From 7b895209e97728a4c2eef6bd9b97e1bfc6b59342 Mon Sep 17 00:00:00 2001
From: Piotr Dobrowolski <admin@tastycode.pl>
Date: Sat, 21 Feb 2015 18:32:43 +0100
Subject: [PATCH] Initial commit

---
 features/haarcascade_frontalface_alt.xml     | 24350 ++++++++++++
 features/haarcascade_frontalface_alt2.xml    | 20719 ++++++++++
 features/haarcascade_frontalface_default.xml | 33314 +++++++++++++++++
 livepopeize.py                               |    30 +
 popeize.py                                   |    61 +
 popeproxy.py                                 |    43 +
 zoltamorda.png                               |   Bin 0 -> 60172 bytes
 7 files changed, 78517 insertions(+)
 create mode 100644 features/haarcascade_frontalface_alt.xml
 create mode 100644 features/haarcascade_frontalface_alt2.xml
 create mode 100644 features/haarcascade_frontalface_default.xml
 create mode 100644 livepopeize.py
 create mode 100644 popeize.py
 create mode 100644 popeproxy.py
 create mode 100644 zoltamorda.png

diff --git a/features/haarcascade_frontalface_alt.xml b/features/haarcascade_frontalface_alt.xml
new file mode 100644
index 0000000..ade4b21
--- /dev/null
+++ b/features/haarcascade_frontalface_alt.xml
@@ -0,0 +1,24350 @@
+<?xml version="1.0"?>
+<!--
+    Stump-based 20x20 gentle adaboost frontal face detector.
+    Created by Rainer Lienhart.
+
+////////////////////////////////////////////////////////////////////////////////////////
+
+  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+
+  By downloading, copying, installing or using the software you agree to this license.
+  If you do not agree to this license, do not download, install,
+  copy or use the software.
+
+
+                        Intel License Agreement
+                For Open Source Computer Vision Library
+
+ Copyright (C) 2000, Intel Corporation, all rights reserved.
+ Third party copyrights are property of their respective owners.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+   * Redistribution's of source code must retain the above copyright notice,
+     this list of conditions and the following disclaimer.
+
+   * Redistribution's in binary form must reproduce the above copyright notice,
+     this list of conditions and the following disclaimer in the documentation
+     and/or other materials provided with the distribution.
+
+   * The name of Intel Corporation may not be used to endorse or promote products
+     derived from this software without specific prior written permission.
+
+ This software is provided by the copyright holders and contributors "as is" and
+ any express or implied warranties, including, but not limited to, the implied
+ warranties of merchantability and fitness for a particular purpose are disclaimed.
+ In no event shall the Intel Corporation or contributors be liable for any direct,
+ indirect, incidental, special, exemplary, or consequential damages
+ (including, but not limited to, procurement of substitute goods or services;
+ loss of use, data, or profits; or business interruption) however caused
+ and on any theory of liability, whether in contract, strict liability,
+ or tort (including negligence or otherwise) arising in any way out of
+ the use of this software, even if advised of the possibility of such damage.
+-->
+<opencv_storage>
+<cascade type_id="opencv-cascade-classifier"><stageType>BOOST</stageType>
+  <featureType>HAAR</featureType>
+  <height>20</height>
+  <width>20</width>
+  <stageParams>
+    <maxWeakCount>213</maxWeakCount></stageParams>
+  <featureParams>
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diff --git a/features/haarcascade_frontalface_alt2.xml b/features/haarcascade_frontalface_alt2.xml
new file mode 100644
index 0000000..b49cf5d
--- /dev/null
+++ b/features/haarcascade_frontalface_alt2.xml
@@ -0,0 +1,20719 @@
+<?xml version="1.0"?>
+<!--
+    Tree-based 20x20 gentle adaboost frontal face detector.
+    Created by Rainer Lienhart.
+
+////////////////////////////////////////////////////////////////////////////////////////
+
+  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+
+  By downloading, copying, installing or using the software you agree to this license.
+  If you do not agree to this license, do not download, install,
+  copy or use the software.
+
+
+                        Intel License Agreement
+                For Open Source Computer Vision Library
+
+ Copyright (C) 2000, Intel Corporation, all rights reserved.
+ Third party copyrights are property of their respective owners.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+   * Redistribution's of source code must retain the above copyright notice,
+     this list of conditions and the following disclaimer.
+
+   * Redistribution's in binary form must reproduce the above copyright notice,
+     this list of conditions and the following disclaimer in the documentation
+     and/or other materials provided with the distribution.
+
+   * The name of Intel Corporation may not be used to endorse or promote products
+     derived from this software without specific prior written permission.
+
+ This software is provided by the copyright holders and contributors "as is" and
+ any express or implied warranties, including, but not limited to, the implied
+ warranties of merchantability and fitness for a particular purpose are disclaimed.
+ In no event shall the Intel Corporation or contributors be liable for any direct,
+ indirect, incidental, special, exemplary, or consequential damages
+ (including, but not limited to, procurement of substitute goods or services;
+ loss of use, data, or profits; or business interruption) however caused
+ and on any theory of liability, whether in contract, strict liability,
+ or tort (including negligence or otherwise) arising in any way out of
+ the use of this software, even if advised of the possibility of such damage.
+-->
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diff --git a/features/haarcascade_frontalface_default.xml b/features/haarcascade_frontalface_default.xml
new file mode 100644
index 0000000..cbd1aa8
--- /dev/null
+++ b/features/haarcascade_frontalface_default.xml
@@ -0,0 +1,33314 @@
+<?xml version="1.0"?>
+<!--
+    Stump-based 24x24 discrete(?) adaboost frontal face detector.
+    Created by Rainer Lienhart.
+
+////////////////////////////////////////////////////////////////////////////////////////
+
+  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+
+  By downloading, copying, installing or using the software you agree to this license.
+  If you do not agree to this license, do not download, install,
+  copy or use the software.
+
+
+                        Intel License Agreement
+                For Open Source Computer Vision Library
+
+ Copyright (C) 2000, Intel Corporation, all rights reserved.
+ Third party copyrights are property of their respective owners.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+   * Redistribution's of source code must retain the above copyright notice,
+     this list of conditions and the following disclaimer.
+
+   * Redistribution's in binary form must reproduce the above copyright notice,
+     this list of conditions and the following disclaimer in the documentation
+     and/or other materials provided with the distribution.
+
+   * The name of Intel Corporation may not be used to endorse or promote products
+     derived from this software without specific prior written permission.
+
+ This software is provided by the copyright holders and contributors "as is" and
+ any express or implied warranties, including, but not limited to, the implied
+ warranties of merchantability and fitness for a particular purpose are disclaimed.
+ In no event shall the Intel Corporation or contributors be liable for any direct,
+ indirect, incidental, special, exemplary, or consequential damages
+ (including, but not limited to, procurement of substitute goods or services;
+ loss of use, data, or profits; or business interruption) however caused
+ and on any theory of liability, whether in contract, strict liability,
+ or tort (including negligence or otherwise) arising in any way out of
+ the use of this software, even if advised of the possibility of such damage.
+-->
+<opencv_storage>
+<cascade type_id="opencv-cascade-classifier"><stageType>BOOST</stageType>
+  <featureType>HAAR</featureType>
+  <height>24</height>
+  <width>24</width>
+  <stageParams>
+    <maxWeakCount>211</maxWeakCount></stageParams>
+  <featureParams>
+    <maxCatCount>0</maxCatCount></featureParams>
+  <stageNum>25</stageNum>
+  <stages>
+    <_>
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diff --git a/livepopeize.py b/livepopeize.py
new file mode 100644
index 0000000..9b70cc6
--- /dev/null
+++ b/livepopeize.py
@@ -0,0 +1,30 @@
+import cv2
+import sys
+from popeize import popeize
+
+# Get user supplied values
+try:
+    cascPath = sys.argv[1]
+except IndexError:
+    cascPath = 'features/haarcascade_frontalface_default.xml'
+
+video_capture = cv2.VideoCapture(0)
+
+# Create the haar cascade
+faceCascade = cv2.CascadeClassifier(cascPath)
+
+# Read the image
+papaj = cv2.imread("zoltamorda.png", -1)
+
+while True:
+    ret, image = video_capture.read()
+
+    popeize(faceCascade, image, papaj, 1.3)
+
+    cv2.imshow("Video", image)
+
+    if cv2.waitKey(1) & 0xFF == ord('q'):
+        break
+
+video_capture.release()
+cv2.destroyAllWindows()
diff --git a/popeize.py b/popeize.py
new file mode 100644
index 0000000..cb7c05f
--- /dev/null
+++ b/popeize.py
@@ -0,0 +1,61 @@
+import cv2
+import sys
+
+def blit(l_img, s_img, x_offset, y_offset):
+    for c in range(0, 3):
+        l_img[y_offset:y_offset+s_img.shape[0], x_offset:x_offset+s_img.shape[1], c] = s_img[:,:,c] * (s_img[:,:,3]/255.0) + l_img[y_offset:y_offset+s_img.shape[0], x_offset:x_offset+s_img.shape[1], c] * (1.0 - s_img[:,:,3]/255.0)
+
+def downscale(img, width, height):
+    factor = min(1.0*height/img.shape[0], 1.0*width/img.shape[1])
+    return cv2.resize(img, None, None, factor, factor)
+
+def popeize(faceCascade, image, papaj, faceScale=1.5):
+    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+
+    # Detect faces in the image
+    faces = faceCascade.detectMultiScale(gray, faceScale, 5)
+
+    print "Found {0} faces!".format(len(faces))
+
+    # Draw a rectangle around the faces
+    for (x, y, w, h) in faces:
+        factor = min(1.0*h/papaj.shape[0], 1.0*w/papaj.shape[1]) * 1.3
+        scaledpapaj = cv2.resize(papaj, None, None, factor, factor)
+        dx = x + (w/2) - scaledpapaj.shape[1]/2
+        dy = y + (h/2) - scaledpapaj.shape[0]/2
+
+        print dx, dy, factor
+
+        try:
+            blit(image, scaledpapaj, dx, dy)
+        except Exception as e:
+            print e, dx, dy, factor
+        #cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)
+
+if __name__ == '__main__':
+    imagePath = sys.argv[1]
+    cascPath = sys.argv[2]
+
+    # Create the haar cascade
+    faceCascade = cv2.CascadeClassifier(cascPath)
+
+    # Read the image
+    image = cv2.imread(imagePath)
+    papaj = cv2.imread("zoltamorda.png", -1)
+
+    cv2.namedWindow("image")
+
+    def trackbarChanged(value):
+        image = cv2.imread(imagePath)
+        popeize(faceCascade, image, papaj, 1.1 + value/100.0)
+        cv2.imshow("image", downscale(image, 1024, 768))
+        print 'showed'
+
+    cv2.createTrackbar("scale", "image", 0, 300, trackbarChanged)
+
+    popeize(faceCascade, image, papaj, 1.1)
+    cv2.imwrite("output.jpg", image)
+    cv2.imshow("image", downscale(image, 1024, 768))
+
+    while cv2.waitKey(0) & 0xff != ord('q'):
+        pass
diff --git a/popeproxy.py b/popeproxy.py
new file mode 100644
index 0000000..76ebb7b
--- /dev/null
+++ b/popeproxy.py
@@ -0,0 +1,43 @@
+"""
+usage: mitmdump -T --anticache --host -s popeproxy.py
+"""
+
+from libmproxy.protocol.http import decoded
+import cv2
+import sys
+import os
+import numpy as np
+
+sys.path.insert(0, os.getcwd())
+
+import popeize
+
+papaj = cv2.imread("zoltamorda.png", -1)
+faceCascade = cv2.CascadeClassifier('features/haarcascade_frontalface_default.xml')
+
+types = {
+    'image/jpeg': '.jpg',
+    'image/png': '.png',
+    }
+
+
+def response(context, flow):
+    if 'content-type' not in flow.response.headers:
+        return
+
+    ctype = flow.response.headers['content-type'][0]
+
+    if ctype not in types:
+        return
+
+    with decoded(flow.response):
+        image = cv2.imdecode(np.fromstring(flow.response.content,
+                                           dtype=np.uint8), -1)
+        popeize.popeize(faceCascade, image, papaj, 1.1)
+        success, encimg = cv2.imencode(types[ctype], image)
+
+        if success:
+            flow.response.content = encimg.tostring()
+
+        print '*'*20, 'length', len(flow.reply.obj.response.content)
+        print '*'*20, 'type', ctype
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