conic shaped camera mirror final script
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# color tracking with conic mirror - By: EmaMaker - wed 15 jan 2020
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# Based on:
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# color tracking - By: paolix - ven mag 18 2018
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# Automatic RGB565 Color Tracking Example
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#
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import sensor, image, time, pyb, math
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from pyb import UART
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uart = UART(3,19200, timeout_char = 1000)
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START_BYTE = chr(105) #'i'
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END_BYTE = chr(115) #'s'
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BYTE_UNKNOWN = chr(116) #'t'
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y_found = False
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b_found = False
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#From Arduino Documentation at: https://www.arduino.cc/reference/en/language/functions/math/map/
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def val_map(x, in_min, in_max, out_min, out_max):
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x = int(x)
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in_min = int(in_min)
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in_max = int(in_max)
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out_min = int(out_min)
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out_max = int(out_max)
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return int((x - in_min) * (out_max - out_min) / (in_max - in_min) + out_min)
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# LED Setup ##################################################################
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red_led = pyb.LED(1)
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green_led = pyb.LED(2)
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blue_led = pyb.LED(3)
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red_led.off()
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green_led.off()
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blue_led.on()
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##############################################################################
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thresholds = [ (69, 100, -12, 11, 15, 89), # thresholds yellow goal
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(20, 51, -23, 26, -69, -31)] # thresholds blue goal (6, 31, -15, 4, -35, 0)
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roi = (0, 6, 318, 152)
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# Camera Setup ###############################################################
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'''sensor.reset()
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sensor.set_pixformat(sensor.RGB565)
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sensor.set_framesize(sensor.QVGA)
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sensor.skip_frames(time = 2000)
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sensor.set_auto_gain(False) # must be turned off for color tracking
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sensor.set_auto_whitebal(False) # must be turned off for color tracking
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sensor.set_auto_exposure(False, 10000)
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#sensor.set_backlight(1)
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#sensor.set_brightness(+2)
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#sensor.set_windowing(roi)
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clock = time.clock()'''
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sensor.reset()
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sensor.set_pixformat(sensor.RGB565)
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sensor.set_framesize(sensor.QQVGA)
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sensor.set_contrast(+0)
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sensor.set_saturation(+0)
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sensor.set_brightness(0)
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sensor.set_quality(0)
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sensor.set_auto_exposure(False, 8000)
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sensor.set_auto_gain(True)
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sensor.skip_frames(time = 300)
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clock = time.clock()
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##############################################################################
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while(True):
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clock.tick()
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blue_led.off()
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y_found = False
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b_found = False
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tt_yellow = [(0,999,0,1)] ## creo una lista di tuple per il giallo, valore x = 999 : non trovata
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tt_blue = [(0,999,0,2)] ## creo una lista di tuple per il blue, valore x = 999 : non trovata
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img = sensor.snapshot()
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for blob in img.find_blobs(thresholds, pixels_threshold=75, area_threshold=115, merge = True):
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img.draw_rectangle(blob.rect())
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img.draw_cross(blob.cx(), blob.cy())
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if (blob.code() == 1):
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tt_yellow = tt_yellow + [ (blob.area(),blob.cx(),blob.cy(),blob.code() ) ]
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y_found = True
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if (blob.code() == 2):
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tt_blue = tt_blue + [ (blob.area(),blob.cx(),blob.cy(),blob.code() ) ]
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b_found = True
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tt_yellow.sort(key=lambda tup: tup[0]) ## ordino le liste
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tt_blue.sort(key=lambda tup: tup[0]) ## ordino le liste
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ny = len(tt_yellow)
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nb = len(tt_blue)
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y_area, y1_cx, y1_cy, y_code = tt_yellow[ny-1]
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b_area, b1_cx, b1_cy, b_code = tt_blue[nb-1]
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y_cx = int(img.width() / 2 - y1_cx)
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y_cy = int(img.height() / 2 - y1_cy)
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b_cx = int(img.width() / 2 - b1_cx)
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b_cy = int(img.height() / 2 - b1_cy)
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#Normalize data between 0 and 100
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if y_found == True:
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y_cx = val_map(y_cx, -img.width() / 2, img.width() / 2, 0, 100)
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y_cy = val_map(y_cy, -img.height() / 2, img.height() / 2, 0, 100)
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#Prepare for send as a list of characters
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s_ycx = chr(y_cx)
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s_ycy = chr(y_cy)
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else:
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y_cx = BYTE_UNKNOWN
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y_cy = BYTE_UNKNOWN
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#Prepare for send as a list of characters
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s_ycx = y_cx
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s_ycy = y_cy
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if b_found == True:
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b_cx = val_map(b_cx, -img.width() / 2, img.width() / 2, 0, 100)
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b_cx = val_map(b_cy, -img.height() / 2, img.height() / 2, 0, 100)
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#Prepare for send as a list of characters
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s_bcx = chr(b_cx)
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s_bcy = chr(b_cy)
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else:
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b_cx = BYTE_UNKNOWN
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b_cy = BYTE_UNKNOWN
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#Prepare for send as a list of characters
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s_bcx = b_cx
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s_bcy = b_cy
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#print(str(y_cx) + " | " + str(y_cy) + " --- " + str(b_cx) + " | " + str(b_cy))
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uart.write(START_BYTE)
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uart.write(s_ycx)
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uart.write(s_ycy)
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uart.write(s_bcx)
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uart.write(s_bcy)
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uart.write(END_BYTE)
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@ -30,7 +30,7 @@ blue_led.on()
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# (30, 45, 1, 40, -60, -19)] # thresholds blue goal
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# (30, 45, 1, 40, -60, -19)] # thresholds blue goal
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#
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#
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thresholds = [ (55, 98, -14, 12, 7, 55), # thresholds yellow goal
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thresholds = [ (55, 98, -14, 12, 7, 55), # thresholds yellow goal
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(26, 65, -11, 47, -95, -36)] # thresholds blue goal (6, 31, -15, 4, -35, 0)
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(20, 51, -23, 26, -69, -31)] # thresholds blue goal (6, 31, -15, 4, -35, 0)
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roi = (0, 6, 318, 152)
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roi = (0, 6, 318, 152)
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@ -49,7 +49,7 @@ clock = time.clock()'''
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sensor.reset()
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sensor.reset()
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sensor.set_pixformat(sensor.RGB565)
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sensor.set_pixformat(sensor.RGB565)
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sensor.set_framesize(sensor.QVGA)
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sensor.set_framesize(sensor.QQVGA)
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sensor.set_contrast(+0)
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sensor.set_contrast(+0)
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sensor.set_saturation(+0)
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sensor.set_saturation(+0)
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sensor.set_brightness(0)
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sensor.set_brightness(0)
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@ -79,13 +79,7 @@ while(True):
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tt_blue = [(0,999,0,2)] ## creo una lista di tuple per il blue, valore x = 999 : non trovata
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tt_blue = [(0,999,0,2)] ## creo una lista di tuple per il blue, valore x = 999 : non trovata
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img = sensor.snapshot()
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img = sensor.snapshot()
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for blob in img.find_blobs(thresholds, pixels_threshold=500, area_threshold=700
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for blob in img.find_blobs(thresholds, pixels_threshold=75, area_threshold=100, merge = True):
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, merge = True):
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img.draw_rectangle(blob.rect())
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img.draw_rectangle(blob.rect())
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img.draw_cross(blob.cx(), blob.cy())
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img.draw_cross(blob.cx(), blob.cy())
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