pyUn0.v1.0.py

#!/usr/bin/python
# -*- coding: utf-8 -*-
# -------------------------
# (c) kelu124
# GPLv3
# -------------------------

'''Description: Library for the un0rick platform.'''

__author__      = "kelu124"
__copyright__   = "Copyright 2016, Kelu124"
__license__ = "GPLv3"

'''
Used inter alia in `20181126b` 
'''

import spidev

import json
import time
import datetime
import math
import re
import glob, os
import sys

import numpy as np
from scipy import signal
#from scipy.interpolate import griddata
from scipy.signal import decimate, convolve
import matplotlib.pyplot as plt

try:
	import RPi.GPIO as GPIO
except:
	print "Not loading RPi.GPIO as not on RPi"
    
try:
	import pyexiv2
except:
	print "pyexiv2 does not exist on RPi"

##############
#
# RPI Part
#
##############

#----------------
# DAC Control
#----------------
class us_spi:

	JSON = {}
	spi = spidev.SpiDev()

	JSON["firmware_md5"]="fa6a7560ade6d6b1149b6e78e0de051f"
	JSON["firmware_version"]="e_un0"
	JSON["data"]=[]
	JSON["time"] = unicode(datetime.datetime.now())
	JSON["registers"]={}
	JSON["experiment"]={}
	JSON["parameters"]={}
	JSON["timings"]={}
	JSON["experiment"]["id"] = str(datetime.datetime.now().strftime("%Y%m%d"))+"a"
	JSON["experiment"]["description"]="na"
	JSON["experiment"]["probe"]="na"
	JSON["experiment"]["target"] = "na"
	JSON["experiment"]["position"] = "na"
	JSON["V"]="-1"

	Fech = 0
	Nacq = 0
	LAcq = 0
	NLines = 0

	def CreateDACCurve(self,Deb,Fin,CurveType):
	    n = 200/5
	    DACValues = []
	    for k in range(n+1):
		if CurveType:
		    val = int(Deb+1.0*k*(Fin-Deb)/n)
		else:
		    val = int((Fin-Deb)*k**3/n**3+Deb)
		DACValues.append(val) 
	    DACValues[-1] = 0
	    DACValues[-2] = 0
	    self.setDACCurve(DACValues)
	    return DACValues,len(DACValues)

	def setTimings(self,t1,t2,t3,WaitTill,t5):
	    t4 = WaitTill # 20us delay before acquisition
	    self.setPulseTrain(t1,t2,t3,t4,t5)
	    # Some figures about the acquisitions now
	    self.LAcq = (t5-WaitTill)/1000 #ns to us 
	    self.Nacq = int(self.LAcq * self.Fech * self.NLines)
	    self.JSON["timings"]["t1"]     = t1
	    self.JSON["timings"]["t2"]     = t2
	    self.JSON["timings"]["t3"]     = t3
	    self.JSON["timings"]["t4"]     = WaitTill
	    self.JSON["timings"]["t5"]     = t5
	    self.JSON["timings"]["NAcq"]   = self.Nacq
	    self.JSON["timings"]["LAcq"]   = self.LAcq
	    self.JSON["timings"]["Fech"]   = self.Fech
	    self.JSON["timings"]["NLines"] = self.NLines	 
	    print "NAcq = "+str(self.Nacq)
	    if self.Nacq > 499999:
	        raise NameError('Acquisition length over 500.000 points (8Mb = Flash limit)')
	    return self.Nacq, self.LAcq, self.Fech, self.NLines	   
 
	def setMultiLines(self,Bool):
	    if Bool:
		print "Remember to indicate how many lines"
		self.WriteFPGA(0xEB,1) # Doing one line if 0, several if 1
		self.Nacq = 0
	    else:
		print "Doing a single line"
		self.WriteFPGA(0xEB,0) # Doing one line if 0, several if 1
		self.Nacq = 1
		
	def setDACCurve(self,DACValues):
	    print "Setting up the DAC" 
	    if len(DACValues) < 43: # to correct
		for i in range(len(DACValues)):
		    if (DACValues[i] >= 0) and (DACValues[i] < 1020):
		        self.WriteFPGA(16+i,DACValues[i]/4)
		    else:
		        self.WriteFPGA(16+i,0)
		    #print 16+i,len(DACValues)

	#----------------
	# FPGA Controls
	#----------------

	def WriteFPGA(self,adress,value):
	    self.spi.xfer([0xAA] )
	    self.spi.xfer([adress] )
	    self.spi.xfer([value] )
	    self.JSON["registers"][int(adress)]=value

	    
	def init(self):
	    GPIO.setmode(GPIO.BCM)
	    PRESET = 23 ## Reset for the FPGA
	    IO4 = 26 ## 26 is the output connected to 
	    
	    CS_FLASH = 7
	    GPIO.setup(CS_FLASH,GPIO.OUT)  
	    GPIO.output(CS_FLASH,GPIO.LOW)

	    GPIO.setup(PRESET,GPIO.OUT)
	    GPIO.setup(IO4,GPIO.IN, pull_up_down=GPIO.PUD_DOWN)
	    print "Reset GPIO 23 - Low 1s"
	    GPIO.output(PRESET,GPIO.LOW)
	    time.sleep(3)
	    print "Reset GPIO 23 - High 0.2s"
	    GPIO.output(PRESET,GPIO.HIGH)
	    time.sleep(0.2)
	    self.spi.open(0,0) # CS2 - FPGA, on CE1 = IO4
	    self.spi.mode = 0b01
	    print "spi.cshigh is " + str(self.spi.cshigh)
	    print "spi mode is " + str(self.spi.mode)
	    self.spi.max_speed_hz = 2000000
	    print "spi maxspeed is "+str(self.spi.max_speed_hz)+"hz" 

	#----------------
	# Testing functions
	#----------------

	def TestSPI(self,ncycles):
	    i = 0
	    while i < ncycles:
		self.WriteFPGA(0xEB,0x01) # 0: single mode 1 continious mode
		time.sleep(0.5)
		self.WriteFPGA(0xEB,0x00) # 0: single mode 1 continious mode
		time.sleep(0.5)  
		i = i+1

	def LoopSPI(self):
	    while 1:
		self.WriteFPGA(0xEB,0x01) # 0: single mode 1 continious mode
		self.WriteFPGA(0xEB,0x00) # 0: single mode 1 continious mode


	def LoopAcq(self):
	    while 1:
		self.WriteFPGA(0xEB,0x00) # Doing 1 shot 
		self.WriteFPGA(0xEF,0x01) # Cleaning memory pointer
		self.WriteFPGA(0xEA,0x0) # Software Trig : As to be clear by software
		time.sleep(0.001) # sleep 1ms


	def ClearMem(self):
	    self.WriteFPGA(0xEF,0x01) # To access memory
        
	#----------------
	# Setup functions
	#----------------
	def setMsps(self,F):
	    self.WriteFPGA(0xED,F)
	    self.Fech = float(64/((1+F)))
	    print "Acquisition frequency set at "+str(self.Fech)+" Msps"
	    return self.Fech

	def doAcquisition(self):
	    self.WriteFPGA(0xEF,0x01) # Cleaning memory pointer
	    self.JSON["time"] = unicode(datetime.datetime.now())
	    self.WriteFPGA(0xEA,0x01) # Software Trig : As to be clear by software
	    self.JSON["data"] = []
	    milestone = self.Nacq / 5
	    start = time.time()
	    for i in range(2*self.Nacq+2):
	        self.JSON["data"].append ( self.spi.xfer([0x00] )[0] )
	        if not (i%milestone):
	            print str((50*i)/self.Nacq)+"%"
	    end = time.time()
	    delta = end - start
	    print "Took %.2f seconds to transfer." % delta 
	    print "for "+str(2*self.Nacq+2)+" transfers of data"
	    JSONName = self.JSON["experiment"]["id"]+"-"+str(self.JSON["N"])+".json"
	    with open(JSONName, 'w') as outfile:
	        json.dump(self.JSON, outfile)
	    print JSONName+": file saved."
	    return self.JSON["data"]

	def setNLines(self,n):
	    nMSB, nLSB = n/256,0x00FF&n 
	    self.WriteFPGA(0xEE,nLSB)
	    self.WriteFPGA(0xDE,nMSB)
	    self.NLines = n
	    print "Number of lines: "+str(n)

	def configSPI(self):
	    # Setup FPGA values by default
	    self.setPon(200)          # Set PulseOn
	    self.setPulsesDelay(100)  # Set Lengh between Pon and Poff: 100ns
	    self.setPoff(2000)        # Setting Poff 2us
	    #setDACConstant(20,spi)   # gain at 20mV (2%)
	    self.WriteFPGA(0xEC,0x33) # Set DAC constant
	    self.setDeltaAcq(7000)    # 7us
	    #WriteFPGA(0xEA,0x00)     # Software Trig : As to be clear by software
	    self.WriteFPGA(0xEB,0x00) # 0: single mode 1 continious mode
	    self.WriteFPGA(0xED,0x03) # Frequency of ADC acquisition / sEEADC_freq (3 = 16Msps, 1 = 32, 0 = 64, 2 = 21Msps)
	    self.SetNLines(0xA0)      # How many cycles in countinious mode
	    print "Config FPGA done!"

	def setDACConstant(self,mV):
	    if mV > 1000:
		mV = 1000
	    elif mV < 0:
		mV = 0   
	    hmV = mV/4
	    print "Gain:", mV," mV -- ",hex(hmV)
	    self.WriteFPGA(0xEC,hmV) # Voltage gain control: 0V to 1V


	def setPon(self,POn):
	    if POn > 2500:
		POn = 2500
	    elif POn < 0:
		POn = 0
	    HPon = POn / 10
	    self.JSON["parameters"]["Pon"] = int(POn)
	    self.JSON["parameters"]["Pon_Real"] = int(HPon)
	    print "Pulse width:", POn," ns -- ",hex(HPon)
	    self.WriteFPGA(0xE0,HPon) # set sEEPon
	    return HPon*10
	    
	def setPulsesDelay(self,DeltaPP):
	# Set Lengh between Pon and Poff
	    if DeltaPP > 2500:
		DeltaPP = 2500
	    elif DeltaPP < 0:
		DeltaPP = 0
	    HPP =DeltaPP /10
	    #print  hex(HPP)
	    self.JSON["parameters"]["PulsesDelay"] = int(DeltaPP)
	    self.JSON["parameters"]["PulsesDelay_Real"] = int(HPP)
	    print "Pulses delay:", DeltaPP," ns -- ",hex(HPP)
	    self.WriteFPGA(0xD0,HPP) # set sEEPon
	    return HPP*10

	def setPoff(self,sEEPoff):
	    # Sets the damping length.
	    POff = sEEPoff /10
	    #print sEEPoff,POff
	    POffMSB, POffLSB = 0x00FF&POff/256,0x00FF&POff 
	    print "Poff:", sEEPoff," ns -- ",hex(POffMSB),hex(POffLSB)
	    self.JSON["parameters"]["Poff"] = int(sEEPoff)
	    self.JSON["parameters"]["Poff_Real"] = int(POff)
	    self.WriteFPGA(0xE1,POffMSB) # set sEEPon MSB
	    self.WriteFPGA(0xE2,POffLSB) # set sEEPon LSB
	    return POff*10

	    # Setting Poff to Acq delay sEEDelayACQ
	def setDeltaAcq(self,DeltaAcq):
	    if DeltaAcq > 255*255:
		DeltaAcq = 254*254
	    elif DeltaAcq < 0:
		DeltaAcq = 0

	    hDA = int((1.28*DeltaAcq)/10)
	    hDAMSB, hDALSB = hDA/256 , 0x00FF&hDA 
	    print "Delay between:",hDA*1000/128,"ns -- ", hex(hDAMSB),hex(hDALSB)
	    self.JSON["parameters"]["DeltaAcq"] = int(DeltaAcq)
	    self.JSON["parameters"]["DeltaAcq_Real"] = int(hDA)
	    self.WriteFPGA(0xE3,hDAMSB) # set sEEPon MSB
	    self.WriteFPGA(0xE4,hDALSB) # set sEEPon LSB
	    return DeltaAcq

	def SetLengthAcq(self,LAcqI):
	    LAcqCorrected = int((128*LAcqI)/1000) # (LAcqI*128/1000)
	    #print LAcqCorrected,hex(LAcq),hex(LAcqI)
	    self.JSON["parameters"]["LengthAcq"] = int(LAcqI)
	    self.JSON["parameters"]["LengthAcq_Real"] = int(LAcqCorrected)
	    LAcqMSB, LAcqLSB = 0x00FF&LAcqCorrected/256 , 0x00FF&LAcqCorrected
	    print "Acquisition length: ", int(LAcqCorrected*1000/128), "ns -- ",hex(LAcqMSB),hex(LAcqLSB)
	    self.WriteFPGA(0xE5,LAcqMSB) # set sEEPon MSB
	    self.WriteFPGA(0xE6,LAcqLSB) # set sEEPon LSB
	    return int(LAcqCorrected*1000/128)

	def setPeriodAcq(self,lEPeriod):
	    lEPNs = lEPeriod/10 #ns
	    EPNsMSB, EPNs, EPNsLSB = 0x00FF&lEPNs/(256*256),0x00FF&lEPNs/256,0x0000FF&lEPNs 
	    print "Period between two acquisitions:", lEPNs,"us --", hex(EPNsMSB),hex(EPNs),hex(EPNsLSB) 
	    self.JSON["parameters"]["PeriodAcq"] = int(lEPeriod)
	    self.JSON["parameters"]["PeriodAcq_Real"] = int(lEPNs)
	    self.WriteFPGA(0xE7,EPNsMSB) # Period of one cycle MSB
	    self.WriteFPGA(0xE8,EPNs) # Period of one cycle 15 to 8
	    self.WriteFPGA(0xE9,EPNsLSB) # Period of one cycle LSB
	    return lEPNs*10

	def setPulseTrain(self,Pon,Pdelay,Poff,DelayAcq,Acq):
	    RPon = self.setPon(Pon)
	    RPD = self.setPulsesDelay(RPon+Pdelay)
	    RPOff = self.setPoff(Poff+RPD)
	    RDAcq = self.setDeltaAcq(DelayAcq)
	    LenAcq = self.SetLengthAcq(Acq)
	    print "setPulseTrain Lacq "+str(LenAcq)
	    return LenAcq


##############
#
# Processing Part
#
##############

def MetaDataImg(Modules,Experiment,Category,Description):
    Imgs = []
    for dirpath, dirnames, filenames in os.walk("."):
        for filename in [f for f in filenames if ( f.endswith(".jpg") or f.endswith(".png") )]:
            Imgs.append( os.path.join(dirpath, filename) )

    for FileName in Imgs:
        edit = 0

        metadata = pyexiv2.ImageMetadata(FileName)
        try:
            metadata.read()
        except IOError:
            print "Not an image"
        else:
            # Modules
            metadata['Exif.Image.Software'] = Modules # "matty,cletus"
            metadata['Exif.Image.Make'] = Experiment #"20180516a"
            metadata['Exif.Photo.MakerNote'] = Category #"oscilloscope"
            metadata['Exif.Image.ImageDescription'] = Description #"Unpacking data"
            metadata.write()
            
        print FileName, "done"

def TagImage(FileName,Modules,Experiment,Category,Description):

        metadata = pyexiv2.ImageMetadata(FileName)
        try:
            metadata.read()
        except IOError:
            print "Not an image"
        else:
            metadata['Exif.Image.Software'] = Modules # "matty,cletus"
            metadata['Exif.Image.Make'] = Experiment #"20180516a"
            metadata['Exif.Photo.MakerNote'] = Category #"oscilloscope"
            metadata['Exif.Image.ImageDescription'] = Description #"Unpacking data"
            metadata.write()
	return 1

class us_json:
    
    IDLine = []
    TT1 = []
    TT2 = []
    tmp = [] 
    tdac = [] 
    FFT_x = [] 
    FFT_y = []
    EnvHil= []
    Duration = 0
    FFT_filtered = []
    LengthT = 0
    Nacq = 0
    Raw = [] 
    Signal = []
    SignalFiltered = []
    Registers = {}
    t= []
    fPiezo = 3.5
    f = 0 # sampling freq
    firmware_md5 = ""
    experiment = ""
    len_acq = 0
    len_line= 0
    N = 0
    V = 0
    single = 0
    processed = False
    iD =  0
    TwoDArray = []
    
    def JSONprocessing(self,path):
        #print("This is a message inside the class.")
        IDLine = []
        TT1 = []
        TT2 = []
        tmp = [] 
        tdac = [] 
        with open(path) as json_data:
            DATA = {}
            d = json.load(json_data)
            json_data.close()
            
            self.description = d["experiment"]["description"]
            self.piezo = d["experiment"]["probe"]
            self.time = d["time"] 
    
            A = d["data"] 
            #print d.keys()
            for i in range(len(A)/2-1):
                if (A[2*i+1]) < 128:
                #print "first"
                    value = 128*(A[2*i+0]&0b0000111) + A[2*i+1] - 512
                    IDLine.append(((A[2*i+0]&0b11110000)/16  -8 ) /2 ) # Identify the # of the line
                    TT1.append( (A[2*i+0] & 0b00001000) / 0b1000)
                    TT2.append( (A[2*i+0] & 0b00010000) / 0b10000)
                    tmp.append( 2.0*value/512.0 ) 
                else:
                #print "second"
                    value = 128*(A[2*i+1]&0b111) + A[2*i+2] - 512
                    IDLine.append(((A[2*i+1]&0b11110000)/16 -8) /2 ) # Identify the # of the line
                    TT1.append( (A[2*i+1] & 0b00001000) / 0b1000)
                    TT2.append( (A[2*i+1] & 0b00010000) / 0b10000)
                    tmp.append( 2.0*value/512.0 )
            print "Data acquired"
            self.Registers = d["registers"]
            self.timings = d["timings"]
            self.f = float(64/((1.0+int( d["registers"]["237"] ) )))
            
            t = [ 1.0*x/self.f + self.timings['t4']  for x in range(len(tmp))]
            self.t = t
            
            for i in range(len(IDLine)):
                if IDLine[i] < 0:
                    IDLine[i] = 0
            self.LengthT = len(t)
            
            #self.EnvHil = self.SignalFiltered
            #self.EnvHil = np.asarray(np.abs(signal.rrt(self.SignalFiltered)))

            self.TT1 = TT1
            self.TT2 = TT2
            self.Nacq = d["timings"]["NLines"]
            self.len_acq = len(self.t)
            self.len_line = self.len_acq#/self.Nacq


            # Precising the DAC
            REG = [int(x) for x in d["registers"].keys() if int(x) < 100]
            REG.sort() 
            dac = []
            for k in REG:
                dac.append(d["registers"][str(k)])
            # Building the DAC timeline
            tdac = []
            for pts in t[0:self.len_line]: # @todo -> corriger pour avoir une ligne de 200us
                i = int(pts/5.0) # time in us
		try:
			tdac.append(4.0*d["registers"][str(i+16)])
		except:
			tdac.append(-1)
            
            # Updating the JSON
            self.tdac = tdac
            self.tmp = tmp
            self.single = d["registers"][str(0XEB)]
            self.t = t
            self.IDLine = IDLine
            self.firmware_md5 = d['firmware_md5']
            self.experiment = d['experiment']
            self.parameters = d['parameters']
            self.iD = d['experiment']["id"]
            self.N = d['N']
            self.V = d['V']
            self.processed = True
            
            
    def mkFFT(self):
	if 1:
		self.FFT_x = [ X*self.f / (self.LengthT) for X in range(self.LengthT)] 
		self.FFT_y = np.fft.fft(self.tmp)
		self.FFT_filtered = np.fft.fft(self.tmp)

		for k in range (self.LengthT/2 + 1):
		    if k < (self.LengthT * self.fPiezo * 0.5 / self.f):
		        self.FFT_filtered[k] = 0
		        self.FFT_filtered[-k] = 0
		    if k > (self.LengthT * self.fPiezo *1.5 / self.f):
		        self.FFT_filtered[k] = 0
		        self.FFT_filtered[-k] = 0
		    
		self.SignalFiltered = np.real(np.fft.ifft(self.FFT_filtered))

        if self.processed:
            plt.figure(figsize=(15,5))
            plt.plot(self.FFT_x[1:self.LengthT/2], np.abs(self.FFT_y[1:self.LengthT/2]), 'b-') 
            plt.plot(self.FFT_x[1:self.LengthT/2], np.abs(self.FFT_filtered[1:self.LengthT/2]), 'y-') 
            plt.title( "FFT of "+self.iD + " - acq. #: "+ str(self.N))
            plt.xlabel('Freq (MHz)') 
            plt.tight_layout()
            FileName = "images/"+self.iD+"-"+str(self.N)+"-fft.jpg"
            plt.savefig(FileName)
            plt.show() 
            self.TagImage("matty,cletus",self.iD,"FFT","FFT of the of "+self.iD +" experiment. "+self.experiment["description"])

            
            
    def mkImg(self):
        if self.processed:
            fig, ax1 = plt.subplots(figsize=(20,10))
            ax2 = ax1.twinx() 
            ax2.plot(self.t[0:self.len_line], self.tdac[0:self.len_line], 'g-')
            ax1.plot(self.t[0:self.len_line], self.tmp[0:self.len_line], 'b-')
            plt.title( self.iD + " - acq. #: "+ str(self.N))
            ax1.set_xlabel('Time (us)')
            ax1.set_ylabel('Signal from ADC (V)', color='b')
            ax2.set_ylabel('DAC output in mV (range 0 to 1V)', color='g')
            plt.tight_layout()
            FileName = "images/"+self.iD+"-"+str(self.N)+".jpg"
            plt.savefig(FileName)
            plt.show() 
            #self.TagImage("matty,cletus",self.iD,"graph","Graph of "+self.iD +" experiment. "+self.experiment["description"])

    def TagImage(self,Module,ID,Type,Description):
            ## Updating Metadata
            FileName = "images/"+self.iD+"-"+str(self.N)+".jpg"
            metadata = pyexiv2.ImageMetadata(FileName)
            try:
                metadata.read()
            except IOError:
                print "Not an image"
            else: 
                metadata['Exif.Image.Software'] = Module
                metadata['Exif.Image.Make'] = ID
                metadata['Exif.Photo.MakerNote'] = Type 
                metadata['Exif.Image.ImageDescription'] = Description 
                metadata.write()
                
    def mk2DArray(self):
        L = len(self.tmp)
        img = []
        tmpline = []
        lineindex = 0
        for k in range(L):
            if self.IDLine[k] <> lineindex:
                img.append(tmpline)
                lineindex =  self.IDLine[k]
                tmpline = []
            else:
                tmpline.append(self.tmp[k])
                
                
        self.Duration = (self.parameters['LengthAcq']-self.parameters['DeltaAcq'])/1000.0
        SelfDuration = int(float(self.f)*self.Duration)
        y = [s for s in img if (len(s) > SelfDuration-10 and len(s) < SelfDuration+10)]
        
        CleanImage = np.zeros((len(y),len(self.tmp)/len(y)))
        for i in range(len(y)):
            CleanImage[i][0:len(y[i])] = y[i]
            
        imSize = np.shape(CleanImage)
        #str(float(self.f)*Duration)
        Duration = (self.parameters['LengthAcq']-self.parameters['DeltaAcq'])/1000.0
        
        CleanImage = CleanImage[:,:int(Duration*self.f)]
        plt.figure(figsize = (15,10))
        im = plt.imshow(np.sqrt(np.abs(CleanImage)), cmap='gray', aspect=0.5*(imSize[1]/imSize[0]), interpolation='nearest') 
        
        Title  = "Experiment: " +self.iD+"-"+str(self.N)+"\nDuration: "+str(Duration)+"us ("+str(self.parameters['LengthAcq'])+" - "
        Title += str(self.parameters['DeltaAcq'])+"), for "+str(self.Nacq)
        Title += " repeats "
        Title += "each "+str(self.parameters['PeriodAcq_Real']/128)+" us\n"
        Title += "Fech = "+str(self.f)+"Msps, total of "+str(float(self.f)*Duration)+" pts per line, Nacq = "+str(self.Nacq)+"\n"
        Title += self.experiment["description"]+", probe: "+self.piezo+", target = "+self.experiment["target"]+"\n"
        Title += "Timestamp = "+str(self.time)
    
        plt.title( Title  )
        #plt.colorbar(im, orientation='vertical')  
        plt.tight_layout()
        FileName = "images/2DArray_"+self.iD+"-"+str(self.N)+".jpg"
        plt.savefig(FileName)
        TagImage(FileName,"matty,"+self.piezo,self.iD,"BC",Title.replace("\n",". "))
        plt.show() 
        self.TwoDArray = CleanImage
        return CleanImage
                
    def SaveNPZ(self):
        NPZPath = "data/"+self.iD+"-"+str(self.N)+".npz"
        np.savez(NPZPath, self)
        #print "Saved at "+NPZPath

    def PlotDetail(self,NbLine,Start,Stop):

	TLine = self.len_line/self.f
	Offset = NbLine*self.len_line

	plt.figure(figsize=(15,5))
	plt.plot(self.t[Offset+int(self.len_line*Start/TLine):Offset+int(self.len_line*Stop/TLine)], self.tmp[Offset+int(self.len_line*Start/TLine):int(self.len_line*Stop/TLine)], 'b-') 
	plt.plot(self.t[Offset+int(self.len_line*Start/TLine):Offset+int(self.len_line*Stop/TLine)], self.EnvHil[Offset+int(self.len_line*Start/TLine):int(self.len_line*Stop/TLine)], 'y-') 

	plt.title( "Detail of "+self.iD + " - acq. #: "+ str(self.N)+", between "+str(Start)+" and "+str(Stop)+" (line #"+str(NbLine)+").")
	plt.xlabel('Time in us') 
	plt.tight_layout()
        FileName = "images/detail_"+self.iD+"-"+str(self.N)+"-"+str(Start)+"-"+str(Stop)+"-line"+str(NbLine)+".jpg"
        plt.savefig(FileName)
	plt.show() 

    def mkFiltered(self,img):

        Filtered = []
        FFTFil = []
        if len(img):
            N, L = np.shape(img)
            FFT_x = [ X*self.f / (L) for X in range(L)] 
            for k in range(N):
                FFT_c = np.fft.fft(img[k])
                FFTFil.append(FFT_c)
                for p in range(len(FFT_c)/2+1):
                    if (FFT_x[p] > (1000 * self.fPiezo * 1.27 ) or FFT_x[p] < (1000 * self.fPiezo * 0.7 ) ):
                        FFT_c[p] =  0
                        FFT_c[-p] =  0
                Filtered.append(np.real(np.fft.ifft(FFT_c)))
         

        return Filtered,FFTFil

    def mkSpectrum(self,img):
        Spectrum = []
        Filtered = []
        if len(img):
            N, L = np.shape(img)
            FFT_x = [ X*self.f / (L) for X in range(L)] 
            for k in range(N):
                FFT_c = np.fft.fft(img[k])
                Spectrum.append(FFT_c[0:L/2])


                
            plt.figure(figsize = (15,10))
            plt.imshow(np.sqrt(np.abs(Spectrum)), extent=[0,1000.0*self.f/2,N,0],cmap='hsv', aspect=30.0, interpolation='nearest') 
            
            plt.axvline(x=(1000 * self.fPiezo * 1.27 ),linewidth=4, color='b')
            plt.axvline(x=(1000 * self.fPiezo * 0.7 ),linewidth=4, color='b')
            
            plt.xlabel("Frequency (kHz)")
            plt.ylabel("Lines #")
            
            Title  = "Experiment: " +self.iD+"-"+str(self.N)+"\nDuration: "+str(self.Duration)
            Title += "us ("+str(self.parameters['LengthAcq'])+" - "
            Title += str(self.parameters['DeltaAcq'])+"), for "+str(self.Nacq)
            Title += " repeats "
            Title += "each "+str(self.parameters['PeriodAcq_Real']/128)+" us\n"
            Title += "Fech = "+str(self.f)+"Msps, total of "+str(float(self.f)*self.Duration)+" pts per line, Nacq = "+str(self.Nacq)+"\n"
            Title += self.experiment["description"]+", probe: "+self.piezo+", target = "+self.experiment["target"]+"\n"
            Title += "Timestamp = "+str(self.time)
            plt.title( Title ) 
            plt.tight_layout()
            FileName = "images/Spectrum_"+self.iD+"-"+str(self.N)+".jpg"
            plt.savefig(FileName)
            TagImage(FileName,"matty,"+self.piezo,self.iD,"FFT",Title.replace("\n",". "))
        else:
            "2D Array not created yet"

        return np.abs(Spectrum)
    
##############
#
# Main
#
##############

if __name__ == "__main__":
	print "Loaded!"