def init_camera(self, verbose_flag):
# Find Camera
self.camera_path = liboCams.FindCamera('oCam')
if self.camera_path is None:
print "Cannot find DevPath : please connect Camera"
return False
# Instantiate Camera with Verbose for collecting data
self.camera = liboCams.oCams(self.camera_path, verbose=1)
# Collecting Data
self.gathering_camera_data(self.camera)
# Camera setting reassign (?)
for i in range(len(self.camera_format_list)):
self.camera.Set(self.camera_format_list[i])
self.camera_name = self.camera.GetName()
rospy.loginfo("Currently Connecting to Camera : " +
str(self.camera_name))
# Mute Data Printing if verbose is false
if verbose_flag is False:
self.camera.Close()
self.camera = liboCams.oCams(self.camera_path, verbose=0)
# Start Camera instance !
self.camera.Start()
def initiallizeocam(printstat): # 0 not print 1 print
global allthreadbreak
devpath = liboCams.FindCamera('oCam')
if devpath is None:
print 'Plese connect to camera'
allthreadbreak = True
exit()
test = liboCams.oCams(devpath, verbose=1)
if printstat == 1:
print 'Format List'
fmtlist = test.GetFormatList()
for fmt in fmtlist:
print '\t', fmt
print 'Control List'
ctrlist = test.GetControlList()
for key in ctrlist:
print '\t', key, '\tID:', ctrlist[key]
test.Close()
test = liboCams.oCams(devpath, verbose=0)
test.Set(fmtlist[1])
##Description Format list indicate by number
test.Start()
#example code for camera control
val = test.GetControl(ctrlist['Exposure (Absolute)'])
test.SetControl(ctrlist['Exposure (Absolute)'], 370) #586#200
return test
# /usr/bin/env python2
import liboCams
import cv2
import time
import sys
import numpy as np
#from matplotlib import pyplot as plt
import main_stereo
devpath = liboCams.FindCamera('oCam')
if devpath is None:
exit()
test = liboCams.oCams(devpath, verbose=1)
fmtlist = test.GetFormatList()
ctrlist = test.GetControlList()
test.SetControl(10094850, 400) # control exposure
test.Close()
test = liboCams.oCams(devpath, verbose=0)
test.Set(fmtlist[0])
name = test.GetName()
test.Start()
start_time = time.time()
frame_cnt = 0
while True:
def getImageOcamS(self, mode='on'): # ocam으로 이미지 받기
self.cur_time = time.strftime('%Y%m%d_%H%M%S') # 현재 연/월/일 시간:분:초
self.costomer_face_img = '/home/byu/byU_main/advertising_main/costomer_image/' + self.cur_time + '_' + self.cur_place + '.jpg' #이미지를 시간, 장소로 저장, original image
self.processing_img = '/home/byu/byU_main/advertising_main/processing_image/' + self.cur_time + '_' + self.cur_place + '_p.jpg' # filltering image
# 오캠 구동을 위한 준비 과정
devpath = liboCams.FindCamera('oCam')
if devpath is None:
exit()
test = liboCams.oCams(devpath, verbose=1)
fmtlist = test.GetFormatList()
ctrlist = test.GetControlList()
test.Close()
# 오캠 구동을 위한 준비 과정
# 오캠으로 영상 받기.
test = liboCams.oCams(devpath, verbose=0)
test.Set(fmtlist[self.index])
print 'SET', fmtlist[self.index]
name = test.GetName()
test.Start()
start_time = time.time()
stop_time = start_time + float(self.playtime)
##### 카메라로부터 이미지 받기 시작 ####
frame_cnt = 0
self.capture_result = False
# 오캠으로 영상 받기.
while True:
if name == 'oCamS-1CGN-U': # oCamS-1CGN-U 카메라일 경우
self.capture_result = True # 카메라로부터 이미지를 얻었다면 얻었다고 표시
left_ = test.GetFrame(mode=2) # 좌우 카메라 이미지 얻음.
left_ = cv2.cvtColor(left_, cv2.COLOR_BAYER_GB2BGR)
cv2.imwrite(self.costomer_face_img, left_) # 좌측 이미지 저장
if mode == 'on':
self.img_histequalize(
self.costomer_face_img,
self.processing_img) # 히스토그램 평활화한 이미지 저장
else: # oCamS-1CGN-U 카메라가 아닐 경우
print("Error Not oCamS-1CGN-U")
char = cv2.waitKey(1)
if char == 27:
break
if time.time() > stop_time:
break
frame_cnt += 1
print 'Result Frame Per Second:', frame_cnt / (time.time() - start_time
) #camera 구동 시간
print('------------------------------------------------------')
print('')
test.Stop()
cv2.destroyAllWindows()
test.Close()
def __init__(self, dir, textfile_name, annotate, format_num):
# Find oCam to initialize
devpath = liboCams.FindCamera('oCam')
if devpath is None:
print("oCam not Found")
exit()
# Initialize camera
print("Initializing Camera")
self.camera = liboCams.oCams(devpath, verbose=0)
# Create image directory if needed or find the next image index
self.dir = dir
self.count = 0
self.annotate = bool(annotate)
textfile = textfile_name + ".dat"
print("Saving images to directory: " + dir + "/")
print("Using info file: " + textfile)
fmtlist = self.camera.GetFormatList()
if format_num < 0:
print('Format List')
for i, fmt in enumerate(fmtlist):
print('\t', i, " ", fmt)
selected_fmt = int(
raw_input("Enter a number from the list above: "))
else:
selected_fmt = format_num
self.camera.Set(fmtlist[selected_fmt])
if not os.path.exists(dir): # check this is a new directory
if os.path.exists(textfile): # check if the info file exists
print(
"Error: New Directory being used with a pre-existing info file."
)
exit()
else:
# create directory and info file
os.makedirs(dir)
self.info_file = open(textfile, "a")
else:
if os.path.exists(textfile): # check if the info file exists
#open file and get the next index to label new pics
self.info_file = open(textfile, "a")
self.count = len(next(os.walk(dir))[2])
print("Found", self.count, "existing images in the directory.")
else:
print(
"Error: Existing Directory being used with a new info file."
)
exit()
self.cv_saved_image = None
self.fully_annotated = False
self.startx = 0
self.starty = 0
self.endx = 0
self.endy = 0
self.camera.Start()
#! /usr/bin/env python3
import liboCams
import cv2
import time
devpath = liboCams.FindCamera('oCamS-1CGN-U')
if devpath is None:
print ('oCam Device Not Found!')
exit()
test = liboCams.oCams(devpath, verbose=0)
fmtlist = test.GetFormatList()
for fmt in fmtlist:
print (fmt)
ctrlist = test.GetControlList()
for key in ctrlist:
print (key, hex(ctrlist[key]))
test.SetControl(ctrlist[b'Gain'], 60)
test.SetControl(ctrlist[b'Exposure (Absolute)'],200)
test.Close()
if True:
test = liboCams.oCams(devpath, verbose=0)
test.Set(fmtlist[2])
ctrllist = test.GetControlList()
def byu_robot_main():
global face_cnt
# 오캠 구동을 위한 준비 과정
devpath = liboCams.FindCamera('oCam')
if devpath is None:
exit()
test = liboCams.oCams(devpath, verbose=1)
fmtlist = test.GetFormatList()
ctrlist = test.GetControlList()
test.Close()
# 오캠 구동을 위한 준비 과정
# 오캠으로 영상 받기.
test = liboCams.oCams(devpath, verbose=0)
test.Set(fmtlist[options.index])
print 'SET', fmtlist[options.index]
name = test.GetName()
test.Start()
start_time = time.time()
stop_time = start_time + float(options.playtime)
##### 카메라로부터 이미지 받기 시작 ####
costomer_face_img = './costomer_image/faceCapture' + str(
face_cnt) + '.jpg' #이미지를 번호 넘버링하면서 저장 가능
left_img = './costomer_image/left_right_image/left_image' + str(
face_cnt) + '.jpg'
right_img = './costomer_image/left_right_image/right_image' + str(
face_cnt) + '.jpg'
frame_cnt = 0
# 오캠으로 영상 받기.
while True:
if name == 'oCamS-1CGN-U': # oCamS-1CGN-U 카메라일 경우
capture_result = True # 카메라로부터 이미지를 얻었다면 얻었다고 표시
left_, right_ = test.GetFrame(mode=2) # 좌우 카메라 이미지 얻음.
left_ = cv2.cvtColor(left_, cv2.COLOR_BAYER_GB2BGR)
cv2.imwrite(left_img, left_) # 좌측 이미지 저장
right_ = cv2.cvtColor(right_, cv2.COLOR_BAYER_GB2BGR)
cv2.imwrite(right_img, right_) #우측 이미지 저장
else: # oCamS-1CGN-U 카메라가 아닐 경우
frame = test.GetFrame()
rgb = cv2.cvtColor(frame, cv2.COLOR_YUV2BGR_YUYV)
capture_result = True # 카메라로부터 이미지를 얻었다면 얻었다고 표시
char = cv2.waitKey(1)
if char == 27:
break
if time.time() > stop_time:
break
frame_cnt += 1
print 'Result Frame Per Second:', frame_cnt / (time.time() - start_time
) #camera 구동 시간
left = cv2.imread(left_img)
right = cv2.imread(right_img)
face_img = Image_Stitching().blending(left, right)
cv2.imwrite(costomer_face_img, face_img)
test.Stop()
cv2.destroyAllWindows()
test.Close()
##### 카메라로부터 이미지 받기 끝 ####
##### 이미지에서 얼굴을 찾아서 얼굴에서 특징(나이, 성별)추출 시작 ####
if capture_result != False: # 카메라가 정상적으로 동작한 경우
#print("")
img_url = costomer_face_img
faces = CF.face.detect(img_url, True, False, 'age,gender')
data = {}
gender_data = []
age_data = []
gender_age = []
people = 0
male = np.zeros(
8
) #남성 연령대 인원 수 0~9, 10~19, 20~29, 30~39, 40~49, 50~59, 60~69, 70~79, 80~89, 90~99
female = np.zeros(
8
) #여성 연령대 인원 수 0~9, 10~19, 20~29, 30~39, 40~49, 50~59, 60~69, 70~79, 80~89, 90~99
for face in faces:
add = []
data = face['faceAttributes']
#gender_data.append(data['gender']) # DB 저장 부분
#age_data.append(data['age'])
#data = {'age': age_data, 'gender': gender_data}
add.append(data['gender'])
add.append(data['age'])
gender_age.append(add)
people += 1
people_check = 0 # 촬영한 사진에 얼굴이 있는지 판단하는 변수
# 얼굴이 감지 안되면 0, 얼굴 감지 시 1
for gender, age in gender_age: # 남자,여자 각 연령대별 숫자 카운트
if gender == 'male' and age >= 0 and age < 10:
male[0] += 1
people_check = 1
elif gender == 'male' and age >= 10 and age < 20:
male[1] += 1
people_check = 1
elif gender == 'male' and age >= 20 and age < 30:
male[2] += 1
people_check = 1
elif gender == 'male' and age >= 30 and age < 40:
male[3] += 1
people_check = 1
elif gender == 'male' and age >= 40 and age < 50:
male[4] += 1
people_check = 1
elif gender == 'male' and age >= 50 and age < 60:
male[5] += 1
people_check = 1
elif gender == 'male' and age >= 60 and age < 70:
male[6] += 1
people_check = 1
elif gender == 'male' and age >= 70 and age < 80:
male[7] += 1
people_check = 1
elif gender == 'male' and age >= 80 and age < 90:
male[8] += 1
people_check = 1
elif gender == 'male' and age >= 90 and age < 100:
male[9] += 1
people_check = 1
elif gender == 'female' and age >= 0 and age < 10:
female[0] += 1
people_check = 1
elif gender == 'female' and age >= 10 and age < 20:
female[1] += 1
people_check = 1
elif gender == 'female' and age >= 20 and age < 30:
female[2] += 1
people_check = 1
elif gender == 'female' and age >= 30 and age < 40:
female[3] += 1
people_check = 1
elif gender == 'female' and age >= 40 and age < 50:
female[4] += 1
people_check = 1
elif gender == 'female' and age >= 50 and age < 60:
female[5] += 1
people_check = 1
elif gender == 'female' and age >= 60 and age < 70:
female[6] += 1
people_check = 1
elif gender == 'female' and age >= 70 and age < 80:
female[7] += 1
people_check = 1
elif gender == 'female' and age >= 80 and age < 90:
female[8] += 1
people_check = 1
elif gender == 'female' and age >= 90 and age < 100:
female[9] += 1
people_check = 1
print("gender age set:")
print(gender_age)
print("people: %d" % (people))
print("male 10~19: %d" % (male[1]))
print("male 20~29: %d" % (male[2]))
print("male 30~39: %d" % (male[3]))
print("male 40~49: %d" % (male[4]))
print("male 50~59: %d" % (male[5]))
print("male 60~69: %d" % (male[6]))
print("female 10~19: %d" % (female[1]))
print("female 20~29: %d" % (female[2]))
print("female 30~39: %d" % (female[3]))
print("female 40~49: %d" % (female[4]))
print("female 50~59: %d" % (female[5]))
print("female 60~69: %d" % (female[6]))
##### 이미지에서 얼굴을 찾아서 얼굴에서 특징(나이, 성별)추출 시작 ####
# Download the image from the url
img = Image.open(img_url)
# For each face returned use the face rectangle and draw a red box.
draw = ImageDraw.Draw(img)
k = 1
for face in faces: # 캡쳐한 이미지의 얼굴들 빨간색 사각형 밑 번호 표시
draw.rectangle(getRectangle(face), outline='red')
n = str(k)
draw.text(getRectangleFont(face),
n,
font=None,
fill=(255, 255, 255, 255))
k += 1
# Display the image in the users default image browser.
#img.show()
##### 이미지에서 얼굴을 찾아서 bounding box 끝 ####
##### 얼굴에서 추출된 정보를 이용하여 광고 추출 및 송출 시작 ####
from moviepy.editor import *
if people_check == 0:
print("Not Detected Face!!")
else: # 카메라에 정상적으로 얼굴이 찍혔다면 광고 찾아서 실행
male_max_index = male.argmax()
female_max_index = female.argmax()
if male[male_max_index] > female[female_max_index]:
print("male: %d~%d" %
(male_max_index * 10, male_max_index * 10 + 9))
if male_max_index == 1:
print("male video 10~")
video_file = './adv/male10.mp4'
elif male_max_index == 2:
print("male video 20~")
video_file = './adv/male20.mp4'
elif male_max_index == 3:
print("male video 30~")
video_file = './adv/male30.mp4'
elif male_max_index == 4:
print("male video 40~")
video_file = './adv/male40.mp4'
elif male_max_index == 5:
print("male video 50~")
video_file = './adv/male50.mp4'
elif male_max_index == 6:
print("male video 60~")
video_file = './adv/male60.mp4'
clip = VideoFileClip(video_file)
clip.preview()
else:
print("female: %d~%d" %
(female_max_index * 10, female_max_index * 10 + 9))
if female_max_index == 1:
print("female video 10~")
video_file = './adv/female10.mp4'
elif female_max_index == 2:
print("female video 20~")
video_file = './adv/female20.mp4'
elif female_max_index == 3:
print("female video 30~")
video_file = './adv/female30.mp4'
elif female_max_index == 4:
print("female video 40~")
video_file = './adv/female40.mp4'
elif female_max_index == 5:
print("female video 50~")
video_file = './adv/female50.mp4'
elif female_max_index == 6:
print("female video 60~")
video_file = './adv/female60.mp4'
clip = VideoFileClip(video_file)
clip.preview()
img.close()
pygame.quit()
##### 얼굴에서 추출된 정보를 이용하여 광고 추출 및 송출 끝 ####
else: # 카메라가 정상적으로 동작 안한 경우
print("error: No Face!! or No Camera!!")
print("Please Check camera")
face_cnt += 1
