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FaceDetection.py
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FaceDetection.py
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'''
Version 2.6
Created by:
-Grady Duncan, @aDroidman
Sources:
http://stackoverflow.com/questions/13211745/detect-face-then-autocrop-pictures
https://gist.github.com/astanin/3097851
'''
import cv
import cv2
import numpy
import Image
import glob
import os
import time
print 'Version: 2.6'
# Static
faceCascade = cv.Load('haarcascade_frontalface_alt.xml')
padding = -1
boxScale = 1
# Needed for webcam CV2 section
HaarXML = 'haarcascade_frontalface_alt.xml'
classifier = cv2.CascadeClassifier(HaarXML)
webcamIndex = int(raw_input('Please enter Camera Index (0, 1, 2): '))
webcam = cv2.VideoCapture(webcamIndex)
def DetectFace(image, faceCascade, returnImage=False):
# variables
min_size = (50, 50)
haar_scale = 1.1
min_neighbors = 3
haar_flags = 0
DOWNSCALE = 4
# Equalize the histogram
cv.EqualizeHist(image, image)
# Detect the faces
faces = cv.HaarDetectObjects(image, faceCascade, cv.CreateMemStorage(0), haar_scale, min_neighbors, haar_flags, min_size)
# If faces are found
if faces and returnImage:
for ((x, y, w, h), n) in faces:
# Convert bounding box to two CvPoints
pt1 = (int(x), int(y))
pt2 = (int(x + w), int(y + h))
cv2.rectangle(image, pt1, pt2, (255, 0, 0), 5, 8, 0)
if returnImage:
return image
else:
return faces
def pil2cvGrey(pil_im):
pil_im = pil_im.convert('L')
cv_im = cv.CreateImageHeader(pil_im.size, cv.IPL_DEPTH_8U, 1)
cv.SetData(cv_im, pil_im.tostring(), pil_im.size[0])
return cv_im
def imgCrop(image, cropBox, padding):
# Crop a PIL image with the provided box [x(left), y(upper), w(width), h(height)]
# Calculate scale factors
xPadding = max(cropBox[2] * (boxScale - 1), int(padding))
yPadding = max(cropBox[3] * (boxScale - 1), int(padding))
# Convert cv box to PIL box [left, upper, right, lower]
PIL_box = [cropBox[0] - xPadding, cropBox[1] - yPadding, cropBox[0] + cropBox[2] + xPadding, cropBox[1] + cropBox[3] + yPadding]
return image.crop(PIL_box)
def Crop(imagePattern, outputimg, padding, webCheck):
paddingCheck = True
imgList = glob.glob(imagePattern)
while paddingCheck:
if len(imgList) <= 0:
return
else:
# Crop images
for img in imgList:
pil_im = Image.open(img)
cv_im = pil2cvGrey(pil_im)
faces = DetectFace(cv_im, faceCascade)
if faces:
n = 1
for face in faces:
croppedImage = imgCrop(pil_im, face[0], padding)
(fname, ext) = os.path.splitext(img)
fname = os.path.basename(fname)
croppedImage.save(outputimg + '\\' + fname + ' -c' + ext)
n += 1
print 'Cropping:', fname
else:
print 'No faces found:', img
print 'Closing application'
time.sleep(.4)
raise SystemExit
# Send only if capturing from webcam
if webCheck:
print 'Please open the file manually to check the crop padding.'
print 'Are you happy with the final crop?'
cropCheck = raw_input('Enter y or n: ')
if cropCheck == 'y':
paddingCheck = False
elif cropCheck == 'n':
padding = int(raw_input('Enter crop padding: '))
else:
print 'Not a valid input'
main()
print 'Do you have more pictures to take?'
endCheck = raw_input('Enter y or n: ')
if endCheck == 'y':
WebcamConfig(padding, webCheck)
else:
print 'Closing application'
time.sleep(.4)
raise SystemExit
def CropSetup(padding, webCheck):
inputimg = raw_input('Please enter the entire path to the image folder:')
# Input folder check
if not os.path.exists(inputimg):
print 'Input Folder not found'
outputimg = raw_input('Please enter the entire path to the output folder:')
# Create output folder if missing
if not os.path.exists(outputimg):
os.makedirs(outputimg)
# Get padding for crop
while padding < 0:
padding = int(raw_input('Enter crop padding:'))
# Sent to Crop function
Crop(inputimg + '\*.png', outputimg, padding, webCheck)
Crop(inputimg + '\*.jpg', outputimg, padding, webCheck)
def WebCropConfig(name, padding, webCheck):
print 'Output Folder does not need to be created'
outputimg = raw_input('Please enter the entire path to the output folder:')
# Create output folder if missing
if not os.path.exists(outputimg):
os.makedirs(outputimg)
# Get padding for crop
while padding < 0:
padding = int(raw_input('Enter crop padding:'))
Crop(name, outputimg, padding, webCheck)
def WebcamConfig(padding, webCheck):
name = raw_input('Plese enter name of file: ')
name = name + '.jpg'
if webcam.isOpened():
(mainCam, frame) = webcam.read()
else:
mainCam = False
print 'Webcam not found, please try a different Index number.'
WebcamConfig(padding, webCheck)
while mainCam:
cv2.imshow('Face Crop', frame)
key = cv2.waitKey(10)
if key in [99]: # c to capture
cv2.imwrite(name, frame)
print 'Image saved'
cv2.destroyWindow('Face Crop')
WebCropConfig(name, padding, webCheck)
# get next frame
(mainCam, frame) = webcam.read()
if key in [27, ord('Q'), ord('q')]: # exit on ESC
break
def main():
print 'Option 1: Detect image from Webcam'
print 'Option 2: Crop saved images'
option = int(raw_input('Please enter 1 or 2: '))
if option == 1:
webCheck = True
WebcamConfig(padding, webCheck)
elif option == 2:
webCheck = False
CropSetup(padding, webCheck)
else:
print 'Not a valid input'
main()