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FFmpeg/tests/ref/fate/sws-floatimg-cmp
Mark Reid a48adcd136 libswcale/input: use more accurate planer rgb16 yuv conversions
These conversion appears to be exhibiting the same rounding error as the rgbf32 formats where.
I seperated the rounding value from the 16 and 128 offsets, I think it makes it a little more clear.

Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
2020-10-06 17:56:52 +02:00

121 lines
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gbrpf32le -> yuv444p16le -> gbrpf32le
avg diff: 0.000125
min diff: 0.000000
max diff: 0.000501
gbrpf32le -> yuv444p -> gbrpf32le
avg diff: 0.001804
min diff: 0.000000
max diff: 0.006399
gbrpf32le -> yuv444p9le -> gbrpf32le
avg diff: 0.000906
min diff: 0.000000
max diff: 0.003313
gbrpf32le -> yuv444p10le -> gbrpf32le
avg diff: 0.000467
min diff: 0.000000
max diff: 0.001912
gbrpf32le -> yuv444p12le -> gbrpf32le
avg diff: 0.000166
min diff: 0.000000
max diff: 0.000802
gbrpf32le -> yuv444p14le -> gbrpf32le
avg diff: 0.000127
min diff: 0.000000
max diff: 0.000524
gbrpf32le -> rgb24 -> gbrpf32le
avg diff: 0.001011
min diff: 0.000000
max diff: 0.004229
gbrpf32le -> bgr24 -> gbrpf32le
avg diff: 0.001011
min diff: 0.000000
max diff: 0.004229
gbrpf32le -> rgba -> gbrpf32le
avg diff: 0.001011
min diff: 0.000000
max diff: 0.004229
gbrpf32le -> bgra -> gbrpf32le
avg diff: 0.001011
min diff: 0.000000
max diff: 0.004229
gbrpf32le -> argb -> gbrpf32le
avg diff: 0.001011
min diff: 0.000000
max diff: 0.004229
gbrpf32le -> abgr -> gbrpf32le
avg diff: 0.001011
min diff: 0.000000
max diff: 0.004229
gbrpf32le -> 0rgb -> gbrpf32le
avg diff: 0.001011
min diff: 0.000000
max diff: 0.004229
gbrpf32le -> 0bgr -> gbrpf32le
avg diff: 0.001011
min diff: 0.000000
max diff: 0.004229
gbrpf32le -> rgb0 -> gbrpf32le
avg diff: 0.001011
min diff: 0.000000
max diff: 0.004229
gbrpf32le -> bgr0 -> gbrpf32le
avg diff: 0.001011
min diff: 0.000000
max diff: 0.004229
gbrpf32le -> rgb48le -> gbrpf32le
avg diff: 0.000249
min diff: 0.000000
max diff: 0.000990
gbrpf32le -> bgr48le -> gbrpf32le
avg diff: 0.000249
min diff: 0.000000
max diff: 0.000990
gbrpf32le -> rgba64le -> gbrpf32le
avg diff: 0.000249
min diff: 0.000000
max diff: 0.000990
gbrpf32le -> bgra64le -> gbrpf32le
avg diff: 0.000249
min diff: 0.000000
max diff: 0.000990
gbrpf32le -> gbrp -> gbrpf32le
avg diff: 0.001011
min diff: 0.000000
max diff: 0.004229
gbrpf32le -> gbrap -> gbrpf32le
avg diff: 0.001011
min diff: 0.000000
max diff: 0.004229
gbrpf32le -> gbrp9le -> gbrpf32le
avg diff: 0.000545
min diff: 0.000000
max diff: 0.002245
gbrpf32le -> gbrp10le -> gbrpf32le
avg diff: 0.000350
min diff: 0.000000
max diff: 0.001475
gbrpf32le -> gbrap10le -> gbrpf32le
avg diff: 0.000350
min diff: 0.000000
max diff: 0.001475
gbrpf32le -> gbrp12le -> gbrpf32le
avg diff: 0.000260
min diff: 0.000000
max diff: 0.001135
gbrpf32le -> gbrap12le -> gbrpf32le
avg diff: 0.000260
min diff: 0.000000
max diff: 0.001135
gbrpf32le -> gbrp14le -> gbrpf32le
avg diff: 0.000253
min diff: 0.000000
max diff: 0.001068
gbrpf32le -> gbrp16le -> gbrpf32le
avg diff: 0.000249
min diff: 0.000000
max diff: 0.000990
gbrpf32le -> gbrap16le -> gbrpf32le
avg diff: 0.000249
min diff: 0.000000
max diff: 0.000990