vany5921
Published © MIT

UnitV with M5Stack Deep Learning and Object Detection

Thank the original author @Canghai

IntermediateFull instructions provided2 hours3
UnitV with M5Stack Deep Learning and Object Detection

Things used in this project

Hardware components

M5Stack Unit-V
×1
ESP32 Basic Core IoT Development Kit
M5Stack ESP32 Basic Core IoT Development Kit
×1

Software apps and online services

Maixpy
M5Stack UIFlow

Story

Read more

Code

core

Python
from m5stack import *
from m5ui import *
from uiflow import *
import json


setScreenColor(0x222222)



#rectangle0 = M5Rect(40, 5, 200, 170, 0xFFFFFF, 0xFFFFFF)
label1 = M5TextBox(39, 10, "Text", lcd.FONT_Default,0xFFFFFF, rotate=0)
label2 = M5TextBox(231, 12, "Text", lcd.FONT_Default,0xFFFFFF, rotate=0)
circle0 = M5Circle(81, 144, 10, 0xfdd708, 0xFFFFFF)

uart = None
dict2 = None
data1 = None
atom_x = None
atom_y = None



uart = machine.UART(1, tx=17, rx=16)
uart.init(115200, bits=8, parity=None, stop=1)
while True:
    
  if uart.any():
      dict2 = uart.readline()
      data1 = json.loads(dict2)
      atom_x=data1['ball_x']
      atom_y=data1['ball_y']
      label1.setText(str(atom_x))
      label2.setText(str(atom_y))
      circle0.setPosition((320-atom_x), (atom_y+20))

unitV

Python
#======2020-03-08 unitvuart
import image
#import lcd
import sensor
import sys
import time
import KPU as kpu
from fpioa_manager import *
import math
import KPU as kpu
from Maix import GPIO
import utime

#===========uart init
fm.register(34,fm.fpioa.UART1_TX)
fm.register(35,fm.fpioa.UART1_RX)
uart_out = UART(UART.UART1, 115200, 8, None, 1, timeout=1000, read_buf_len=4096)

#
task=kpu.load(0x00300000)
#1
labels=["1"] #You can check the numbers here to real names.
anchor = (0.33340788 * 16, 0.70065861 * 16, 0.18124964 * 16,0.38986752 * 16, 0.08497349 * 16,0.1527057 * 16)
a = kpu.init_yolo2(task, 0.7, 0.5, 3, anchor)
#
#v-train0.2,0.05
#

print("Load Done.")
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.set_windowing((320, 224))
sensor.run(1)

print("Init Done.")

counter = 1 #
code_stake = [] #

ball_x = 0 #ballx
ball_y = 0 #bally

while(True):
    img = sensor.snapshot()
    code = kpu.run_yolo2(task, img)

    if code:
        if counter < 3: #3code_stake[]
            code_stake = code_stake + code
            counter = counter  + 1
        else:
            counter = 0
            ball_x = 0
            ball_y = 0
            #i.rect()[0]   i.rect()[1]    i.rect()[2]    i.rect()[3]   x,y,w,h
            for i in code_stake:
                ball_x=i.x()
                #ball_x=i.rect()[0]
                ball_y=i.y()
                #ball_y=i.rect()[1]


        if counter == 0: #3
            #uart
            #==== send json str for ball_x and ball_y   round()
            #s_json="{\"ball_x\":\""+str(round(ball_x))+"\",\"ball_y\":\""+str(round(ball_y))+"\"}"
            s_json="{\"ball_x\":"+str(round(ball_x))+",\"ball_y\":"+str(round(ball_y))+"}"
            uart_out.write(s_json+"\r\n")
            print(s_json)
            code_stake = [] #
            utime.sleep_ms(50)
        for i in code: #
            img.draw_rectangle(i.rect())

    else:
        #lcd.display(img)
        pass
a = kpu.deinit(task)

Credits

CangHai

Posted by vany5921

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