class orange_scanning_images():
def __init__(self):
self.IMAGE640 = Image("640Background.jpg")
self.IMAGE1024 = Image("BlackBackground.gif")
self.IMAGE960 = Image("960x720.jpg")
self.BACKGROUND_IMAGE = self.IMAGE960
self.screen = Show_images()
#self.disp = Display((960, 720)) #((1024, 768)) # Create a display
def scanning_start(self):
img = self.BACKGROUND_IMAGE
img.dl().setFontSize(70)
img.dl().text(
"Orange flap detection",
(210,img.height/3),
# (img.width, img.width),
color=Color.WHITE)
img.dl().text(
"Press Enter",
(340,img.height - 150),
# (img.width, img.width),
color=Color.WHITE)
self.screen.show_till_press_enter(img)
def reading_from_file_image(self, coord_x, coord_y, flat_ratio, slope_ratio, colour_hue, colour_sat):
img = self.BACKGROUND_IMAGE
img.dl().setFontSize(70)
img.dl().text(
"Reading calibration data",
(160,50),
color=Color.WHITE)
img.dl().setFontSize(45)
# img.dl().text("%f" % round(angle_average,2))[0:2]
# "%04i" % found_object_x
text_temp = "Flap coordinates: X - %03i, Y - %03i" % (coord_x,coord_y)
img.dl().text(
text_temp,
(120,250),
color=Color.WHITE)
text_temp = "W/H ratios: flat - %.2f, slope - %.2f" % (round(flat_ratio,3),round(slope_ratio,3))
img.dl().text(
text_temp,
(120,300),
color=Color.WHITE)
text_temp = "Average colour data: Hue - %.1f, Sat - %.1f" % (round(colour_hue,2),round(colour_sat,2))
img.dl().text(
text_temp,
(120,350),
color=Color.WHITE)
img.dl().setFontSize(70)
img.dl().text(
"Press Enter",
(340,img.height - 100),
# (img.width, img.width),
color=Color.WHITE)
self.screen.show_till_press_enter(img)
def no_flaps_found(self, img):
img.dl().setFontSize(70)
img.dl().text(
"Flap was not found",
(245, 30),
# (img.width, img.width),
color=Color.WHITE)
return self.screen.show_briefly_till_n(img)
def show_detected_orange_flap(self, img, detected_flap, FlapWHRatio, position, flat_ratio, slope_ratio):
if position == "Flat":
text_colour = Color.YELLOW
else:
text_colour = Color.RED
img.dl().rectangle2pts(detected_flap.bottomLeftCorner(),
detected_flap.topRightCorner(),
text_colour, width = 3)
img.dl().setFontSize(35)
# to show the width:
width_text = "%s" % detected_flap.width()
width_x = int(detected_flap.bottomLeftCorner()[0] + detected_flap.width()/2 - 15)
width_y = int(detected_flap.bottomLeftCorner()[1] + 5)
img.dl().text(
width_text,
(width_x,width_y),
color=text_colour)
# to show the height:
height_text = "%s" % detected_flap.height()
height_x = int(detected_flap.bottomLeftCorner()[0] + detected_flap.width() + 5)
height_y = int(detected_flap.bottomLeftCorner()[1] - detected_flap.height()/2 - 10)
img.dl().text(
height_text,
(height_x,height_y),
color=text_colour)
img.dl().setFontSize(40)
img.dl().text(
("Detected W/H ratio: %.3f" % (FlapWHRatio)),
(20, 500),
# (img.width, img.width),
color=text_colour)
img.dl().text(
("Flat W/H ratio: %.3f" % (flat_ratio)),
(20, 540),
# (img.width, img.width),
color=Color.YELLOW)
img.dl().text(
("Slope W/H ratio: %.3f" % (slope_ratio)),
(20, 580),
# (img.width, img.width),
color=Color.RED)
img.dl().setFontSize(60)
img.dl().text(
("Flap position is: %s" % position),
(200, 40),
color = text_colour)
return self.screen.show_briefly_till_n(img)
class LED_scanning_images():
def __init__(self):
self.IMAGE640 = Image("640Background.jpg")
self.IMAGE1024 = Image("BlackBackground.gif")
self.IMAGE960 = Image("960x720.jpg")
self.BACKGROUND_IMAGE = self.IMAGE960
self.screen = Show_images()
#self.disp = Display((960, 720)) #((1024, 768)) # Create a display
def scanning_start(self):
img = self.BACKGROUND_IMAGE
img.dl().setFontSize(70)
img.dl().text(
"LED sequence detection",
(205,img.height/3),
# (img.width, img.width),
color=Color.WHITE)
img.dl().text(
"Press Enter",
(340,img.height - 150),
# (img.width, img.width),
color=Color.WHITE)
self.screen.show_till_press_enter(img)
def reading_from_file_image(self, m_led_coord_x, m_led_coord_y,
dist_led, seq_time, avg_hue, avg_sat):
img = self.BACKGROUND_IMAGE
img.dl().setFontSize(70)
img.dl().text(
"Reading calibration data",
(160,50),
color=Color.WHITE)
img.dl().setFontSize(45)
# img.dl().text("%f" % round(angle_average,2))[0:2]
# "%04i" % found_object_x
text_temp = "Main LED coordinates: X - %03i, Y - %03i" % (m_led_coord_x,m_led_coord_y)
img.dl().text(
text_temp,
(120,250),
color=Color.WHITE)
text_temp = "Average colour data: Hue - %.1f, Sat - %.1f" % (round(avg_hue,2),round(avg_sat,2))
img.dl().text(
text_temp,
(120,300),
color=Color.WHITE)
text_temp = "Distance between always on and flashing LED - %.2f" % (round(dist_led,2))
img.dl().text(
text_temp,
(120,350),
color=Color.WHITE)
text_temp = "Sequence length - %i" % seq_time
img.dl().text(
text_temp,
(120,400),
color=Color.WHITE)
img.dl().setFontSize(70)
img.dl().text(
"Press Enter",
(340,img.height - 100),
# (img.width, img.width),
color=Color.WHITE)
self.screen.show_till_press_enter(img)
def looking_for_LED(self, img):
img.dl().setFontSize(70)
img.dl().text(
"Looking for always on LED",
(170, 30),
# (img.width, img.width),
color=Color.WHITE)
return self.screen.show_briefly_till_n(img)
def sequence_scanning_image_shown(self, img, main_blob,
filtered_img_with_LEDs, crop_width,
time_of_current_state, delta_T,
number_of_blobs):
img.dl().blit(filtered_img_with_LEDs, ((main_blob.coordinates()[0] - crop_width/2),
main_blob.coordinates()[1] - crop_width/2))
img.dl().centeredRectangle((main_blob.coordinates()[0],
main_blob.coordinates()[1]),(main_blob.width(),main_blob.height()),
color = Color.RED, width = 2)
img.dl().rectangle2pts(
((main_blob.coordinates()[0] - crop_width/2), (main_blob.coordinates()[1] + crop_width/2)),
((main_blob.coordinates()[0] + crop_width/2), (main_blob.coordinates()[1] - crop_width/2)),
color = Color.YELLOW, width = 2)
if number_of_blobs > 1:
state = "ON"
previous_state = "OFF"
else:
state = "OFF"
previous_state = "ON"
img.dl().setFontSize(70)
img.dl().text(
("LED is: %s for: %.1fs" % (state, round(time_of_current_state,1))),
(240, 30),
# (img.width, img.width),
color=Color.WHITE)
img.dl().setFontSize(50)
img.dl().text(
("Previous state was %s and lasted for: %.2fs" % (previous_state, delta_T)),
(120,img.height - 80),
# (img.width, img.width),
color=Color.WHITE)
return self.screen.show_briefly_till_n(img)
def non_valid_scan(self):
img = self.BACKGROUND_IMAGE
img.dl().setFontSize(70)
img.dl().text(
"Scanning results list:",
(170,50),
color=Color.WHITE)
img.dl().setFontSize(45)
img.dl().text(
"Scanning results are not valid:",
(120,250),
color=Color.WHITE)
img.dl().text(
"Always on LED was not found for ",
(120,300),
color=Color.WHITE)
img.dl().text(
"more than half of the scan time",
(120,350),
color=Color.WHITE)
img.dl().setFontSize(70)
img.dl().text(
"Press Enter",
(340,img.height - 100),
# (img.width, img.width),
color=Color.WHITE)
self.screen.show_till_press_enter(img)
def scanning_done_image(self, results_list, average_period):
img = self.BACKGROUND_IMAGE
img.dl().setFontSize(70)
img.dl().text(
"Scanning results list:",
(210, 50),
color=Color.WHITE)
img.dl().setFontSize(45)
results_limit = 11
iterator = range(1,results_limit)
text_location = 120
for i in iterator:
img.dl().text(
results_list[i],
(100,text_location),
color=Color.WHITE)
text_location = text_location + 50
img.dl().setFontSize(70)
img.dl().text(
("Average period is: %s" % average_period),
(210,img.height - 100),
color=Color.WHITE)
self.screen.show_till_press_enter(img)
class LED_scanning_images():
def __init__(self):
self.IMAGE640 = Image("640Background.jpg")
self.IMAGE1024 = Image("BlackBackground.gif")
self.IMAGE960 = Image("960x720.jpg")
self.BACKGROUND_IMAGE = self.IMAGE960
self.screen = Show_images()
#self.disp = Display((960, 720)) #((1024, 768)) # Create a display
def scanning_start(self):
img = self.BACKGROUND_IMAGE
img.dl().setFontSize(70)
img.dl().text(
"LED sequence detection",
(205, img.height / 3),
# (img.width, img.width),
color=Color.WHITE)
img.dl().text(
"Press Enter",
(340, img.height - 150),
# (img.width, img.width),
color=Color.WHITE)
self.screen.show_till_press_enter(img)
def reading_from_file_image(self, m_led_coord_x, m_led_coord_y, dist_led,
seq_time, avg_hue, avg_sat):
img = self.BACKGROUND_IMAGE
img.dl().setFontSize(70)
img.dl().text("Reading calibration data", (160, 50), color=Color.WHITE)
img.dl().setFontSize(45)
# img.dl().text("%f" % round(angle_average,2))[0:2]
# "%04i" % found_object_x
text_temp = "Main LED coordinates: X - %03i, Y - %03i" % (
m_led_coord_x, m_led_coord_y)
img.dl().text(text_temp, (120, 250), color=Color.WHITE)
text_temp = "Average colour data: Hue - %.1f, Sat - %.1f" % (round(
avg_hue, 2), round(avg_sat, 2))
img.dl().text(text_temp, (120, 300), color=Color.WHITE)
text_temp = "Distance between always on and flashing LED - %.2f" % (
round(dist_led, 2))
img.dl().text(text_temp, (120, 350), color=Color.WHITE)
text_temp = "Sequence length - %i" % seq_time
img.dl().text(text_temp, (120, 400), color=Color.WHITE)
img.dl().setFontSize(70)
img.dl().text(
"Press Enter",
(340, img.height - 100),
# (img.width, img.width),
color=Color.WHITE)
self.screen.show_till_press_enter(img)
def looking_for_LED(self, img):
img.dl().setFontSize(70)
img.dl().text(
"Looking for always on LED",
(170, 30),
# (img.width, img.width),
color=Color.WHITE)
return self.screen.show_briefly_till_n(img)
def sequence_scanning_image_shown(self, img, main_blob,
filtered_img_with_LEDs, crop_width,
time_of_current_state, delta_T,
number_of_blobs):
img.dl().blit(filtered_img_with_LEDs,
((main_blob.coordinates()[0] - crop_width / 2),
main_blob.coordinates()[1] - crop_width / 2))
img.dl().centeredRectangle(
(main_blob.coordinates()[0], main_blob.coordinates()[1]),
(main_blob.width(), main_blob.height()),
color=Color.RED,
width=2)
img.dl().rectangle2pts(((main_blob.coordinates()[0] - crop_width / 2),
(main_blob.coordinates()[1] + crop_width / 2)),
((main_blob.coordinates()[0] + crop_width / 2),
(main_blob.coordinates()[1] - crop_width / 2)),
color=Color.YELLOW,
width=2)
if number_of_blobs > 1:
state = "ON"
previous_state = "OFF"
else:
state = "OFF"
previous_state = "ON"
img.dl().setFontSize(70)
img.dl().text(
("LED is: %s for: %.1fs" %
(state, round(time_of_current_state, 1))),
(240, 30),
# (img.width, img.width),
color=Color.WHITE)
img.dl().setFontSize(50)
img.dl().text(
("Previous state was %s and lasted for: %.2fs" %
(previous_state, delta_T)),
(120, img.height - 80),
# (img.width, img.width),
color=Color.WHITE)
return self.screen.show_briefly_till_n(img)
def non_valid_scan(self):
img = self.BACKGROUND_IMAGE
img.dl().setFontSize(70)
img.dl().text("Scanning results list:", (170, 50), color=Color.WHITE)
img.dl().setFontSize(45)
img.dl().text("Scanning results are not valid:", (120, 250),
color=Color.WHITE)
img.dl().text("Always on LED was not found for ", (120, 300),
color=Color.WHITE)
img.dl().text("more than half of the scan time", (120, 350),
color=Color.WHITE)
img.dl().setFontSize(70)
img.dl().text(
"Press Enter",
(340, img.height - 100),
# (img.width, img.width),
color=Color.WHITE)
self.screen.show_till_press_enter(img)
def scanning_done_image(self, results_list, average_period):
img = self.BACKGROUND_IMAGE
img.dl().setFontSize(70)
img.dl().text("Scanning results list:", (210, 50), color=Color.WHITE)
img.dl().setFontSize(45)
results_limit = 11
iterator = range(1, results_limit)
text_location = 120
for i in iterator:
img.dl().text(results_list[i], (100, text_location),
color=Color.WHITE)
text_location = text_location + 50
img.dl().setFontSize(70)
img.dl().text(("Average period is: %s" % average_period),
(210, img.height - 100),
color=Color.WHITE)
self.screen.show_till_press_enter(img)
