change defaults
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@@ -23,8 +23,8 @@ if __name__ == '__main__':
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ap.add_argument( '-S', '--sharpening', help='Sharpening factor (between 0 and 1 whereas 0 means no sharpening, 1 the most sharpening. Recommendation: Do not exceed 0.25, as it often looks bad)' )
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ap.add_argument( '-N', '--noscaling', help='Do not upscale video, instead only sharpen. Sharpening argument required!', action='store_true' )
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ap.add_argument( '-T', '--threads', help='Thread count to use. Cannot exceed CPU thread count. Scaling non-linear (using 2 threads is not exactly 2x the speed of 1 thread). Scales well with FSR, barely with Real-ESRGAN, as it uses mostly the GPU to upscale' )
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ap.add_argument( '-E', '--engine', help='Upscaling engine. Can be fsr or SS (for Real-ESRGAN). FSR tends to be lower quality, but faster, Real-ESRGAN higher quality, but slower. Defaults to Real-ESRGAN' )
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ap.add_argument( '-M', '--model', help='Only available if using Real-ESRGAN. Change the ML-Model used to upsample video, can be: realesr-animevideov3 | realesrgan-x4plus | realesrgan-x4plus-anime , defaults to realesrgan-x4plus' )
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ap.add_argument( '-E', '--engine', help='Upscaling engine. Can be fsr or SS (for Real-ESRGAN). FSR tends to be lower quality, but faster, Real-ESRGAN is meant for anime. Defaults to fsr' )
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ap.add_argument( '-M', '--model', help='Only available if using Real-ESRGAN. Change the ML-Model used to upsample video, can be: realesr-animevideov3 | realesrgan-x4plus-anime , defaults to realesr-animevideov3' )
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args = ap.parse_args()
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handler = bin.handler.Handler()
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@@ -32,9 +32,9 @@ if __name__ == '__main__':
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go = True;
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go2 = True;
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go3 = True;
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engine = 'SS';
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model = 'realesrgan-x4plus';
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availableModels = [ 'realesr-animevideov3', 'realesrgan-x4plus', 'realesrgan-x4plus-anime' ];
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engine = 'fsr';
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model = 'realesr-animevideov3';
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availableModels = [ 'realesr-animevideov3', 'realesrgan-x4plus-anime' ];
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multiprocessing.freeze_support();
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if ( os.path.exists( args.outputfile ) ):
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