add nearestneighbour upscaling
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@@ -132,8 +132,8 @@ class Handler:
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time.sleep( 2 );
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time.sleep( 2 );
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if ( scalerEngine == 'fsr' ):
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if ( scalerEngine == 'fsr' or scalerEngine == 'NN' ):
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self.fsrScaler( self.tmppath, filepath, threads, fsrpath, quality_setting + 'x', sharpening, scaling, filetype )
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self.fsrScaler( self.tmppath, filepath, threads, fsrpath, quality_setting + 'x', sharpening, scaling, filetype, scalerEngine )
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elif ( scalerEngine == 'SS' ):
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elif ( scalerEngine == 'SS' ):
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if ( not useSpecialModeSS ):
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if ( not useSpecialModeSS ):
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self.superScaler( self.tmppath, threads, quality_setting, self.os_type, model )
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self.superScaler( self.tmppath, threads, quality_setting, self.os_type, model )
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@@ -248,7 +248,7 @@ class Handler:
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specialScalerEngine( tmppath, t, quality_setting, model, self.os_type )
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specialScalerEngine( tmppath, t, quality_setting, model, self.os_type )
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def fsrScaler ( self, tmppath, filepath, threads, fsrpath, quality_setting, sharpening, scaling, filetype ):
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def fsrScaler ( self, tmppath, filepath, threads, fsrpath, quality_setting, sharpening, scaling, filetype, mode ):
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# Locate Images and assemble FSR-Command
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# Locate Images and assemble FSR-Command
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self.file_list = []
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self.file_list = []
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self.filelist = os.listdir(tmppath)
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self.filelist = os.listdir(tmppath)
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@@ -295,7 +295,9 @@ class Handler:
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self.threads = multiprocessing.cpu_count();
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self.threads = multiprocessing.cpu_count();
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if ( not scaling ):
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if ( not scaling ):
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engines = { 'NN': 'NearestNeighbor', 'fsr':'FidelityFX Super Resolution' }
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print( f'\n\n==> Upscaling using { self.threads } threads <==\n\n' );
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print( f'\n\n==> Upscaling using { self.threads } threads <==\n\n' );
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print( f'\n\n==> Upscaling Engine is { engines[ mode ] } <==\n\n' );
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time.sleep( 2 );
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time.sleep( 2 );
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@@ -312,7 +314,10 @@ class Handler:
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self.command_list.append( ( self.files, fsrpath, quality_setting, i, self.maxlength, self.os_type ) )
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self.command_list.append( ( self.files, fsrpath, quality_setting, i, self.maxlength, self.os_type ) )
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self.pool = multiprocessing.Pool( self.threads )
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self.pool = multiprocessing.Pool( self.threads )
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self.pool.starmap( upscalerEngine, self.command_list );
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if ( mode == 'NN' ):
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self.pool.starmap( bilinearEngine, self.command_list );
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elif ( mode == 'fsr' ):
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self.pool.starmap( upscalerEngine, self.command_list );
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self.pool.close();
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self.pool.close();
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self.pool.join();
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self.pool.join();
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@@ -444,6 +449,68 @@ def upscalerEngine ( files, fsrpath, quality_setting, number, maxlength, os_type
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print( '\n\nCompleted executing Job\n\n\n PROCESS: ', number, '\n\n\n' );
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print( '\n\nCompleted executing Job\n\n\n PROCESS: ', number, '\n\n\n' );
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def bilinearEngine ( files, fsrpath, quality_setting, number, maxlength, os_type ):
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files = files;
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# Refactoring of commands that are longer than 32K characters
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fileout = [];
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pos = 0;
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if len( files ) > maxlength:
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while files[maxlength - pos:maxlength - pos + 1] != ' ':
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pos += 1
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file_processing = files[:maxlength - pos]
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if file_processing[len(file_processing) - 14:len(file_processing) - 12] == 'ig':
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pos += 5
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else:
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pass
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while files[maxlength - pos:maxlength - pos + 1] != ' ':
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pos += 1
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fileout.append(files[:maxlength - pos])
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filesopt = files[maxlength - pos:]
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posx = 0
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posy = maxlength
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# Command refactoring for commands that are longer than 64K characters
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if len(filesopt) > maxlength:
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while len(filesopt) > maxlength:
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posx += maxlength - pos
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posy += maxlength - pos
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pos = 1
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while files[posy - pos:posy - pos + 1] != ' ':
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pos += 1
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file_processing = files[posx:posy - pos]
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if file_processing[len(file_processing) - 14:len(file_processing) - 12] == 'ig':
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pos += 5
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else:
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pass
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while files[posy - pos:posy - pos + 1] != ' ':
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pos += 1
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file_processing = files[posx:posy - pos]
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fileout.append(file_processing)
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filesopt = files[posy - pos:]
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fileout.append(filesopt)
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else:
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fileout.append(files[maxlength - pos:])
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else:
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fileout.append(files)
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# Upscaling images
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print( '\n\n\nUpscaling images... \n\n\n\n\n\n PROCESS: ', number, '\n\n\n' )
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while len( fileout ) > 0:
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files_handle = fileout.pop(0)
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if os_type == 'linux':
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command_us = f'wine {fsrpath} -Mode NearestNeighbor -Scale {quality_setting} {quality_setting} {files_handle}'
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elif os_type == 'win32':
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command_us = f'FidelityFX_CLI -Mode NearestNeighbor -Scale {quality_setting} {quality_setting} {files_handle}'
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else:
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print( 'OS CURRENTLY UNSUPPORTED!' )
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return False
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sub = subprocess.Popen( command_us, shell=True );
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sub.wait();
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time.sleep(3)
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print( '\n\nCompleted executing Job\n\n\n PROCESS: ', number, '\n\n\n' );
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########################
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########################
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#
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#
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# Sharpening
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# Sharpening
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@@ -24,7 +24,7 @@ if __name__ == '__main__':
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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( '-N', '--noscaling', help='Do not upscale video, instead only sharpen. Sharpening argument required!', action='store_true' )
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ap.add_argument( '-t', '--threading', help='Use special threading mode with SS scaler (spawns 16 threads upscaling at one time)', action='store_true' )
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ap.add_argument( '-t', '--threading', help='Use special threading mode with SS scaler (spawns 16 threads upscaling at one time)', 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( '-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 is meant for anime. Defaults to fsr' )
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ap.add_argument( '-E', '--engine', help='Upscaling engine. Can be fsr, NN (for NearestNeighbor) or SS (for Real-ESRGAN). FSR tends to be lower quality, but faster, NeirestNeighbour is super fast but very ugly, Real-ESRGAN is meant for anime and is super slow. 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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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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args = ap.parse_args()
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@@ -49,7 +49,7 @@ if __name__ == '__main__':
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go = False
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go = False
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if ( args.engine != None ):
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if ( args.engine != None ):
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if ( args.engine == 'fsr' or args.engine == 'SS' ):
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if ( args.engine == 'fsr' or args.engine == 'SS' or args.engine == 'NN' ):
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engine = args.engine;
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engine = args.engine;
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else:
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else:
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print( 'Invalid argument for engine' )
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print( 'Invalid argument for engine' )
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