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README.md 8280975da2 projects/rgb_panel: Import example RGB panel driving using HUB75 core hace 6 años

README.md

RGB Panel driver for iCEBreaker board

This is an example usage of the Hub75 driver IP in this repository and implements driving RGB panels using the iCEBreaker board along with the RGB Panel PMOD.

Default configuration is for a 64x64 panel using 1:32 multiplex. Note that some panels have the Red and Blue channels swapped, so you might have to adapt this ...

This example has 3 modes of operations explained below. Each mode is selected by uncommenting the appropriate define at the top of the top.v file.

Pattern mode

This generates a Red & Blue gradient across the two axises and then some moving green lines across. Very simple example of generating data directly on the FPGA itself and can also be used as a pretty reliable test that all works well.

Video play mode

In this mode, frames are read from the SPI flash and displayed in sequence.

For this to work, you need some video content to be preloaded into the flash. You can use the special make data-prog target to load a default nyan cat animation.

To load your own animation in flash, checkout the ADDR_BASE and N_FRAMES parameters that tell the module where to look in flash for the image data. It needs to be raw frames, pixel format is either in RGB332 or RGB565 or RGB888 depending on the BITDEPTH you selected. (Default is 16 bits and RGB565).

Video streaming mode

In this mode, video content is streamed from the host PC to the FPGA using SPI (through the FT2232H used for programming the FPGA).

A control software stream.py is provided in the sw/ sub-directory. It required Python 3.x and pyftdi.

And example usage would be :

./stream.py --fps 10 --loop --input ../data/nyan_glitch_64x64x16.raw

See the --help for other options available.

To prepare content, you can use ffmpeg :

ffmpeg -i input.mp4 -filter_complex "[0:v]crop=540:540,scale=64:64" -pix_fmt rgb565 -f rawvideo output.raw

Obviously the number for the crop filter need to be adjusted for your source material to get a square image that selects the best region to show. Also, you can do use unix FIFOs to directly pipe content from ffmpeg to the stream.py application without the need for intermediate files.