These two new classes allow you to record image data for later viewing
at the same speed the image data was recorded. Unlike GIF/MJPEG the
image data is stored on the file system completely uncompressed in
native frame buffer format making super fast reading and writing
possible. Recording VGA Grayscale at ~13 FPS is possible along with
playing it back. (That's about 30 Mb/s folks).
...
The motivation for writing these scripts is so that you can record video
of something like a line following track, take that video home, and work
on computer vision algorithms for that data.
These classes should make it a lot easier to use the camera at home now.
Moved structs along with image copying code from sensor into
framebuffer.c so that we can use the new copy_fb_to_jpeg_fb() function
in the image library for methods with "copy_to_fb" so that they update
the IDE preview when called.
Also, I noticed that the MAIN_FB_SIZE() value is not calculated
correctly in all cases. Will fix later. Trying to keep this commit clean
for just the refactoring.
All changes have been tested. Too.
With the new frame rate speed increase folks will be asking for smaller
resolutions to get 85 FPS or so when running an algorithm. This commit
adds all scaled modes of frame sizes we already support. We should be
good now on frame sizes for the present and future now.
Todo - skip frames does not run long enough anymore for auto white
balance and gain to stablize before they are turned off in some scripts.
This needs to be adjusted.
Frame rate now can hit 30 FPS when JPEG compression is off. Merging of
lines is perfected too which greatly reduces the noise output. Also,
lines are now objects so you can get their values in an easy way.
We now have a nice and fast malloc system that easily offers 300KB+
dynamic memory... No need to use xalloc anymore except when we're
transfering objects to MP memory space.
The user can now call compressed_for_ide() and compress_for_ide() on an
image to make a jpeg compressed image formatted for transmission over a
data link other than USB. Note that OpenMV IDE will automatically handle
one of these compressed images ending up in the frame buffer and display
it like normal.
To send the image data the user can do:
print(img.compress_for_ide(), end='')
print(img.compressed_for_ide(), end='')
uart.write(img.compress_for_ide())
uart.write(img.compressed_for_ide())
and etc. As mentioned above, compress() compresses the image in place.
And that in place compressed image will then end up in the jpeg buffer.
OpenMV IDE will automatically handling decoding these special compressed
images when this happens.
All variations of the above code have been tested and are working.
Main ZBar code, breaking the commit up because the main file is big.
I will refeactor UMM alloc out of apriltag.c and zbar.c once I'm
finished with this commit stream.
ZBar integration gives us support for basically all 1D linear barcodes.
* Delay the FB size check and corrections to snapshot(). If the frame doesn't
fit FB it gets cropped for GS, or the sensor is switched to bayer for RGB.
Everything works. Running out of memory is fixed and the rotation value
is valid now. For 320x240 operation on the STM32H7 we're going to need
on the order of 1 MB in the entire frame buffer. The code is designed to
handle us getting this amount of memory without any new changes for
320x240 support.
This file includes all of the relevant header/source files from the
april tag library merged into one big file. Additionally, it also
includes heap/quicksort code. I've done the work of going through
the april tag library line by line and fixing it to use fb_alloc,
floats, and our fast math functions.
Anyway, I'm sending this massive file by itself first since it's so
big. Note that we migh in the future want to pull things out of this
file for our own use later if we need linear algebra support.
I also tested the firmware for about an hour to make sure there was no
stack leak.
Note that I prefer for fb_free() to still be called versus
fb_free_till_mark() doing that for you in the code.
For functions without this fix they will just free the entire fb_alloc
stack when an exception happens. For functions with this fix they will
only free up to and including the mark. Since there are no places in the
firmware where you could start building a second fb_alloc stack when one
is already in place this point is moot currently. But, if we do
something like that in the future the problem will have already been
solved.
Any new code or re-worked code should use the mark function.
Speed up the algorithm by fixing the abs() issue. Do not use that
function in any of your code. It by itself cut the speed of the code
in half. I don't know what's in that function but I'm guessing it does
ABS of a float using ints or something.
I made the zoom parameter functional now too so you can use lens_corr to
zoom in on the image. Argument parsing is handled too. Finally, I
updated the only script where this is used.
Note that I'm able to get more than 10 FPS at 160x120 on the M4 and 15
FPS at 160x120 on the M7. Previous this was at about 5 FPS and 7.5 FPS
respectively.
* Detect when VBUS is connected and wait for enumeration, the IDE
timeout is only started after enumeration.
* A 2s timeout for enumeration is used so the cam doesn't get stuck
if it's connected to a charger or a power bank.