Author Topic: ESP32 MicroPython (Read 6514 times)

John Spikowski · « **on:** March 14, 2021, 09:35:57 AM »

I was able to get MicroPython loaded on my ESP32-DEVKITC32D board. I'm using Putty on the RPi 3B to connect via /dev/ttyUSB0.

>>> help('modules') __main__ gc ubinascii urandom _boot inisetup ubluetooth ure _onewire machine ucollections urequests _thread math ucryptolib uselect _uasyncio micropython uctypes usocket _webrepl neopixel uerrno ussl apa106 network uhashlib ustruct btree ntptime uheapq usys builtins onewire uio utime cmath uarray ujson utimeq dht uasyncio/__init__ umqtt/robust uwebsocket ds18x20 uasyncio/core umqtt/simple uzlib esp uasyncio/event uos webrepl esp32 uasyncio/funcs upip webrepl_setup flashbdev uasyncio/lock upip_utarfile websocket_helper framebuf uasyncio/stream upysh Plus any modules on the filesystem >>> >>> machine.freq(240000000) >>> machine.freq() 240000000 >>>

John Spikowski · « **Reply #1 on:** March 15, 2021, 12:45:30 AM »

I was able to get my DS18B20 temperature sensor to work with the ESP32-DEVKITC32D board.

The interpretive method of programming sure beats having to compile an image and flash it to the controller with each experiment.

I'm going to flash my ESP32-PICO with MicroPython to free up my faster board for more demanding projects.

>>> paste mode; Ctrl-C to cancel, Ctrl-D to finish === import time, ds18x20 === from machine import Pin === import onewire === === ow = onewire.OneWire(Pin(12)) === ds = ds18x20.DS18X20(ow) === i = 1 === while i < 11: === roms = ds.scan() === ds.convert_temp() === for rom in roms: === print("Sensor " + str(rom) + ": " + str(ds.read_temp(rom))) === time.sleep_ms(2000) === i += 1 Sensor bytearray(b'(\xff&\xc2\x80\x17\x04\x93'): 22.375 Sensor bytearray(b'(\xff&\xc2\x80\x17\x04\x93'): 22.3125 Sensor bytearray(b'(\xff&\xc2\x80\x17\x04\x93'): 22.3125 Sensor bytearray(b'(\xff&\xc2\x80\x17\x04\x93'): 22.3125 Sensor bytearray(b'(\xff&\xc2\x80\x17\x04\x93'): 22.3125 Sensor bytearray(b'(\xff&\xc2\x80\x17\x04\x93'): 22.375 Sensor bytearray(b'(\xff&\xc2\x80\x17\x04\x93'): 22.375 Sensor bytearray(b'(\xff&\xc2\x80\x17\x04\x93'): 22.375 Sensor bytearray(b'(\xff&\xc2\x80\x17\x04\x93'): 22.375 Sensor bytearray(b'(\xff&\xc2\x80\x17\x04\x93'): 22.375 >>> print(rom) bytearray(b'(\xff&\xc2\x80\x17\x04\x93') >>> print(roms) [bytearray(b'(\xff&\xc2\x80\x17\x04\x93')] >>> print(ow) <OneWire object at 3ffe5360> >>> print(ds) <DS18X20 object at 3ffe5370> >>>

John Spikowski · « **Reply #2 on:** March 15, 2021, 09:28:47 PM »

I got MicroPython running on my ESP32-PICO board. The sensor blinks each time it's scanned.

Picture

pi@RPi3B:~/esp $ /home/pi/esp/esp-idf/components/esptool_py/esptool/esptool.py --port /dev/ttyUSB0 erase_flash esptool.py v3.1-dev Serial port /dev/ttyUSB0 Connecting........_ Detecting chip type... ESP32 Chip is ESP32-PICO-D4 (revision 1) Features: WiFi, BT, Dual Core, 240MHz, Embedded Flash, VRef calibration in efuse, Coding Scheme None Crystal is 40MHz MAC: d8:a0:1d:5f:c1:54 Uploading stub... Running stub... Stub running... Erasing flash (this may take a while)... Chip erase completed successfully in 5.1s Hard resetting via RTS pin... pi@RPi3B:~/esp $ pi@RPi3B:~/esp $ /home/pi/esp/esp-idf/components/esptool_py/esptool/esptool.py --chip esp32 --port /dev/ttyUSB0 --baud 460800 write_flash -z 0x1000 esp32-idf4-20210202-v1.14.bin esptool.py v3.1-dev Serial port /dev/ttyUSB0 Connecting.... Chip is ESP32-PICO-D4 (revision 1) Features: WiFi, BT, Dual Core, 240MHz, Embedded Flash, VRef calibration in efuse, Coding Scheme None Crystal is 40MHz MAC: d8:a0:1d:5f:c1:54 Uploading stub... Running stub... Stub running... Changing baud rate to 460800 Changed. Configuring flash size... Compressed 1484624 bytes to 951640... Wrote 1484624 bytes (951640 compressed) at 0x00001000 in 24.2 seconds (effective 491.4 kbit/s)... Hash of data verified. Leaving... Hard resetting via RTS pin... pi@RPi3B:~/esp $

John Spikowski · « **Reply #3 on:** March 16, 2021, 08:33:03 PM »

This is a ESP32-PICO MicroPython pystone_lowmem benchmark example. This also shows how to use upip to install additional libraries.

Code: Python

>>>
MPY: soft reboot
MicroPython v1.14 on 2021-02-02; ESP32 module with ESP32
Type "help()" for more information.
>>> import network
>>> sta_if = network.WLAN(network.STA_IF)
>>> sta_if.active()
False
>>> sta_if.active(True)
True
>>>
>>> sta_if.scan()
[(b'jrs', b'\xd8\x07\xb6\xf8\xb1\x97', 10, -31, 4, False), (b'BillingsHouse', b'D\x1c\x12\xd8\x99\x96', 1, -64, 3, False), (b'Nika', b'\xec\xaa\xa02\xb0h', 6, -79, 3, False), (b'chicken shit', b'\xd4\xab\x82\xc7\x8d\x92', 1, -84, 3, False), (b'AOL', b'\xbc\x9bh\xa6\x0f\x18', 11, -84, 3, False), (b'2018NEW3beginsYIP!', b'\xd4\xab\x82\xc3\x15\xea', 11, -84, 3, False), (b'My Bell', b'\x80>H\xb7o\xc5', 11, -86, 4, False), (b'Anahouse', b'\x84\x00-\x03\xc1\x98', 11, -89, 3, False), (b'Guapo', b'\xac\xdbHB\xa9\x86', 11, -89, 3, False), (b'IslandHouse', b'P\xd4\xf7\x02b\x89', 2, -90, 3, False), (b'password', b'<z\x8a9\xce`', 1, -91, 3, False), (b'BK WiFi', b'\\\xe3\x0e\xbc\x13\xb5', 6, -91, 3, False), (b'UmbrellaCorp', b'\x84\xd8\x1bfu\xce', 1, -95, 3, False)]
>>> sta_if.connect('jrs', 'MY_PASSWORD')
>>> sta_if.isconnected()
True
>>> import upip
>>> upip.install("micropython-pystone_lowmem")
Installing to: /lib/
Warning: micropython.org SSL certificate is not validated
Installing micropython-pystone_lowmem 3.4.2.post4 from https://micropython.org/pi/pystone_lowmem/pystone_lowmem-3.4.2.post4.tar.gz
>>> import pystone_lowmem
>>>
>>> pystone_lowmem.main()
Pystone(1.2) time for 500 passes = 536ms
This machine benchmarks at 932 pystones/second
>>>
 

This is the same benchmark but using my ESP32-DEVKITC32D board and increasing the processor frequency rate.

Code: Python

>>>
MPY: soft reboot
MicroPython v1.14 on 2021-02-02; ESP32 module with ESP32
Type "help()" for more information.
>>> import network
>>> sta_if = network.WLAN(network.STA_IF)
>>> sta_if.active()
False
>>> sta_if.active(True)
True
>>> sta_if.connect('jrs', 'MY_PASSWORD')
>>> sta_if.isconnected()
True
>>> import upip
>>> upip.install("micropython-pystone_lowmem")
Installing to: /lib/
Warning: micropython.org SSL certificate is not validated
Installing micropython-pystone_lowmem 3.4.2.post4 from https://micropython.org/pi/pystone_lowmem/pystone_lowmem-3.4.2.post4.tar.gz
>>> import pystone_lowmem
>>> pystone_lowmem.main()
Pystone(1.2) time for 500 passes = 537ms
This machine benchmarks at 931 pystones/second
>>> import machine
>>> machine.freq(240000000)
>>> pystone_lowmem.main()
Pystone(1.2) time for 500 passes = 432ms
This machine benchmarks at 1157 pystones/second
>>>
 

I retried the ESP32-PICO (not related to RPi Pico) and increased the frequency to 240000000 it ran faster than my ESP32-DEVKITC32D board.

>>> pystone_lowmem.main() Pystone(1.2) time for 500 passes = 428ms This machine benchmarks at 1168 pystones/second >>>

I need to do a side-by-side comparison to see what makes them different.

I found a post that shows the RPI Pico pystone_lowmem results.

>>> exec(open('Pi_Pico_Pystone_lowmem.py').read()) Pystone(1.2) time for 500 passes = 460ms This machine benchmarks at 1086 pystones/second >>>

John Spikowski · « **Reply #4 on:** March 17, 2021, 12:11:11 AM »

ESP32-PICO-D4

Detailed Spec.

ESP32 contains two low-power Xtensa 32-bit LX6 microprocessors. (240 MHz) The internal memory includes:

* 448 KB of ROM for booting and core functions.
* 520 KB of on-chip SRAM for data and instructions.
* 8 KB of SRAM in RTC, which is called RTC FAST Memory and can be used for data storage; it is accessedby the main CPU during RTC Boot from the Deep-sleep mode.
* 8 KB of SRAM in RTC, which is called RTC SLOW Memory and can be accessed by the co-processorduring the Deep-sleep mode.
* 1 Kbit of eFuse: 256 bits are used for the system (MAC address and chip configuration) and the remaining768 bits are reserved for customer applications, including flash-encryption and chip-ID
* 4 MB Flash
* Wi-Fi and Bluetooth
$10

ESP32-DEVKITC32D

Detailed Spec.

ESP32-D0WD contains a dual-core Xtensa 32-bit LX6 MCU microprocessor. (240 MHz) The internal memory includes:

* 448 KB of ROM for booting and core functions.
* 520 KB of on-chip SRAM for data and instructions.
* 8 KB of SRAM in RTC, which is called RTC FAST Memory and can be used for data storage; it is accessedby the main CPU during RTC Boot from the Deep-sleep mode.
* 8 KB of SRAM in RTC, which is called RTC SLOW Memory and can be accessed by the co-processorduring the Deep-sleep mode.
* 1 Kbit of eFuse: 256 bits are used for the system (MAC address and chip configuration) and the remaining768 bits are reserved for customer applications, including flash-encryption and chip-ID.
* 4 MB Flash
* Wi-Fi and Bluetooth
$10

Raspberry Pi Pico

* Dual-core Arm Cortex-M0+ processor, flexible clock running up to 133 MHz
* 264KB on-chip SRAM
* 2MB on-board QSPI Flash
$4

John Spikowski · « **Reply #5 on:** March 18, 2021, 05:31:02 AM »

I have spent hours trying to get my DHT11 and DHT22 working on Micropython using the DHT library. The measure() call returns a ETIMEOUT with every attempt.

Has anyone gotten this to work?

You don't need to join the forum to respond. Send an e-mail to support@raspberrybasic.org with suggestions would be appreciated.

John Spikowski · « **Reply #6 on:** March 18, 2021, 07:26:12 PM »

I tried to install the ESP-IDF tools on my RPi 4B running Ubuntu 64 bit.

This sucks!

jrs@RPi-Dev:~/esp/esp-idf$ ./install.sh Detecting the Python interpreter Checking "python" ... /home/jrs/esp/esp-idf/tools/detect_python.sh: line 16: python: command not found Checking "python3" ... Python 3.8.6 "python3" has been detected Installing ESP-IDF tools Installing tools: xtensa-esp32-elf, xtensa-esp32s2-elf, xtensa-esp32s3-elf, riscv32-esp-elf, esp32ulp-elf, esp32s2ulp-elf, openocd-esp32 ERROR: tool xtensa-esp32-elf does not have versions compatible with platform linux-arm64 jrs@RPi-Dev:~/esp/esp-idf$

On a positive note I was able to install the ESP32 development tools on my 4 GB / 2 core @ 2.13 ghz AMD old laptop. It's running Ubuntu 20.04 64 bit OS. Runs a lot faster than my RPi 3B.

John Spikowski · « **Reply #7 on:** March 21, 2021, 12:49:05 AM »

I was able to get my NeoPixel stick working under MicroPython on my ESP32-PICO-D4 controller.

The picture doesn't do the color presentation any justice. Looks great live.

I can see this being used to create outdoor billboards. A string of NeoPixels to decorate a Christmas tree is another idea.

Code: Python

import machine, neopixel
n = 8
p = 5
np = neopixel.NeoPixel(machine.Pin(p), n)
np[0] = (255, 0, 0)
np[1] = (0, 255, 0)
np[2] = (0, 0, 255)
np[3] = (128, 0, 0)
np[4] = (0, 128, 0)
np[5] = (0, 0, 128)
np[6] = (125, 204, 223)
np[7] = (255, 0, 153)
np.write()
 

This example I converted from CircuitPython displays a rainbow effect.

NeoPixel Rainbow video clip. I hide the stick to cut down on the glare.

Code: Python

# MicroPython demo - NeoPixel
import time
 
import machine
import neopixel
 
pixel_pin = machine.Pin(5)
num_pixels = 8
 
pixels = neopixel.NeoPixel(pixel_pin, num_pixels)
 
 
def wheel(pos):
    # Input a value 0 to 255 to get a color value.
    # The colours are a transition r - g - b - back to r.
    if pos < 0 or pos > 255:
        return (0, 0, 0)
    if pos < 85:
        return (255 - pos * 3, pos * 3, 0)
    if pos < 170:
        pos -= 85
        return (0, 255 - pos * 3, pos * 3)
    pos -= 170
    return (pos * 3, 0, 255 - pos * 3)
 
 
def rainbow_cycle(wait):
    for j in range(255):
        for i in range(num_pixels):
            rc_index = (i * 256 // num_pixels) + j
            pixels[i] = wheel(rc_index & 255)
        pixels.write()
        time.sleep(wait)
 
 
while True:
    rainbow_cycle(0)  # Increase the number to slow down the rainbow
 

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Author Topic: ESP32 MicroPython (Read 6514 times)

John Spikowski

ESP32 MicroPython

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