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Read supported interp factors from Implementation/AI class
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@@ -6,11 +6,11 @@ namespace Flowframes.Data
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{
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class Implementations
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{
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public static AI rifeCuda = new AI("RIFE_CUDA", "RIFE", "CUDA/Pytorch Implementation of RIFE (Nvidia Only!)", "rife-cuda", true);
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public static AI rifeNcnn = new AI("RIFE_NCNN", "RIFE (NCNN)", "Vulkan/NCNN Implementation of RIFE", "rife-ncnn", false);
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public static AI flavrCuda = new AI("FLAVR_CUDA", "FLAVR", "Experimental Pytorch Implementation of FLAVR (Nvidia Only!)", "flavr-cuda", true);
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public static AI dainNcnn = new AI("DAIN_NCNN", "DAIN (NCNN)", "Vulkan/NCNN Implementation of DAIN", "dain-ncnn", true);
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public static AI xvfiCuda = new AI("XVFI_CUDA", "XVFI", "CUDA / Pytorch Implementation of XVFI (Nvidia Only!)", "xvfi-cuda", true);
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public static AI rifeCuda = new AI("RIFE_CUDA", "RIFE", "CUDA/Pytorch Implementation of RIFE (Nvidia Only!)", "rife-cuda", new int[] { 2, 4, 8, 16 });
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public static AI rifeNcnn = new AI("RIFE_NCNN", "RIFE (NCNN)", "Vulkan/NCNN Implementation of RIFE", "rife-ncnn", new int[] { 2, 4, 8 }, true);
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public static AI flavrCuda = new AI("FLAVR_CUDA", "FLAVR", "Experimental Pytorch Implementation of FLAVR (Nvidia Only!)", "flavr-cuda", new int[] { 2, 4, 8 });
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public static AI dainNcnn = new AI("DAIN_NCNN", "DAIN (NCNN)", "Vulkan/NCNN Implementation of DAIN", "dain-ncnn", new int[] { 2, 4, 8 });
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public static AI xvfiCuda = new AI("XVFI_CUDA", "XVFI", "CUDA / Pytorch Implementation of XVFI (Nvidia Only!)", "xvfi-cuda", new int[] { 2, 3, 4, 5, 6, 7, 8, 9, 10 });
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public static List<AI> networks = new List<AI>();
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