def _saveImageSequenceToQ(self, aCount, aDeltaTime):
if self._getCurrentBrightness() < self.brightnessThreshold:
sensor.activateIRLED()
queueFilename = self._getQueueFilename(self.queueIndex)
captureCount = 0
while(captureCount < aCount):
imgPath = self.queuePath + queueFilename + \
"_" + str(captureCount) + ".jpg"
self.cam.capture(imgPath)
captureCount += 1
time.sleep(aDeltaTime)
# Increments the index used for filename convention
self.queueIndex += 1
# Increments the actual number of image sets in the queue
self.imgSetsInQ += 1
sensor.deactivateIRLED()
def _doTimelapse(self):
if self.debug:
print("Performing timelapse")
fileName = time.strftime("%Y%m%d-%H%M%S.jpg")
savePath = os.path.join(self.timelapseFilePath, fileName)
# tempFilePath = os.path.join(self.tempFilePath,
# self.timelapseLatestImage)
if self._getCurrentBrightness() < self.brightnessThreshold:
sensor.activateIRLED()
self.cam.capture(savePath)
# TODO(geir): Evaluate if we should apply a visual indication of the
# current ROI in the image before saving it?
# Ensure LED is off
sensor.deactivateIRLED()
def _saveImageSequenceToQ(self, aCount, aDeltaTime):
#TM: Boolean indicates that images are being saved (used by run loop)
self._savingImageSequence = True
if self._getCurrentBrightness() < self.brightnessThreshold:
sensor.activateIRLED()
queueFilename = self._getQueueFilename(self.queueIndex)
captureCount = 0
sequenceTimeStamp = time.strftime("%Y%m%d-%H%M%S")
while (captureCount < aCount):
imgPath = self.queuePath + queueFilename + \
"_" + str(captureCount) + ".jpg"
pictureCurrentTime = time.time()
self.cam.capture(imgPath)
afterPictureCurrentTime = time.time()
PictureDeltaTime = afterPictureCurrentTime - pictureCurrentTime
#print PictureDeltaTime
if (PictureDeltaTime < aDeltaTime):
time.sleep(aDeltaTime - PictureDeltaTime)
captureCount += 1
#TM: records time image taken
self.sequenceTimeStampList.append(sequenceTimeStamp)
#TM: records brightness at time image taken
imageBrightness = self._getCurrentBrightness()
self.imageBrightnessList.append(imageBrightness)
# Increments the index used for filename convention
##CircularQ
if self.queueIndex < 999:
self.queueIndex += 1
else:
self.queueIndex = 0
# Increments the actual number of image sets in the queue
self.imgSetsInQ += 1
sensor.deactivateIRLED()
self._savingImageSequence = False
def _doBackgroundRefresh(self):
if self.strProcessor == "backSub":
tempFilePath = os.path.join(self.tempFilePath,
self.timelapseLatestImage)
backgroundCurrentTime = time.time()
if (backgroundCurrentTime - self.lastBackgroundRefrestTime
) > self.backgroundRefreshWaitTime:
self.lastBackgroundRefrestTime = backgroundCurrentTime
if self.debug:
print("Refreshing background")
if self._getCurrentBrightness() < self.brightnessThreshold:
sensor.activateIRLED()
self.cam.capture(tempFilePath)
# IR: Downsample background image
self.backgroundDownSample(self.downLevel)
sensor.deactivateIRLED()
# IR: Reset variables to defaults
self.resolutionX = self.originalResolutionX
self.resolutionY = self.originalResolutionY
self.motionMinArea = self.defaultMotionMinArea
