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update to upstream version 20210520 and update README.md mentioning issue #1
Signed-off-by: ArchieMeng <[email protected]>
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README.md

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@@ -9,7 +9,9 @@ rife-ncnn-vulkan-python wraps [rife-ncnn-vulkan project](https://github.com/nihu
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## Downloads
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Linux/Windos/Mac X86_64 build releases are available now. **However, for Linux (Like Ubuntu 18.04) with an older GLIBC (version < 2.29), you may try to use the ubuntu-1804 release or just compile it on your own.**
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Linux/Windos/Mac X86_64 build releases are available now.
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- **However, for Linux (Like Ubuntu 18.04) with an older GLIBC (version < 2.29), you may try to use the ubuntu-1804 release or just compile it on your own.**
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- **Windows release is not working for all python version. The version of Windows build is for python 3.9. This is a known issue: [ImportError: DLL load failed while importing _rife_ncnn_vulkan_wrapper: The specified module could not be found.](https://github.com/ArchieMeng/rife-ncnn-vulkan-python/issues/1)**
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## Build
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Install visual studio and open the project directory, and build. Job done.
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The only problem on Windows is that, you cannot use [CMake for Windows](https://cmake.org/download/) to generate the Visual Studio solution file and build it. This will make the lib crash on loading.
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The only problem on Windows is that, you cannot use [CMake for Windows](https://cmake.org/download/) GUI to generate the Visual Studio solution file and build it. This will make the lib crash on loading.
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The only way is [use Visual Studio to open the project as directory](https://www.microfocus.com/documentation/visual-cobol/vc50/VS2019/GUID-BE1C48AA-DB22-4F38-9644-E9B48658EF36.html), and build it from Visual Studio.
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~~The only way is~~ One way is [use Visual Studio to open the project as directory](https://www.microfocus.com/documentation/visual-cobol/vc50/VS2019/GUID-BE1C48AA-DB22-4F38-9644-E9B48658EF36.html), and build it from Visual Studio.
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And another way is build it from powershell just like what is wrote in [release.yml](.github/workflows/release.yml)
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## About RIFE
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models/rife-HD/contextnet.bin

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models/rife-HD/contextnet.param

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version https://git-lfs.github.com/spec/v1
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oid sha256:4dd4534e6f1ba959cb98d26818fad6c4ef177ab76646adc2bb76470bc1a7c7a4
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size 5761
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7767517
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68 82
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Input input.1 0 1 input.1
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Input flow.1 0 1 flow.1
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UnaryOp flow.0 1 1 flow.1 flow.0 0=1
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Convolution Conv_0 1 1 input.1 45 0=32 1=3 3=2 4=1 5=1 6=864
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PReLU PRelu_1 1 1 45 47 0=32
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Split splitncnn_0 1 2 47 47_splitncnn_0 47_splitncnn_1
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Convolution Conv_2 1 1 47_splitncnn_1 48 0=32 1=3 3=2 4=1 6=9216
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Convolution Conv_3 1 1 47_splitncnn_0 49 0=32 1=3 3=2 4=1 5=1 6=9216
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PReLU PRelu_4 1 1 49 51 0=32
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Convolution Conv_5 1 1 51 52 0=32 1=3 4=1 5=1 6=9216
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Split splitncnn_1 1 2 52 52_splitncnn_0 52_splitncnn_1
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Pooling ReduceMean_7 1 1 52_splitncnn_1 54 0=1 4=1
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InnerProduct Conv_8 1 1 54 57 0=16 2=512 9=2 -23310=1,1.143919e+00
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InnerProduct Conv_10 1 1 57 59 0=32 2=512 9=4
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BinaryOp Mul_12 2 1 52_splitncnn_0 59 60 0=2
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BinaryOp Add_13 2 1 60 48 61
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PReLU PRelu_14 1 1 61 63 0=32
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Split splitncnn_2 1 3 63 63_splitncnn_0 63_splitncnn_1 63_splitncnn_2
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Interp Resize_16 1 1 flow.0 73 0=2 1=5.000000e-01 2=5.000000e-01
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BinaryOp Mul_18 1 1 73 75 0=2 1=1 2=5.000000e-01
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Split splitncnn_3 1 2 75 75_splitncnn_0 75_splitncnn_1
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rife.Warp Warp_24 2 1 63_splitncnn_2 75_splitncnn_1 f1
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Convolution Conv_25 1 1 63_splitncnn_1 82 0=64 1=3 3=2 4=1 6=18432
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Convolution Conv_26 1 1 63_splitncnn_0 83 0=64 1=3 3=2 4=1 5=1 6=18432
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PReLU PRelu_27 1 1 83 85 0=64
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Convolution Conv_28 1 1 85 86 0=64 1=3 4=1 5=1 6=36864
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Split splitncnn_4 1 2 86 86_splitncnn_0 86_splitncnn_1
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Pooling ReduceMean_30 1 1 86_splitncnn_1 88 0=1 4=1
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InnerProduct Conv_31 1 1 88 91 0=16 2=1024 9=2 -23310=1,3.006833e-01
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InnerProduct Conv_33 1 1 91 93 0=64 2=1024 9=4
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BinaryOp Mul_35 2 1 86_splitncnn_0 93 94 0=2
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BinaryOp Add_36 2 1 94 82 95
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PReLU PRelu_37 1 1 95 97 0=64
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Split splitncnn_5 1 3 97 97_splitncnn_0 97_splitncnn_1 97_splitncnn_2
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Interp Resize_39 1 1 75_splitncnn_0 107 0=2 1=5.000000e-01 2=5.000000e-01
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BinaryOp Mul_41 1 1 107 109 0=2 1=1 2=5.000000e-01
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Split splitncnn_6 1 2 109 109_splitncnn_0 109_splitncnn_1
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rife.Warp Warp_47 2 1 97_splitncnn_2 109_splitncnn_1 f2
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Convolution Conv_48 1 1 97_splitncnn_1 116 0=128 1=3 3=2 4=1 6=73728
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Convolution Conv_49 1 1 97_splitncnn_0 117 0=128 1=3 3=2 4=1 5=1 6=73728
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PReLU PRelu_50 1 1 117 119 0=128
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Convolution Conv_51 1 1 119 120 0=128 1=3 4=1 5=1 6=147456
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Split splitncnn_7 1 2 120 120_splitncnn_0 120_splitncnn_1
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Pooling ReduceMean_53 1 1 120_splitncnn_1 122 0=1 4=1
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InnerProduct Conv_54 1 1 122 125 0=16 2=2048 9=2 -23310=1,7.002444e-02
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InnerProduct Conv_56 1 1 125 127 0=128 2=2048 9=4
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BinaryOp Mul_58 2 1 120_splitncnn_0 127 128 0=2
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BinaryOp Add_59 2 1 128 116 129
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PReLU PRelu_60 1 1 129 131 0=128
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Split splitncnn_8 1 3 131 131_splitncnn_0 131_splitncnn_1 131_splitncnn_2
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Interp Resize_62 1 1 109_splitncnn_0 141 0=2 1=5.000000e-01 2=5.000000e-01
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BinaryOp Mul_64 1 1 141 143 0=2 1=1 2=5.000000e-01
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Split splitncnn_9 1 2 143 143_splitncnn_0 143_splitncnn_1
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rife.Warp Warp_70 2 1 131_splitncnn_2 143_splitncnn_1 f3
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Convolution Conv_71 1 1 131_splitncnn_1 150 0=256 1=3 3=2 4=1 6=294912
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Convolution Conv_72 1 1 131_splitncnn_0 151 0=256 1=3 3=2 4=1 5=1 6=294912
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PReLU PRelu_73 1 1 151 153 0=256
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Convolution Conv_74 1 1 153 154 0=256 1=3 4=1 5=1 6=589824
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Split splitncnn_10 1 2 154 154_splitncnn_0 154_splitncnn_1
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Pooling ReduceMean_76 1 1 154_splitncnn_1 156 0=1 4=1
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InnerProduct Conv_77 1 1 156 159 0=16 2=4096 9=2 -23310=1,6.568319e-02
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InnerProduct Conv_79 1 1 159 161 0=256 2=4096 9=4
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BinaryOp Mul_81 2 1 154_splitncnn_0 161 162 0=2
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BinaryOp Add_82 2 1 162 150 163
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PReLU PRelu_83 1 1 163 165 0=256
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Interp Resize_85 1 1 143_splitncnn_0 175 0=2 1=5.000000e-01 2=5.000000e-01
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BinaryOp Mul_87 1 1 175 177 0=2 1=1 2=5.000000e-01
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rife.Warp Warp_93 2 1 165 177 f4

models/rife-HD/flownet.bin

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