value = min(max(input_min, value), input_max)
value_deal = (value - input_min) * (aims_max - aims_min) / (
input_max - input_min) + aims_min
return round(value_deal, 2)
# ------------------ M5Stack -------------------
# Node ID
node_id = ubinascii.hexlify(machine.unique_id()).decode('utf-8')
print('\nDevice ID:' + node_id)
print('LCD initializing...', end='')
# pin Analog and digital
# LCD
lcd = lcd.TFT()
lcd.init(lcd.M5STACK,
width=240,
height=320,
speed=40000000,
rst_pin=33,
miso=19,
mosi=23,
clk=18,
cs=14,
dc=27,
bgr=True,
invrot=3,
expwm=machine.PWM(32, duty=0, timer=1))
lcd.setBrightness(30)
lcd.clear()
"""
Demo program demonstrating the capabities of the MicroPython display module
Author: LoBo (https://github/loboris)
Date: 08/10/2017
"""
import machine, display, time, math
tft = display.TFT()
#ESP32-WROVER-KIT v3:
#tft.init(tft.ST7789, rst_pin=18, backl_pin=5, miso=25, mosi=23, clk=19, cs=22, dc=21)
#Adafruit:
tft.init(tft.ILI9341, width=240, height=320, miso=19, mosi=18, clk=5, cs=15, dc=33, bgr=True, hastouch=tft.TOUCH_STMPE, tcs=32)
#Set correct configuration
#tft.init(tft.ILI9341, width=240, height=320, miso=19,mosi=23,clk=18,cs=5,dc=26,tcs=27,hastouch=True, bgr=True)
#tft.init(tft.ST7735R, speed=10000000, spihost=tft.HSPI, mosi=13, miso=12, clk=14, cs=15, dc=27, rst_pin=26, hastouch=False, bgr=False, width=128, height=160)
def testt():
while True:
lastx = 0
lasty = 0
t,x,y = tft.gettouch()
if t:
dx = abs(x-lastx)
dy = abs(y-lasty)
if (dx > 2) and (dy > 2):
def __init__(self):
# True = SPI display, False = I2C display
self.ESP32 = True
self.useSPI = True
self.displayTimer = ticks_ms()
self.vol = int(self.max_vol)
seed(ticks_us())
self.btnU = 1 << 1
self.btnL = 1 << 2
self.btnR = 1 << 3
self.btnD = 1 << 4
self.btnA = 1 << 5
self.btnB = 1 << 6
self.btnMenu = 1 << 7
self.btnVol = 1 << 8
self.btnSel = 1 << 9
self.btnSt = 1 << 10
self.btnUval = 0
self.btnDval = 0
self.btnLval = 0
self.btnRval = 0
self.btnAval = 0
self.btnBval = 0
self.btnMenuval = 0
self.btnVolval = 0
self.btnSelval = 0
self.btnStval = 0
self.frameRate = 30
self.maxBgm = 1
self.bgm = 1
self.songIndex = 0
self.songStart = -1
self.songEnd = -2
self.songLoop = -3
self.silence = 0
self.songSpeed = 1
self.timeunit = 1
self.notes = False
self.songBuf = []
self.Btns = 0
self.lastBtns = 0
self.dac_pin = Pin(25, Pin.OUT, value=1) # switch speaker on
self.PinBuzzer = Pin(26, Pin.OUT)
self.beeper = PWM(self.PinBuzzer, 500, duty=0)
self.beeper2 = PWM(self.PinBuzzer, 500, duty=0)
self.timerInitialized = False
self.tft = display.TFT()
self.tft.init(self.tft.ILI9341,
width=240,
height=320,
speed=40000000,
backl_pin=14,
backl_on=1,
miso=19,
mosi=23,
clk=18,
cs=5,
dc=21,
hastouch=False)
self.tft.clear(self.tft.BLACK)
self.tft.orient(self.tft.LANDSCAPE_FLIP)
self.screenW, self.screenH = self.tft.screensize()
''' fonts available in ili9341
tft.FONT_Small, 8x12
tft.FONT_Default, 13x13
tft.FONT_7seg, 18x31
tft.FONT_Ubuntu, 15x16
tft.FONT_Comic, 25x28
tft.FONT_Tooney, 32x37
tft.FONT_Minya, 20x24
'''
self.tft.font(self.tft.FONT_Ubuntu, rotate=0)
self.PinBtnA = Pin(BUTTON_A_PIN, Pin.IN, Pin.PULL_UP)
self.PinBtnB = Pin(BUTTON_B_PIN, Pin.IN, Pin.PULL_UP)
self.PinBtnMenu = Pin(BUTTON_MENU_PIN, Pin.IN, Pin.PULL_UP)
self.PinBtnVol = Pin(BUTTON_VOLUME_PIN, Pin.IN, Pin.PULL_UP)
self.PinBtnSel = Pin(BUTTON_SELECT_PIN, Pin.IN, Pin.PULL_UP)
self.PinBtnSt = Pin(BUTTON_START_PIN, Pin.IN)
self.adcX = ADC(BUTTON_JOY_X_PIN)
self.adcY = ADC(BUTTON_JOY_Y_PIN)
#self.adc = ADC(PADDLE_PIN)
self.adcX.atten(ADC.ATTN_11DB)
self.adcY.atten(ADC.ATTN_11DB)
def main():
# 创建lcd display对象
global disp
disp = display.TFT()
disp.font(disp.FONT_Default)
# 连接网络
connect_wifi(SSID, PWD)
# 初始化摄像头, UART Rx PIN=33, TX PIN=32，M5STACK-CORE2上对应PORTA
ucamera.init('uart', 33, 32)
# 创建AI对象
ai = uai.AI(uai.AI_ENGINE_ALIYUN, ACCESS_KEY, ACCESS_SECRET)
while True:
# 抓取一帧图像
frame = ucamera.capture()
if (frame != None):
# 显示图像
disp.image(0, 0, frame, 0)
# 设置显示字体
disp.font(disp.FONT_DejaVu18)
# 显示文字
disp.text(10, 30, 'Recognizing face...', disp.WHITE)
# 上传图片到OSS
image = oss.uploadContent(ACCESS_KEY, ACCESS_SECRET, OSS_ENDPOINT,
OSS_BUCKET, frame, "oss/test.jpg")
print('content: %s' % image)
if image != None:
# 抓取一帧图像
frame = ucamera.capture()
# 显示图像
disp.image(0, 0, frame, 0)
# 显示文字
disp.text(10, 30, 'Detecting Pedestrian...', disp.WHITE)
# 人体检测
resp = ai.detectPedestrian(image)
print(resp)
if (resp != None):
i = 0
# 解析识别结果
while (i < len(resp)):
type = resp[i]['type']
score = resp[i]['score']
x = resp[i]['x']
y = resp[i]['y']
w = resp[i]['w']
h = resp[i]['h']
# 当得分 > 0.6，表示识别成功
if score > 0.6:
# 清除屏幕内容
disp.clear()
# 设置文字字体
disp.font(disp.FONT_DejaVu40)
# 显示识别结果
disp.text(30, 90, 'Pedestrian', disp.RED)
disp.text(30, 130, 'Detected!!!', disp.RED)
print('Pedestrian Detected!!!')
utime.sleep(2)
i += 1
# 释放当前帧内容
del frame
def __init__(self,
solar_topic,
grid_topic,
mqtt_broker,
wifi_credentials,
graph_interval_s=60,
update_interval_ms=1000):
self._solar_topic = solar_topic
self._grid_topic = grid_topic
self._mqtt_broker = mqtt_broker
self._wifi_credentials = wifi_credentials
self._graph_interval = graph_interval_s
self._update_interval = update_interval_ms
self._graph_window = Monitor._shorten(self._graph_interval * 320)
self._tft = None
self._wlan = None
self._mqtt = None
self._battery = IP5306(I2C(scl=Pin(22), sda=Pin(21)))
self._timer = Timer(0)
self._rtc = RTC()
self._button_a = ButtonA(callback=self._button_a_pressed)
self._button_c = ButtonC(callback=self._button_c_pressed)
self._solar = None
self._usage = None
self._grid = None
self._importing = None
self._prev_importing = None
self._solar_avg_buffer = []
self._grid_avg_buffer = []
self._usage_buffer = []
self._solar_buffer = []
self._last_update = (0, 0, 0, 0, 0, 0)
self._data_counter = 0
self._buffer_updated = False
self._realtime_updated = False
self._last_value_added = None
self._menu_horizontal_pointer = 0
self._blank_menu = False
self._log('Initializing TFT...')
self._tft = display.TFT()
self._tft.init(self._tft.M5STACK,
width=240,
height=320,
rst_pin=33,
backl_pin=32,
miso=19,
mosi=23,
clk=18,
cs=14,
dc=27,
bgr=True,
backl_on=1)
self._tft.tft_writecmd(0x21) # Invert colors
self._tft.clear()
self._tft.font(self._tft.FONT_Default)
self._tft.text(0, 0, 'USAGE', self._tft.DARKGREY)
self._tft.text(self._tft.CENTER, 0, 'IMPORTING', self._tft.DARKGREY)
self._tft.text(self._tft.RIGHT, 0, 'SOLAR', self._tft.DARKGREY)
self._tft.text(0, 14, 'Loading...', self._tft.DARKGREY)
self._log('Initializing TFT... Done')
def main():
# 创建lcd display对象
global disp
disp = display.TFT()
disp.font(disp.FONT_Default)
# 连接网络
connect_wifi(SSID, PWD)
# 初始化摄像头, UART Rx PIN=33, TX PIN=32，M5STACK-CORE2上对应PORTA
ucamera.init('uart', 33, 32)
# 创建AI对象
ai = uai.AI(uai.AI_ENGINE_ALIYUN, ACCESS_KEY, ACCESS_SECRET)
while True:
# 抓取一帧图像
frame = ucamera.capture()
if (frame != None):
# 显示图像
disp.image(0, 0, frame, 0)
# 设置显示字体
disp.font(disp.FONT_DejaVu18)
# 显示文字
disp.text(10, 30, 'Recognizing face...', disp.WHITE)
# 上传图片到OSS
image = oss.uploadContent(ACCESS_KEY, ACCESS_SECRET, OSS_ENDPOINT,
OSS_BUCKET, frame, "oss/test.jpg")
print('content: %s' % image)
#image = 'http://viapi-test.oss-cn-shanghai.aliyuncs.com/viapi-3.0domepic/imagerecog/DetectFruits/DetectFruits1.jpg'
if image != None:
frame = ucamera.capture()
disp.image(0, 0, frame, 0)
disp.text(10, 30, 'Detecting Fruits...', disp.WHITE)
# 水果识别
resp = ai.detectFruits(image)
print(resp)
if (resp != None):
i = 0
# 解析识别结果
while (i < len(resp)):
name = resp[i]['name']
score = resp[i]['score']
x = resp[i]['x']
y = resp[i]['y']
w = resp[i]['w']
h = resp[i]['h']
# 当得分 > 0.6，表示识别成功
if score > 0.6:
name = translateName(name)
# 清除屏幕内容
disp.clear()
# 设置文字字体
disp.font(disp.FONT_DejaVu40)
# 显示识别结果
disp.text(40, 80, name, disp.RED)
disp.text(40, 120, 'Deteted!!!', disp.RED)
utime.sleep(2)
i += 1
# 释放当前帧内存
del frame
import sys
from collections import OrderedDict
import display
import machine
import network
from machine import Pin
from micropython import const
from utime import sleep_ms
machine.freq(240000000)
TFT = display.TFT()
# 320 * 240, but in reality x goes from 40 to 279 and y goes from 53 to 187 -> 239 * 134 --> 1.78 ratio instead of 1.33
# --> 240 * 135
TFT.init(
TFT.ST7789,
rot=TFT.LANDSCAPE_FLIP,
miso=17,
backl_pin=4,
backl_on=1,
mosi=19,
clk=18,
cs=5,
dc=16,
splash=False,
)
TFT.tft_writecmd(0x21)
TFT.setwin(39, 52, 279, 187) # 240 * 135
TFT.savewin()
WINDOW_SIZE = TFT.winsize()
def main():
# 创建lcd display对象
global disp
disp = display.TFT()
disp.font(disp.FONT_Default)
# 连接网络
connect_wifi(SSID, PWD)
# 初始化摄像头, UART Rx PIN=33, TX PIN=32，M5STACK-CORE2上对应PORTA
ucamera.init('uart', 33, 32)
# 创建AI对象
ai = uai.AI(uai.AI_ENGINE_ALIYUN, ACCESS_KEY, ACCESS_SECRET)
while True:
# 抓取一帧图像
frame = ucamera.capture()
if (frame != None):
# 显示图像
disp.image(0, 0, frame, 0)
# 设置显示字体
disp.font(disp.FONT_DejaVu18)
# 显示文字
disp.text(10, 30, 'Recognizing face...', disp.WHITE)
# 上传图片到OSS
image = oss.uploadContent(ACCESS_KEY, ACCESS_SECRET, OSS_ENDPOINT, OSS_BUCKET, frame, "oss/test.jpg")
print('content: %s' %image)
#image = 'http://viapi-test.oss-cn-shanghai.aliyuncs.com/viapi-3.0domepic/imagerecog/DetectFruits/DetectFruits1.jpg'
if image != None:
frame = ucamera.capture()
disp.image(0, 0, frame, 0)
disp.text(0, 30, 'Recognizing License Plate...', disp.WHITE)
# 车牌识别
resp = ai.recognizeLicensePlate(image)
print(resp)
if (resp != None):
i = 0
# 解析识别结果
while (i < len(resp)):
plateNumber = resp[i]['plateNumber']
plateType = resp[i]['plateType']
confidence = resp[i]['confidence']
plateTypeConfidence = resp[i]['plateTypeConfidence']
x = resp[i]['x']
y = resp[i]['y']
w = resp[i]['w']
h = resp[i]['h']
# 当置信度 > 0.6，表示识别成功
if confidence > 0.6:
# 清除屏幕内容
disp.clear()
# 设置文字字体
disp.font(disp.FONT_DejaVu40)
# 显示识别的车牌号
disp.text(25, 90, plateNumber, disp.RED)
disp.text(25, 130, 'Deteted!!!', disp.RED)
utime.sleep(2)
else:
print('Recognizing license plate...')
i += 1
else:
print('Recognizing license plate...')
# 释放当前帧内存
del frame
def main():
# If you want to turn off the display,
# simply run the tft.init again with backl_on=0
tft = display.TFT()
tft.init(
tft.ST7789,
bgr=False,
rot=tft.LANDSCAPE,
miso=17,
backl_pin=4,
backl_on=1,
mosi=19,
clk=18,
cs=5,
dc=16,
)
# corrections des erreurs de loboris micropython
tft.tft_writecmd(0x21) # correct the colors
tft.setwin(40, 52, 279,
186) # adjust the size of the windows for the display 135x240
# get the real size of the tft
tft_width, tft_height = tft.winsize()
# draw a rectangle
margin = 0
tft.rect(margin, margin, tft_width - margin, tft_height - margin, tft.RED)
txt = "ESP32 with Micropython!\n"
tft.text(
int(tft_width / 2) - int(tft.textWidth(txt) / 2),
int(tft_height / 4) - int(tft.fontSize()[1] / 2),
txt,
0xFFFFFF,
)
time.sleep(3)
tft.clear()
tft.font(tft.FONT_Comic)
txt_height = int(tft.fontSize()[1])
top_pos = int(txt_height / 2)
# displax text for sensors
temp = get_temp_lobo()
nbre_sensors = str(len(temp))
# read the temperatures
k = 0
while True:
tft.clear()
txt = nbre_sensors + ' ds18b20 actif(s)'
tft.text(0, top_pos + txt_height * 0 - int(tft.fontSize()[1] / 2), txt,
0xFFFFFF)
txt = 'passe : ' + str(k)
tft.text(0, top_pos + txt_height * 1 - int(tft.fontSize()[1] / 2), txt,
0xFFFFFF)
k += 1
temp = get_temp_lobo()
for i, t in enumerate(temp):
sensor_id = t[0][:5] + '..' + t[0][-4:] + ' ='
sensor_val = t[1]
txt = sensor_id + ' ' + sensor_val
tft.text(
0, top_pos + txt_height * (i + 2) - int(tft.fontSize()[1] / 2),
txt, 0xFFFFFF)
print(txt)
print()
time.sleep(60)
