Black value from the BlackBar in the calibrator.
Created on Oct 10, 2010
@author: surya
'''
import logging
from GrayBar import GrayBar
from ColorBar import ColorBar
from Logging.Logger import getLog
from IANASettings.Settings import ExitCode, CalibratorConstants
log = getLog("Calibrator")
log.setLevel(logging.ERROR)
def getColorBars(qr, image, parenttags=None, level=logging.ERROR):
''' Extracts the ColorBars from the Image and represents them
as ColorBar objects.
Keyword Arguments:
qr -- QRDetector.QR object
image -- a PIL.Image object
parenttags -- tag string of the calling function
level -- the logging level
Returns
A list of Calibrator.ColorBar objects representing the three colorbars.
'''
NOTE: The calibrator + filter dock = Stage
Created on Oct 8, 2010
@author: surya
'''
import logging
from Stage import Stage
from Calibrator import Calibrator
from Logging.Logger import getLog
from IANASettings.Settings import ExitCode, StageDetectorConstants
log = getLog("StageDetector")
log.setLevel(logging.ERROR)
def computeBoxFromQR(qr, left, right, top, bottom, parenttags=None):
""" Uses the QR coordinates to compute the coordinates of a Box
subject to left, right, top, bottom params.
Keyword Arguments:
left -- distance from qrTopLeft to left
right -- distance from qrTopLeft to right
top -- distance from qrTopLeft to top
bottom -- distance from qrTopLeft to bottom
parenttags -- tag string of the calling function
Returns:
(topLeft, bottomLeft, bottomRight, topRight) coordinates
Created on Oct 8, 2010
@author: surya
'''
import os
import logging
from subprocess import PIPE, Popen
from Logging.Logger import getLog
from IANASteps.Geometry.Point import Point
from QR import QR
from IANASettings.Settings import ExitCode
log = getLog("QRFilter")
log.setLevel(logging.ERROR)
def detectQR(file_, parenttags=None, level=logging.ERROR):
'''Call FindQRCode.jar to see whether QR code is correct.
Keyword arguments:
file_ -- The full file name toward the image file to be processed.
parenttags -- The tag string of the calling method.
level -- The logging level.
Returns:
QR -- an object of QRDetector.QR type.
exitcode -- exit code returning from FindQRCode.jar.
'''
Created on Oct 13, 2010
@author: surya
'''
import logging
from PIL.Image import QUAD, BICUBIC
from Logging.Logger import getLog
from IANASettings.Settings import ExitCode
log = getLog("ImageTransformer")
log.setLevel(logging.ERROR)
def transform(image, stage, parenttags=None, level=logging.ERROR):
''' Performs the skew correction in the image.
Keyword Arguments:
image -- PIL.Image instance
stage -- Absolute coordinates of the stage
parentttags -- tag string of the calling function
Returns:
PIL.Image, The cropped image containing the stage.
'''
# Set the logging level
log.setLevel(level)
tags = parenttags + " TRANSFORM"
from django.views.decorators.csrf import csrf_exempt
from Collections.SuryaUploadData import *
from Collections.SuryaDeploymentData import *
from Collections.SuryaProcessingList import *
from Collections.SuryaCalibrationData import *
from SuryaWebPortal.utils.postparser import *
from SuryaWebPortal.exceptions.UploadException import UploadException
import mongoengine
# Connect to MongoDB
connect('SuryaDB', tz_aware=True)
log = getLog('views')
log.setLevel(logging.DEBUG)
# The cell phone expect the following line as an OK signal in the first line
CUSTOMIZED_PHONE_STATUS_OK = "upok "
CUSTOMIZED_PHONE_STATUS_FAIL = "svrfail "
def get_post_config():
# (required, type, db_name, default, parser)
return { \
"device_id": PostParserArgs(True, "string", "device_id", "None", None), \
The CircleFilter Module uses the Hough Transform to detect circles in a given image
Created on Oct 5, 2010
@author: surya
'''
import opencv
import logging
from BCFilter import BCFilter
from Logging.Logger import getLog
from IANASettings.Settings import BCFilterConstants
from IANASettings.Settings import ExitCode
log = getLog("BCFilterDetector")
log.setLevel(logging.ERROR)
def splitToBands(image):
''' Split the given image into separate bands
Keyword Arguments:
image -- a PIL.Image object
Returns:
if the Image is RGB bands corresponding to R,G,B bands of the image
if the Image is GrayScale then a single band containing the iage itself
'''
if image.mode == 'L':
bands = (image,)
import os
import sys
import errno
import os.path
import logging
import StringIO
import PIL
import PIL.JpegImagePlugin
import PIL.Image as Image
import PIL.ImageDraw as ImageDraw
import PIL.ImageFont as ImageFont
from Logging.Logger import getLog
log = getLog("ImageResize")
log.setLevel(logging.ERROR)
def imageRotate(imagefile, deg):
'''Rotate image'''
# check for string or a mongo gridfs file object
log.error("imagefile type is: " + str(imagefile.__class__))
if isinstance(imagefile, str):
if not os.path.isfile(imagefile):
log.error('imagefile ' + imagefile + ' does not exist', extra=tags)
return None, ExitCode.FileNotExists
image = Image.open(imagefile)
elif isinstance(imagefile, PIL.JpegImagePlugin.JpegImageFile) or isinstance(imagefile, PIL.Image.Image):
image = imagefile
else:
'''
Created on Oct 12, 2010
@author: surya
'''
import pylab
import logging
from BCCResult import BCCResult
from Logging.Logger import getLog
from IANAUtil.Rating import Rating
from Scientific.Functions.LeastSquares import leastSquaresFit
from IANASettings.Settings import ExitCode, BCCCalculatorConstants
log = getLog("BCCCalculator")
log.setLevel(logging.ERROR)
def computeBCC(bcFilterRadius, bcLoading, exposedTime, flowRate):
''' Computes the black carbon concentration(ug/cm^3) according to the formula
BCC(ug/L) = (bcFilterArea(cm^2) * bcLoading(ug/cm^2)) / (exposedTime(min) * flowRate(L/min))
NOTE : since cm^3 = L/1000
BCC(ug/cm^3) = BCC(ug/L) * 1000
Keyword arguments:
bcFilterArea -- The Radius of the filter in cm
bcLoading -- The black carbin loading value in ug/cm^2
exposedTime -- The exposure time of the bcfilter in mins
#!/usr/bin/python
import logging
from Logging.Logger import getLog
from django import forms
log = getLog('forms')
log.setLevel(logging.DEBUG)
class DownloadDataForm(forms.Form):
startDateTime = forms.DateField(required=True, label='Start Date',
widget=forms.DateInput(attrs={'class':'date_picker'}, format='%m/%d/%Y'))
stopDateTime = forms.DateField(required=True, label='Stop Date',
widget=forms.DateInput(attrs={'class':'date_picker'}, format='%m/%d/%Y'))
def __init__(self, *args, **kwards):
super(DownloadDataForm, self).__init__(*args, **kwards)
#self.fields['deviceId'].choices = [ (d.deviceId, "%-10s - %s" % (str(d.deviceName), d.deviceId)) for d in DeviceData.objects ]
def clean_startDateTime(self):
try:
d = self.cleaned_data['startDateTime']
dt = datetime(d.year, d.month, d.day)
self.cleaned_data['startDateTime'] = dt
print "now is " + str(self.cleaned_data)
return dt
except:
raise forms.ValidationError("Invalid Start Date.")
from django.core.paginator import Paginator, InvalidPage, EmptyPage
from Collections.SuryaUploadData import *
from Collections.SuryaGroundTruth import *
from Collections.SuryaDeploymentData import *
from Collections.SuryaProcessingList import *
from Collections.SuryaProcessResult import *
from Collections.SuryaCalibrationData import *
import mongoengine
# Connect to MongoDB
connect("SuryaDB")
log = getLog("views")
log.setLevel(logging.DEBUG)
@login_required
def debug(request):
if not request.user.is_staff:
return redirect("SuryaWebPortal.views.home.home")
t = loader.get_template("debug/debug.html")
c = RequestContext(request, {})
return HttpResponse(t.render(c))
@login_required
def uploads(request, objID=None):
import PIL.ImageFont as ImageFont
from optparse import OptionParser
from Logging.Logger import getLog
from IANASteps.Geometry.Point import Point
from IANASettings.Settings import ExitCode, MainConstants, CalibratorConstants
from IANASteps.QRDetector.QRDetector import detectQR
from IANASteps.StageDetector.StageDetector import detectStage, detectCalibrator
from IANASteps.ImageTransformer.ImageTransformer import transform
from IANASteps.Calibrator.Calibrator import getGrayBars
from IANASteps.BCFilterDetector.BCFilterDetector import splitToBands, detectBCFilter, select, PsycoInit
from IANASteps.BCCCalculator.BCCCalculator import rateFilter
from IANAUtil.Chart import plotChart
from optparse import OptionParser
log = getLog("Main")
log.setLevel(logging.ERROR)
def Main(imagefile, filterRadius, bcGradient, exposedTime, airFlowRate, imageLogLevel, debugImageFile, chartFile, parenttags=None, level=logging.ERROR,):
''' This method analyzes the imageFile, and uses the given parameters to comptute the BCC
Keyword Arguments:
imagefile -- The image file on which to perform the black carbon concentration analysis
filterRadius -- The radius of the filter in the image
bcGradient -- The gradient values to be used in the interpolation to ind the BCVol.
exposedTime -- The time duration for which the filter was exposed.
airFlowRate -- The flowrate of the pump.
imageLogLevel-- 0, no logging, 1 log image, 2 log and show image
debugImageFile -- The name of the debugImage in which to store the image processing debug info.
chartFile -- The name of the chartFile in which to store the plotted results.
parenttags -- The tagstring of the calling function
import psyco
import traceback
import PIL.Image as Image
import PIL.ImageDraw as ImageDraw
import PIL.ImageFont as ImageFont
from Logging.Logger import getLog
from IANASteps.Geometry.Point import Point
from IANASteps.QRDetector.QRDetector import detectQR
from IANASteps.Calibrator.Calibrator import getGrayBars
from IANASteps.StageDetector.StageDetector import detectStage, detectCalibrator
from IANASteps.ImageTransformer.ImageTransformer import transform
from IANASettings.Settings import ExitCode, MainConstants, CalibratorConstants, BCFilterConstants
from IANASteps.BCFilterDetector.BCFilterDetector import splitToBands, detectBCFilter, select, PsycoInit
log = getLog("FeatureExtractor")
log.setLevel(logging.ERROR)
def saveDebugImage(debugImage, debugImagefile, tags):
""" Saves the PIL.Image debugImage to the debugImagefile
Keyword Arguments:
debugImage -- a PIL.Image object
debugImagefile -- a file or string
tags -- tag string of the caliing function for logging
"""
if isinstance(debugImagefile, str):
debugImage.save(debugImagefile)
else:
try:
Created on Nov 2, 2010
@author: surya
'''
'''
Created on Oct 30, 2010
@author: surya
'''
import os
import logging
from Logging.Logger import getLog
log = getLog('AppLock')
log.setLevel(logging.DEBUG)
def getLock(lockFileName, programName, level=logging.DEBUG):
''' Creates a lock file given by the lockname and puts a pid of the current process
in the lock file. If the lock file exists it checks if the a process given by the
pid in the lock file is running. If such a process exits it returns False indicating
failure to create a lock file.
Returns:
Boolean -- True if the process represented by programName isn't already running, False
otherwise.
'''
if os.path.exists(lockFileName):
'''
Created on Nov 2, 2010
@author: surya
'''
import logging
from Logging.Logger import getLog
from IANASteps.BCCCalculator.BCCCalculator import rateFilter
from IANAUtil.Chart import plotChart
from IANASettings.Settings import ExitCode
log = getLog('BCCResultComputation')
def bccResultComputation(sampledRGB, filterRadius, exposedTime, airFlowRate, bcGradient, gradient, chartFile, parenttags=None, level=logging.ERROR):
''' This method gets invoked externally with the specified params and computes the BCVol,
it also plots the chart.
Keyword Arguments:
sampledRGB -- The sampled RGB values of the BCFilter
filterRadius -- The radius of the filter in the image
exposedTime -- The time duration for which the filter was exposed.
airFlowRate -- The flowrate of the pump
bcGradient -- The gradient values to be used in the interpolation to ind the BCVol
gradient -- The gradient/grayscale list that is used in the interpolation
chartFile -- The name of the chartFile in which to store the plotted results
parenttags -- The tag string of the calling function
level -- The logging level
Returns: