mediadroid-models / xvfi /bottom.param
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+ XVFI for ncnn (Vimeo weights, research and education only, with the authors' permission)
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Input in0 0 1 in0 0=0
Convolution conv2 1 1 in0 b1 0=128 1=4 11=4 3=2 13=2 4=1 14=1 5=1 6=262144 9=1
Convolution conv4 1 1 b1 b3 0=256 1=4 11=4 3=2 13=2 4=1 14=1 5=1 6=524288 9=1
Interp up6 1 1 b3 b5 0=1 1=2.000000e+00 2=2.000000e+00
Convolution conv8 1 1 b5 b7 0=128 1=3 11=3 3=1 13=1 4=1 14=1 5=1 6=294912 9=1
Interp up10 1 1 b7 b9 0=1 1=2.000000e+00 2=2.000000e+00
Convolution conv12 1 1 b9 b11 0=64 1=3 11=3 3=1 13=1 4=1 14=1 5=1 6=73728 9=1
Convolution conv14 1 1 b11 out 0=6 1=3 11=3 3=1 13=1 4=1 14=1 5=1 6=3456