Linear sharpen 1 for use with luma 13.0 and newer, for those who might prefer to use that instead of a whole module replacement
if anyone wants a different one you make these with the code they provide, but if you arent comfortable with python or not sure how to do it anyway then let me know what filter you want and I can generate the file
https://github.com/DullPointer/TWPatch_a/blob/master/soos/krnlist_all.h#L192
https://github.com/LumaTeam/Luma3DS/blob/master/arm9/source/patches.c#L774
example for linear sharpen 1:
if anyone wants a different one you make these with the code they provide, but if you arent comfortable with python or not sure how to do it anyway then let me know what filter you want and I can generate the file
https://github.com/DullPointer/TWPatch_a/blob/master/soos/krnlist_all.h#L192
https://github.com/LumaTeam/Luma3DS/blob/master/arm9/source/patches.c#L774
example for linear sharpen 1:
Code:
import struct; open("twl_upscaling_filter.bin", "wb+").write(struct.pack("<30H", 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0xF800, 0xF800, 0xF800, 0xF800, 0xF800, 0x1000, 0x2000, 0x3000, 0x4000, 0x5000, 0x4000, 0x3000, 0x2000, 0x1000, 0xF800, 0xF800, 0xF800, 0xF800, 0xF800, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000))
It doesn't need to take a billion years to re-compress the .cxi, as Luma patches the scale matrix after decompression, in-memory.
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