def Flat_Calibration():
blobs_threshold_flat = 240 # 170 on laptop
blobs_min_size_flat = 1000
flat_calibration_done = False
while not flat_calibration_done: # Repeat until flat flap calibration is performed correctly
flat_image = AcquireFlatImage()
Calibration_coords = get_calibration_coordinates(flat_image)
print "Approximate coordinates of flap: ", Calibration_coords
Calibration_values = ColorAveraging(flat_image, Calibration_coords)
filteredImage = Orange_Flap_V5.apply_filter(Calibration_values, flat_image)
possible_flaps = filteredImage.findBlobs(threshval=blobs_threshold_flat, minsize=blobs_min_size_flat)
if possible_flaps > 1:
possible_flaps = possible_flaps.sortDistance(point=(Calibration_coords[0], Calibration_coords[1]))
# for i in range(0, len(possible_flaps)):
# filteredImage.dl().rectangle2pts(possible_flaps[i].topLeftCorner(),
# possible_flaps[i].bottomRightCorner(),Color.GREEN, width = 5)
# filteredImage.dl().text("%s" %i, (possible_flaps[i].topLeftCorner()), color=Color.RED)
elif possible_flaps < 1:
print "No possible flaps were found, starting calibration again"
continue
flap = possible_flaps[0]
flat_image.dl().rectangle2pts(flap.topLeftCorner(), flap.bottomRightCorner(), Color.RED, width=5)
# closest flap
print "Is the flap marked with red square? Exit the image by left clicking and answer."
disp = Display() # Create a display
while disp.isNotDone(): # Loop until display is not needed anymore
if disp.mouseLeft: # Check if left click was used on display
disp.done = True # Turn off Display
flat_image.show() # Show the image on Display
Display().quit() # Exit the display so it does not go to "Not responding"
while True: # Loop until valid response
userInput = raw_input("Was the flap in a red rectangle in the image? Please, enter Y or N.\n")
userInput = userInput.lower()
if userInput[0] == "y":
flat_calibration_done = True
break
elif userInput[0] == "n":
break
else:
print "Incorrect value entered."
FlapWHRatio = round(float(flap.width()) / float(flap.height()), 4)
values = {
"AvHue": Calibration_values["AvHue"],
"AvSat": Calibration_values["AvSat"],
"StdSat": Calibration_values["StdSat"],
"FlatWHRatio": FlapWHRatio,
"mouseX": Calibration_coords[0],
"mouseY": Calibration_coords[1],
}
return values
def Slope_Calibration(AvHue, AvSat, StdSat, mouseX, mouseY):
blobs_threshold_slope = 240 # 170 on laptop
blobs_min_size_slope = 1000
slope_calibration_done = False
while not slope_calibration_done:
slope_image = AcquireSlopeImage()
filtered_image = Orange_Flap_V5.apply_filter({"AvHue": AvHue, "AvSat": AvSat, "StdSat": StdSat}, slope_image)
possible_flaps = filtered_image.findBlobs(
threshval=blobs_threshold_slope, minsize=blobs_min_size_slope
) # CAN ADD SIZES AND STUFF
if possible_flaps > 1:
possible_flaps = possible_flaps.sortDistance(point=(mouseX, mouseY))
for i in range(0, len(possible_flaps)):
filtered_image.dl().rectangle2pts(
possible_flaps[i].topLeftCorner(), possible_flaps[i].bottomRightCorner(), Color.GREEN, width=5
)
filtered_image.dl().text("%s" % i, (possible_flaps[i].bottomRightCorner()), color=Color.RED)
elif possible_flaps < 1:
print "No flap was found, please take another picture"
continue
flap = possible_flaps[0]
slope_image.dl().rectangle2pts(flap.topLeftCorner(), flap.bottomRightCorner(), Color.RED, width=5)
print "Is the flap marked with red square? Exit the image by left clicking and answer."
disp = Display() # Create a display
while disp.isNotDone(): # Loop until display is not needed anymore
if disp.mouseLeft: # Check if left click was used on display
disp.done = True # Turn off Display
slope_image.show() # Show the image on Display
Display().quit() # Exit the display so it does not go to "Not responding"
while True: # Loop until valid response
userInput = raw_input("Was the flap in a red rectangle in the image? Please, enter Y or N.\n")
userInput = userInput.lower()
if userInput[0] == "y":
slope_calibration_done = True
break
elif userInput[0] == "n":
break
else:
print "Incorrect value entered."
SlopeWHRatio = round(float(flap.width()) / float(flap.height()), 4)
return SlopeWHRatio
def Slope_Calibration(AvHue, AvSat, StdSat, mouseX, mouseY):
blobs_threshold_slope = 240 #170 on laptop
blobs_min_size_slope = 1000
slope_calibration_done = False
while (not slope_calibration_done):
slope_image = AcquireSlopeImage()
filtered_image = Orange_Flap_V5.apply_filter(
{
"AvHue": AvHue,
"AvSat": AvSat,
"StdSat": StdSat
}, slope_image)
possible_flaps = filtered_image.findBlobs(
threshval=blobs_threshold_slope,
minsize=blobs_min_size_slope) #CAN ADD SIZES AND STUFF
if possible_flaps > 1:
possible_flaps = possible_flaps.sortDistance(point=(mouseX,
mouseY))
for i in range(0, len(possible_flaps)):
filtered_image.dl().rectangle2pts(
possible_flaps[i].topLeftCorner(),
possible_flaps[i].bottomRightCorner(),
Color.GREEN,
width=5)
filtered_image.dl().text(
"%s" % i, (possible_flaps[i].bottomRightCorner()),
color=Color.RED)
elif possible_flaps < 1:
print "No flap was found, please take another picture"
continue
flap = possible_flaps[0]
slope_image.dl().rectangle2pts(flap.topLeftCorner(),
flap.bottomRightCorner(),
Color.RED,
width=5)
print "Is the flap marked with red square? Exit the image by left clicking and answer."
disp = Display() # Create a display
while disp.isNotDone(): # Loop until display is not needed anymore
if disp.mouseLeft: # Check if left click was used on display
disp.done = True # Turn off Display
slope_image.show() # Show the image on Display
Display().quit(
) # Exit the display so it does not go to "Not responding"
while True: # Loop until valid response
userInput = raw_input(
"Was the flap in a red rectangle in the image? Please, enter Y or N.\n"
)
userInput = userInput.lower()
if userInput[0] == "y":
slope_calibration_done = True
break
elif userInput[0] == "n":
break
else:
print "Incorrect value entered."
SlopeWHRatio = round(float(flap.width()) / float(flap.height()), 4)
return SlopeWHRatio
def Flat_Calibration():
blobs_threshold_flat = 240 #170 on laptop
blobs_min_size_flat = 1000
flat_calibration_done = False
while (not flat_calibration_done
): # Repeat until flat flap calibration is performed correctly
flat_image = AcquireFlatImage()
Calibration_coords = get_calibration_coordinates(flat_image)
print "Approximate coordinates of flap: ", Calibration_coords
Calibration_values = ColorAveraging(flat_image, Calibration_coords)
filteredImage = Orange_Flap_V5.apply_filter(Calibration_values,
flat_image)
possible_flaps = filteredImage.findBlobs(
threshval=blobs_threshold_flat, minsize=blobs_min_size_flat)
if possible_flaps > 1:
possible_flaps = possible_flaps.sortDistance(
point=(Calibration_coords[0], Calibration_coords[1]))
# for i in range(0, len(possible_flaps)):
# filteredImage.dl().rectangle2pts(possible_flaps[i].topLeftCorner(),
# possible_flaps[i].bottomRightCorner(),Color.GREEN, width = 5)
# filteredImage.dl().text("%s" %i, (possible_flaps[i].topLeftCorner()), color=Color.RED)
elif possible_flaps < 1:
print "No possible flaps were found, starting calibration again"
continue
flap = possible_flaps[0]
flat_image.dl().rectangle2pts(flap.topLeftCorner(),
flap.bottomRightCorner(),
Color.RED,
width=5)
#closest flap
print "Is the flap marked with red square? Exit the image by left clicking and answer."
disp = Display() # Create a display
while disp.isNotDone(): # Loop until display is not needed anymore
if disp.mouseLeft: # Check if left click was used on display
disp.done = True # Turn off Display
flat_image.show() # Show the image on Display
Display().quit(
) # Exit the display so it does not go to "Not responding"
while True: # Loop until valid response
userInput = raw_input(
"Was the flap in a red rectangle in the image? Please, enter Y or N.\n"
)
userInput = userInput.lower()
if userInput[0] == "y":
flat_calibration_done = True
break
elif userInput[0] == "n":
break
else:
print "Incorrect value entered."
FlapWHRatio = round(float(flap.width()) / float(flap.height()), 4)
values = {
"AvHue": Calibration_values["AvHue"],
"AvSat": Calibration_values["AvSat"],
"StdSat": Calibration_values["StdSat"],
"FlatWHRatio": FlapWHRatio,
"mouseX": Calibration_coords[0],
"mouseY": Calibration_coords[1]
}
return values