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import processing.video.*;

Capture cam;

void setup() {
  size(640, 480, P3D);
  cam = new Capture(this, 640, 480, "i Zone 1080p Starvis Camera");
  cam.start();          
}

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                     brightness (int)    : min=0 max=255 step=1 default=128 value=128
                       contrast (int)    : min=0 max=255 step=1 default=128 value=128
                     saturation (int)    : min=0 max=255 step=1 default=128 value=128
 white_balance_temperature_auto (bool)   : default=1 value=1
                           gain (int)    : min=0 max=255 step=1 default=0 value=0
           power_line_frequency (menu)   : min=0 max=2 default=2 value=2
                                0: Disabled
                                1: 50 Hz
                                2: 60 Hz
      white_balance_temperature (int)    : min=2000 max=7500 step=10 default=4000 value=4000 flags=inactive

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                     brightness (int)    : min=0 max=255 step=1 default=128 value=128
                       contrast (int)    : min=0 max=255 step=1 default=128 value=128
                     saturation (int)    : min=0 max=255 step=1 default=128 value=128
 white_balance_temperature_auto (bool)   : default=1 value=1
                           gain (int)    : min=0 max=255 step=1 default=0 value=0
           power_line_frequency (menu)   : min=0 max=2 default=2 value=2
      white_balance_temperature (int)    : min=2000 max=7500 step=10 default=4000 value=4000 flags=inactive
                      sharpness (int)    : min=0 max=255 step=1 default=128 value=128
         backlight_compensation (int)    : min=0 max=1 step=1 default=1 value=1
                  exposure_auto (menu)   : min=0 max=3 default=3 value=3

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ioctl: VIDIOC_ENUM_FMT
	Index       : 0
	Type        : Video Capture
	Pixel Format: 'YUYV'
	Name        : YUYV 4:2:2
		Size: Discrete 640x480
			Interval: Discrete 0.033s (30.000 fps)
			Interval: Discrete 0.042s (24.000 fps)
			Interval: Discrete 0.050s (20.000 fps)
			Interval: Discrete 0.067s (15.000 fps)

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from imutils.perspective import four_point_transform
from imutils import contours
import imutils
import cv2
import json

def rot90(img, rotflag):
	""" rotFlag 1=CW, 2=CCW, 3=180"""
	if rotflag == 1:
		img = cv2.transpose(img)  

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# -*- coding: utf-8 -*-

import json
import paho.mqtt.client as paho
from PIL import Image
from PIL import ImageDraw
from PIL import ImageFont
import time
from rgbmatrix import RGBMatrix
#from samplebase import SampleBase

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# -*- coding: utf-8 -*-

from sys import argv
import zbar
from PIL import Image
import cv2
import numpy as np
from tqdm import trange 

def detect(im):

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import qrcode
import cv2
import numpy
import PIL as Image

qr = qrcode.QRCode(
    version=1,
    error_correction=qrcode.constants.ERROR_CORRECT_M, # 15
    box_size=20,
    border=1,

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from StringIO import StringIO
from PIL import Image
import cv2
import barcode
from barcode.writer import ImageWriter
import numpy as np

# print barcode.PROVIDED_BARCODES

code = barcode.get('code128', 'RN012345678LT', writer=ImageWriter())

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import os
import fnmatch
import numpy as np
from PIL import Image
from tqdm import trange

images_in = "img"
brighness_divide = 5.0