コード例 #1
0
    def initMaps(self, size):
        self.size = size
        dt = 0.6
        # CREATE MAPS
        # 1st and 2nd webcam + possible perturbations
        self.webcam1 = WebcamMap("Webcam1", size, dt=dt, numDevice=0)
        self.playcam1 = PlayCamMap("PlayCam1", size)
        self.webcam2 = WebcamMap("Webcam2", size, dt=dt, numDevice=1)
        self.playcam2 = PlayCamMap("PlayCam2", size)
        # 1st webcam basic filtering: HSV color (outputing V)
        self.color_select = ImageColorSelection("ColorSelect", size, dt=dt)
        # one neural field per webcam
        self.field1 = MapDNF("DNF1", size, model='spike', dt=dt)
        self.field2 = MapDNF("DNF2", size, model='spike', dt=dt)
        # computing optical flows from both maps, then translating into colors
        self.flow1 = OpticalFlowMap("OpticalFlow1", size, dt=dt)
        self.flow2 = OpticalFlowMap("OpticalFlow2", size, dt=dt)
        self.ofBGR1 = OpticalFlowToBGR("OFtoBGR1", size=size, dt=dt)
        self.ofBGR2 = OpticalFlowToBGR("OFtoBGR2", size=size, dt=dt)
        # extracting average optical flow (1st webcam) under spikes as BGR coding, then filtering optical flow of webcam 2 accordingly
        self.ofColor = FlowDirectionSelect("SelectDir",
                                           size=1,
                                           dt=dt,
                                           globalSize=size,
                                           sampleSize=0.07)
        self.color_select2 = ImageColorSelection("OptFlowColorSelect",
                                                 size,
                                                 dt=dt,
                                                 color='fullManu')
        # finally summing for webcam 2 the filtered color and the extracted optical flow (coded as color)
        self.aff2 = FuncWithoutKeywords(utils.sumArrays,
                                        "MixedModeInput",
                                        size,
                                        dt=dt)

        # LINK MAPS
        # from webcam 1 to DNF 1
        self.playcam1.addChildren(image=self.webcam1)
        self.color_select.addChildren(image=self.playcam1)
        self.field1.addChildren(aff=self.color_select)
        # from webcam 1 to the extraction under spikes of the selected motion direction
        self.flow1.addChildren(img=self.playcam1)
        self.ofBGR1.addChildren(opticalFlow=self.flow1)
        self.ofColor.addChildren(flowBGR=self.ofBGR1,
                                 colorDNFAct=self.field1.getActivation())
        # from webcam 2 to DNF 2, using the selected motion direction, and mixing with the color filtering
        self.playcam2.addChildren(image=self.webcam2)
        self.flow2.addChildren(img=self.playcam2)
        self.ofBGR2.addChildren(opticalFlow=self.flow2)
        self.color_select2.addChildren(image=self.ofBGR2, hsv=self.ofColor)
        self.aff2.addChildren(of=self.color_select2, col=self.color_select)
        self.field2.addChildren(aff=self.aff2)
        # compute the playCam to avoid some problems TODO fix
        self.playcam1.compute()
        self.playcam2.compute()

        #return the roots
        root = self.field2

        return root
コード例 #2
0
class ModelDNFCamFlow(Model,Renderable):

    def initMaps(self,size):
        self.size = size
        dt = 0.5
        #Create maps
        self.webcam = WebcamMap("Webcam",size,dt=dt,numDevice=0)
        self.flow = OpticalFlowMap("OpticalFlow",size,dt=dt)
        self.channel = ChannelSelect("OFNorm",size,dt=dt,channel=0)
        self.abs = FuncMap2D(utils.abs,"OFIntensity",size,dt=dt)
        self.field = MapDNF("DNF",size,model='spike',dt=dt)
        self.test = OpticalFlowToBGR("test",size=size,dt=dt)
        #Link maps
        self.flow.addChildren(img=self.webcam)
        self.channel.addChildren(map=self.flow)
        self.abs.addChildren(x=self.channel)

        self.field.addChildren(aff=self.abs)

        self.test.addChildren(opticalFlow=self.flow)
        #return the root
        return [self.field,self.test]

    def getArrays(self):
        ret =  [
                self.webcam,
                self.abs,
                self.field,
                self.test,
        ]
        ret.extend(self.field.getArrays())
        return ret

    def onClick(self,mapName,x,y):
            pass
コード例 #3
0
ファイル: modelDNF.py プロジェクト: yabernar/DNF-Tracking
 def initMaps(self, size):
     """We initiate the map and link them"""
     #Create maps
     self.aff = InputMap("Inputs", size)
     self.field = MapDNF("DNF", size, model='spike')
     self.field.addChildren(aff=self.aff)
     #return the root
     return self.field
コード例 #4
0
    def initMaps(self, size):
        self.size = size
        dt = 0.6
        #Create maps
        self.webcam1 = WebcamMap("Webcam1", size, dt=dt, numDevice=0)
        self.webcam1.compute()
        self.playcam1 = PlayCamMap("PlayCam1", size)
        self.webcam2 = WebcamMap("Webcam2", size, dt=dt, numDevice=0)
        self.webcam2.compute()
        self.playcam2 = PlayCamMap("PlayCam2", size)
        self.color_select = ImageColorSelection("ColorSelect", size, dt=dt)
        self.field1 = MapDNF("DNF1", size, model='spike', dt=dt)
        self.field2 = MapDNF("DNF2", size, model='spike', dt=dt)

        self.chan1 = ChannelSelect("chan1", size, dt=dt, channel=0)
        self.chan2 = ChannelSelect("chan2", size, dt=dt, channel=0)

        self.flow1 = OpticalFlowMap("OpticalFlow1", size, dt=dt)
        self.flow2 = OpticalFlowMap("OpticalFlow2", size, dt=dt)

        self.ofBGR1 = OpticalFlowToBGR("OFtoBGR1", size=size, dt=dt)
        self.ofBGR2 = OpticalFlowToBGR("OFtoBGR2", size=size, dt=dt)

        self.ofColor = FlowDirectionSelect("SelectDir",
                                           size=1,
                                           dt=dt,
                                           globalSize=size,
                                           sampleSize=0.07)
        self.color_select2 = ImageColorSelection("OptFlowColorSelect",
                                                 size,
                                                 dt=dt,
                                                 color='fullManu')
        #Link maps
        self.playcam1.addChildren(image=self.webcam1)
        self.color_select.addChildren(image=self.playcam1)
        self.field1.addChildren(aff=self.color_select)

        self.flow1.addChildren(img=self.playcam1)
        self.ofBGR1.addChildren(opticalFlow=self.flow1)

        self.ofColor.addChildren(flowBGR=self.ofBGR1,
                                 colorDNFAct=self.field1.getActivation())

        self.playcam2.addChildren(image=self.webcam2)
        self.flow2.addChildren(img=self.playcam2)
        self.ofBGR2.addChildren(opticalFlow=self.flow2)
        self.color_select2.addChildren(image=self.ofBGR2, hsv=self.ofColor)

        self.field2.addChildren(aff=self.color_select2)
        #compute the playCam to avoid some problems TODO fix
        self.playcam1.compute()
        self.playcam2.compute()

        #return the roots
        root = self.field2

        return root
コード例 #5
0
ファイル: modelDNFdual.py プロジェクト: bchappet/dnfpy
 def initMaps(self,size):
     """We initiate the map and link them"""
     #Create maps
     self.aff = InputMap("Inputs",size)
     self.fieldCNFT = MapDNF("CNFT",size,model='cnft')
     self.fieldSpike = MapDNF("SpikingDNF",size,model='spike')
     self.fieldCNFT.addChildren(aff=self.aff)
     self.fieldSpike.addChildren(aff=self.aff)
     self.field =  [self.fieldCNFT,self.fieldSpike]
     #return the root
     return self.field
コード例 #6
0
 def initMaps(self, size):
     """We initiate the map and link them"""
     #Create maps
     self.aff = InputMap("Inputs", size)
     self.fieldCNFT = MapDNF("CNFT", size, model='cnft')
     self.fieldSpike = MapDNF("SpikingDNF", size, model='spike')
     self.fieldCNFT.addChildren(aff=self.aff)
     self.fieldSpike.addChildren(aff=self.aff)
     self.field = [self.fieldCNFT, self.fieldSpike]
     #return the root
     return self.field
コード例 #7
0
ファイル: modelDNFDualCam.py プロジェクト: bchappet/dnfpy
    def initMaps(self,size):
        self.size = size
        dt = 0.6
        #Create maps
        self.webcam1 = WebcamMap("Webcam1",size,dt=dt,numDevice=0)
        self.playcam1 = PlayCamMap("PlayCam1",size)
        self.webcam2 = WebcamMap("Webcam2",size,dt=dt,numDevice=0)
        self.playcam2 = PlayCamMap("PlayCam2",size)
        self.color_select = ImageColorSelection("ColorSelect",size,dt=dt)
        self.field1 = MapDNF("DNF1",size,model='spike',dt=dt)
        self.field2 = MapDNF("DNF2",size,model='spike',dt=dt)

        self.chan1 = ChannelSelect("chan1",size,dt=dt,channel=0)
        self.chan2 = ChannelSelect("chan2",size,dt=dt,channel=0)

        self.flow1 = OpticalFlowMap("OpticalFlow1",size,dt=dt)
        self.flow2 = OpticalFlowMap("OpticalFlow2",size,dt=dt)

        self.ofBGR1 = OpticalFlowToBGR("OFtoBGR1",size=size,dt=dt)
        self.ofBGR2 = OpticalFlowToBGR("OFtoBGR2",size=size,dt=dt)

        self.ofColor = FlowDirectionSelect("SelectDir",size=1,dt=dt,globalSize=size,
                                                sampleSize=0.07)
        self.color_select2 =  ImageColorSelection("OptFlowColorSelect",size,dt=dt,color='fullManu')
        #Link maps
        self.playcam1.addChildren(image=self.webcam1)
        self.color_select.addChildren(image=self.playcam1)
        self.field1.addChildren(aff=self.color_select)

        self.flow1.addChildren(img=self.playcam1)
        self.ofBGR1.addChildren(opticalFlow=self.flow1)

        self.ofColor.addChildren(flowBGR=self.ofBGR1,colorDNFAct=self.field1.getActivation())

        
        self.playcam2.addChildren(image=self.webcam2)
        self.flow2.addChildren(img=self.playcam2)
        self.ofBGR2.addChildren(opticalFlow=self.flow2)
        self.color_select2.addChildren(image=self.ofBGR2,hsv=self.ofColor)

        self.field2.addChildren(aff=self.color_select2)
        #compute the playCam to avoid some problems TODO fix
        self.playcam1.compute()
        self.playcam2.compute()


        #return the roots
        root = self.field2

        return root
コード例 #8
0
 def initMaps(self, size):
     self.size = size
     dt = 0.6
     #Create maps
     self.webcam = WebcamMap("Webcam", size, dt=dt, numDevice=0)
     self.webcam.compute()
     self.playcam = PlayCamMap("PlayCam", size)
     self.playcam.addChildren(image=self.webcam)
     self.color_select = ImageColorSelection("ColorSelect", size, dt=dt)
     self.field = MapDNF("DNF", size, model='spike', dt=dt)
     #Link maps
     self.color_select.addChildren(image=self.playcam)
     self.aff = self.color_select
     self.field.addChildren(aff=self.aff)
     #return the root
     return self.field
コード例 #9
0
ファイル: modelHPP.py プロジェクト: bchappet/dnfpy
    def initMaps(self,size=49,model="spike",nbStep=0,
                 iExc=1.25,iInh=0.7,wExc=0.1,wInh=10.,alpha=10.,
                 ):
        """We initiate the map and link them"""
        # print("iExc : %s, iInh: %s, wExc %s, wInh %s"%(iExc,iInh,wExc,wInh))
        dt = 0.1
        self.aff = InputMap("Inputs",size)
                            #iStim1 = 0, iStim2 = 0,noiseI=1.,noise_dt=1e10)
        self.field = MapDNF("DNF",size,model=model,nbStep=nbStep, \
                        iExc=iExc,iInh=iInh,wExc=wExc,wInh=wInh)
        self.field.addChildren(aff=self.aff)

        dt2 = 0.01
        self.lat = Lateral("Lateral",size,dt=dt2,delta=0.02)  
        self.exc = HppMap("exc",size,dt=dt2)
        self.inh = HppMap("inh",size,dt=dt2)
        self.lat.addChildren(exc=self.exc,inh=self.inh)


        self.field.lat = self.lat
        self.field.addChildren(lat=self.field.lat)
        self.exc.addChildren(source=self.field.act)
        self.inh.addChildren(source=self.field.act)

        #stats
        #self.stats = StatsList(size,self.aff,self.field.getActivation(),
        #                       self.field,shapeType='gauss')
        #return the roots
        roots =  [self.field]
        #roots.extend(self.stats.getRoots())
        return roots
コード例 #10
0
ファイル: modelRSDNF.py プロジェクト: bchappet/dnfpy
 def initMaps(self,size):
     """We initiate the map and link them"""
     #Create maps
     self.aff = InputMap("Inputs",size)
     self.field = MapDNF("DNF",size)
     self.field.addChildren(aff=self.aff)
     #return the root
     return self.field
コード例 #11
0
ファイル: modelRSDNF.py プロジェクト: bchappet/dnfpy
class ModelDNF(Model,Renderable):
    def initMaps(self,size):
        """We initiate the map and link them"""
        #Create maps
        self.aff = InputMap("Inputs",size)
        self.field = MapDNF("DNF",size)
        self.field.addChildren(aff=self.aff)
        #return the root
        return self.field
    #override Renderable
    def getArrays(self):
        ret =  [self.aff,self.field]
        ret.extend(self.field.getArrays())
        return ret

    def onClick(self,mapName,x,y):
        print("clicked on %s, at coord %s,%s"%(unicode(mapName),x,y))
コード例 #12
0
ファイル: modelDNFCam.py プロジェクト: yabernar/DNF-Tracking
class ModelDNFCam(Model,Renderable):

    def initMaps(self,size):
        self.size = size
        dt = 0.6
        #Create maps
        self.webcam = WebcamMap("Webcam",size,dt=dt,numDevice=0)
        self.webcam.compute()
        self.playcam = PlayCamMap("PlayCam",size)
        self.playcam.addChildren(image=self.webcam)
        self.color_select = ImageColorSelection("ColorSelect",size,dt=dt)
        self.field = MapDNF("DNF",size,model='spike',dt=dt)
        #Link maps
        self.color_select.addChildren(image=self.playcam)
        self.aff = self.color_select
        self.field.addChildren(aff=self.aff)
        #return the root
        return self.field

    def getArrays(self):
        ret =  [
                self.playcam,
                self.aff,
                self.field
        ]
        ret.extend(self.field.getArrays())
        return ret

    def onClick(self,mapName,x,y):
        print("clicked on %s, at coord %s,%s"%(unicode(mapName),x,y))
        if mapName == "PlayCam":
            bgr = self.playcam.getData()
            
            sizeROI = 1 #self.size/10.
            s2 = int(round(sizeROI/2.))
            roi = bgr[y-s2:y+s2,x-s2:x+s2,:] # In BGR order
            hsv = cv2.cvtColor(roi,cv2.COLOR_BGR2HSV)
            colorVal = np.median(hsv[:,:,0])
            satHigh = np.max(hsv[:,:,1])
            satLow = np.min(hsv[:,:,1])
            valHigh = np.max(hsv[:,:,2])
            valLow = np.min(hsv[:,:,2])

            self.color_select.setArg(colorVal=colorVal,satLow=satLow,satHigh=satHigh)
            print("ColorVal = ",colorVal, "SatHigh", satHigh, "SatLow", satLow, "ValHigh", valHigh, "ValLow", valLow)
            return "ColorSelect"
コード例 #13
0
ファイル: modelDNFCam.py プロジェクト: bchappet/dnfpy
class ModelDNFCam(Model,Renderable):

    def initMaps(self,size):
        self.size = size
        dt = 0.6
        #Create maps
        self.webcam = WebcamMap("Webcam",size,dt=dt,numDevice=0)
        self.webcam.compute()
        self.playcam = PlayCamMap("PlayCam",size)
        self.playcam.addChildren(self.webcam)
        self.color_select = ImageColorSelection("ColorSelect",size,dt=dt)
        self.field = MapDNF("DNF",size,model='spike',dt=dt)
        #Link maps
        self.color_select.addChildren(image=self.playcam)
        self.aff = self.color_select
        self.field.addChildren(aff=self.aff)
        #return the root
        return self.field

    def getArrays(self):
        ret =  [
                self.playcam,
                self.aff,
                self.field
        ]
        ret.extend(self.field.getArrays())
        return ret

    def onClick(self,mapName,x,y):
        print("clicked on %s, at coord %s,%s"%(unicode(mapName),x,y))
        if mapName == "PlayCam":
            bgr = self.playcam.getData()

            sizeROI = self.size/10.
            s2 = int(round(sizeROI/2.))
            roi = bgr[y-s2:y+s2,x-s2:x+s2,:]
            hsv = cv2.cvtColor(roi,cv2.COLOR_BGR2HSV)
            colorVal = np.median(hsv[:,:,0])
            satHigh = np.max(hsv[:,:,1])
            satLow = np.min(hsv[:,:,1])
            valHigh = np.max(hsv[:,:,2])
            valLow = np.min(hsv[:,:,2])

            self.color_select.setArg(colorVal=colorVal,satLow=satLow,satHigh=satHigh)
            return "ColorSelect"
コード例 #14
0
ファイル: modelDNF.py プロジェクト: yabernar/DNF-Tracking
class ModelDNF(Model, Renderable):
    def initMaps(self, size):
        """We initiate the map and link them"""
        #Create maps
        self.aff = InputMap("Inputs", size)
        self.field = MapDNF("DNF", size, model='spike')
        self.field.addChildren(aff=self.aff)
        #return the root
        return self.field

    #override Renderable
    def getArrays(self):
        ret = [self.aff, self.field]
        ret.extend(self.field.getArrays())
        return ret

    def onClick(self, mapName, x, y):
        print("clicked on %s, at coord %s,%s" % (unicode(mapName), x, y))
コード例 #15
0
ファイル: modelHPP.py プロジェクト: bchappet/dnfpy
class ModelHPP(Model,Renderable):
    def initMaps(self,size=49,model="spike",nbStep=0,
                 iExc=1.25,iInh=0.7,wExc=0.1,wInh=10.,alpha=10.,
                 ):
        """We initiate the map and link them"""
        # print("iExc : %s, iInh: %s, wExc %s, wInh %s"%(iExc,iInh,wExc,wInh))
        dt = 0.1
        self.aff = InputMap("Inputs",size)
                            #iStim1 = 0, iStim2 = 0,noiseI=1.,noise_dt=1e10)
        self.field = MapDNF("DNF",size,model=model,nbStep=nbStep, \
                        iExc=iExc,iInh=iInh,wExc=wExc,wInh=wInh)
        self.field.addChildren(aff=self.aff)

        dt2 = 0.01
        self.lat = Lateral("Lateral",size,dt=dt2,delta=0.02)  
        self.exc = HppMap("exc",size,dt=dt2)
        self.inh = HppMap("inh",size,dt=dt2)
        self.lat.addChildren(exc=self.exc,inh=self.inh)


        self.field.lat = self.lat
        self.field.addChildren(lat=self.field.lat)
        self.exc.addChildren(source=self.field.act)
        self.inh.addChildren(source=self.field.act)

        #stats
        #self.stats = StatsList(size,self.aff,self.field.getActivation(),
        #                       self.field,shapeType='gauss')
        #return the roots
        roots =  [self.field]
        #roots.extend(self.stats.getRoots())
        return roots

    #override Renderable
    def getArrays(self):
        ret =  [self.aff,self.field,self.exc,self.inh]
        ret.extend(self.field.getArrays())
        #ret.extend(self.stats.getArrays())
        return ret

    def onClick(self,mapName,x,y):
        print("clicked on %s, at coord %s,%s"%(unicode(mapName),x,y))
コード例 #16
0
    def initMaps(self,size):
        self.size = size
        dt = 0.5
        #Create maps
        self.webcam = WebcamMap("Webcam",size,dt=dt,numDevice=0)
        self.flow = OpticalFlowMap("OpticalFlow",size,dt=dt)
        self.channel = ChannelSelect("OFNorm",size,dt=dt,channel=0)
        self.abs = FuncMap2D(utils.abs,"OFIntensity",size,dt=dt)
        self.field = MapDNF("DNF",size,model='spike',dt=dt)
        self.test = OpticalFlowToBGR("test",size=size,dt=dt)
        #Link maps
        self.flow.addChildren(img=self.webcam)
        self.channel.addChildren(map=self.flow)
        self.abs.addChildren(x=self.channel)

        self.field.addChildren(aff=self.abs)

        self.test.addChildren(opticalFlow=self.flow)
        #return the root
        return [self.field,self.test]
コード例 #17
0
ファイル: modelDNFCam.py プロジェクト: bchappet/dnfpy
 def initMaps(self,size):
     self.size = size
     dt = 0.6
     #Create maps
     self.webcam = WebcamMap("Webcam",size,dt=dt,numDevice=0)
     self.webcam.compute()
     self.playcam = PlayCamMap("PlayCam",size)
     self.playcam.addChildren(self.webcam)
     self.color_select = ImageColorSelection("ColorSelect",size,dt=dt)
     self.field = MapDNF("DNF",size,model='spike',dt=dt)
     #Link maps
     self.color_select.addChildren(image=self.playcam)
     self.aff = self.color_select
     self.field.addChildren(aff=self.aff)
     #return the root
     return self.field
コード例 #18
0
ファイル: modelDNFdual.py プロジェクト: bchappet/dnfpy
class ModelDNFdual(Model,Renderable):
    def initMaps(self,size):
        """We initiate the map and link them"""
        #Create maps
        self.aff = InputMap("Inputs",size)
        self.fieldCNFT = MapDNF("CNFT",size,model='cnft')
        self.fieldSpike = MapDNF("SpikingDNF",size,model='spike')
        self.fieldCNFT.addChildren(aff=self.aff)
        self.fieldSpike.addChildren(aff=self.aff)
        self.field =  [self.fieldCNFT,self.fieldSpike]
        #return the root
        return self.field
    #override Renderable
    def getArrays(self):
        ret =  [self.aff,self.fieldCNFT,self.fieldSpike]
        ret.extend(self.fieldCNFT.getArrays())
        ret.extend(self.fieldSpike.getArrays())
        return ret
コード例 #19
0
class ModelDNFdual(Model, Renderable):
    def initMaps(self, size):
        """We initiate the map and link them"""
        #Create maps
        self.aff = InputMap("Inputs", size)
        self.fieldCNFT = MapDNF("CNFT", size, model='cnft')
        self.fieldSpike = MapDNF("SpikingDNF", size, model='spike')
        self.fieldCNFT.addChildren(aff=self.aff)
        self.fieldSpike.addChildren(aff=self.aff)
        self.field = [self.fieldCNFT, self.fieldSpike]
        #return the root
        return self.field

    #override Renderable
    def getArrays(self):
        ret = [self.aff, self.fieldCNFT, self.fieldSpike]
        ret.extend(self.fieldCNFT.getArrays())
        ret.extend(self.fieldSpike.getArrays())
        return ret
コード例 #20
0
ファイル: modelWMCam.py プロジェクト: yabernar/DNF-Tracking
    def initMaps(self, size):
        model = 'spike'
        self.size = size
        dt = 0.6
        wrap = True
        model_ = 'spike'
        #Input
        self.webcam = WebcamMap("Webcam", size=size, dt=dt, numDevice=0)
        self.color_select = ImageColorSelection("Color Select",
                                                size,
                                                dt=dt,
                                                thresh=5)

        mapSize = 0.3
        #Excitatory Memory
        self.fieldE = MapDNF("ExcitatoryField",
                             size,
                             dt=dt,
                             mapSize=mapSize,
                             model='spike',
                             iExc=2.2,
                             iInh=1.5,
                             wExc=0.1 / 2.,
                             wInh=0.2 / 2.)
        #Inhibition memory
        self.fieldI = MapDNF("InhibitoryField",
                             size,
                             dt=dt,
                             mapSize=mapSize,
                             model='spike',
                             iExc=2.2,
                             iInh=1.5,
                             wExc=0.1 / 2.,
                             wInh=0.2 / 2.,
                             h=-0.6)
        #artificial gaussian to bost inhbitory
        center = (size - 1) / 2
        self.gauss = ShortStim("ArtificialOnClickGaussian",
                               size=size,
                               dt=dt,
                               wrap=wrap,
                               timeout=0,
                               intensity=0.,
                               width=0.1,
                               centerX=center,
                               centerY=center)
        #TODO add unlimited amount of input to field
        self.add_gauss_and_input = FuncWithoutKeywords(
            utils.sumArrays, "InputAndArtificialGaussian", size=size, dt=dt)
        self.add_gauss_and_input.addChildren(gauss=self.gauss,
                                             input=self.color_select)

        #Exc - Inh
        self.substract = FuncMap2D(utils.subArrays, "Exc - Inh", size, dt=0.1)

        #Neural field selection
        self.field = MapDNF("DNF", size, model='spike')

        #Link maps

        self.color_select.addChildren(image=self.webcam)
        self.aff = self.color_select

        #Excitatory
        self.fieldE.addChildren(aff=self.aff)

        #Inhibitory
        self.fieldI.addChildren(aff=self.add_gauss_and_input)

        #Exc - Inh
        self.substract.addChildren(a=self.fieldE.getActivation(),
                                   b=self.fieldI.getActivation())
        #Neural field

        self.field.addChildren(aff=self.substract)

        #return the root
        return self.field
コード例 #21
0
ファイル: modelWMCam.py プロジェクト: yabernar/DNF-Tracking
class ModelWMCam(Model, Renderable):
    def initMaps(self, size):
        model = 'spike'
        self.size = size
        dt = 0.6
        wrap = True
        model_ = 'spike'
        #Input
        self.webcam = WebcamMap("Webcam", size=size, dt=dt, numDevice=0)
        self.color_select = ImageColorSelection("Color Select",
                                                size,
                                                dt=dt,
                                                thresh=5)

        mapSize = 0.3
        #Excitatory Memory
        self.fieldE = MapDNF("ExcitatoryField",
                             size,
                             dt=dt,
                             mapSize=mapSize,
                             model='spike',
                             iExc=2.2,
                             iInh=1.5,
                             wExc=0.1 / 2.,
                             wInh=0.2 / 2.)
        #Inhibition memory
        self.fieldI = MapDNF("InhibitoryField",
                             size,
                             dt=dt,
                             mapSize=mapSize,
                             model='spike',
                             iExc=2.2,
                             iInh=1.5,
                             wExc=0.1 / 2.,
                             wInh=0.2 / 2.,
                             h=-0.6)
        #artificial gaussian to bost inhbitory
        center = (size - 1) / 2
        self.gauss = ShortStim("ArtificialOnClickGaussian",
                               size=size,
                               dt=dt,
                               wrap=wrap,
                               timeout=0,
                               intensity=0.,
                               width=0.1,
                               centerX=center,
                               centerY=center)
        #TODO add unlimited amount of input to field
        self.add_gauss_and_input = FuncWithoutKeywords(
            utils.sumArrays, "InputAndArtificialGaussian", size=size, dt=dt)
        self.add_gauss_and_input.addChildren(gauss=self.gauss,
                                             input=self.color_select)

        #Exc - Inh
        self.substract = FuncMap2D(utils.subArrays, "Exc - Inh", size, dt=0.1)

        #Neural field selection
        self.field = MapDNF("DNF", size, model='spike')

        #Link maps

        self.color_select.addChildren(image=self.webcam)
        self.aff = self.color_select

        #Excitatory
        self.fieldE.addChildren(aff=self.aff)

        #Inhibitory
        self.fieldI.addChildren(aff=self.add_gauss_and_input)

        #Exc - Inh
        self.substract.addChildren(a=self.fieldE.getActivation(),
                                   b=self.fieldI.getActivation())
        #Neural field

        self.field.addChildren(aff=self.substract)

        #return the root
        return self.field

    def getArrays(self):
        ret = [
            self.webcam,
            self.aff,
            self.substract,
            self.add_gauss_and_input,
            self.fieldI.getActivation(),
            self.fieldE.getActivation(),
            self.field.getActivation(),
        ]
        return ret

    def onClick(self, mapName, x, y):
        if mapName == "Webcam":
            bgr = self.webcam.getData()

            sizeROI = self.size / 10.
            s2 = int(round(sizeROI / 2.))
            roi = bgr[y - s2:y + s2, x - s2:x + s2, :]
            hsv = cv2.cvtColor(roi, cv2.COLOR_BGR2HSV)
            colorVal = np.median(hsv[:, :, 0])
            satHigh = np.max(hsv[:, :, 1])
            satLow = np.min(hsv[:, :, 1])
            valHigh = np.max(hsv[:, :, 2])
            valLow = np.min(hsv[:, :, 2])
            self.color_select.setArg(colorVal=colorVal,
                                     satLow=satLow,
                                     satHigh=satHigh)
            return "Color Select"
        elif mapName == "InputAndArtificialGaussian":
            time = self.gauss.getArg('time')
            self.gauss.setParams(centerX=x,
                                 centerY=y,
                                 intensity=1.,
                                 timeout=time + 1)
コード例 #22
0
ファイル: modelDNFDualCam2.py プロジェクト: bchappet/dnfpy
class ModelDNFDualCam2(Model,Renderable):

    def initMaps(self,size):
        self.size = size
        dt = 0.6
        #Create maps
        self.webcam1 = WebcamMap("Webcam1",size,dt=dt,numDevice=0)
        self.playcam1 = PlayCamMap("PlayCam1",size)
        self.webcam2 = WebcamMap("Webcam2",size,dt=dt,numDevice=0)
        self.playcam2 = PlayCamMap("PlayCam2",size)
        self.color_select = ImageColorSelection("ColorSelect",size,dt=dt)
        self.field1 = MapDNF("DNF1",size,model='spike',dt=dt)
        self.field2 = MapDNF("DNF2",size,model='spike',dt=dt)
        self.ofBGR2 = OpticalFlowToBGR("OFtoBGR2",size=size,dt=dt)


        self.flow1 = OpticalFlowMap("OpticalFlow1",size,dt=dt)
        self.flow2 = OpticalFlowMap("OpticalFlow2",size,dt=dt)


        self.ofColor = FlowDirectionSelectHSV("SelectDir",size=1,dt=dt,globalSize=size,
                                                sampleSize=0.07)
        self.color_select2 =  ImageColorSelection("OptFlowColorSelect",size,dt=dt,color='fullManu')
        #Link maps
        self.playcam1.addChildren(image=self.webcam1)
        self.color_select.addChildren(image=self.playcam1)
        self.field1.addChildren(aff=self.color_select)

        self.flow1.addChildren(img=self.playcam1)

        self.ofColor.addChildren(flow=self.flow1,colorDNFAct=self.field1.getActivation())

        
        self.playcam2.addChildren(image=self.webcam2)
        self.flow2.addChildren(img=self.playcam2)
        self.ofBGR2.addChildren(opticalFlow=self.flow2)
        self.color_select2.addChildren(image=self.ofBGR2,hsv=self.ofColor)

        self.field2.addChildren(aff=self.color_select2)
        #compute the playCam to avoid some problems TODO fix
        self.playcam1.compute()
        self.playcam2.compute()


        #return the roots
        root = self.field2

        return root

    def getArrays(self):
        ret =  [
                self.playcam1,
                self.color_select,
                self.field1.getActivation(),

                self.ofColor,

                self.playcam2,
                self.ofBGR2,
                self.color_select2,
                self.field2
        ]
        return ret

    def onClick(self,mapName,x,y):
        print mapName.__class__
        if mapName == "PlayCam1":
            bgr = self.playcam1.getData()
            
            sizeROI = self.size/10.
            s2 = round(sizeROI/2.)
            roi = bgr[y-s2:y+s2,x-s2:x+s2,:]
            hsv = cv2.cvtColor(roi,cv2.COLOR_BGR2HSV)
            colorVal = np.median(hsv[:,:,0])
            satHigh = np.max(hsv[:,:,1])
            satLow = np.min(hsv[:,:,1])
            valHigh = np.max(hsv[:,:,2])
            valLow = np.min(hsv[:,:,2])

            self.color_select.setArg(colorVal=colorVal,satLow=satLow,satHigh=satHigh)
            return "ColorSelect"
コード例 #23
0
class ModelDNFDualCam(Model, Renderable):
    def initMaps(self, size):
        self.size = size
        dt = 0.6
        #Create maps
        self.webcam1 = WebcamMap("Webcam1", size, dt=dt, numDevice=0)
        self.webcam1.compute()
        self.playcam1 = PlayCamMap("PlayCam1", size)
        self.webcam2 = WebcamMap("Webcam2", size, dt=dt, numDevice=0)
        self.webcam2.compute()
        self.playcam2 = PlayCamMap("PlayCam2", size)
        self.color_select = ImageColorSelection("ColorSelect", size, dt=dt)
        self.field1 = MapDNF("DNF1", size, model='spike', dt=dt)
        self.field2 = MapDNF("DNF2", size, model='spike', dt=dt)

        self.chan1 = ChannelSelect("chan1", size, dt=dt, channel=0)
        self.chan2 = ChannelSelect("chan2", size, dt=dt, channel=0)

        self.flow1 = OpticalFlowMap("OpticalFlow1", size, dt=dt)
        self.flow2 = OpticalFlowMap("OpticalFlow2", size, dt=dt)

        self.ofBGR1 = OpticalFlowToBGR("OFtoBGR1", size=size, dt=dt)
        self.ofBGR2 = OpticalFlowToBGR("OFtoBGR2", size=size, dt=dt)

        self.ofColor = FlowDirectionSelect("SelectDir",
                                           size=1,
                                           dt=dt,
                                           globalSize=size,
                                           sampleSize=0.07)
        self.color_select2 = ImageColorSelection("OptFlowColorSelect",
                                                 size,
                                                 dt=dt,
                                                 color='fullManu')
        #Link maps
        self.playcam1.addChildren(image=self.webcam1)
        self.color_select.addChildren(image=self.playcam1)
        self.field1.addChildren(aff=self.color_select)

        self.flow1.addChildren(img=self.playcam1)
        self.ofBGR1.addChildren(opticalFlow=self.flow1)

        self.ofColor.addChildren(flowBGR=self.ofBGR1,
                                 colorDNFAct=self.field1.getActivation())

        self.playcam2.addChildren(image=self.webcam2)
        self.flow2.addChildren(img=self.playcam2)
        self.ofBGR2.addChildren(opticalFlow=self.flow2)
        self.color_select2.addChildren(image=self.ofBGR2, hsv=self.ofColor)

        self.field2.addChildren(aff=self.color_select2)
        #compute the playCam to avoid some problems TODO fix
        self.playcam1.compute()
        self.playcam2.compute()

        #return the roots
        root = self.field2

        return root

    def getArrays(self):
        ret = [
            self.playcam1, self.color_select,
            self.field1.getActivation(), self.ofBGR1, self.ofColor,
            self.playcam2, self.ofBGR2, self.color_select2, self.field2
        ]
        return ret

    def onClick(self, mapName, x, y):
        print mapName.__class__
        if mapName == "PlayCam1":
            bgr = self.playcam1.getData()

            sizeROI = self.size / 10.
            s2 = int(round(sizeROI / 2.))
            roi = bgr[y - s2:y + s2, x - s2:x + s2, :]
            hsv = cv2.cvtColor(roi, cv2.COLOR_BGR2HSV)
            colorVal = np.median(hsv[:, :, 0])
            satHigh = np.max(hsv[:, :, 1])
            satLow = np.min(hsv[:, :, 1])
            valHigh = np.max(hsv[:, :, 2])
            valLow = np.min(hsv[:, :, 2])

            self.color_select.setArg(colorVal=colorVal,
                                     satLow=satLow,
                                     satHigh=satHigh)
            return "ColorSelect"
コード例 #24
0
class ModelDNFDualCam_BG(Model, Renderable):
    def initMaps(self, size):
        self.size = size
        dt = 0.6
        # CREATE MAPS
        # 1st and 2nd webcam + possible perturbations
        self.webcam1 = WebcamMap("Webcam1", size, dt=dt, numDevice=0)
        self.playcam1 = PlayCamMap("PlayCam1", size)
        self.webcam2 = WebcamMap("Webcam2", size, dt=dt, numDevice=1)
        self.playcam2 = PlayCamMap("PlayCam2", size)
        # 1st webcam basic filtering: HSV color (outputing V)
        self.color_select = ImageColorSelection("ColorSelect", size, dt=dt)
        # one neural field per webcam
        self.field1 = MapDNF("DNF1", size, model='spike', dt=dt)
        self.field2 = MapDNF("DNF2", size, model='spike', dt=dt)
        # computing optical flows from both maps, then translating into colors
        self.flow1 = OpticalFlowMap("OpticalFlow1", size, dt=dt)
        self.flow2 = OpticalFlowMap("OpticalFlow2", size, dt=dt)
        self.ofBGR1 = OpticalFlowToBGR("OFtoBGR1", size=size, dt=dt)
        self.ofBGR2 = OpticalFlowToBGR("OFtoBGR2", size=size, dt=dt)
        # extracting average optical flow (1st webcam) under spikes as BGR coding, then filtering optical flow of webcam 2 accordingly
        self.ofColor = FlowDirectionSelect("SelectDir",
                                           size=1,
                                           dt=dt,
                                           globalSize=size,
                                           sampleSize=0.07)
        self.color_select2 = ImageColorSelection("OptFlowColorSelect",
                                                 size,
                                                 dt=dt,
                                                 color='fullManu')
        # finally summing for webcam 2 the filtered color and the extracted optical flow (coded as color)
        self.aff2 = FuncWithoutKeywords(utils.sumArrays,
                                        "MixedModeInput",
                                        size,
                                        dt=dt)

        # LINK MAPS
        # from webcam 1 to DNF 1
        self.playcam1.addChildren(image=self.webcam1)
        self.color_select.addChildren(image=self.playcam1)
        self.field1.addChildren(aff=self.color_select)
        # from webcam 1 to the extraction under spikes of the selected motion direction
        self.flow1.addChildren(img=self.playcam1)
        self.ofBGR1.addChildren(opticalFlow=self.flow1)
        self.ofColor.addChildren(flowBGR=self.ofBGR1,
                                 colorDNFAct=self.field1.getActivation())
        # from webcam 2 to DNF 2, using the selected motion direction, and mixing with the color filtering
        self.playcam2.addChildren(image=self.webcam2)
        self.flow2.addChildren(img=self.playcam2)
        self.ofBGR2.addChildren(opticalFlow=self.flow2)
        self.color_select2.addChildren(image=self.ofBGR2, hsv=self.ofColor)
        self.aff2.addChildren(of=self.color_select2, col=self.color_select)
        self.field2.addChildren(aff=self.aff2)
        # compute the playCam to avoid some problems TODO fix
        self.playcam1.compute()
        self.playcam2.compute()

        #return the roots
        root = self.field2

        return root

    def getArrays(self):
        ret = [
            self.playcam1,
            self.color_select,
            self.field1.getActivation(),
            self.ofBGR1,

            #           self.ofColor,
            self.playcam2,
            self.ofBGR2,
            self.color_select2,
            self.aff2,
            self.field2.getActivation()
        ]
        return ret

    def onClick(self, mapName, x, y):
        print mapName.__class__
        if mapName == "PlayCam1":
            bgr = self.playcam1.getData()

            sizeROI = self.size / 10.
            s2 = int(round(sizeROI / 2.))
            roi = bgr[y - s2:y + s2, x - s2:x + s2, :]
            hsv = cv2.cvtColor(roi, cv2.COLOR_BGR2HSV)
            colorVal = np.median(hsv[:, :, 0])
            satHigh = np.max(hsv[:, :, 1])
            satLow = np.min(hsv[:, :, 1])
            valHigh = np.max(hsv[:, :, 2])
            valLow = np.min(hsv[:, :, 2])

            self.color_select.setArg(colorVal=colorVal,
                                     satLow=satLow,
                                     satHigh=satHigh)
            return "ColorSelect"