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update to upstream version 20210520 and update README.md mentioning i…
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…ssue #1

Signed-off-by: ArchieMeng <[email protected]>
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@ArchieMeng
ArchieMeng committed May 21, 2021
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9 changes: 6 additions & 3 deletions README.md
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Expand Up @@ -9,7 +9,9 @@ rife-ncnn-vulkan-python wraps [rife-ncnn-vulkan project](https://github.com/nihu

## Downloads

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.**
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.**
- **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)**

## Build

Expand All @@ -30,9 +32,10 @@ I used Visual Studio 2019 and msvc v142 to build this project for Windows.

Install visual studio and open the project directory, and build. Job done.

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.
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.

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.
~~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.
And another way is build it from powershell just like what is wrote in [release.yml](.github/workflows/release.yml)

## About RIFE

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73 changes: 70 additions & 3 deletions models/rife-HD/contextnet.param
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version https://git-lfs.github.com/spec/v1
oid sha256:4dd4534e6f1ba959cb98d26818fad6c4ef177ab76646adc2bb76470bc1a7c7a4
size 5761
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68 82
Input input.1 0 1 input.1
Input flow.1 0 1 flow.1
UnaryOp flow.0 1 1 flow.1 flow.0 0=1
Convolution Conv_0 1 1 input.1 45 0=32 1=3 3=2 4=1 5=1 6=864
PReLU PRelu_1 1 1 45 47 0=32
Split splitncnn_0 1 2 47 47_splitncnn_0 47_splitncnn_1
Convolution Conv_2 1 1 47_splitncnn_1 48 0=32 1=3 3=2 4=1 6=9216
Convolution Conv_3 1 1 47_splitncnn_0 49 0=32 1=3 3=2 4=1 5=1 6=9216
PReLU PRelu_4 1 1 49 51 0=32
Convolution Conv_5 1 1 51 52 0=32 1=3 4=1 5=1 6=9216
Split splitncnn_1 1 2 52 52_splitncnn_0 52_splitncnn_1
Pooling ReduceMean_7 1 1 52_splitncnn_1 54 0=1 4=1
InnerProduct Conv_8 1 1 54 57 0=16 2=512 9=2 -23310=1,1.143919e+00
InnerProduct Conv_10 1 1 57 59 0=32 2=512 9=4
BinaryOp Mul_12 2 1 52_splitncnn_0 59 60 0=2
BinaryOp Add_13 2 1 60 48 61
PReLU PRelu_14 1 1 61 63 0=32
Split splitncnn_2 1 3 63 63_splitncnn_0 63_splitncnn_1 63_splitncnn_2
Interp Resize_16 1 1 flow.0 73 0=2 1=5.000000e-01 2=5.000000e-01
BinaryOp Mul_18 1 1 73 75 0=2 1=1 2=5.000000e-01
Split splitncnn_3 1 2 75 75_splitncnn_0 75_splitncnn_1
rife.Warp Warp_24 2 1 63_splitncnn_2 75_splitncnn_1 f1
Convolution Conv_25 1 1 63_splitncnn_1 82 0=64 1=3 3=2 4=1 6=18432
Convolution Conv_26 1 1 63_splitncnn_0 83 0=64 1=3 3=2 4=1 5=1 6=18432
PReLU PRelu_27 1 1 83 85 0=64
Convolution Conv_28 1 1 85 86 0=64 1=3 4=1 5=1 6=36864
Split splitncnn_4 1 2 86 86_splitncnn_0 86_splitncnn_1
Pooling ReduceMean_30 1 1 86_splitncnn_1 88 0=1 4=1
InnerProduct Conv_31 1 1 88 91 0=16 2=1024 9=2 -23310=1,3.006833e-01
InnerProduct Conv_33 1 1 91 93 0=64 2=1024 9=4
BinaryOp Mul_35 2 1 86_splitncnn_0 93 94 0=2
BinaryOp Add_36 2 1 94 82 95
PReLU PRelu_37 1 1 95 97 0=64
Split splitncnn_5 1 3 97 97_splitncnn_0 97_splitncnn_1 97_splitncnn_2
Interp Resize_39 1 1 75_splitncnn_0 107 0=2 1=5.000000e-01 2=5.000000e-01
BinaryOp Mul_41 1 1 107 109 0=2 1=1 2=5.000000e-01
Split splitncnn_6 1 2 109 109_splitncnn_0 109_splitncnn_1
rife.Warp Warp_47 2 1 97_splitncnn_2 109_splitncnn_1 f2
Convolution Conv_48 1 1 97_splitncnn_1 116 0=128 1=3 3=2 4=1 6=73728
Convolution Conv_49 1 1 97_splitncnn_0 117 0=128 1=3 3=2 4=1 5=1 6=73728
PReLU PRelu_50 1 1 117 119 0=128
Convolution Conv_51 1 1 119 120 0=128 1=3 4=1 5=1 6=147456
Split splitncnn_7 1 2 120 120_splitncnn_0 120_splitncnn_1
Pooling ReduceMean_53 1 1 120_splitncnn_1 122 0=1 4=1
InnerProduct Conv_54 1 1 122 125 0=16 2=2048 9=2 -23310=1,7.002444e-02
InnerProduct Conv_56 1 1 125 127 0=128 2=2048 9=4
BinaryOp Mul_58 2 1 120_splitncnn_0 127 128 0=2
BinaryOp Add_59 2 1 128 116 129
PReLU PRelu_60 1 1 129 131 0=128
Split splitncnn_8 1 3 131 131_splitncnn_0 131_splitncnn_1 131_splitncnn_2
Interp Resize_62 1 1 109_splitncnn_0 141 0=2 1=5.000000e-01 2=5.000000e-01
BinaryOp Mul_64 1 1 141 143 0=2 1=1 2=5.000000e-01
Split splitncnn_9 1 2 143 143_splitncnn_0 143_splitncnn_1
rife.Warp Warp_70 2 1 131_splitncnn_2 143_splitncnn_1 f3
Convolution Conv_71 1 1 131_splitncnn_1 150 0=256 1=3 3=2 4=1 6=294912
Convolution Conv_72 1 1 131_splitncnn_0 151 0=256 1=3 3=2 4=1 5=1 6=294912
PReLU PRelu_73 1 1 151 153 0=256
Convolution Conv_74 1 1 153 154 0=256 1=3 4=1 5=1 6=589824
Split splitncnn_10 1 2 154 154_splitncnn_0 154_splitncnn_1
Pooling ReduceMean_76 1 1 154_splitncnn_1 156 0=1 4=1
InnerProduct Conv_77 1 1 156 159 0=16 2=4096 9=2 -23310=1,6.568319e-02
InnerProduct Conv_79 1 1 159 161 0=256 2=4096 9=4
BinaryOp Mul_81 2 1 154_splitncnn_0 161 162 0=2
BinaryOp Add_82 2 1 162 150 163
PReLU PRelu_83 1 1 163 165 0=256
Interp Resize_85 1 1 143_splitncnn_0 175 0=2 1=5.000000e-01 2=5.000000e-01
BinaryOp Mul_87 1 1 175 177 0=2 1=1 2=5.000000e-01
rife.Warp Warp_93 2 1 165 177 f4
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