OpenMV固件源码
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Kwabena W. Agyeman d6b49adefa Speed up lens_corr.
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.
2017-01-15 21:32:55 -05:00
design Add sys design doc for HaD 2014-08-20 00:09:30 +02:00
eagle Update OMV3 Eagle Files. 2016-12-17 00:25:05 +02:00
firmware Update firmware images. 2017-01-13 22:45:04 +02:00
imgs update imgs 2016-06-16 00:51:02 +02:00
scad Update scad case 2014-02-09 18:49:01 +02:00
src Speed up lens_corr. 2017-01-15 21:32:55 -05:00
udev Update USB VID/PID 2015-07-21 17:42:31 +02:00
usr Speed up lens_corr. 2017-01-15 21:32:55 -05:00
util Add optical flow util. 2017-01-09 01:46:13 +02:00
.gitignore Update gitignore 2015-07-28 20:35:51 +02:00
.gitmodules Update gitmodules. 2016-05-05 17:28:33 +02:00
CHANGELOG.md Update change log. 2016-11-04 00:15:03 +02:00
LICENSE Update license 2014-09-20 05:09:52 +02:00
README.md Move images to imgs dir, update README 2014-10-31 21:16:26 +02:00

###OpenMV (Open Machine Vision Module)

OpenMV is an open-source tiny machine vision module based on the STM32F4xx ARM Cortex-M4 MCU and the OV2640 JPEG sensor.

OpenMV is programmable in Python3 (MicroPython) and capable of doing face detection and tracking, keypoint extraction, color tracking and more..The board has USB, a uSD connector and an expansion header (USART/SPI/I2C).

A Python IDE with syntax highlighting is available for the camera, it can run/upload scripts to the camera, view the framebuffer and update the firmware.

**This is a video of the color tracking:**

**This is a video of the face detection:**

For more information, please visit my [blog](http://sigalrm.blogspot.com/search/label/OpenMV)