#!/usr/bin/env python
# coding: utf-8

# In[1]:


import cv2


# In[2]:


face_cascade_path = '/usr/local/opt/opencv/share/'\
                    'OpenCV/haarcascades/haarcascade_frontalface_default.xml'
eye_cascade_path = '/usr/local/opt/opencv/share/'\
                   'OpenCV/haarcascades/haarcascade_eye.xml'

face_cascade = cv2.CascadeClassifier(face_cascade_path)
eye_cascade = cv2.CascadeClassifier(eye_cascade_path)


# In[3]:


src = cv2.imread('data/src/lena_square.png')
src_gray = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY)


# In[4]:


faces = face_cascade.detectMultiScale(src_gray)

for x, y, w, h in faces:
    cv2.rectangle(src, (x, y), (x + w, y + h), (255, 0, 0), 2)
    face = src[y: y + h, x: x + w]
    face_gray = src_gray[y: y + h, x: x + w]
    eyes = eye_cascade.detectMultiScale(face_gray)
    for (ex, ey, ew, eh) in eyes:
        cv2.rectangle(face, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2)


# In[5]:


cv2.imwrite('data/dst/opencv_face_detect_rectangle.jpg', src)


# In[6]:


src = cv2.imread('data/src/lena_square.png')
src_gray = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY)


# In[7]:


faces = face_cascade.detectMultiScale(src_gray)

for x, y, w, h in faces:
    src[y: y + h, x: x + w] = [0, 128, 255]


# In[8]:


cv2.imwrite('data/dst/opencv_face_detect_fill.jpg', src)


# In[9]:


src = cv2.imread('data/src/lena_square.png')
src_gray = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY)


# In[10]:


faces = face_cascade.detectMultiScale(src_gray)

ratio = 0.05

for x, y, w, h in faces:
    small = cv2.resize(src[y: y + h, x: x + w], None, fx=ratio, fy=ratio, interpolation=cv2.INTER_NEAREST)
    src[y: y + h, x: x + w] = cv2.resize(small, (w, h), interpolation=cv2.INTER_NEAREST)


# In[11]:


cv2.imwrite('data/dst/opencv_face_detect_mosaic.jpg', src)