Snowflake Collection
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Snowflake Collection
Lovebyte 2023
Mecrisp
Matthias Koch
m-atthias@users.sf.net
http://mecrisp.sourceforge.net/
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Winter season artwork, running in 128 bytes on a RISC-V microcontroller,
using two DAC channels for vector graphics on an analog oscilloscope.
Snowflake Collection is designed for GD32VF103 microcontrollers and
draws vector graphics on an analog oscilloscope in XY mode
connected to
GND and the two DAC channels on pins
PA4 (vertical) and
PA5 (horizontal).
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Design ideas:
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The snowflake shapes are generated with an old, but obscure "Mandala" algorithm:
Rotations of pixels by fractional angles in closed cycles on integer coordinates
sometimes result in long, interesting and artistic curves.
Proof-of-concept Mandala algorithm code for Gforth is included
for further exploration.
The same algorithm is also used to generate the sun
at the beginning of "Weather Forecast", Lovebyte 2022:
https://www.pouet.net/prod.php?which=90944
I am not aware of a way to calculate in advance which length cycles starting
from a specific point will have, or how to select start coordinates to get
cycles of a certain minimum length. Therefore, random start coordinates are
generated with a counter. When a sufficient long cycle is found, it is
displayed for a fixed amount of time.
Real snowflakes usually have a 6-fold symmetry,
but the 8-fold symmetry shapes generated look better in this demo :-)
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How to run:
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If you have connected your
Longan Nano board to
a USB-serial cable with 3.3V logic levels
3V3 or 5V -- VCC (measure the voltage present here)
R0 -- TXD
T0 -- RXD
GND -- GND
you can flash it if you first
* Press and hold BOOT0 button
* Press and release Reset button
* Release BOOT0 button
and then execute
stm32loader -e -w -v -p /dev/ttyUSB0 snowflake-collection.bin
on your host machine.
Press and release Reset button to start demo.
PS: There is also a version for Linux with qemu-user-static
that uses a mmap'ed 1920x1080x32bpp framebuffer through syscalls
so that you can at least try the effects of Snowflake Collection
on your desktop machine.
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Credits:
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* Mandala algorithm based on integer rotations:
https://web.archive.org/web/20061211143039/www.tiac.net/~sw/2005/03/Mandala/index.html
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