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@kkmonster
Last active November 26, 2020 10:35
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t watch : run classifier model
import sensor, image, lcd, time
import KPU as kpu
from fpioa_manager import *
from Maix import I2S, GPIO
from board import board_info
import audio
def play_wav(fname):
player = audio.Audio(path = fname)
player.volume(80)
wav_info = player.play_process(wav_dev)
wav_dev.channel_config(wav_dev.CHANNEL_1,
I2S.TRANSMITTER,resolution = I2S.RESOLUTION_16_BIT,
align_mode = I2S.STANDARD_MODE)
wav_dev.set_sample_rate(wav_info[1])
while True:
ret = player.play()
if ret == None:
break
elif ret == 0:
break
player.finish()
fm.register (board_info.I2S_DA, fm.fpioa.I2S0_OUT_D1)
fm.register (board_info.I2S_BCK, fm.fpioa.I2S0_SCLK)
fm.register (board_info.I2S_WS, fm.fpioa.I2S0_WS)
wav_dev = I2S(I2S.DEVICE_0)
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.set_windowing((0, 0, 224, 224))
sensor.set_vflip(1)
sensor.run(1)
lcd.init(freq=20000000, color=lcd.BLACK)
labels=['c1','c2','c3','c4'] #number of labels should match the number of labels the model was trained with
task = kpu.load(0x500000) #change to "/sd/name_of_the_model_file.kmodel" if loading from SD card
kpu.set_outputs(task, 0, 1, 1, 4) #the actual shape needs to match the last layer shape of your model
while(True):
#kpu.memtest()
img = sensor.snapshot()
#img = img.rotation_corr(z_rotation=90.0) uncomment if need rotation correction - only present in full maixpy firmware
a = img.pix_to_ai()
fmap = kpu.forward(task, img)
plist=fmap[:]
pmax=max(plist)
max_index=plist.index(pmax)
if pmax > 0.85 :
a = img.draw_string(0,0, str(labels[max_index].strip()), color=(255,0,0), scale=3)
a = img.draw_string(0,40, str(pmax), color=(255,0,0), scale=2)
print((pmax, labels[max_index].strip()))
a = lcd.display(img)
if pmax > 0.95 : #if pmax > 0.85 :
if max_index == 0:
play_wav("/flash/c1.wav")
if max_index == 1:
play_wav("/flash/c2.wav")
if max_index == 2:
play_wav("/flash/c3.wav")
if max_index == 3:
play_wav("/flash/c4.wav")
time.sleep_ms(20)
a = kpu.deinit(task)
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