def lightROIBtn(self):
frame, frameCrop = ft.checkEditing(self, self.frameNumber)
self.lightROI_HT = ft.cv2.selectROI(frame)
ft.cv2.destroyAllWindows()
self.lightROI_HT_recorded = True
def filterParticleSldr(self):
frame, frameCrop = ft.checkEditing(self, self.frameNumber)
getFilteredFrame(self, frameCrop)
self.lbl1_HT.setPixmap(ft.QPixmap.fromImage(self.frame))
self.lbl2_HT.setPixmap(ft.QPixmap.fromImage(self.frameBW))
self.filterParticleSldr_HT.setMaximum(int(self.particleSldrMax.text()))
def HSVSlider_released(self):
frame, frameCrop = ft.checkEditing(self, self.frameNumber)
getFilteredFrame(self, frameCrop)
self.lbl1_HT.setPixmap(ft.QPixmap.fromImage(self.frame))
self.lbl2_HT.setPixmap(ft.QPixmap.fromImage(self.frameBW))
def HSVTracking(self):
scale = True
if not self.scaleIn.text():
scale = False
msg = ft.QMessageBox(self)
msg.setText('The scale [px/mm] has not been specified')
# if self.pyqtVer == '5':
# msg.exec_()
# elif self.pyqtVer == '6':
msg.exec()
firstFrame = int(self.firstFrameIn.text())
lastFrame = int(self.lastFrameIn.text())
self.connectivity = self.connectivityGroup.checkedAction()
self.connectivity = self.connectivity.text()
currentFrame = firstFrame
self.xRight_px = list()
self.xLeft_px = list()
self.xRight_mm = list()
self.xLeft_mm = list()
flameLength_mm = list()
self.frameCount = list()
flameArea = list()
if self.exportVideo_HT.isChecked() or self.exportTrackOverlay_HT.isChecked(
):
fps = (float(self.vFps)) / (int(self.skipFrameIn.text()) + 1)
vName = self.fPath + '-trackedVideo.' + str(
self.vFormat
) # alternative: 'output.{}'.format(vFormat); self.fNameLbl.text()
fourcc = ft.cv2.VideoWriter_fourcc(*self.codec)
size = (int(self.roiThreeIn.text()), int(self.roiFourIn.text()))
# open and set properties
vout = ft.cv2.VideoWriter()
vout.open(vName, fourcc, fps, size, True)
if scale: #this condition prevents crashes in case the scale is not specified
xAxis_lbl1 = self.xAxis_lbl1.currentText()
yAxis_lbl1 = self.yAxis_lbl1.currentText()
xAxis_lbl2 = self.xAxis_lbl2.currentText()
yAxis_lbl2 = self.yAxis_lbl2.currentText()
while (currentFrame < lastFrame):
# print('Frame #:', currentFrame)
frame, frameCrop = ft.checkEditing(self, currentFrame)
if self.filterLight_HT.isChecked() == True:
if self.lightROI_HT_recorded == True:
# looking for frames with a light on (which would increase the red and green channel values of the background)
low = ([5, 5, 10]
) # blueLow, greenLow, redLow (see color tracking)
high = ([255, 255, 255]) # blueHigh, greenHigh, redHigh
low = ft.np.array(
low, dtype='uint8') #this conversion is necessary
high = ft.np.array(high, dtype='uint8')
currentLightROI = frame[self.lightROI_HT[1]:(
self.lightROI_HT[1] +
self.lightROI_HT[3]), self.lightROI_HT[0]:(
self.lightROI_HT[0] + self.lightROI_HT[2])]
newMask = ft.cv2.inRange(currentLightROI, low, high)
frame_light = ft.cv2.bitwise_and(currentLightROI,
currentLightROI,
mask=newMask)
grayFrame_light = ft.cv2.cvtColor(frame_light,
ft.cv2.COLOR_BGR2GRAY)
(thresh_light,
frameBW_light) = ft.cv2.threshold(grayFrame_light, 0, 255,
ft.cv2.THRESH_BINARY)
flamePx_light = ft.np.where(frameBW_light == [255]) #beta
area_lightROI = int(self.lightROI_HT[3] *
self.lightROI_HT[2])
else:
msg = ft.QMessageBox(self)
msg.setText(
'Before the tracking, please click on "Pick a bright region" to select a region where the light is visible.'
)
# if self.pyqtVer == '5':
# msg.exec_()
# elif self.pyqtVer == '6':
msg.exec()
break
if len(
flamePx_light[0]
) < 0.5 * area_lightROI: #if the bright area is larger than the ROI area
getFilteredFrame(self, frameCrop)
print('frame counted')
else:
currentFrame = currentFrame + 1 + int(
self.skipFrameIn.text())
print('frame not counted')
continue
else:
getFilteredFrame(self, frameCrop)
self.xRight_px.append(self.xRight)
self.xLeft_px.append(self.xLeft)
self.xRight_mm.append(self.xRight / float(self.scaleIn.text()))
self.xLeft_mm.append(self.xLeft / float(self.scaleIn.text()))
flameArea.append(self.flameArea)
self.frameCount.append(currentFrame)
if self.exportVideo_HT.isChecked(
) and not self.exportTrackOverlay_HT.isChecked():
vout.write(self.currentFrameRGB_HT)
elif self.exportTrackOverlay_HT.isChecked():
#CAS Add Track lines over cropped video
trackframe = ft.np.copy(frameCrop) # frame is 1080 x 1920
trackframe[:,
min(
self.xRight - 1 - int(self.roiOneIn.text(
)), ft.np.size(trackframe, 1)
)] = 255 # white out line to mark where tracked flame, using relative distance
vout.write(trackframe)
# print('Progress: ', round((currentFrame - firstFrame)/(lastFrame - firstFrame) * 10000)/100, '%')
print('Progress: ',
round((currentFrame - firstFrame) /
(lastFrame - firstFrame) * 10000) / 100,
'%',
'(Frame #: ',
currentFrame,
')',
end='\r')
currentFrame = currentFrame + 1 + int(self.skipFrameIn.text())
try:
self.flameArea = [
areaN / (float(self.scaleIn.text())**2) for areaN in flameArea
]
self.flameArea = ft.np.round(self.flameArea, 3)
self.flameArea = self.flameArea.tolist()
self.timeCount = [
frameN / float(self.vFpsLbl.text())
for frameN in self.frameCount
]
except:
pass
# CAS Add tracking line from flameTracker.py
#if self.HSVTrackingValue == True:
# # Start tracking for export
# #HSVTracking(self)
# # #findFlameEdges_HT(self, frameBW, flamePx)
# getHSVFilteredFrame(self, currentFrame)
# trackframe = frameCrop # frame is 1080 x 1920
# import numpy
# #print(type(frame), numpy.size(frame, 0), 'x', numpy.size(frame, 1))
# #print(type(frameCrop), numpy.size(frameCrop, 0), 'x', numpy.size(frameCrop, 1))
# trackframe[:, min(self.xRight-1 - int(self.roiOneIn.text()), numpy.size(trackframe,1))] = 255 # white out line to mark where tracked flame, using relative distance
# #if self.xRight-1 > numpy.size(trackframe,1):
# # print('xRight would have errored here with value:', self.xRight)
# #cv2.imshow('Frame_With_255_TrackLine', trackframe)
for i in range(len(self.xRight_mm)):
flameLength_mm.append(abs(self.xRight_mm[i] - self.xLeft_mm[i]))
flameLength_mm = ft.np.round(flameLength_mm, 2)
self.flameLength_mm = flameLength_mm.tolist()
print('Progress: 100 % - Tracking completed')
self.msgLabel.setText('Tracking completed')
if self.exportVideo_HT.isChecked(
) or self.exportTrackOverlay_HT.isChecked():
vout.release()
self.msgLabel.setText('Tracking completed and video created.')
# the following approach to calculate the spread rate is the same one used for lumaTracking
movAvgPt = int(
self.movAvgIn_HT.text()
) #this number is half of the interval considered for the spread rate (movAvgPt = 2 means I am considering a total of 5 points (my point, 2 before and 2 after))
self.spreadRateRight = list()
self.spreadRateLeft = list()
if movAvgPt == 0:
for i in range(len(self.timeCount) - 1):
xCoeffRight = ft.np.polyfit(self.timeCount[(i):(i + 2)],
self.xRight_mm[(i):(i + 2)], 1)
xCoeffLeft = ft.np.polyfit(self.timeCount[(i):(i + 2)],
self.xLeft_mm[(i):(i + 2)], 1)
self.spreadRateRight.append(xCoeffRight[0])
self.spreadRateLeft.append(xCoeffLeft[0])
#repeat the last value
self.spreadRateRight.append(xCoeffRight[0])
self.spreadRateLeft.append(xCoeffLeft[0])
else: #here we calculate the instantaneous spread rate based on the moving avg. I also included the initial and final points
for i in range(len(self.timeCount)):
if i - movAvgPt < 0:
xCoeffRight = ft.np.polyfit(
self.timeCount[0:(i + movAvgPt + 1)],
self.xRight_mm[0:(i + movAvgPt + 1)], 1)
xCoeffLeft = ft.np.polyfit(
self.timeCount[0:(i + movAvgPt + 1)],
self.xLeft_mm[0:(i + movAvgPt + 1)], 1)
self.spreadRateRight.append(xCoeffRight[0])
self.spreadRateLeft.append(xCoeffLeft[0])
elif i >= movAvgPt:
xCoeffRight = ft.np.polyfit(
self.timeCount[(i - movAvgPt):(i + movAvgPt + 1)],
self.xRight_mm[(i - movAvgPt):(i + movAvgPt + 1)], 1)
xCoeffLeft = ft.np.polyfit(
self.timeCount[(i - movAvgPt):(i + movAvgPt + 1)],
self.xLeft_mm[(i - movAvgPt):(i + movAvgPt + 1)], 1)
self.spreadRateRight.append(xCoeffRight[0])
self.spreadRateLeft.append(xCoeffLeft[0])
elif i + movAvgPt > len(self.timeCount):
xCoeffRight = ft.np.polyfit(
self.timeCount[(i - movAvgPt):],
self.xRight_mm[(i - movAvgPt):], 1)
xCoeffLeft = ft.np.polyfit(self.timeCount[(i - movAvgPt):],
self.xLeft_mm[(i - movAvgPt):],
1)
self.spreadRateRight.append(xCoeffRight[0])
self.spreadRateLeft.append(xCoeffLeft[0])
self.spreadRateRight = ft.np.round(self.spreadRateRight, 3)
self.spreadRateRight = self.spreadRateRight.tolist()
self.spreadRateLeft = ft.np.round(self.spreadRateLeft, 3)
self.spreadRateLeft = self.spreadRateLeft.tolist()
self.plot1_HT.setLabel('left', str(yAxis_lbl1), color='black', size=14)
self.plot1_HT.setLabel('bottom',
str(xAxis_lbl1),
color='black',
size=14)
self.plot1_HT.getAxis('bottom').setPen(color=(0, 0, 0))
self.plot1_HT.getAxis('left').setPen(color=(0, 0, 0))
self.plot1_HT.addLegend(
offset=[1, 0.1]
) # background color modified in line 122 and 123 of Versions/3.7/lib/python3.7/site-packages/pyqtgraph/graphicsItems
self.plot2_HT.setLabel('left', str(yAxis_lbl2), color='black', size=14)
self.plot2_HT.setLabel('bottom',
str(xAxis_lbl2),
color='black',
size=14)
self.plot2_HT.getAxis('bottom').setPen(color=(0, 0, 0))
self.plot2_HT.getAxis('left').setPen(color=(0, 0, 0))
self.plot2_HT.addLegend(
offset=[1, 0.1]
) # background color modified in line 122 and 123 of Versions/3.7/lib/python3.7/site-packages/pyqtgraph/graphicsItems
xPlot1, yRight1, yLeft1 = selectAxes(self, xAxis_lbl1, yAxis_lbl1)
xPlot2, yRight2, yLeft2 = selectAxes(self, xAxis_lbl2, yAxis_lbl2)
if yAxis_lbl1 == 'Flame length [mm]':
HSVTrackingPlot(self.plot1_HT, xPlot1, yRight1, 'flame length',
'o', 'b')
elif yAxis_lbl1 == 'Flame area [mm2]':
HSVTrackingPlot(self.plot1_HT, xPlot1, yRight1, 'flame area', 'o',
'b')
else:
HSVTrackingPlot(self.plot1_HT, xPlot1, yRight1, 'right edge', 'o',
'b')
HSVTrackingPlot(self.plot1_HT, xPlot1, yLeft1, 'left edge', 't',
'r')
if yAxis_lbl2 == 'Flame length [mm]':
HSVTrackingPlot(self.plot2_HT, xPlot2, yRight2, 'flame length',
'o', 'b')
elif yAxis_lbl2 == 'Flame area [mm2]':
HSVTrackingPlot(self.plot2_HT, xPlot2, yRight2, 'flame area', 'o',
'b')
else:
HSVTrackingPlot(self.plot2_HT, xPlot2, yRight2, 'right edge', 'o',
'b')
HSVTrackingPlot(self.plot2_HT, xPlot2, yLeft2, 'left edge', 't',
'r')
self.win1_HT.setCurrentIndex(
1) #to activate the preview tab in the analysis box
self.win2_HT.setCurrentIndex(1)
def startTracking(self):
global clk, nClicks #, flameDir
# select the variables to plot based on user input
xAxis_lbl1 = self.xAxis_lbl1.currentText()
yAxis_lbl1 = self.yAxis_lbl1.currentText()
xAxis_lbl2 = self.xAxis_lbl2.currentText()
yAxis_lbl2 = self.yAxis_lbl2.currentText()
self.plot1_MT.clear()
self.plot1_MT.setLabel('left', str(yAxis_lbl1), color='black', size=14)
self.plot1_MT.setLabel('bottom', str(xAxis_lbl1), color='black', size=14)
self.plot1_MT.getAxis('bottom').setPen(color=(0, 0, 0))
self.plot1_MT.getAxis('left').setPen(color=(0, 0, 0))
self.plot1_MT.addLegend(offset=[1, 0.1])
firstFrame = int(self.firstFrameIn.text())
lastFrame = int(self.lastFrameIn.text())
# scale = True
#Set up the first frame for analysis and clk for the mouse event
currentFrame = firstFrame
clk = False # False unless the mouse is clicked
posX = dict()
posX_mm = dict()
posY = dict()
posY_mm = dict()
frameCount = dict()
timeCount = dict()
# find out how many points to be selected in each frame
try:
nClicks = int(self.nClicksLbl.text())
except:
nClicks = 1
self.msgLabel.setText('Clicks not specified (=1)')
while (currentFrame < lastFrame):
print('Frame #:', currentFrame, end='\r')
if not self.scaleIn.text():
# scale = False
msg = ft.QMessageBox(self)
msg.setText('The scale [px/mm] has not been specified')
msg.exec()
break
frame, frameCrop = ft.checkEditing(self, currentFrame)
if self.lightROI_MT_recorded == True:
# looking for frames with a light on (which would increase the red and green channel values of the background)
# low and high are the thresholds for each color channel
low = ([5, 5, 10]) # blueLow, greenLow, redLow
high = ([255, 255, 255]) # blueHigh, greenHigh, redHigh
low = ft.np.array(low,
dtype='uint8') #this conversion is necessary
high = ft.np.array(high, dtype='uint8')
currentLightROI = frame[self.lightROI_MT[1]:(self.lightROI_MT[1] +
self.lightROI_MT[3]),
self.lightROI_MT[0]:(self.lightROI_MT[0] +
self.lightROI_MT[2])]
newMask = ft.cv2.inRange(currentLightROI, low, high)
frame_light = ft.cv2.bitwise_and(currentLightROI,
currentLightROI,
mask=newMask)
grayFrame_light = ft.cv2.cvtColor(frame_light,
ft.cv2.COLOR_BGR2GRAY)
(thresh_light,
BW_light) = ft.cv2.threshold(grayFrame_light, 0, 255,
ft.cv2.THRESH_BINARY)
flamePx_light = ft.np.where(BW_light == [255])
area_light = int(self.lightROI_MT[3] * self.lightROI_MT[2])
# if lightStatus == 'lightOff':
if self.filterLight_MT.currentText() == 'Frames light off':
if len(flamePx_light[0]) > 0.5 * area_light: #avoid this frame
currentFrame = currentFrame + 1 + int(
self.skipFrameIn.text())
continue
# elif lightStatus == 'lightOn':
elif self.filterLight_MT.currentText() == 'Frames light on':
if len(flamePx_light[0]) < 0.5 * area_light: #avoid this frame
currentFrame = currentFrame + 1 + int(
self.skipFrameIn.text())
continue
# create the window and the line over the first point clicked
ft.cv2.namedWindow('manualTracking', ft.cv2.WINDOW_AUTOSIZE)
ft.cv2.setWindowTitle('manualTracking', f'MT, frame #: {currentFrame}')
# ft.cv2.namedWindow(f'ManualTracking; frame #: {currentFrame}', ft.cv2.WINDOW_AUTOSIZE)
ft.cv2.setMouseCallback('manualTracking', click)
# ft.cv2.setMouseCallback(f'ManualTracking; frame #: {currentFrame}', click)
#if currentFrame > firstFrame:
if len(posY) > 0:
for n in range(nClicks):
if self.showLines_MT.isChecked() == True:
ft.cv2.line(frameCrop, (0, int(posY[str(n + 1)][0])), (int(
self.roiThreeIn.text()), int(posY[str(n + 1)][0])),
(0, 245, 184), 2)
ft.cv2.imshow('manualTracking', frameCrop)
# ft.cv2.imshow(f'ManualTracking; frame #: {currentFrame}',frameCrop)
self.msgLabel.setText('Tracking started, press (Esc) to quit.')
for n in range(nClicks):
# wait for the mouse event or 'escape' key
while (True):
if clk == True:
clk = False
# the zero location changes based on the flame direction
if self.directionBox.currentText() == 'Left to right':
xClick = xPos + int(self.roiOneIn.text())
elif self.directionBox.currentText() == 'Right to left':
xClick = self.vWidth - int(self.roiOneIn.text()) - xPos
break
if ft.cv2.waitKey(1) == 27: #ord('q')
ft.cv2.destroyAllWindows()
return
# update each position and frame list for the current click
if str(n + 1) in posX:
posX[str(n + 1)].append(xClick)
posX_mm[str(n + 1)].append(xClick / float(self.scaleIn.text()))
posY[str(n + 1)].append(yPos)
posY_mm[str(n + 1)].append(yPos / float(self.scaleIn.text()))
if n == 0: #frames and time are the same for all the clicks
frameCount[str(n + 1)].append(currentFrame)
timeCount[str(n + 1)].append(currentFrame /
float(self.vFpsLbl.text()))
else:
posX[str(n + 1)] = [xClick]
posX_mm[str(n + 1)] = [xClick / float(self.scaleIn.text())]
posY[str(n + 1)] = [yPos]
posY_mm[str(n + 1)] = [yPos / float(self.scaleIn.text())]
if n == 0: #frames and time are the same for all the clicks
frameCount[str(n + 1)] = [currentFrame]
timeCount[str(n + 1)] = [
currentFrame / float(self.vFpsLbl.text())
]
currentFrame = currentFrame + 1 + int(self.skipFrameIn.text())
print('Tracking completed')
self.msgLabel.setText('Tracking completed')
if len(timeCount) == 0:
msg = ft.QMessageBox(self)
msg.setText(
'No frames were detected, please check ROI size and light settings.'
)
msg.exec()
ft.cv2.destroyAllWindows()
self.posX_px = posX
self.posX_plot = posX_mm
self.frames_plot = frameCount
self.time_plot = timeCount
# moving average of the spread rate values
self.spreadRate = dict()
# if scale:
for n in range(nClicks):
for i in range(len(timeCount['1']) - 1):
xCoeff = ft.np.polyfit(timeCount['1'][(i):(i + 2)],
posX_mm[str(n + 1)][(i):(i + 2)], 1)
spreadRate = xCoeff[0]
if str(n + 1) in self.spreadRate:
self.spreadRate[str(n + 1)].append(spreadRate)
else:
self.spreadRate[str(n + 1)] = [spreadRate]
#repeat the last value
self.spreadRate[str(n + 1)].append(xCoeff[0])
self.lbl2_MT.clear()
self.lbl2_MT.addLegend(
offset=[1, 0.1]
) # background color modified in line 122 and 123 of python3.7/site-packages/pyqtgraph/graphicsItems
color = ['b', 'r', 'k', 'g', 'c', 'y']
for n in range(nClicks):
name = 'click{}'.format([n + 1])
try:
clr = color[n]
except:
if n > len(color):
self.msgLabel.setText('Not enough colors for plotting.')
xPlot1, yPlot1 = selectAxes(self, xAxis_lbl1, yAxis_lbl1, n)
xPlot2, yPlot2 = selectAxes(self, xAxis_lbl2, yAxis_lbl2, n)
# manualTrackingPlot(self.lbl1_MT, self.time_plot['1'], self.posX_plot[str(n+1)], name, 'o', clr)
manualTrackingPlot(self.plot1_MT, xPlot1, yPlot1, name, 'o', clr)
# manualTrackingPlot(self.lbl2_MT, self.time_plot['1'], self.spreadRate[str(n+1)], name, 'o', clr)
manualTrackingPlot(self.lbl2_MT, xPlot2, yPlot2, name, 'o', clr)
self.plot1_MT.show()
self.win1_MT.setCurrentIndex(1)
def RGBTracking(self):
scale = True
if not self.scaleIn.text():
scale = False
msg = ft.QMessageBox(self)
msg.setText('The scale [px/mm] has not been specified')
msg.exec()
firstFrame = int(self.firstFrameIn.text())
lastFrame = int(self.lastFrameIn.text())
self.connectivity = self.connectivityGroup.checkedAction()
self.connectivity = self.connectivity.text()
currentFrame = firstFrame
self.xRight_px = list()
self.xLeft_px = list()
self.xRight_mm = list()
self.xLeft_mm = list()
flameLength_mm = list()
self.frameCount = list()
flameArea = list()
if self.exportVideo_RT.isChecked():
fps = (float(self.vFps)) / (int(self.skipFrameIn.text()) + 1)
vName = self.fPath + '-trackedVideo.' + str(self.vFormat)
fourcc = ft.cv2.VideoWriter_fourcc(*self.codec)
size = (int(self.roiThreeIn.text()), int(self.roiFourIn.text()))
# open and set properties
vout = ft.cv2.VideoWriter()
vout.open(vName, fourcc, fps, size, True)
if scale: #this condition prevents crashes in case the scale is not specified
xAxis_lbl1 = self.xAxis_lbl1.currentText()
yAxis_lbl1 = self.yAxis_lbl1.currentText()
xAxis_lbl2 = self.xAxis_lbl2.currentText()
yAxis_lbl2 = self.yAxis_lbl2.currentText()
while (currentFrame < lastFrame):
# print('Frame #:', currentFrame)
frame, frameCrop = ft.checkEditing(self, currentFrame)
if self.filterLight_RT.isChecked() == True:
if self.lightROI_RT_recorded == True: #beta
# looking for frames with a light on (which would increase the red and green channel values of the background)
low = ([5, 5, 10]) # blueLow, greenLow, redLow
high = ([255, 255, 255]) # blueHigh, greenHigh, redHigh
low = ft.np.array(
low, dtype='uint8') #this conversion is necessary
high = ft.np.array(high, dtype='uint8')
currentLightROI = frame[self.lightROI_RT[1]:(
self.lightROI_RT[1] +
self.lightROI_RT[3]), self.lightROI_RT[0]:(
self.lightROI_RT[0] + self.lightROI_RT[2])]
newMask = ft.cv2.inRange(currentLightROI, low, high)
frame_light = ft.cv2.bitwise_and(currentLightROI,
currentLightROI,
mask=newMask)
grayFrame_light = ft.cv2.cvtColor(frame_light,
ft.cv2.COLOR_BGR2GRAY)
(thresh_light,
frameBW_light) = ft.cv2.threshold(grayFrame_light, 0, 255,
ft.cv2.THRESH_BINARY)
flamePx_light = ft.np.where(frameBW_light == [255]) #beta
area_lightROI = int(self.lightROI_RT[3] *
self.lightROI_RT[2])
else:
msg = ft.QMessageBox(self)
msg.setText(
'Before the tracking, please click on "Pick a bright region" to select a region where the light is visible.'
)
msg.exec()
break
if len(
flamePx_light[0]
) < 0.5 * area_lightROI: #if the bright area is larger than the ROI area
getFilteredFrame(self, frameCrop)
else:
currentFrame = currentFrame + 1 + int(
self.skipFrameIn.text())
continue
else:
getFilteredFrame(self, frameCrop)
self.xRight_px.append(self.xRight)
self.xLeft_px.append(self.xLeft)
self.xRight_mm.append(self.xRight / float(self.scaleIn.text()))
self.xLeft_mm.append(self.xLeft / float(self.scaleIn.text()))
flameArea.append(self.flameArea)
self.frameCount.append(currentFrame)
if self.exportVideo_RT.isChecked():
vout.write(self.currentFrameRGB_RT)
print('Progress: ',
round((currentFrame - firstFrame) /
(lastFrame - firstFrame) * 10000) / 100,
'%',
'(Frame #: ',
currentFrame,
')',
end='\r')
currentFrame = currentFrame + 1 + int(self.skipFrameIn.text())
try:
self.flameArea = [
areaN / (float(self.scaleIn.text())**2) for areaN in flameArea
]
self.flameArea = ft.np.round(self.flameArea, 3)
self.flameArea = self.flameArea.tolist()
self.timeCount = [
frameN / float(self.vFpsLbl.text())
for frameN in self.frameCount
]
except:
pass
for i in range(len(self.xRight_mm)):
flameLength_mm.append(abs(self.xRight_mm[i] - self.xLeft_mm[i]))
flameLength_mm = ft.np.round(flameLength_mm, 2)
self.flameLength_mm = flameLength_mm.tolist()
print('Progress: 100 % - Tracking completed')
self.msgLabel.setText('Tracking completed')
if self.exportVideo_RT.isChecked():
vout.release()
self.msgLabel.setText('Tracking completed and video created.')
# the following approach to calculate the spread rate is the same one used for lumaTracking
movAvgPt = int(
self.movAvgIn_RT.text()
) #this number is half of the interval considered for the spread rate (movAvgPt = 2 means I am considering a total of 5 points (my point, 2 before and 2 after))
self.spreadRateRight = list()
self.spreadRateLeft = list()
if movAvgPt == 0:
for i in range(len(self.timeCount) - 1):
xCoeffRight = ft.np.polyfit(self.timeCount[(i):(i + 2)],
self.xRight_mm[(i):(i + 2)], 1)
xCoeffLeft = ft.np.polyfit(self.timeCount[(i):(i + 2)],
self.xLeft_mm[(i):(i + 2)], 1)
self.spreadRateRight.append(xCoeffRight[0])
self.spreadRateLeft.append(xCoeffLeft[0])
#repeat the last value
self.spreadRateRight.append(xCoeffRight[0])
self.spreadRateLeft.append(xCoeffLeft[0])
else: #here we calculate the instantaneous spread rate based on the moving avg. I also included the initial and final points
for i in range(len(self.timeCount)):
if i - movAvgPt < 0:
xCoeffRight = ft.np.polyfit(
self.timeCount[0:(i + movAvgPt + 1)],
self.xRight_mm[0:(i + movAvgPt + 1)], 1)
xCoeffLeft = ft.np.polyfit(
self.timeCount[0:(i + movAvgPt + 1)],
self.xLeft_mm[0:(i + movAvgPt + 1)], 1)
self.spreadRateRight.append(xCoeffRight[0])
self.spreadRateLeft.append(xCoeffLeft[0])
elif i >= movAvgPt:
xCoeffRight = ft.np.polyfit(
self.timeCount[(i - movAvgPt):(i + movAvgPt + 1)],
self.xRight_mm[(i - movAvgPt):(i + movAvgPt + 1)], 1)
xCoeffLeft = ft.np.polyfit(
self.timeCount[(i - movAvgPt):(i + movAvgPt + 1)],
self.xLeft_mm[(i - movAvgPt):(i + movAvgPt + 1)], 1)
self.spreadRateRight.append(xCoeffRight[0])
self.spreadRateLeft.append(xCoeffLeft[0])
elif i + movAvgPt > len(self.timeCount):
xCoeffRight = ft.np.polyfit(
self.timeCount[(i - movAvgPt):],
self.xRight_mm[(i - movAvgPt):], 1)
xCoeffLeft = ft.np.polyfit(self.timeCount[(i - movAvgPt):],
self.xLeft_mm[(i - movAvgPt):],
1)
self.spreadRateRight.append(xCoeffRight[0])
self.spreadRateLeft.append(xCoeffLeft[0])
self.spreadRateRight = ft.np.round(self.spreadRateRight, 3)
self.spreadRateRight = self.spreadRateRight.tolist()
self.spreadRateLeft = ft.np.round(self.spreadRateLeft, 3)
self.spreadRateLeft = self.spreadRateLeft.tolist()
self.plot1_RT.setLabel('left', str(yAxis_lbl1), color='black', size=14)
self.plot1_RT.setLabel('bottom',
str(xAxis_lbl1),
color='black',
size=14)
self.plot1_RT.getAxis('bottom').setPen(color=(0, 0, 0))
self.plot1_RT.getAxis('left').setPen(color=(0, 0, 0))
self.plot1_RT.addLegend(offset=[1, 0.1])
self.plot2_RT.setLabel('left', str(yAxis_lbl2), color='black', size=14)
self.plot2_RT.setLabel('bottom',
str(xAxis_lbl2),
color='black',
size=14)
self.plot2_RT.getAxis('bottom').setPen(color=(0, 0, 0))
self.plot2_RT.getAxis('left').setPen(color=(0, 0, 0))
self.plot2_RT.addLegend(offset=[1, 0.1])
xPlot1, yRight1, yLeft1 = selectAxes(self, xAxis_lbl1, yAxis_lbl1)
xPlot2, yRight2, yLeft2 = selectAxes(self, xAxis_lbl2, yAxis_lbl2)
if yAxis_lbl1 == 'Flame length [mm]':
RGBTrackingPlot(self.plot1_RT, xPlot1, yRight1, 'flame length',
'o', 'b')
elif yAxis_lbl1 == 'Flame area [mm2]':
RGBTrackingPlot(self.plot1_RT, xPlot1, yRight1, 'flame area', 'o',
'b')
else:
RGBTrackingPlot(self.plot1_RT, xPlot1, yRight1, 'right edge', 'o',
'b')
RGBTrackingPlot(self.plot1_RT, xPlot1, yLeft1, 'left edge', 't',
'r')
if yAxis_lbl2 == 'Flame length [mm]':
RGBTrackingPlot(self.plot2_RT, xPlot2, yRight2, 'flame length',
'o', 'b')
elif yAxis_lbl2 == 'Flame area [mm2]':
RGBTrackingPlot(self.plot2_RT, xPlot2, yRight2, 'flame area', 'o',
'b')
else:
RGBTrackingPlot(self.plot2_RT, xPlot2, yRight2, 'right edge', 'o',
'b')
RGBTrackingPlot(self.plot2_RT, xPlot2, yLeft2, 'left edge', 't',
'r')
self.win1_RT.setCurrentIndex(
1) #to activate the preview tab in the analysis box
self.win2_RT.setCurrentIndex(1)