* Increase colorspace conversion efficiency.
This not only avoids a function call, it avoids the time-consuming
switch statement in conver_pixel (replacing it with a single
conditional on the byteswap flag + accounting for BGR/RGB during
palette creation)
* Buffer all the bytes of a single frame together. By reducing
low level write calls we get a decent speed increase even though
it increases data-shuffling a bit.
Together with some other changes that enable "double buffered" camera
capture, this gets me to 8.8fps capturing QVGA (320x240) gifs and
11fps capturing 240x240 square gifs.
This involves:
* Adding a new "L8" colorspace for colorconverters
* factoring out displayio_colorconverter_convert_pixel
* Making a minimal "colorspace only" version of displayio for the
unix port (testing purposes)
* fixing an error message
I only tested writing B&W animated images, with the following script:
```python
import displayio
import gifio
with gifio.GifWriter("foo.gif", 64, 64, displayio.Colorspace.L8) as g:
for i in range(0, 256, 14):
data = bytes([i, 255-i] * 32 + [255-i, i] * 32) * 32
print("add_frame")
g.add_frame(data)
# expected to raise an error, buffer is not big enough
with gifio.GifWriter("/dev/null", 64, 64, displayio.Colorspace.L8) as g:
g.add_frame(bytes([3,3,3]))
```
We're using the MicroPython fork of NimBLE, which on the
`micropython_1_4_0` branch re-adds support for 64-bit targets and fixes
initialisation of g_msys_pool_list.
Also updates modbluetooth_nimble.c to suit v1.4.
Signed-off-by: Jim Mussared <jim.mussared@gmail.com>
This increases write rates (of gifio from #5490) from about 2.4fps to over
5fps by making more efficient use of the SD card protocol.
Because of details of oofatfs, it usually manages 64 writes in a single
CMD25, then two writes in a different area of the SD card (presumably,
filesystem metadata). I couldn't find where to increase "64" to a higher
number. This may depend on the allocation size of the filesystem.
I tried preallocating too, but oddly it significantly lowered the write
rate.
Any trailing data is committed when the file is close()d, or when
the `sync` method of the SDCard object is called.
There is no release of IDF v4.4 yet but master is now on v5.0-dev so a
specific commit must be chosen to stick to v4.4.
Signed-off-by: Damien George <damien@micropython.org>
By moving code to ITCM, like vm, gc, parse, runtime. The change affects
mostly the execution speed of MicroPython code. The speed is increased by
up to a factor of 6, especially for MCU with small cache.
Prior to this commit mp_hal_ticks_cpu() was not started properly. It only
started when the code was executed with a debugger attached, except for the
Teensy (i.MXRT1062) boards. As an additional fix, the CYYCNT timer is now
started at boot time.
Also rename mp_hal_ticks_cpu_init() to mp_hal_ticks_cpu_enable().
The API follows that of rp2, stm32, esp32, and the docs.
wdt=machine.WDT(0, timeout)
Timeout is given in ms. The valid range is 500 to 128000 (128
seconds) with 500 ms granularity. Values outside of that range will
be silently aligned.
wdt.feed()
Resets the watchdog timer (feeding).
wdt.timeout_ms(value)
Sets a new timeout and feeds the watchdog.
This is a new, preliminary method which is not yet documented.
reset_cause = machine.reset_cause()
Values returned:
1 Power On reset
3 Watchdog reset
5 Software reset: state after calling machine.reset()
More elaborate API functions are supported by the MCU, like an interrupt
called a certain time after feeding. But for port cosistency that is not
implemented.
