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## M5StickV SH200Q maixpy
## Referred to the following
## https://github.com/m5stack/M5StickC/blob/master/src/utility/SH200Q.cpp
## https://github.com/m5stack/M5-Schematic/blob/master/Core/SH200Q.pdf
## https://bbs.sipeed.com/t/topic/863

from machine import I2C

i2c = I2C(I2C.I2C0, freq=100000, scl=28, sda=29)
devices = i2c.scan()

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## M5StickV MaixPy
## Referred to the following
## http://docs.openmv.io/library/omv.image.html#functions
    
import sensor,image,lcd,gc,time,uos
from fpioa_manager import *
from Maix import  GPIO

fm.register(board_info.BUTTON_A, fm.fpioa.GPIO1)
but_a=GPIO(GPIO.GPIO1, GPIO.IN, GPIO.PULL_UP)

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import time,cmath,math
from machine import Timer,PWM
from fpioa_manager import *


tim = Timer(Timer.TIMER0, Timer.CHANNEL0, mode=Timer.MODE_PWM)
ch = PWM(tim, freq=500000, duty=0, pin=board_info.LED_R)
cnt=0
while(True):
    duty=0

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#!/bin/bash
echo "Usage: ./convert.sh modelxxx.tflite"
name=`echo $1 | cut -d '.' -f 1`
tflite_out=$name.tflite
kmodel_out=$name.kmodel

#nncase
# https://github.com/kendryte/nncase
# wget https://github.com/kendryte/nncase/releases/download/v0.2.0-alpha1/ncc-linux-x86_64.tar.xz
ncc_exe=~/nncase/ncc

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import sensor, image, lcd, time
from fpioa_manager import *
from Maix import I2S, GPIO
lcd.init()
lcd.rotation(2)
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.run(1)
origin = (0,0,0, 0,1,0, 0,0,0)

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from keras.models import Sequential
from keras.layers import Activation, Dense, Dropout,Conv2D,MaxPooling2D,Flatten
from keras.utils.np_utils import to_categorical
from keras.optimizers import Adagrad
from keras.optimizers import Adam
import numpy as np
from PIL import Image
import os
from sklearn.model_selection import train_test_split

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from machine import I2C
i2c = I2C(I2C.I2C0, freq=100000, scl=28, sda=29)
devices = i2c.scan()
print(devices)


import sensor, image, time,lcd,machine
from machine import I2C
MPU6886_ADDRESS=0x68
MPU6886_WHOAMI=0x75

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from machine import I2C
i2c = I2C(I2C.I2C0, freq=100000, scl=28, sda=29)
devices = i2c.scan()
print(devices)

import lcd  #for test
AXP192_ADDR=0x34
Backlight_ADDR=0x91
level=50
val = (level+7) << 4

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from keras.models import Sequential
from keras.layers import Activation, Dense, Dropout,Conv2D,MaxPooling2D,Flatten,ZeroPadding2D
from keras.utils.np_utils import to_categorical
from keras.optimizers import Adagrad
from keras.optimizers import Adam
import numpy as np
from PIL import Image
import os
from sklearn.model_selection import train_test_split
import tensorflow as tf

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// Copyright (c) 2019 aNoken 
// https://anoken.jimdo.com/
// https://github.com/anoken/purin_wo_motto_mimamoru_gijutsu
// Arduino IDE compile code


#include <M5StickC.h>
int button_a = 0;
int button_b = 0;