coXXect

This exercise run on  Seeed Studio XIAO ESP32S3 Sense running CircuitPython 9.2.1, to display on  1.28" 240x240 GC9A01 Round IPS LCD . Also exercises to run Turtle graphics on CircuitPython. Libraries (or modules) gc9a01, adafruit_display_text and adafruit_turtle are needed. In old approach, you can download them from  CircuitPython Libraries and copy to CircuitPython device manually. In this video, the libraries were installed using another approach CircUp. To install CircUp, read my previous post " Install and using CircUp (CircuitPython library updater) to install CircuitPython libraries ". If you use old approach to download manually, notice that gc9a01.mpy is in Community Bundle (circuitpython-community-bundle-...), not Adafruit Circuit Bundle (adafruit-circuitpython-bundle-...). Connection: Exercise Code: cpy_XS3_gc9a01_color.py , simple demo exercise with color test. """ Color test on Seeed Studio XIAO ESP32S3...

CircUp (CircuitPython library updater) is a tool to manage and update libraries (modules) on a CircuitPython device. In old approach, we will download library bundle from CircuitPython Libraries , extract, and fine the libraries to upload to CircuitPython device manually. If any libraries updated, we have to do it again. With CircUp, it install and update libraries automatically.  This utility looks at all the libraries on the device and checks if they are the most recent (compared to the versions found in the most recent version of the Adafruit CircuitPython Bundle and Circuitpython Community Bundle). If the libraries are out of date, the utility helps you update them. It's suggested to install CircUp in virtualenv (Python virtual environment). This video show steps to create virtualenv in Windows 11, install CircUp in virtualenv, and install libraries on CircuitPython device using CircUp. Circup requires Python 3.5 or higher. To create a virtualenv for circup,...

Previous Raspberry Pi Pico 2W/CircuitPython 9 exercise display bmp in local filesystem on 1.54" IPS 240x240 with SPI ST7789 driver using displayio.OnDiskBitmap . This exercise using Pico 2 W wireless feature, download bmp via WiFi to local filesystem, then display on ST7789 LCD using OnDiskBitmap. We are going to setup a python http server on Windows 11, then Pico 2 W connect to the same WiFi network ("ssid" here) and request bmp from the http server. The simplest way to setup http server in Python is: python -m http.server Then you can reach the http server at http://[IP address]:8000/ Exercise code: cpy_pico2w_wifi_OnDiskBitmap.py """ Raspberry Pi Pico 2 W/CircuitPython 9 to display bmp on 1.54" 240x240 ST7789 SPI IPS Download bmp from wifi and display on LCD using OnDiskBitmap Connection: ----------- GND GND VCC 3V3 SCL GP18 SDA GP19 RES GP20 DC GP21 CS GP17 BLK GP22 CircuitPython Libraries Bundle for Version 9.x nee...

This code simple try to write a text file in CircuitPython file system and read back, tested on  Raspberry Pi Pico 2 W running CircuitPython 9.2.1. cpy_write_and_read_text_file.py """ CircuitPython exercise to write and read text file. Tested on Raspberry Pi Pico 2 W/CircuitPython 9.2.1 """ print("- To write hello.txt -") try: with open("/hello.txt", "w") as fp: fp.write("hello, world! from coXXect") except OSError as err: print(err) print("- To read hello.txt 0") try: with open("/hello.txt", "r") as fp: print(fp.readline()) except OSError as err: print(err) It will raise OSError of Read-only filesystem. Because by default in CircuitPython, filesystem is read-only for running code. cpy_check_vfs_readonly.py , check if the filesystem is readonly or not. """ CircuitPython code to check if Filesystem is Read Only or Writable....

Last post Raspberry Pi Pico 2/CircuitPython 9 exercise to display bmp on ST7789 LCD using adafruit_imageload/adafruit_slideshow , here is another method on CircuitPython to display bmp, using  displayio.OnDiskBitmap , tested on my new  Raspberry Pi Pico 2 W running CircuitPython 9.2.1. Connection, same as in last post . To prepare 240x240 bmp, read  Resize jpg and convert to bmp in RGB888 and RGB565 mode, using Python/GIMP Exercise Code: cpy_pico2w_OnDiskBitmap.py , display bmp using OnDiskBitmap() """ Raspberry Pi Pico 2/CircuitPython 9 to display on 1.54" 240x240 ST7789 SPI IPS Display bmp using OnDiskBitmap() Connection: ----------- GND GND VCC 3V3 SCL GP18 SDA GP19 RES GP20 DC GP21 CS GP17 BLK GP22 CircuitPython Libraries Bundle for Version 9.x needed: (https://circuitpython.org/libraries) - adafruit_st7789.mpy ref: displayio.OnDiskBitmap() - https://docs.circuitpython.org/en/latest/shared-bindings/displayio/index....

my dev. board: Raspberry Pi Pico 2 W Currently (24-11-30), there are no official firmware in micropython.org . You can download the preview version here . scroll down to download MicroPython UF2 for Pico 2 W (mp_firmware_unofficial_latest.uf2). As first test, I try to blink the onboard LED by following https://projects.raspberrypi.org/en/projects/getting-started-with-the-pico , but failed. Later, I found the reason: Refer to Raspberry Pi Pico 2 W Datasheet   and schematic , Pico 2 W (should be same as in Pico W) onboard LED is connected to CYW43439KUBG chip, not RP2350, so have to specially handled like this: led = machine.Pin("LED", machine.Pin.OUT) blink.py , MicroPython code to blink the onboard LED from machine import Pin, Timer led = machine.Pin("LED", machine.Pin.OUT) print("led:", led) timer = Timer() def blink(timer): led.toggle() timer.init(freq=2.5, mode=Timer.PERIODIC, callback=blink) while True: ...

Previous post show how  Raspberry Pi Pico 2/CircuitPython 9 display on 1.54" 240x240 ST7789 SPI IPS . This post show two exercises to display bmp using adafruit_imageload/adafruit_slideshow. adafruit_imageload  decodes an image file into new bitmap and palette objects of the provided type. It’s designed to load code needed during decoding as needed. This is meant to minimize the memory overhead of the decoding code. adafruit_slideshow  CircuitPython helper library for displaying a slideshow of images on a display. Connection: Keep using the same connection in previous exercise . Test images: All the test images shown in the above video were AI generated using "Image Creator in Bing", and resize and convert to 240x240 RGBB888/RGB565 bmp using Python/GIMP . Exercise Code: cpy_pico2_st7789_imageload.py, display bmp using adafruit_imageload """ Raspberry Pi Pico 2/CircuitPython 9 to display on 1.54" 240x240 ST7789 SPI...

CircuitPython 9.2.0 run on Raspberry Pi Pico 2  (tested work on Pico 2 W also) to display on 1.54" 240x240 ST7789 SPI IPS . Connection: Code: cpy_pico2_st7789.py , with color test and scrolling text. """ Raspberry Pi Pico 2/CircuitPython 9 to display on 1.54" 240x240 ST7789 SPI IPS Connection: ----------- GND GND VCC 3V3 SCL GP18 SDA GP19 RES GP20 DC GP21 CS GP17 BLK GP22 CircuitPython Libraries Bundle for Version 9.x needed: (https://circuitpython.org/libraries) - adafruit_st7789.mpy - adafruit_display_text folder """ import os, sys import microcontroller import board import busio import displayio import terminalio import adafruit_st7789 from adafruit_display_text import label import time disp_sck = board.GP18 disp_mosi = board.GP19 disp_res = board.GP20 disp_dc = board.GP21 disp_cs = board.GP17 disp_blk = board.GP22 # Release any resources currently in use for the displays displayio.releas...

Simple CircuitPython code run on  Raspberry Pi Pico 2 /CircuitPython 9 to get info and pin alias. cpy_pico2_info.py import os, sys import microcontroller import board print("====================================") print(sys.implementation[0], os.uname()[3], "\nrun on", os.uname()[4]) print("====================================") print() # List all the Available Names # ref: https://learn.adafruit.com/circuitpython-essentials/circuitpython-pins-and-modules#what-are-all-the-available-names-3082670 board_pins = [] for pin in dir(microcontroller.pin): if isinstance(getattr(microcontroller.pin, pin), microcontroller.Pin): pins = [] for alias in dir(board): if getattr(board, alias) is getattr(microcontroller.pin, pin): pins.append("board.{}".format(alias)) if len(pins) > 0: board_pins.append(" ".join(pins)) for pins in sorted(board_pins): print(pins) o...

Product Page: ~ LCD wiki - SKU: SKU: MSP4031

Previous exercise " Raspberry Pi Pico 2/MicroPython read bmp images and draw on ST7789 display pixel-by-pixel " is a slow approach. Because it draw in pixel-by-pixel, each involve a write sequency. But it help me understand bmp much more. Here is another approach, form a bytearray passing to st7789pt blit_buffer() method, such that the driver write the whole buffer in one sequency to improve the speed much more. For connection and installing st7789py_mpy on Raspberry Pi Pico 2/MicroPython, read: https://coxxect.blogspot.com/2024/10/raspberry-pi-pico-2micropython-display.html To prepare 240x240 RGB565/RGB888 bmp using Python or GIMP, read: https://coxxect.blogspot.com/2024/11/resize-jpg-and-convert-to-bmp-in-rgb888.html Exercise code: mpy_pico2_bmp_buffer.py """ Raspberry Pi Pico/MicroPython exercise to display on 1.54" IPS 240x240 with SPI ST7789 driver Read, decode bmp in /images/ directory, and disply on 240x240 SPI ST77...

This video show how to resize jpg and convert to bmp in RGB888 and RGB565 mode, in two approach: - Using Python code - Using GIMP Approach 1 using Python: Tested on Python 3.13.0 with cv2 4.10.0 (OpenCV) installed, run on Python virtual environment/Windows 11. To create Python virtual environment in Windows 11, and install libraries, read  https://coxxect.blogspot.com/2024/10/create-python-virtual-environment-in.html . py_cv_batch_resize_RGB888.py """ Python/cv2 to resize all jpg in 'images' folder, and save to 'resized_images_rgb888' folder in RGB888 mode. This code was generated by Copilot mainly. Run on Windows 11/Python 3.13.0 in virtualenvironment, with OpebCV/cv2 installed. To create Python virtual environment in Windows 11, and libraries include OpenCV/cv2, ref: https://coxxect.blogspot.com/2024/10/create-python-virtual-environment-in.html """ import os import cv2 TARGET_WIDTH = 240 TARGET_HEIGHT = 240 def...

Follow the former exercises of  Raspberry Pi Pico 2/MicroPython display on 1.54" 240x240 ST7789 SPI IPS and  Python code to read .bmp info from header (work on Desktop Python and MicroPython) , this exercise read bmp images, and draw on ST7789 display pixel-by-pixel. Exercise code: mpy_pico2_bmp.py """ Raspberry Pi Pico/MicroPython exercise to display on 1.54" IPS 240x240 with SPI ST7789 driver Pixel-by-Pixel Read, decode bmp in /images/ directory, and disply on 240x240 SPI ST7789 display. Target: - 240x240 RGB565 .bmp - 240x240 RGB888 .bmp ref: Using library: russhughes/st7789py_mpy https://github.com/russhughes/st7789py_mpy to install st7789py_mpy on Raspberry Pi Pico 2/MicroPython, https://coxxect.blogspot.com/2024/10/raspberry-pi-pico-2micropython-display.html to know more about bmp structure: https://coxxect.blogspot.com/2024/10/python-code-to-read-bmp-info-from.html to convert jpg to RGB565/RGB888 bmp using GIMP, read the...