def init(is_debug, pixformat, delay_time):
#关闭串口，防止初始化过程溢出
uart.deinit()
uart2.deinit()
sensor.reset()
sensor.set_pixformat(sensor.RGB565) #RGB565
sensor.set_framesize(sensor.QVGA) #320*240
sensor.set_gainceiling(128) #增益上限 2,4,8,16,32,64,128
sensor.set_contrast(3) #对比度 -3至3
sensor.set_brightness(0) #亮度。-3至+3
sensor.set_saturation(3) #饱和度。-3至+3
sensor.set_auto_exposure(True) #自动曝光
sensor.skip_frames(time=delay_time)
sensor.set_auto_gain(False) # 在进行颜色追踪时，必须关闭
sensor.set_auto_whitebal(False) # 在进行颜色追踪时，必须关闭
#重新打开串口
uart.init(115200, timeout_char=1000)
uart2.init(115200, timeout_char=1000)
#判断是否debug模式
global CompetitionScene
if is_debug == True:
CompetitionScene = 0
else:
CompetitionScene = 1
def run(argv):
mode = argv
if (mode == 0):
#check Arrow
sensor.reset()
'''sensor.set_auto_gain(False)
sensor.set_contrast(1)
sensor.set_gainceiling(16)
#sensor.set_windowing((200, 200)) # 240x240 center pixels of VGA
sensor.set_framesize(sensor.QQVGA)
sensor.set_pixformat(sensor.GRAYSCALE)
sensor.set_auto_whitebal(False)
'''
sensor.set_pixformat(sensor.GRAYSCALE)
sensor.set_framesize(sensor.QQVGA)
sensor.set_vflip(True)
sensor.set_hmirror(True)
sensor.skip_frames(time=2000)
findArrow()
else:
#check signal mode
sensor.reset()
sensor.set_auto_gain(False)
sensor.set_auto_whitebal(True)
sensor.set_contrast(-3)
sensor.set_brightness(-3)
sensor.set_gainceiling(8)
sensor.set_pixformat(sensor.RGB565)
sensor.set_vflip(True)
sensor.set_framesize(sensor.VGA)
sensor.set_windowing((240, 240)) # 240x240 center pixels of VGA
#sensor.set_windowing((200, 200)) # 200x200 center pixels of VGA
sensor.skip_frames(time=800)
checkSignal()
def test_color_bars():
sensor.reset()
# Set sensor settings
sensor.set_brightness(0)
sensor.set_saturation(3)
sensor.set_gainceiling(8)
sensor.set_contrast(2)
# Set sensor pixel format
sensor.set_framesize(sensor.QVGA)
sensor.set_pixformat(sensor.RGB565)
# Enable colorbar test mode
sensor.set_colorbar(True)
# Skip a few camera to allow the sensor settle down
for i in range(0, 100):
image = sensor.snapshot()
#color bars thresholds
t = [
lambda r, g, b: r < 70 and g < 70 and b < 70, # Black
lambda r, g, b: r < 70 and g < 70 and b > 200, # Blue
lambda r, g, b: r > 200 and g < 70 and b < 70, # Red
lambda r, g, b: r > 200 and g < 70 and b > 200, # Purple
lambda r, g, b: r < 70 and g > 200 and b < 70, # Green
lambda r, g, b: r < 70 and g > 200 and b > 200, # Aqua
lambda r, g, b: r > 200 and g > 200 and b < 70, # Yellow
lambda r, g, b: r > 200 and g > 200 and b > 200
] # White
# color bars are inverted for OV7725
if (sensor.get_id() == sensor.OV7725):
t = t[::-1]
#320x240 image with 8 color bars each one is approx 40 pixels.
#we start from the center of the frame buffer, and average the
#values of 10 sample pixels from the center of each color bar.
for i in range(0, 8):
avg = (0, 0, 0)
idx = 40 * i + 20 #center of colorbars
for off in range(0, 10): #avg 10 pixels
rgb = image.get_pixel(idx + off, 120)
avg = tuple(map(sum, zip(avg, rgb)))
if not t[i](avg[0] / 10, avg[1] / 10, avg[2] / 10):
raise Exception('COLOR BARS TEST FAILED.'
'BAR#(%d): RGB(%d,%d,%d)' %
(i + 1, avg[0] / 10, avg[1] / 10, avg[2] / 10))
print('COLOR BARS TEST PASSED...')
def init(self, robot_):
self.robot = robot_
if self.robot == self.ROBOT_O: #O_bot
self.thresholds = [
(35, 100, 26, 78, 22, 72), #Ball
(68, 100, -19, 27, 41, 81), #Yellow Goal
(20, 41, -6, 15, -55, -15)
] # Blue Goal
self.window = (59, 18, 184, 181)
elif self.robot == self.ROBOT_P2: #P2_bot
self.thresholds = [
(39, 100, 26, 78, 22, 72), #Ball
(68, 100, -19, 27, 41, 81), #Yellow Goal
(20, 41, -6, 25, -55, -15)
] # Blue Goal
self.window = (71, 4, 193, 191)
# sensor setup
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA) #Resolution
sensor.set_windowing(self.window)
sensor.skip_frames(time=1000)
sensor.set_auto_exposure(False)
sensor.set_auto_whitebal(False)
# Need to let the above settings get in...
sensor.skip_frames(time=250)
# === GAIN ===
curr_gain = sensor.get_gain_db()
sensor.set_auto_gain(False, gain_db=curr_gain)
# === EXPOSURE ===
curr_exposure = sensor.get_exposure_us()
sensor.set_auto_exposure(False, exposure_us=int(curr_exposure * 0.5))
# === WHITE BAL ===
sensor.set_auto_whitebal(
False, rgb_gain_db=(-6.02073, -3.762909,
3.33901)) #Must remain false for blob tracking
sensor.set_brightness(2)
sensor.set_contrast(2)
sensor.set_saturation(2)
sensor.skip_frames(time=500)
def init(is_debug,delay_time):
uart.deinit()
sensor.reset()
sensor.set_pixformat(sensor.GRAYSCALE)
sensor.set_framesize(sensor.QVGA)
sensor.set_contrast(3)
sensor.set_brightness(-3)
sensor.set_auto_exposure(True)
sensor.skip_frames(time = delay_time)
sensor.set_auto_whitebal(False)
uart.init(115200,timeout_char=1000)
lcd.init()
global CompetitionScene
if is_debug==True:
CompetitionScene=0
else:
CompetitionScene=1
def test_color_bars():
sensor.reset()
# Set sensor settings
sensor.set_brightness(0)
sensor.set_saturation(0)
sensor.set_gainceiling(8)
sensor.set_contrast(2)
# Set sensor pixel format
sensor.set_framesize(sensor.QVGA)
sensor.set_pixformat(sensor.RGB565)
# Enable colorbar test mode
sensor.set_colorbar(True)
# Skip a few frames to allow the sensor settle down
# Note: This takes more time when exec from the IDE.
for i in range(0, 100):
image = sensor.snapshot()
# Color bars thresholds
t = [lambda r, g, b: r < 50 and g < 50 and b < 50, # Black
lambda r, g, b: r < 50 and g < 50 and b > 200, # Blue
lambda r, g, b: r > 200 and g < 50 and b < 50, # Red
lambda r, g, b: r > 200 and g < 50 and b > 200, # Purple
lambda r, g, b: r < 50 and g > 200 and b < 50, # Green
lambda r, g, b: r < 50 and g > 200 and b > 200, # Aqua
lambda r, g, b: r > 200 and g > 200 and b < 50, # Yellow
lambda r, g, b: r > 200 and g > 200 and b > 200] # White
# 320x240 image with 8 color bars each one is approx 40 pixels.
# we start from the center of the frame buffer, and average the
# values of 10 sample pixels from the center of each color bar.
for i in range(0, 8):
avg = (0, 0, 0)
idx = 40*i+20 # center of colorbars
for off in range(0, 10): # avg 10 pixels
rgb = image.get_pixel(idx+off, 120)
avg = tuple(map(sum, zip(avg, rgb)))
if not t[i](avg[0]/10, avg[1]/10, avg[2]/10):
raise Exception("COLOR BARS TEST FAILED. "
"BAR#(%d): RGB(%d,%d,%d)"%(i+1, avg[0]/10, avg[1]/10, avg[2]/10))
print("COLOR BARS TEST PASSED...")
def init(is_debug, pixformat, delay_time):
uart.deinit()
sensor.reset()
if pixformat == "GRAY":
sensor.set_pixformat(sensor.GRAYSCALE)
elif pixformat == "RGB":
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QQVGA)
sensor.set_gainceiling(128)
sensor.set_contrast(3)
sensor.set_brightness(0)
sensor.set_saturation(3)
sensor.set_auto_exposure(True)
sensor.skip_frames(time=delay_time)
sensor.set_auto_gain(False)
sensor.set_auto_whitebal(False)
uart.init(115200, timeout_char=1000)
global CompetitionScene
if is_debug == True:
CompetitionScene = 0
else:
CompetitionScene = 1
# This example shows off how to do MJPEG streaming in AccessPoint mode.
# Chrome, Firefox and MJpegViewer App on Android have been tested.
# Connect to OPENMV_AP and use this URL: http://192.168.1.1:8080 to view the stream.
import sensor, image, time, network, usocket, sys
SSID ='OPENMV_AP' # Network SSID
KEY ='1234567890' # Network key (must be 10 chars)
HOST = '' # Use first available interface
PORT = 8080 # Arbitrary non-privileged port
# Reset sensor
sensor.reset()
# Set sensor settings
sensor.set_contrast(1)
sensor.set_brightness(1)
sensor.set_saturation(1)
sensor.set_gainceiling(16)
sensor.set_framesize(sensor.QQVGA)
sensor.set_pixformat(sensor.GRAYSCALE)
# Init wlan module in AP mode.
wlan = network.WINC(mode=network.WINC.MODE_AP)
wlan.start_ap(SSID, key=KEY, security=wlan.WEP, channel=2)
# You can block waiting for client to connect
#print(wlan.wait_for_sta(10000))
def start_streaming(s):
print ('Waiting for connections..')
client, addr = s.accept()
import sensor, image, lcd, time
import KPU as kpu
lcd.init(freq=15000000)
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
#sensor.set_hmirror(1)
#sensor.set_vflip(1)
sensor.set_windowing((224, 224))
sensor.set_brightness(2)
#sensor.set_contrast(-1)
#sensor.set_auto_gain(1,2)
sensor.run(1)
clock = time.clock()
classes = ['class_1']
task = kpu.load(0x300000)
anchor = (1, 1.2, 2, 3, 4, 3, 6, 4, 5, 6.5)
a = kpu.init_yolo2(task, 0.17, 0.3, 5, anchor)
while (True):
clock.tick()
img = sensor.snapshot()
code = kpu.run_yolo2(task, img)
print(clock.fps())
if code:
for i in code:
a = img.draw_rectangle(i.rect())
a = lcd.display(img)
print(i.classid(), i.value())
for i in code:
def Square_Sum(data,datalen):
i = 0
z = 0
for i in range(datalen):
z = z + data[i]*data[i]
return z
#设置摄像头相关参数
sensor.reset()
sensor.set_pixformat(sensor.RGB565) #设置图片格式（彩色/灰度图）
sensor.set_framesize(sensor.QVGA) #设置图像大小
sensor.skip_frames(10) #等待设置生效
sensor.set_auto_whitebal(False) #关闭白平衡
sensor.set_auto_gain(False) #关闭自动亮度调节
sensor.set_contrast(0) #对比度 -3~3 7个调节
sensor.set_brightness(0) #亮度
sensor.set_saturation(0) #饱和度
uart = UART(3,115200) #设置串口
led = pyb.LED(3) #提示灯
clock = time.clock() #初始化时钟
#颜色识别区域的中心坐标
x_distance = y_distance = 0
#路径识别参数
ROIS = [ # [ROI, weight]
#(0, 110, 160, 10),
#(0, 100, 160, 10),
(0, 090, 160, 10),
(0, 080, 160, 10),
# Filters are image functions that process a single line at a time.
# Since filters process lines on the fly, they run at sensor speed.
# Note: Only one filter can be enabled at a time.
import time, sensor
# Reset sensor
sensor.reset()
# Set sensor settings
sensor.set_contrast(1)
sensor.set_brightness(3)
sensor.set_saturation(3)
sensor.set_gainceiling(16)
sensor.set_framesize(sensor.QVGA)
sensor.set_pixformat(sensor.GRAYSCALE)
# Enable BW filter
sensor.set_image_filter(sensor.FILTER_BW, lower=200, upper=255)
# Enable SKIN filter (Note doesn't work very well on RGB)
#sensor.set_image_filter(sensor.FILTER_SKIN)
# FPS clock
clock = time.clock()
while (True):
clock.tick()
img = sensor.snapshot()
# Draw FPS
# Note: Actual FPS is higher, the IDE slows down streaming.
img.draw_string(0, 0, "FPS:%.2f"%(clock.fps()))
import sensor, avi, time
REC_LENGTH = 15 # recording length in seconds
# Set sensor parameters
sensor.reset()
sensor.set_brightness(-2)
sensor.set_contrast(1)
sensor.set_framesize(sensor.QVGA)
sensor.set_pixformat(sensor.JPEG)
vid = avi.AVI("1:/test.avi", 320, 240, 15)
start = time.ticks()
clock = time.clock()
while ((time.ticks()-start) < (REC_LENGTH*1000)):
clock.tick()
# capture and store frame
image = sensor.snapshot()
vid.add_frame(image)
print(clock.fps())
vid.flush()
# ||| GAIN |||
curr_gain = sensor.get_gain_db()
sensor.set_auto_gain(False, gain_db=curr_gain)
# ||| EXPOSURE |||
curr_exposure = sensor.get_exposure_us()
sensor.set_auto_exposure(False, exposure_us = int(curr_exposure))
# ||| WHITE BAL |||
sensor.set_auto_whitebal(False,
rgb_gain_db=curr_wbal)
# ||| SET VALUES & WINDOWING |||
sensor.set_windowing(vwin_val)
sensor.set_saturation(3)
sensor.set_brightness(3) #Change to -3
sensor.set_contrast(3)
# ||| INDICATOR LED |||
LED(1).on()
time.sleep(100)
LED(1).off()
# ||| SCANS FOR BIGGEST BLOB |||
def BiggestBlob(bBlob):
if not bBlob:
return None
maxBlob = bBlob[0]
for blob in bBlob:
if blob.area() > maxBlob.area():
maxBlob = blob
import sensor, image, time
from pyb import *
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QQVGA)
sensor.skip_frames(10)
sensor.set_auto_exposure(False)
sensor.set_auto_whitebal(False, (-6.317097, -6.02073, -6.774588))
sensor.set_brightness(-3)
uart = UART(3, 115200, timeout_char=1000)
red_threshold = (51, 9, 15, 88, -16, 66) #(82, 18, 40, 90, 3, 51)
yellow_threshold = (82, 13, -29, 55, 26, 68) #(82, 36, 2, 53, 29, 71)
blue_threshold = (68, 24, -34, 9, -59, 3) #(64, 19, -7, 28, -60, -26)
area = 3500
time_out = 120 * 1000
servo1 = Servo(1)
servo2 = Servo(2)
def send_finish_flag():
uart.writechar(0xFF)
delay(1)
uart.writechar(0x46)
delay(1)
uart.writechar(0x23)
delay(1)
#get the gains and exposure
gain_db = sensor.get_gain_db()
exposure_us = sensor.get_exposure_us()
rgb_gain_db = sensor.get_rgb_gain_db()
print("gain_db is " + str(gain_db))
print("exposure is " + str(exposure_us))
print("rgb_gain_db is " + str(rgb_gain_db))
# Set the gain and exposure as fixed (not concerned about the values)
sensor.set_auto_gain(False, gain_db)
sensor.set_auto_exposure(False, exposure_us)
sensor.set_auto_whitebal(False, rgb_gain_db)
# Setup contrast, brightness and saturation
sensor.set_contrast(0) # range -3 to +3
sensor.set_brightness(0) # range -3 to +3
sensor.set_saturation(0) # range -3 to +3
# Disable night mode (auto frame rate) and black level calibration (BLC)
sensor.__write_reg(0x0E, 0b00000000) # Disable night mode
sensor.__write_reg(0x3E, 0b00000000) # Disable BLC
sensor.__write_reg(0x13, 0b00000000) # disable automated gain
gain_db = sensor.get_gain_db()
exposure_us = sensor.get_exposure_us()
rgb_gain_db = sensor.get_rgb_gain_db()
print("gain_db is " + str(gain_db))
print("exposure is " + str(exposure_us))
print("rgb_gain_db is " + str(rgb_gain_db))
# Importe de librerias
import sensor, image, lcd, time, utime
import KPU as kpu
# Configuración inicial de la pantalla LCD y la camara OV2640
lcd.init() # Inicializa la pantalla
sensor.reset() # Inicializa la camara
sensor.set_pixformat(sensor.RGB565) # Define el formato de color de la imagen
sensor.set_framesize(
sensor.QVGA) # Establece la captura de imagen como QVGA (320x240)
sensor.set_windowing(
(224, 224)) # Establece el tamaño de imagen con el que se entreno la red
sensor.set_vflip(1) # Rotación vertical de la imagen
sensor.set_saturation(-3) # Saturacion
sensor.set_brightness(-3) # brightness
sensor.set_contrast(-3) # contrast
lcd.clear() # Limpia la pantalla y la deja en negro
# Descripción y carga del modelo
labels = ['Acaro', 'Bueno',
'Manchado'] # Etiquetas de la ultima capa de la red
task = kpu.load(
'/sd/3clases.kmodel') # Acá va al ubicación del archivo .kmodel (CARGA)
kpu.set_outputs(task, 0, 1, 1,
3) # Aqúi van las dimensiones de la ultima capa de la red
while (True):
tick1 = utime.ticks_ms()
# find_lines() finds infinite length lines. Use find_line_segments() to find non-infinite lines.
enable_lens_corr = False # turn on for straighter lines...
import sensor, image, time
import time
from pyb import UART
uart = UART(3, 19200)
sensor.reset()
sensor.set_pixformat(sensor.GRAYSCALE) # grayscale is faster
sensor.set_framesize(sensor.QQVGA)
sensor.set_contrast(+2)
sensor.set_brightness(+3)
sensor.set_auto_gain(True)
sensor.skip_frames(time=2000)
clock = time.clock()
min_degree = 0
max_degree = 179
while (True):
clock.tick()
img = sensor.snapshot()
line_img = sensor.get_fb()
cir_img = sensor.get_fb()
ir_led.off()
elif (cmd == b'ledi1'):
ir_led.on()
elif (cmd == b'wlede'):
watchdog_led = True
elif (cmd == b'wledd'):
watchdog_led = False
elif (cmd == b'ctrt+'):
contrast = max(contrast + 1, 3)
sensor.set_contrast(constrast)
elif (cmd == b'ctrt-'):
contrast = min(contrast - 1, -3)
sensor.set_contrast(constrast)
elif (cmd == b'brgt+'):
brightness = max(brightness + 1, 3)
sensor.set_brightness(brightness)
elif (cmd == b'brgt-'):
brightness = min(brightness - 1, -3)
sensor.set_brightness(brightness)
elif (cmd == b'satr+'):
saturation = max(saturation + 1, 3)
sensor.set_saturation(saturation)
elif (cmd == b'satr-'):
saturation = min(saturation - 1, -3)
sensor.set_saturation(saturation)
elif (cmd == b'width'):
usb.send(sensor.width())
elif (cmd == b'heigh'):
usb.send(sensor.height())
elif (cmd == b'q4vga'):
sensor.set_framesize(sensor.QQQQVGA) #40x30
import sensor
sensor.reset() # Reset and initialize the sensor.
sensor.set_pixformat(
sensor.RGB565) # Set pixel format to RGB565 (or GRAYSCALE)
sensor.set_framesize(sensor.QVGA) # Set frame size to QVGA (320x240)
sensor.skip_frames(time=2000) # Wait for settings take effect.
sensor.set_windowing(30, 30) #Sets the resolution of the camera to a
#sub resolution inside of the current resolution.
sensor.set_contrast(0) #Set the camera image contrast. -3 to +3.
sensor.set_brightness(0) #Set the camera image brightness. -3 to +3.
sensor.set_saturation(0) #Set the camera image saturation. -3 to +3.
sensor.set_auto_gain(
False) #You need to turn off white balance too if you want to
#track colors.
sensor.set_auto_whitebal(
False) #You need to turn off white balance too if you want to
#track colors.
sensor.set_lens_correction(
True) #radi integer radius of pixels to correct (int).
#coef power of correction (int).
while (True):
img = sensor.snapshot() # Take a picture and return the image.
import sensor, time
sensor.reset()
# Set sensor settings
sensor.set_brightness(0)
sensor.set_saturation(0)
sensor.set_gainceiling(8)
sensor.set_contrast(2)
# Set sensor pixel format
sensor.set_framesize(sensor.QVGA)
sensor.set_pixformat(sensor.RGB565)
# Enable colorbar test mode
sensor.set_colorbar(True)
# Skip a few frames to allow the sensor settle down
for i in range(0, 30):
image = sensor.snapshot()
#color bars thresholds
t = [lambda r, g, b: r < 50 and g < 50 and b < 50, # Black
lambda r, g, b: r < 50 and g < 50 and b > 200, # Blue
lambda r, g, b: r > 200 and g < 50 and b < 50, # Red
lambda r, g, b: r > 200 and g < 50 and b > 200, # Purple
lambda r, g, b: r < 50 and g > 200 and b < 50, # Green
lambda r, g, b: r < 50 and g > 200 and b > 200, # Aqua
lambda r, g, b: r > 200 and g > 200 and b < 50, # Yellow
lambda r, g, b: r > 200 and g > 200 and b > 200] # White
#320x240 image with 8 color bars each one is approx 40 pixels.
# bottleneck should be witouth any sticker...
user_exposure_time = 500 #camera exposure time, feel free to change. 900 is default value for tested setup
sensor.reset() # Initialize the camera sensor
sensor.set_pixformat(
sensor.GRAYSCALE
) # set camera format to grayscale (color not important in this example)
sensor.set_framesize(sensor.QVGA) # set camera resolution to QVGA 320 x 240
sensor.set_auto_whitebal(False) # Turn off white balance
sensor.set_auto_exposure(
False, exposure_us=user_exposure_time
) # set exposure time, user changable (user_exposure_time variable)
#these setting are manually set in order to prevent camera to change it during use (no automatic setting in machine vision!)
sensor.set_brightness(0) #set camera brightness
sensor.set_contrast(2) #set camera contrast
sensor.set_saturation(0) #set camera saturation
# Print out the initial gain for comparison.
print("Initial gain == %f db" % sensor.get_gain_db())
sensor.skip_frames(
time=2000) #small 2 seconds pause, so camera can update its settings
# calculating sensor gain
# user can change GAIN_SCALE factor in order to obtain more bright image
current_gain_in_decibels = sensor.get_gain_db() #current sensor gain
print("Current Gain == %f db" %
current_gain_in_decibels) #reporting current gain
sensor.set_auto_gain(False,
gain_db=current_gain_in_decibels * GAIN_SCALE) #new gain