def main():
parser = argparse.ArgumentParser()
parser.add_argument("-c",
"--camera",
help="using camera feed",
action='store_true')
parser.add_argument("-p", "--path", help="path to images")
parser.add_argument("-o",
"--option",
help="options : both, eyes, smile",
required=True)
parser.add_argument("-d",
"--debugging",
help="show debugging steps",
action='store_true')
parser.add_argument("-s",
"--save",
help="save perfect photos",
action='store_true')
args = parser.parse_args()
time = 1
if args.camera:
images = VideoList('Camera')
elif args.path:
time = 10000
images = FrameList(args.path)
else:
raise Exception('must pass either feed or images')
detector = Detector(option=args.option,
debugging=args.debugging,
save=args.save)
while not images.is_finished():
#grab a frame
name, frame = images.get_frame()
#detect perfect photo
detector.perfectPhoto(frame)
#show the photo
cv2.imshow("Feed", frame)
k = cv2.waitKey(time)
if k & 0xFF == ord('q'):
images.stop()
elif k & 0xFF == ord('s'):
cv2.imwrite('../Results/' + name + '.jpg', frame)
def main():
parser = argparse.ArgumentParser()
parser.add_argument("-c", "--camera", help="using camera feed", action='store_true')
parser.add_argument("-p", "--path", help="path to images")
parser.add_argument("-o", "--option", help="options : both, eyes, smile",required=True)
parser.add_argument("-d", "--display", help="do you want to display",action='store_true')
args = parser.parse_args()
if args.camera:
images = VideoList('Camera')
elif args.path:
images = FrameList(args.path)
else:
raise Exception('must pass either feed or images')
source = images.get_source()
folder = source.split('/')[-1]
save = '../data/Results'
if not os.path.exists(save):
os.makedirs(save)
detector = Detector(option=args.option, debugging=False, save=False)
row = 0
workbook = xlsxwriter.Workbook(save + '/' + folder + '.xlsx')
worksheet = workbook.add_worksheet()
worksheet.write(row, 0, "Image Name")
worksheet.write(row, 1, "Results")
t = 0
f = 0
#ITERATE OVER ALL IMAGES
while not images.is_finished():
name, frame = images.get_frame()
value = detector.perfectPhoto(frame)
if args.display:
frame = cv2.resize(frame,(400,400), interpolation=cv2.INTER_AREA)
cv2.imshow("Feed", frame)
k = cv2.waitKey(1000)
if k & 0xFF == ord('q'):
images.stop()
row+=1
worksheet.write(row, 0, name)
worksheet.write(row,1, value*1)
if value:
t+=1
else:
f+=1
last_row = row + 1
worksheet.write(last_row+1,0, "Predicted Yes")
worksheet.write(last_row+1,1, "=COUNTIF(B2:B{},1)".format(last_row) )
worksheet.write(last_row+2 ,0, "Predicted No")
worksheet.write(last_row+2,1, "=COUNTIF(B2:B{},0)".format(last_row) )
workbook.close()
print("Predicted Yes: {}, Predicted No: {}".format(t,f))
