), interpolation = cv2.INTER_AREA)
        mask = cv2.resize(orig_mask, (glassesWidth,glassesHeight), interpolation = cv2.INTER_AREA)
        mask_inv = cv2.resize(orig_mask_inv, (glassesWidth,glassesHeight), interpolation = cv2.INTER_AREA)

            # take ROI for glasses from background equal to size of glasses image
        roi = roi_color[y1:y2, x1:x2]

            # roi_bg contains the original image only where the glasses is not
            # in the region that is the size of the glasses.
        roi_bg = cv2.bitwise_and(roi,roi,mask = mask_inv)

            # roi_fg contains the image of the glasses only where the glasses is
        roi_fg = cv2.bitwise_and(glasses,glasses,mask = mask)

            # join the roi_bg and roi_fg
        dst = cv2.add(roi_bg,roi_fg)

            # place the joined image, saved to dst back over the original image
        roi_color[y1:y2, x1:x2] = dst
        
# cv2.imshow('frame',frame)
# cv2.waitKey(0)
# cv2.destroyAllWindows()
cv2.imwrite('boggle' + imgname, frame)