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extract: Add batch processing mode

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torzdf
2022-08-31 19:48:47 +01:00
parent 97da6250ff
commit 13cfb3f39e
10 changed files with 581 additions and 357 deletions
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9
lib/cli/args.py
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@@ -377,6 +377,15 @@ class ExtractArgs(ExtractConvertArgs):
default_aligner = "fan"
argument_list: List[Dict[str, Any]] = []
argument_list.append(dict(
opts=("-b", "--batch-mode"),
action="store_true",
dest="batch_mode",
default=False,
group=_("Data"),
help=_("R|If selected then the input_dir should be a parent folder containing "
"multiple videos and/or folders of images you wish to extract from. The faces "
"will be output to separate sub-folders in the output_dir.")))
argument_list.append(dict(
opts=("-D", "--detector"),
action=Radio,

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locales/es/LC_MESSAGES/lib.cli.args.mo
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189
locales/es/LC_MESSAGES/lib.cli.args.po
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@@ -6,8 +6,8 @@ msgid ""
msgstr ""
"Project-Id-Version: faceswap.spanish\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2022-08-05 13:58+0100\n"
"PO-Revision-Date: 2022-08-05 14:04+0100\n"
"POT-Creation-Date: 2022-08-31 19:19+0100\n"
"PO-Revision-Date: 2022-08-31 19:20+0100\n"
"Last-Translator: \n"
"Language-Team: tokafondo\n"
"Language: es\n"
@@ -55,7 +55,7 @@ msgstr ""
"almacenarlo en la carpeta pde instalación de faceswap"
#: lib/cli/args.py:320 lib/cli/args.py:329 lib/cli/args.py:337
#: lib/cli/args.py:655 lib/cli/args.py:664
#: lib/cli/args.py:385 lib/cli/args.py:664 lib/cli/args.py:673
msgid "Data"
msgstr "Datos"
@@ -90,13 +90,23 @@ msgstr ""
"Extrae caras de fuentes de imagen o video.\n"
"Los plugins de extracción pueden ser configuradas en el menú de 'Ajustes'"
#: lib/cli/args.py:386 lib/cli/args.py:402 lib/cli/args.py:414
#: lib/cli/args.py:453 lib/cli/args.py:471 lib/cli/args.py:483
#: lib/cli/args.py:674 lib/cli/args.py:701 lib/cli/args.py:739
#: lib/cli/args.py:386
msgid ""
"R|If selected then the input_dir should be a parent folder containing "
"multiple videos and/or folders of images you wish to extract from. The faces "
"will be output to separate sub-folders in the output_dir."
msgstr ""
"Si se selecciona, input_dir debe ser una carpeta principal que contenga "
"varios videos y/o carpetas de imágenes de las que desea extraer. Las caras "
"se enviarán a subcarpetas separadas en output_dir."
#: lib/cli/args.py:395 lib/cli/args.py:411 lib/cli/args.py:423
#: lib/cli/args.py:462 lib/cli/args.py:480 lib/cli/args.py:492
#: lib/cli/args.py:683 lib/cli/args.py:710 lib/cli/args.py:748
msgid "Plugins"
msgstr "Extensiones"
#: lib/cli/args.py:387
#: lib/cli/args.py:396
msgid ""
"R|Detector to use. Some of these have configurable settings in '/config/"
"extract.ini' or 'Settings > Configure Extract 'Plugins':\n"
@@ -119,7 +129,7 @@ msgstr ""
"detectar más caras y tiene menos falsos positivos que otros detectores "
"basados en GPU, pero uso muchos más recursos."
#: lib/cli/args.py:403
#: lib/cli/args.py:412
msgid ""
"R|Aligner to use.\n"
"L|cv2-dnn: A CPU only landmark detector. Faster, less resource intensive, "
@@ -131,7 +141,7 @@ msgstr ""
"pero es menos preciso. Elegir este si necesita rapidez y no usar la GPU.\n"
"L|fan: El mejor alineador. Rápido en la GPU, y lento en la CPU."
#: lib/cli/args.py:415
#: lib/cli/args.py:424
msgid ""
"R|Additional Masker(s) to use. The masks generated here will all take up GPU "
"RAM. You can select none, one or multiple masks, but the extraction may take "
@@ -201,7 +211,7 @@ msgstr ""
"referencia y la máscara se extiende hacia arriba en la frente.\n"
"(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)"
#: lib/cli/args.py:454
#: lib/cli/args.py:463
msgid ""
"R|Performing normalization can help the aligner better align faces with "
"difficult lighting conditions at an extraction speed cost. Different methods "
@@ -224,7 +234,7 @@ msgstr ""
"L|hist: Iguala los histogramas de los canales RGB.\n"
"L|mean: Normalizar los colores de la cara a la media."
#: lib/cli/args.py:472
#: lib/cli/args.py:481
msgid ""
"The number of times to re-feed the detected face into the aligner. Each time "
"the face is re-fed into the aligner the bounding box is adjusted by a small "
@@ -241,7 +251,7 @@ msgstr ""
"más veces se vuelva a introducir la cara en el alineador, menos "
"microfluctuaciones se producirán, pero la extracción será más larga."
#: lib/cli/args.py:484
#: lib/cli/args.py:493
msgid ""
"If a face isn't found, rotate the images to try to find a face. Can find "
"more faces at the cost of extraction speed. Pass in a single number to use "
@@ -253,13 +263,13 @@ msgstr ""
"un solo número para usar incrementos de ese tamaño hasta 360, o pase una "
"lista de números para enumerar exactamente qué ángulos comprobar."
#: lib/cli/args.py:496 lib/cli/args.py:506 lib/cli/args.py:519
#: lib/cli/args.py:533 lib/cli/args.py:776 lib/cli/args.py:790
#: lib/cli/args.py:803 lib/cli/args.py:817
#: lib/cli/args.py:505 lib/cli/args.py:515 lib/cli/args.py:528
#: lib/cli/args.py:542 lib/cli/args.py:785 lib/cli/args.py:799
#: lib/cli/args.py:812 lib/cli/args.py:826
msgid "Face Processing"
msgstr "Proceso de Caras"
#: lib/cli/args.py:497
#: lib/cli/args.py:506
msgid ""
"Filters out faces detected below this size. Length, in pixels across the "
"diagonal of the bounding box. Set to 0 for off"
@@ -268,7 +278,7 @@ msgstr ""
"a lo largo de la diagonal del cuadro delimitador. Establecer a 0 para "
"desactivar"
#: lib/cli/args.py:507 lib/cli/args.py:791
#: lib/cli/args.py:516 lib/cli/args.py:800
msgid ""
"Optionally filter out people who you do not wish to process by passing in an "
"image of that person. Should be a front portrait with a single person in the "
@@ -282,7 +292,7 @@ msgstr ""
"uso del filtro de caras disminuirá significativamente la velocidad de "
"extracción y no se puede garantizar su precisión."
#: lib/cli/args.py:520 lib/cli/args.py:804
#: lib/cli/args.py:529 lib/cli/args.py:813
msgid ""
"Optionally select people you wish to process by passing in an image of that "
"person. Should be a front portrait with a single person in the image. "
@@ -296,7 +306,7 @@ msgstr ""
"del filtro facial disminuirá significativamente la velocidad de extracción y "
"no se puede garantizar su precisión."
#: lib/cli/args.py:534 lib/cli/args.py:818
#: lib/cli/args.py:543 lib/cli/args.py:827
msgid ""
"For use with the optional nfilter/filter files. Threshold for positive face "
"recognition. Lower values are stricter. NB: Using face filter will "
@@ -308,12 +318,12 @@ msgstr ""
"NB: El uso del filtro facial disminuirá significativamente la velocidad de "
"extracción y no se puede garantizar su precisión."
#: lib/cli/args.py:545 lib/cli/args.py:557 lib/cli/args.py:569
#: lib/cli/args.py:581
#: lib/cli/args.py:554 lib/cli/args.py:566 lib/cli/args.py:578
#: lib/cli/args.py:590
msgid "output"
msgstr "salida"
#: lib/cli/args.py:546
#: lib/cli/args.py:555
msgid ""
"The output size of extracted faces. Make sure that the model you intend to "
"train supports your required size. This will only need to be changed for hi-"
@@ -323,7 +333,7 @@ msgstr ""
"pretende entrenar admite el tamaño deseado. Esto sólo tendrá que ser "
"cambiado para los modelos de alta resolución."
#: lib/cli/args.py:558
#: lib/cli/args.py:567
msgid ""
"Extract every 'nth' frame. This option will skip frames when extracting "
"faces. For example a value of 1 will extract faces from every frame, a value "
@@ -333,7 +343,7 @@ msgstr ""
"extraer las caras. Por ejemplo, un valor de 1 extraerá las caras de cada "
"fotograma, un valor de 10 extraerá las caras de cada 10 fotogramas."
#: lib/cli/args.py:570
#: lib/cli/args.py:579
msgid ""
"Automatically save the alignments file after a set amount of frames. By "
"default the alignments file is only saved at the end of the extraction "
@@ -349,18 +359,18 @@ msgstr ""
"ADVERTENCIA: No interrumpa el script al escribir el archivo porque podría "
"corromperse. Poner a 0 para desactivar"
#: lib/cli/args.py:582
#: lib/cli/args.py:591
msgid "Draw landmarks on the ouput faces for debugging purposes."
msgstr ""
"Dibujar puntos de referencia en las caras de salida para fines de depuración."
#: lib/cli/args.py:588 lib/cli/args.py:597 lib/cli/args.py:605
#: lib/cli/args.py:612 lib/cli/args.py:830 lib/cli/args.py:841
#: lib/cli/args.py:849 lib/cli/args.py:868 lib/cli/args.py:874
#: lib/cli/args.py:597 lib/cli/args.py:606 lib/cli/args.py:614
#: lib/cli/args.py:621 lib/cli/args.py:839 lib/cli/args.py:850
#: lib/cli/args.py:858 lib/cli/args.py:877 lib/cli/args.py:883
msgid "settings"
msgstr "ajustes"
#: lib/cli/args.py:589
#: lib/cli/args.py:598
msgid ""
"Don't run extraction in parallel. Will run each part of the extraction "
"process separately (one after the other) rather than all at the smae time. "
@@ -370,7 +380,7 @@ msgstr ""
"extracción por separado (una tras otra) en lugar de hacerlo todo al mismo "
"tiempo. Útil si la VRAM es escasa."
#: lib/cli/args.py:598
#: lib/cli/args.py:607
msgid ""
"Skips frames that have already been extracted and exist in the alignments "
"file"
@@ -378,19 +388,19 @@ msgstr ""
"Omite los fotogramas que ya han sido extraídos y que existen en el archivo "
"de alineaciones"
#: lib/cli/args.py:606
#: lib/cli/args.py:615
msgid "Skip frames that already have detected faces in the alignments file"
msgstr ""
"Omitir los fotogramas que ya tienen caras detectadas en el archivo de "
"alineaciones"
#: lib/cli/args.py:613
#: lib/cli/args.py:622
msgid "Skip saving the detected faces to disk. Just create an alignments file"
msgstr ""
"No guardar las caras detectadas en el disco. Crear sólo un archivo de "
"alineaciones"
#: lib/cli/args.py:635
#: lib/cli/args.py:644
msgid ""
"Swap the original faces in a source video/images to your final faces.\n"
"Conversion plugins can be configured in the 'Settings' Menu"
@@ -400,7 +410,7 @@ msgstr ""
"Los plugins de conversión pueden ser configurados en el menú "
"\"Configuración\""
#: lib/cli/args.py:656
#: lib/cli/args.py:665
msgid ""
"Only required if converting from images to video. Provide The original video "
"that the source frames were extracted from (for extracting the fps and "
@@ -410,7 +420,7 @@ msgstr ""
"original del que se extrajeron los fotogramas de origen (para extraer los "
"fps y el audio)."
#: lib/cli/args.py:665
#: lib/cli/args.py:674
msgid ""
"Model directory. The directory containing the trained model you wish to use "
"for conversion."
@@ -418,7 +428,7 @@ msgstr ""
"Directorio del modelo. El directorio que contiene el modelo entrenado que "
"desea utilizar para la conversión."
#: lib/cli/args.py:675
#: lib/cli/args.py:684
msgid ""
"R|Performs color adjustment to the swapped face. Some of these options have "
"configurable settings in '/config/convert.ini' or 'Settings > Configure "
@@ -458,7 +468,7 @@ msgstr ""
"colores. Generalmente no da resultados muy satisfactorios.\n"
"L|none: No realice el ajuste de color."
#: lib/cli/args.py:702
#: lib/cli/args.py:711
msgid ""
"R|Masker to use. NB: The mask you require must exist within the alignments "
"file. You can add additional masks with the Mask Tool.\n"
@@ -534,7 +544,7 @@ msgstr ""
"L|predicted: Si la opción 'Learn Mask' se habilitó durante el entrenamiento, "
"esto usará la máscara que fue creada por el modelo entrenado."
#: lib/cli/args.py:740
#: lib/cli/args.py:749
msgid ""
"R|The plugin to use to output the converted images. The writers are "
"configurable in '/config/convert.ini' or 'Settings > Configure Convert "
@@ -560,11 +570,11 @@ msgstr ""
"L|pillow: [images] Más lento que opencv, pero tiene más opciones y soporta "
"más formatos."
#: lib/cli/args.py:759 lib/cli/args.py:766 lib/cli/args.py:860
#: lib/cli/args.py:768 lib/cli/args.py:775 lib/cli/args.py:869
msgid "Frame Processing"
msgstr "Proceso de fotogramas"
#: lib/cli/args.py:760
#: lib/cli/args.py:769
#, python-format
msgid ""
"Scale the final output frames by this amount. 100%% will output the frames "
@@ -574,7 +584,7 @@ msgstr ""
"a los fotogramas a las dimensiones de origen. 50%% a la mitad de tamaño. "
"200%% al doble de tamaño"
#: lib/cli/args.py:767
#: lib/cli/args.py:776
msgid ""
"Frame ranges to apply transfer to e.g. For frames 10 to 50 and 90 to 100 use "
"--frame-ranges 10-50 90-100. Frames falling outside of the selected range "
@@ -588,7 +598,7 @@ msgstr ""
"imágenes, ¡los nombres de los archivos deben terminar con el número de "
"fotograma!"
#: lib/cli/args.py:777
#: lib/cli/args.py:786
msgid ""
"If you have not cleansed your alignments file, then you can filter out faces "
"by defining a folder here that contains the faces extracted from your input "
@@ -604,7 +614,7 @@ msgstr ""
"especificada. Si se deja en blanco, se convertirán todas las caras que "
"existan en el archivo de alineaciones."
#: lib/cli/args.py:831
#: lib/cli/args.py:840
msgid ""
"The maximum number of parallel processes for performing conversion. "
"Converting images is system RAM heavy so it is possible to run out of memory "
@@ -621,7 +631,7 @@ msgstr ""
"procesos que los disponibles en su sistema. Si 'singleprocess' está "
"habilitado, este ajuste será ignorado."
#: lib/cli/args.py:842
#: lib/cli/args.py:851
msgid ""
"[LEGACY] This only needs to be selected if a legacy model is being loaded or "
"if there are multiple models in the model folder"
@@ -629,7 +639,7 @@ msgstr ""
"[LEGACY] Sólo es necesario seleccionar esta opción si se está cargando un "
"modelo heredado si hay varios modelos en la carpeta de modelos"
#: lib/cli/args.py:850
#: lib/cli/args.py:859
msgid ""
"Enable On-The-Fly Conversion. NOT recommended. You should generate a clean "
"alignments file for your destination video. However, if you wish you can "
@@ -644,7 +654,7 @@ msgstr ""
"de baja calidad. Si se encuentra un archivo de alineaciones, esta opción "
"será ignorada."
#: lib/cli/args.py:861
#: lib/cli/args.py:870
msgid ""
"When used with --frame-ranges outputs the unchanged frames that are not "
"processed instead of discarding them."
@@ -652,16 +662,16 @@ msgstr ""
"Cuando se usa con --frame-ranges, la salida incluye los fotogramas no "
"procesados en vez de descartarlos."
#: lib/cli/args.py:869
#: lib/cli/args.py:878
msgid "Swap the model. Instead converting from of A -> B, converts B -> A"
msgstr ""
"Intercambiar el modelo. En vez de convertir de A a B, convierte de B a A"
#: lib/cli/args.py:875
#: lib/cli/args.py:884
msgid "Disable multiprocessing. Slower but less resource intensive."
msgstr "Desactiva el multiproceso. Es más lento, pero usa menos recursos."
#: lib/cli/args.py:891
#: lib/cli/args.py:900
msgid ""
"Train a model on extracted original (A) and swap (B) faces.\n"
"Training models can take a long time. Anything from 24hrs to over a week\n"
@@ -673,11 +683,11 @@ msgstr ""
"hasta más de una semana.\n"
"Los plugins de los modelos pueden configurarse en el menú \"Ajustes\""
#: lib/cli/args.py:910 lib/cli/args.py:919
#: lib/cli/args.py:919 lib/cli/args.py:928
msgid "faces"
msgstr "caras"
#: lib/cli/args.py:911
#: lib/cli/args.py:920
msgid ""
"Input directory. A directory containing training images for face A. This is "
"the original face, i.e. the face that you want to remove and replace with "
@@ -687,7 +697,7 @@ msgstr ""
"para la cara A. Esta es la cara original, es decir, la cara que se quiere "
"eliminar y sustituir por la cara B."
#: lib/cli/args.py:920
#: lib/cli/args.py:929
msgid ""
"Input directory. A directory containing training images for face B. This is "
"the swap face, i.e. the face that you want to place onto the head of person "
@@ -697,12 +707,12 @@ msgstr ""
"para la cara B. Esta es la cara de intercambio, es decir, la cara que se "
"quiere colocar en la cabeza de la persona A."
#: lib/cli/args.py:928 lib/cli/args.py:940 lib/cli/args.py:956
#: lib/cli/args.py:981 lib/cli/args.py:991
#: lib/cli/args.py:937 lib/cli/args.py:949 lib/cli/args.py:965
#: lib/cli/args.py:990 lib/cli/args.py:1000
msgid "model"
msgstr "modelo"
#: lib/cli/args.py:929
#: lib/cli/args.py:938
msgid ""
"Model directory. This is where the training data will be stored. You should "
"always specify a new folder for new models. If starting a new model, select "
@@ -716,7 +726,7 @@ msgstr ""
"carpeta que no exista (que se creará). Si continúa entrenando un modelo "
"existente, especifique la ubicación del modelo existente."
#: lib/cli/args.py:941
#: lib/cli/args.py:950
msgid ""
"R|Load the weights from a pre-existing model into a newly created model. For "
"most models this will load weights from the Encoder of the given model into "
@@ -740,7 +750,7 @@ msgstr ""
"NB: Los pesos solo se pueden cargar desde modelos del mismo complemento que "
"desea entrenar."
#: lib/cli/args.py:957
#: lib/cli/args.py:966
msgid ""
"R|Select which trainer to use. Trainers can be configured from the Settings "
"menu or the config folder.\n"
@@ -785,7 +795,7 @@ msgstr ""
"recursos (se necesita una GPU con una buena cantidad de VRAM). Bueno para "
"los detalles, pero más susceptible a las diferencias de color."
#: lib/cli/args.py:982
#: lib/cli/args.py:991
msgid ""
"Output a summary of the model and exit. If a model folder is provided then a "
"summary of the saved model is displayed. Otherwise a summary of the model "
@@ -797,7 +807,7 @@ msgstr ""
"muestra un resumen del modelo que crearía el complemento elegido y los "
"ajustes de configuración."
#: lib/cli/args.py:992
#: lib/cli/args.py:1001
msgid ""
"Freeze the weights of the model. Freezing weights means that some of the "
"parameters in the model will no longer continue to learn, but those that are "
@@ -811,12 +821,12 @@ msgstr ""
"congelará el codificador, pero algunos modelos pueden tener opciones de "
"configuración para congelar otras capas."
#: lib/cli/args.py:1005 lib/cli/args.py:1017 lib/cli/args.py:1028
#: lib/cli/args.py:1039 lib/cli/args.py:1122
#: lib/cli/args.py:1014 lib/cli/args.py:1026 lib/cli/args.py:1037
#: lib/cli/args.py:1048 lib/cli/args.py:1131
msgid "training"
msgstr "entrenamiento"
#: lib/cli/args.py:1006
#: lib/cli/args.py:1015
msgid ""
"Batch size. This is the number of images processed through the model for "
"each side per iteration. NB: As the model is fed 2 sides at a time, the "
@@ -829,7 +839,7 @@ msgstr ""
"momento es el doble del número que se establece aquí. Los lotes más grandes "
"requieren más RAM de la GPU."
#: lib/cli/args.py:1018
#: lib/cli/args.py:1027
msgid ""
"Length of training in iterations. This is only really used for automation. "
"There is no 'correct' number of iterations a model should be trained for. "
@@ -844,7 +854,7 @@ msgstr ""
"automáticamente en un número determinado de iteraciones, puede establecer "
"ese valor aquí."
#: lib/cli/args.py:1029
#: lib/cli/args.py:1038
msgid ""
"[Deprecated - Use '-D, --distribution-strategy' instead] Use the Tensorflow "
"Mirrored Distrubution Strategy to train on multiple GPUs."
@@ -852,7 +862,7 @@ msgstr ""
"[Obsoleto: use '-D, --distribution-strategy' en su lugar] Use la estrategia "
"de distribución duplicada de Tensorflow para entrenar en varias GPU."
#: lib/cli/args.py:1040
#: lib/cli/args.py:1049
msgid ""
"R|Select the distribution stategy to use.\n"
"L|default: Use Tensorflow's default distribution strategy.\n"
@@ -864,16 +874,29 @@ msgid ""
"GPUs. A copy of the model and all variables are loaded onto each GPU with "
"batches distributed to each GPU at each iteration."
msgstr ""
"562 / 5,000\n"
"Translation results\n"
"R|Seleccione la estrategia de distribución a utilizar.\n"
"L|default: utiliza la estrategia de distribución predeterminada de "
"Tensorflow.\n"
"L|central-storage: centraliza las variables en la CPU mientras que las "
"operaciones se realizan en 1 o más GPU locales. Esto puede ayudar a ahorrar "
"algo de VRAM a costa de cierta velocidad al no almacenar variables en la "
"GPU. Nota: Mixed-Precision no es compatible con configuraciones de múltiples "
"GPU.\n"
"L|mirrored: Admite el entrenamiento distribuido síncrono en varias GPU "
"locales. Se carga una copia del modelo y todas las variables en cada GPU con "
"lotes distribuidos a cada GPU en cada iteración."
#: lib/cli/args.py:1057 lib/cli/args.py:1067
#: lib/cli/args.py:1066 lib/cli/args.py:1076
msgid "Saving"
msgstr "Guardar"
#: lib/cli/args.py:1058
#: lib/cli/args.py:1067
msgid "Sets the number of iterations between each model save."
msgstr "Establece el número de iteraciones entre cada guardado del modelo."
#: lib/cli/args.py:1068
#: lib/cli/args.py:1077
msgid ""
"Sets the number of iterations before saving a backup snapshot of the model "
"in it's current state. Set to 0 for off."
@@ -881,11 +904,11 @@ msgstr ""
"Establece el número de iteraciones antes de guardar una copia de seguridad "
"del modelo en su estado actual. Establece 0 para que esté desactivado."
#: lib/cli/args.py:1075 lib/cli/args.py:1086 lib/cli/args.py:1097
#: lib/cli/args.py:1084 lib/cli/args.py:1095 lib/cli/args.py:1106
msgid "timelapse"
msgstr "intervalo"
#: lib/cli/args.py:1076
#: lib/cli/args.py:1085
msgid ""
"Optional for creating a timelapse. Timelapse will save an image of your "
"selected faces into the timelapse-output folder at every save iteration. "
@@ -899,7 +922,7 @@ msgstr ""
"para crear el timelapse. También debe suministrar un parámetro --timelapse-"
"output y un parámetro --timelapse-input-B."
#: lib/cli/args.py:1087
#: lib/cli/args.py:1096
msgid ""
"Optional for creating a timelapse. Timelapse will save an image of your "
"selected faces into the timelapse-output folder at every save iteration. "
@@ -913,7 +936,7 @@ msgstr ""
"para crear el timelapse. También debe suministrar un parámetro --timelapse-"
"output y un parámetro --timelapse-input-A."
#: lib/cli/args.py:1098
#: lib/cli/args.py:1107
msgid ""
"Optional for creating a timelapse. Timelapse will save an image of your "
"selected faces into the timelapse-output folder at every save iteration. If "
@@ -925,17 +948,17 @@ msgstr ""
"Si se suministran las carpetas de entrada pero no la carpeta de salida, se "
"guardará por defecto en la carpeta del modelo /timelapse/"
#: lib/cli/args.py:1107 lib/cli/args.py:1114
#: lib/cli/args.py:1116 lib/cli/args.py:1123
msgid "preview"
msgstr "previsualización"
#: lib/cli/args.py:1108
#: lib/cli/args.py:1117
msgid "Show training preview output. in a separate window."
msgstr ""
"Mostrar la salida de la vista previa del entrenamiento. en una ventana "
"separada."
#: lib/cli/args.py:1115
#: lib/cli/args.py:1124
msgid ""
"Writes the training result to a file. The image will be stored in the root "
"of your FaceSwap folder."
@@ -943,7 +966,7 @@ msgstr ""
"Escribe el resultado del entrenamiento en un archivo. La imagen se "
"almacenará en la raíz de su carpeta FaceSwap."
#: lib/cli/args.py:1123
#: lib/cli/args.py:1132
msgid ""
"Disables TensorBoard logging. NB: Disabling logs means that you will not be "
"able to use the graph or analysis for this session in the GUI."
@@ -951,12 +974,12 @@ msgstr ""
"Desactiva el registro de TensorBoard. NB: Desactivar los registros significa "
"que no podrá utilizar el gráfico o el análisis de esta sesión en la GUI."
#: lib/cli/args.py:1130 lib/cli/args.py:1139 lib/cli/args.py:1148
#: lib/cli/args.py:1157
#: lib/cli/args.py:1139 lib/cli/args.py:1148 lib/cli/args.py:1157
#: lib/cli/args.py:1166
msgid "augmentation"
msgstr "aumento"
#: lib/cli/args.py:1131
#: lib/cli/args.py:1140
msgid ""
"Warps training faces to closely matched Landmarks from the opposite face-set "
"rather than randomly warping the face. This is the 'dfaker' way of doing "
@@ -966,7 +989,7 @@ msgstr ""
"conjunto de caras opuestas en lugar de deformar la cara al azar. Esta es la "
"forma 'dfaker' de hacer la deformación."
#: lib/cli/args.py:1140
#: lib/cli/args.py:1149
msgid ""
"To effectively learn, a random set of images are flipped horizontally. "
"Sometimes it is desirable for this not to occur. Generally this should be "
@@ -977,7 +1000,7 @@ msgstr ""
"general, esto debería dejarse sin efecto, excepto durante el 'entrenamiento "
"de ajuste'."
#: lib/cli/args.py:1149
#: lib/cli/args.py:1158
msgid ""
"Color augmentation helps make the model less susceptible to color "
"differences between the A and B sets, at an increased training time cost. "
@@ -987,7 +1010,7 @@ msgstr ""
"diferencias de color entre los conjuntos A y B, con un mayor coste de tiempo "
"de entrenamiento. Activa esta opción para desactivar el aumento de color."
#: lib/cli/args.py:1158
#: lib/cli/args.py:1167
msgid ""
"Warping is integral to training the Neural Network. This option should only "
"be enabled towards the very end of training to try to bring out more detail. "
@@ -1000,7 +1023,7 @@ msgstr ""
"esta opción desde el principio, es probable que arruine el modelo y se "
"obtengan resultados terribles."
#: lib/cli/args.py:1183
#: lib/cli/args.py:1192
msgid "Output to Shell console instead of GUI console"
msgstr "Salida a la consola Shell en lugar de la consola GUI"

171
locales/lib.cli.args.pot
View File

@@ -8,7 +8,7 @@ msgid ""
msgstr ""
"Project-Id-Version: PACKAGE VERSION\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2022-08-05 13:58+0100\n"
"POT-Creation-Date: 2022-08-31 19:19+0100\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: LANGUAGE <LL@li.org>\n"
@@ -46,7 +46,7 @@ msgid "Path to store the logfile. Leave blank to store in the faceswap folder"
msgstr ""
#: lib/cli/args.py:320 lib/cli/args.py:329 lib/cli/args.py:337
#: lib/cli/args.py:655 lib/cli/args.py:664
#: lib/cli/args.py:385 lib/cli/args.py:664 lib/cli/args.py:673
msgid "Data"
msgstr ""
@@ -73,13 +73,20 @@ msgid ""
"Extraction plugins can be configured in the 'Settings' Menu"
msgstr ""
#: lib/cli/args.py:386 lib/cli/args.py:402 lib/cli/args.py:414
#: lib/cli/args.py:453 lib/cli/args.py:471 lib/cli/args.py:483
#: lib/cli/args.py:674 lib/cli/args.py:701 lib/cli/args.py:739
#: lib/cli/args.py:386
msgid ""
"R|If selected then the input_dir should be a parent folder containing "
"multiple videos and/or folders of images you wish to extract from. The faces "
"will be output to separate sub-folders in the output_dir."
msgstr ""
#: lib/cli/args.py:395 lib/cli/args.py:411 lib/cli/args.py:423
#: lib/cli/args.py:462 lib/cli/args.py:480 lib/cli/args.py:492
#: lib/cli/args.py:683 lib/cli/args.py:710 lib/cli/args.py:748
msgid "Plugins"
msgstr ""
#: lib/cli/args.py:387
#: lib/cli/args.py:396
msgid ""
"R|Detector to use. Some of these have configurable settings in '/config/"
"extract.ini' or 'Settings > Configure Extract 'Plugins':\n"
@@ -92,7 +99,7 @@ msgid ""
"intensive."
msgstr ""
#: lib/cli/args.py:403
#: lib/cli/args.py:412
msgid ""
"R|Aligner to use.\n"
"L|cv2-dnn: A CPU only landmark detector. Faster, less resource intensive, "
@@ -100,7 +107,7 @@ msgid ""
"L|fan: Best aligner. Fast on GPU, slow on CPU."
msgstr ""
#: lib/cli/args.py:415
#: lib/cli/args.py:424
msgid ""
"R|Additional Masker(s) to use. The masks generated here will all take up GPU "
"RAM. You can select none, one or multiple masks, but the extraction may take "
@@ -135,7 +142,7 @@ msgid ""
"(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)"
msgstr ""
#: lib/cli/args.py:454
#: lib/cli/args.py:463
msgid ""
"R|Performing normalization can help the aligner better align faces with "
"difficult lighting conditions at an extraction speed cost. Different methods "
@@ -148,7 +155,7 @@ msgid ""
"L|mean: Normalize the face colors to the mean."
msgstr ""
#: lib/cli/args.py:472
#: lib/cli/args.py:481
msgid ""
"The number of times to re-feed the detected face into the aligner. Each time "
"the face is re-fed into the aligner the bounding box is adjusted by a small "
@@ -158,7 +165,7 @@ msgid ""
"occur but the longer extraction will take."
msgstr ""
#: lib/cli/args.py:484
#: lib/cli/args.py:493
msgid ""
"If a face isn't found, rotate the images to try to find a face. Can find "
"more faces at the cost of extraction speed. Pass in a single number to use "
@@ -166,19 +173,19 @@ msgid ""
"exactly what angles to check."
msgstr ""
#: lib/cli/args.py:496 lib/cli/args.py:506 lib/cli/args.py:519
#: lib/cli/args.py:533 lib/cli/args.py:776 lib/cli/args.py:790
#: lib/cli/args.py:803 lib/cli/args.py:817
#: lib/cli/args.py:505 lib/cli/args.py:515 lib/cli/args.py:528
#: lib/cli/args.py:542 lib/cli/args.py:785 lib/cli/args.py:799
#: lib/cli/args.py:812 lib/cli/args.py:826
msgid "Face Processing"
msgstr ""
#: lib/cli/args.py:497
#: lib/cli/args.py:506
msgid ""
"Filters out faces detected below this size. Length, in pixels across the "
"diagonal of the bounding box. Set to 0 for off"
msgstr ""
#: lib/cli/args.py:507 lib/cli/args.py:791
#: lib/cli/args.py:516 lib/cli/args.py:800
msgid ""
"Optionally filter out people who you do not wish to process by passing in an "
"image of that person. Should be a front portrait with a single person in the "
@@ -187,7 +194,7 @@ msgid ""
"guaranteed."
msgstr ""
#: lib/cli/args.py:520 lib/cli/args.py:804
#: lib/cli/args.py:529 lib/cli/args.py:813
msgid ""
"Optionally select people you wish to process by passing in an image of that "
"person. Should be a front portrait with a single person in the image. "
@@ -196,7 +203,7 @@ msgid ""
"guaranteed."
msgstr ""
#: lib/cli/args.py:534 lib/cli/args.py:818
#: lib/cli/args.py:543 lib/cli/args.py:827
msgid ""
"For use with the optional nfilter/filter files. Threshold for positive face "
"recognition. Lower values are stricter. NB: Using face filter will "
@@ -204,26 +211,26 @@ msgid ""
"guaranteed."
msgstr ""
#: lib/cli/args.py:545 lib/cli/args.py:557 lib/cli/args.py:569
#: lib/cli/args.py:581
#: lib/cli/args.py:554 lib/cli/args.py:566 lib/cli/args.py:578
#: lib/cli/args.py:590
msgid "output"
msgstr ""
#: lib/cli/args.py:546
#: lib/cli/args.py:555
msgid ""
"The output size of extracted faces. Make sure that the model you intend to "
"train supports your required size. This will only need to be changed for hi-"
"res models."
msgstr ""
#: lib/cli/args.py:558
#: lib/cli/args.py:567
msgid ""
"Extract every 'nth' frame. This option will skip frames when extracting "
"faces. For example a value of 1 will extract faces from every frame, a value "
"of 10 will extract faces from every 10th frame."
msgstr ""
#: lib/cli/args.py:570
#: lib/cli/args.py:579
msgid ""
"Automatically save the alignments file after a set amount of frames. By "
"default the alignments file is only saved at the end of the extraction "
@@ -233,57 +240,57 @@ msgid ""
"turn off"
msgstr ""
#: lib/cli/args.py:582
#: lib/cli/args.py:591
msgid "Draw landmarks on the ouput faces for debugging purposes."
msgstr ""
#: lib/cli/args.py:588 lib/cli/args.py:597 lib/cli/args.py:605
#: lib/cli/args.py:612 lib/cli/args.py:830 lib/cli/args.py:841
#: lib/cli/args.py:849 lib/cli/args.py:868 lib/cli/args.py:874
#: lib/cli/args.py:597 lib/cli/args.py:606 lib/cli/args.py:614
#: lib/cli/args.py:621 lib/cli/args.py:839 lib/cli/args.py:850
#: lib/cli/args.py:858 lib/cli/args.py:877 lib/cli/args.py:883
msgid "settings"
msgstr ""
#: lib/cli/args.py:589
#: lib/cli/args.py:598
msgid ""
"Don't run extraction in parallel. Will run each part of the extraction "
"process separately (one after the other) rather than all at the smae time. "
"Useful if VRAM is at a premium."
msgstr ""
#: lib/cli/args.py:598
#: lib/cli/args.py:607
msgid ""
"Skips frames that have already been extracted and exist in the alignments "
"file"
msgstr ""
#: lib/cli/args.py:606
#: lib/cli/args.py:615
msgid "Skip frames that already have detected faces in the alignments file"
msgstr ""
#: lib/cli/args.py:613
#: lib/cli/args.py:622
msgid "Skip saving the detected faces to disk. Just create an alignments file"
msgstr ""
#: lib/cli/args.py:635
#: lib/cli/args.py:644
msgid ""
"Swap the original faces in a source video/images to your final faces.\n"
"Conversion plugins can be configured in the 'Settings' Menu"
msgstr ""
#: lib/cli/args.py:656
#: lib/cli/args.py:665
msgid ""
"Only required if converting from images to video. Provide The original video "
"that the source frames were extracted from (for extracting the fps and "
"audio)."
msgstr ""
#: lib/cli/args.py:665
#: lib/cli/args.py:674
msgid ""
"Model directory. The directory containing the trained model you wish to use "
"for conversion."
msgstr ""
#: lib/cli/args.py:675
#: lib/cli/args.py:684
msgid ""
"R|Performs color adjustment to the swapped face. Some of these options have "
"configurable settings in '/config/convert.ini' or 'Settings > Configure "
@@ -304,7 +311,7 @@ msgid ""
"L|none: Don't perform color adjustment."
msgstr ""
#: lib/cli/args.py:702
#: lib/cli/args.py:711
msgid ""
"R|Masker to use. NB: The mask you require must exist within the alignments "
"file. You can add additional masks with the Mask Tool.\n"
@@ -341,7 +348,7 @@ msgid ""
"will use the mask that was created by the trained model."
msgstr ""
#: lib/cli/args.py:740
#: lib/cli/args.py:749
msgid ""
"R|The plugin to use to output the converted images. The writers are "
"configurable in '/config/convert.ini' or 'Settings > Configure Convert "
@@ -356,18 +363,18 @@ msgid ""
"more formats."
msgstr ""
#: lib/cli/args.py:759 lib/cli/args.py:766 lib/cli/args.py:860
#: lib/cli/args.py:768 lib/cli/args.py:775 lib/cli/args.py:869
msgid "Frame Processing"
msgstr ""
#: lib/cli/args.py:760
#: lib/cli/args.py:769
#, python-format
msgid ""
"Scale the final output frames by this amount. 100%% will output the frames "
"at source dimensions. 50%% at half size 200%% at double size"
msgstr ""
#: lib/cli/args.py:767
#: lib/cli/args.py:776
msgid ""
"Frame ranges to apply transfer to e.g. For frames 10 to 50 and 90 to 100 use "
"--frame-ranges 10-50 90-100. Frames falling outside of the selected range "
@@ -375,7 +382,7 @@ msgid ""
"converting from images, then the filenames must end with the frame-number!"
msgstr ""
#: lib/cli/args.py:777
#: lib/cli/args.py:786
msgid ""
"If you have not cleansed your alignments file, then you can filter out faces "
"by defining a folder here that contains the faces extracted from your input "
@@ -385,7 +392,7 @@ msgid ""
"alignments file."
msgstr ""
#: lib/cli/args.py:831
#: lib/cli/args.py:840
msgid ""
"The maximum number of parallel processes for performing conversion. "
"Converting images is system RAM heavy so it is possible to run out of memory "
@@ -395,13 +402,13 @@ msgid ""
"your system. If singleprocess is enabled this setting will be ignored."
msgstr ""
#: lib/cli/args.py:842
#: lib/cli/args.py:851
msgid ""
"[LEGACY] This only needs to be selected if a legacy model is being loaded or "
"if there are multiple models in the model folder"
msgstr ""
#: lib/cli/args.py:850
#: lib/cli/args.py:859
msgid ""
"Enable On-The-Fly Conversion. NOT recommended. You should generate a clean "
"alignments file for your destination video. However, if you wish you can "
@@ -410,51 +417,51 @@ msgid ""
"alignments file is found, this option will be ignored."
msgstr ""
#: lib/cli/args.py:861
#: lib/cli/args.py:870
msgid ""
"When used with --frame-ranges outputs the unchanged frames that are not "
"processed instead of discarding them."
msgstr ""
#: lib/cli/args.py:869
#: lib/cli/args.py:878
msgid "Swap the model. Instead converting from of A -> B, converts B -> A"
msgstr ""
#: lib/cli/args.py:875
#: lib/cli/args.py:884
msgid "Disable multiprocessing. Slower but less resource intensive."
msgstr ""
#: lib/cli/args.py:891
#: lib/cli/args.py:900
msgid ""
"Train a model on extracted original (A) and swap (B) faces.\n"
"Training models can take a long time. Anything from 24hrs to over a week\n"
"Model plugins can be configured in the 'Settings' Menu"
msgstr ""
#: lib/cli/args.py:910 lib/cli/args.py:919
#: lib/cli/args.py:919 lib/cli/args.py:928
msgid "faces"
msgstr ""
#: lib/cli/args.py:911
#: lib/cli/args.py:920
msgid ""
"Input directory. A directory containing training images for face A. This is "
"the original face, i.e. the face that you want to remove and replace with "
"face B."
msgstr ""
#: lib/cli/args.py:920
#: lib/cli/args.py:929
msgid ""
"Input directory. A directory containing training images for face B. This is "
"the swap face, i.e. the face that you want to place onto the head of person "
"A."
msgstr ""
#: lib/cli/args.py:928 lib/cli/args.py:940 lib/cli/args.py:956
#: lib/cli/args.py:981 lib/cli/args.py:991
#: lib/cli/args.py:937 lib/cli/args.py:949 lib/cli/args.py:965
#: lib/cli/args.py:990 lib/cli/args.py:1000
msgid "model"
msgstr ""
#: lib/cli/args.py:929
#: lib/cli/args.py:938
msgid ""
"Model directory. This is where the training data will be stored. You should "
"always specify a new folder for new models. If starting a new model, select "
@@ -463,7 +470,7 @@ msgid ""
"the existing model."
msgstr ""
#: lib/cli/args.py:941
#: lib/cli/args.py:950
msgid ""
"R|Load the weights from a pre-existing model into a newly created model. For "
"most models this will load weights from the Encoder of the given model into "
@@ -477,7 +484,7 @@ msgid ""
"to train."
msgstr ""
#: lib/cli/args.py:957
#: lib/cli/args.py:966
msgid ""
"R|Select which trainer to use. Trainers can be configured from the Settings "
"menu or the config folder.\n"
@@ -500,7 +507,7 @@ msgid ""
"susceptible to color differences."
msgstr ""
#: lib/cli/args.py:982
#: lib/cli/args.py:991
msgid ""
"Output a summary of the model and exit. If a model folder is provided then a "
"summary of the saved model is displayed. Otherwise a summary of the model "
@@ -508,7 +515,7 @@ msgid ""
"displayed."
msgstr ""
#: lib/cli/args.py:992
#: lib/cli/args.py:1001
msgid ""
"Freeze the weights of the model. Freezing weights means that some of the "
"parameters in the model will no longer continue to learn, but those that are "
@@ -517,12 +524,12 @@ msgid ""
"layers."
msgstr ""
#: lib/cli/args.py:1005 lib/cli/args.py:1017 lib/cli/args.py:1028
#: lib/cli/args.py:1039 lib/cli/args.py:1122
#: lib/cli/args.py:1014 lib/cli/args.py:1026 lib/cli/args.py:1037
#: lib/cli/args.py:1048 lib/cli/args.py:1131
msgid "training"
msgstr ""
#: lib/cli/args.py:1006
#: lib/cli/args.py:1015
msgid ""
"Batch size. This is the number of images processed through the model for "
"each side per iteration. NB: As the model is fed 2 sides at a time, the "
@@ -530,7 +537,7 @@ msgid ""
"number that you set here. Larger batches require more GPU RAM."
msgstr ""
#: lib/cli/args.py:1018
#: lib/cli/args.py:1027
msgid ""
"Length of training in iterations. This is only really used for automation. "
"There is no 'correct' number of iterations a model should be trained for. "
@@ -539,13 +546,13 @@ msgid ""
"can set that value here."
msgstr ""
#: lib/cli/args.py:1029
#: lib/cli/args.py:1038
msgid ""
"[Deprecated - Use '-D, --distribution-strategy' instead] Use the Tensorflow "
"Mirrored Distrubution Strategy to train on multiple GPUs."
msgstr ""
#: lib/cli/args.py:1040
#: lib/cli/args.py:1049
msgid ""
"R|Select the distribution stategy to use.\n"
"L|default: Use Tensorflow's default distribution strategy.\n"
@@ -558,25 +565,25 @@ msgid ""
"batches distributed to each GPU at each iteration."
msgstr ""
#: lib/cli/args.py:1057 lib/cli/args.py:1067
#: lib/cli/args.py:1066 lib/cli/args.py:1076
msgid "Saving"
msgstr ""
#: lib/cli/args.py:1058
#: lib/cli/args.py:1067
msgid "Sets the number of iterations between each model save."
msgstr ""
#: lib/cli/args.py:1068
#: lib/cli/args.py:1077
msgid ""
"Sets the number of iterations before saving a backup snapshot of the model "
"in it's current state. Set to 0 for off."
msgstr ""
#: lib/cli/args.py:1075 lib/cli/args.py:1086 lib/cli/args.py:1097
#: lib/cli/args.py:1084 lib/cli/args.py:1095 lib/cli/args.py:1106
msgid "timelapse"
msgstr ""
#: lib/cli/args.py:1076
#: lib/cli/args.py:1085
msgid ""
"Optional for creating a timelapse. Timelapse will save an image of your "
"selected faces into the timelapse-output folder at every save iteration. "
@@ -585,7 +592,7 @@ msgid ""
"timelapse-input-B parameter."
msgstr ""
#: lib/cli/args.py:1087
#: lib/cli/args.py:1096
msgid ""
"Optional for creating a timelapse. Timelapse will save an image of your "
"selected faces into the timelapse-output folder at every save iteration. "
@@ -594,7 +601,7 @@ msgid ""
"timelapse-input-A parameter."
msgstr ""
#: lib/cli/args.py:1098
#: lib/cli/args.py:1107
msgid ""
"Optional for creating a timelapse. Timelapse will save an image of your "
"selected faces into the timelapse-output folder at every save iteration. If "
@@ -602,53 +609,53 @@ msgid ""
"model folder /timelapse/"
msgstr ""
#: lib/cli/args.py:1107 lib/cli/args.py:1114
#: lib/cli/args.py:1116 lib/cli/args.py:1123
msgid "preview"
msgstr ""
#: lib/cli/args.py:1108
#: lib/cli/args.py:1117
msgid "Show training preview output. in a separate window."
msgstr ""
#: lib/cli/args.py:1115
#: lib/cli/args.py:1124
msgid ""
"Writes the training result to a file. The image will be stored in the root "
"of your FaceSwap folder."
msgstr ""
#: lib/cli/args.py:1123
#: lib/cli/args.py:1132
msgid ""
"Disables TensorBoard logging. NB: Disabling logs means that you will not be "
"able to use the graph or analysis for this session in the GUI."
msgstr ""
#: lib/cli/args.py:1130 lib/cli/args.py:1139 lib/cli/args.py:1148
#: lib/cli/args.py:1157
#: lib/cli/args.py:1139 lib/cli/args.py:1148 lib/cli/args.py:1157
#: lib/cli/args.py:1166
msgid "augmentation"
msgstr ""
#: lib/cli/args.py:1131
#: lib/cli/args.py:1140
msgid ""
"Warps training faces to closely matched Landmarks from the opposite face-set "
"rather than randomly warping the face. This is the 'dfaker' way of doing "
"warping."
msgstr ""
#: lib/cli/args.py:1140
#: lib/cli/args.py:1149
msgid ""
"To effectively learn, a random set of images are flipped horizontally. "
"Sometimes it is desirable for this not to occur. Generally this should be "
"left off except for during 'fit training'."
msgstr ""
#: lib/cli/args.py:1149
#: lib/cli/args.py:1158
msgid ""
"Color augmentation helps make the model less susceptible to color "
"differences between the A and B sets, at an increased training time cost. "
"Enable this option to disable color augmentation."
msgstr ""
#: lib/cli/args.py:1158
#: lib/cli/args.py:1167
msgid ""
"Warping is integral to training the Neural Network. This option should only "
"be enabled towards the very end of training to try to bring out more detail. "
@@ -656,6 +663,6 @@ msgid ""
"likely to kill a model and lead to terrible results."
msgstr ""
#: lib/cli/args.py:1183
#: lib/cli/args.py:1192
msgid "Output to Shell console instead of GUI console"
msgstr ""

BIN
locales/ru/LC_MESSAGES/lib.cli.args.mo
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188
locales/ru/LC_MESSAGES/lib.cli.args.po
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@@ -6,8 +6,8 @@ msgid ""
msgstr ""
"Project-Id-Version: \n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2022-08-05 13:58+0100\n"
"PO-Revision-Date: 2022-08-05 14:07+0100\n"
"POT-Creation-Date: 2022-08-31 19:19+0100\n"
"PO-Revision-Date: 2022-08-31 19:22+0100\n"
"Last-Translator: \n"
"Language-Team: \n"
"Language: ru\n"
@@ -58,7 +58,7 @@ msgstr ""
"с faceswap"
#: lib/cli/args.py:320 lib/cli/args.py:329 lib/cli/args.py:337
#: lib/cli/args.py:655 lib/cli/args.py:664
#: lib/cli/args.py:385 lib/cli/args.py:664 lib/cli/args.py:673
msgid "Data"
msgstr "Данные"
@@ -90,13 +90,23 @@ msgstr ""
"Извлечь лица из изображений или видео источников.\n"
"Плагины извлечения можно настроить в меню 'Настройки'"
#: lib/cli/args.py:386 lib/cli/args.py:402 lib/cli/args.py:414
#: lib/cli/args.py:453 lib/cli/args.py:471 lib/cli/args.py:483
#: lib/cli/args.py:674 lib/cli/args.py:701 lib/cli/args.py:739
#: lib/cli/args.py:386
msgid ""
"R|If selected then the input_dir should be a parent folder containing "
"multiple videos and/or folders of images you wish to extract from. The faces "
"will be output to separate sub-folders in the output_dir."
msgstr ""
"R|Если выбрано, то input_dir должна быть родительской папкой, содержащей "
"несколько видео и/или папок изображений, из которых вы хотите извлечь. Лица "
"будут выводиться в отдельные подпапки в output_dir."
#: lib/cli/args.py:395 lib/cli/args.py:411 lib/cli/args.py:423
#: lib/cli/args.py:462 lib/cli/args.py:480 lib/cli/args.py:492
#: lib/cli/args.py:683 lib/cli/args.py:710 lib/cli/args.py:748
msgid "Plugins"
msgstr "Плагины"
#: lib/cli/args.py:387
#: lib/cli/args.py:396
msgid ""
"R|Detector to use. Some of these have configurable settings in '/config/"
"extract.ini' or 'Settings > Configure Extract 'Plugins':\n"
@@ -120,7 +130,7 @@ msgstr ""
"детектировать лицо в большем кол-ве ситуация и меньшим кол-вом ошибок, чем "
"другие GPU, но значительно более требователен к ресурсам."
#: lib/cli/args.py:403
#: lib/cli/args.py:412
msgid ""
"R|Aligner to use.\n"
"L|cv2-dnn: A CPU only landmark detector. Faster, less resource intensive, "
@@ -133,7 +143,7 @@ msgstr ""
"использовать GPU.\n"
"L|fan: Лучший выравниватель. Быстрый на GPU, медленный на CPU."
#: lib/cli/args.py:415
#: lib/cli/args.py:424
msgid ""
"R|Additional Masker(s) to use. The masks generated here will all take up GPU "
"RAM. You can select none, one or multiple masks, but the extraction may take "
@@ -199,7 +209,7 @@ msgstr ""
"ориентиров лица и расширяется вверх на лоб.\n"
"(пример: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)"
#: lib/cli/args.py:454
#: lib/cli/args.py:463
msgid ""
"R|Performing normalization can help the aligner better align faces with "
"difficult lighting conditions at an extraction speed cost. Different methods "
@@ -220,7 +230,7 @@ msgstr ""
"L|hist: Выравнивание гистограммы каналов RGB каналов.\n"
"L|mean: Усреднение цветов лица."
#: lib/cli/args.py:472
#: lib/cli/args.py:481
msgid ""
"The number of times to re-feed the detected face into the aligner. Each time "
"the face is re-fed into the aligner the bounding box is adjusted by a small "
@@ -235,7 +245,7 @@ msgstr ""
"замедления скорости извлечения. Чем больше проходов выравнивания, тем меньше "
"микродрожание, но тем дольше идет извлечение."
#: lib/cli/args.py:484
#: lib/cli/args.py:493
msgid ""
"If a face isn't found, rotate the images to try to find a face. Can find "
"more faces at the cost of extraction speed. Pass in a single number to use "
@@ -247,13 +257,13 @@ msgstr ""
"использовать приращения этого размера до 360, либо передайте список чисел, "
"чтобы точно указать, какие углы проверять."
#: lib/cli/args.py:496 lib/cli/args.py:506 lib/cli/args.py:519
#: lib/cli/args.py:533 lib/cli/args.py:776 lib/cli/args.py:790
#: lib/cli/args.py:803 lib/cli/args.py:817
#: lib/cli/args.py:505 lib/cli/args.py:515 lib/cli/args.py:528
#: lib/cli/args.py:542 lib/cli/args.py:785 lib/cli/args.py:799
#: lib/cli/args.py:812 lib/cli/args.py:826
msgid "Face Processing"
msgstr "Обработка лиц"
#: lib/cli/args.py:497
#: lib/cli/args.py:506
msgid ""
"Filters out faces detected below this size. Length, in pixels across the "
"diagonal of the bounding box. Set to 0 for off"
@@ -261,7 +271,7 @@ msgstr ""
"Отбрасывает лица ниже указанного размера. Длина указывается в пикселях по "
"диагонали. Установите в 0 для отключения"
#: lib/cli/args.py:507 lib/cli/args.py:791
#: lib/cli/args.py:516 lib/cli/args.py:800
msgid ""
"Optionally filter out people who you do not wish to process by passing in an "
"image of that person. Should be a front portrait with a single person in the "
@@ -275,7 +285,7 @@ msgstr ""
"пробел. Прим.: Фильтрация лиц существенно снижает скорость извлечения, при "
"этом точность не гарантируется."
#: lib/cli/args.py:520 lib/cli/args.py:804
#: lib/cli/args.py:529 lib/cli/args.py:813
msgid ""
"Optionally select people you wish to process by passing in an image of that "
"person. Should be a front portrait with a single person in the image. "
@@ -289,7 +299,7 @@ msgstr ""
"изображений через пробел. Прим.: Использование фильтра существенно замедлит "
"скорость извлечения. Также точность не гарантируется."
#: lib/cli/args.py:534 lib/cli/args.py:818
#: lib/cli/args.py:543 lib/cli/args.py:827
msgid ""
"For use with the optional nfilter/filter files. Threshold for positive face "
"recognition. Lower values are stricter. NB: Using face filter will "
@@ -300,12 +310,12 @@ msgstr ""
"лица. Чем ниже значения, тем строже. Прим.: Использование фильтра лиц "
"существенно замедлит скорость извлечения. Также точность не гарантируется."
#: lib/cli/args.py:545 lib/cli/args.py:557 lib/cli/args.py:569
#: lib/cli/args.py:581
#: lib/cli/args.py:554 lib/cli/args.py:566 lib/cli/args.py:578
#: lib/cli/args.py:590
msgid "output"
msgstr "вывод"
#: lib/cli/args.py:546
#: lib/cli/args.py:555
msgid ""
"The output size of extracted faces. Make sure that the model you intend to "
"train supports your required size. This will only need to be changed for hi-"
@@ -315,7 +325,7 @@ msgstr ""
"поддерживает такой входной размер. Стоит изменять только для моделей "
"высокого разрешения."
#: lib/cli/args.py:558
#: lib/cli/args.py:567
msgid ""
"Extract every 'nth' frame. This option will skip frames when extracting "
"faces. For example a value of 1 will extract faces from every frame, a value "
@@ -325,7 +335,7 @@ msgstr ""
"извлечении. Например, значение 1 будет искать лица в каждом кадре, а "
"значение 10 в каждом 10том кадре."
#: lib/cli/args.py:570
#: lib/cli/args.py:579
msgid ""
"Automatically save the alignments file after a set amount of frames. By "
"default the alignments file is only saved at the end of the extraction "
@@ -340,17 +350,17 @@ msgstr ""
"только во время второго прохода. ВНИМАНИЕ: Не прерывайте выполнение во время "
"записи, так как это может повлечь порчу файла. Установите в 0 для выключения"
#: lib/cli/args.py:582
#: lib/cli/args.py:591
msgid "Draw landmarks on the ouput faces for debugging purposes."
msgstr "Рисовать ландмарки на выходных лицах для нужд отладки."
#: lib/cli/args.py:588 lib/cli/args.py:597 lib/cli/args.py:605
#: lib/cli/args.py:612 lib/cli/args.py:830 lib/cli/args.py:841
#: lib/cli/args.py:849 lib/cli/args.py:868 lib/cli/args.py:874
#: lib/cli/args.py:597 lib/cli/args.py:606 lib/cli/args.py:614
#: lib/cli/args.py:621 lib/cli/args.py:839 lib/cli/args.py:850
#: lib/cli/args.py:858 lib/cli/args.py:877 lib/cli/args.py:883
msgid "settings"
msgstr "настройки"
#: lib/cli/args.py:589
#: lib/cli/args.py:598
msgid ""
"Don't run extraction in parallel. Will run each part of the extraction "
"process separately (one after the other) rather than all at the smae time. "
@@ -360,7 +370,7 @@ msgstr ""
"стадия извлечения будет запущена отдельно (одна, за другой). Полезно при "
"нехватке VRAM."
#: lib/cli/args.py:598
#: lib/cli/args.py:607
msgid ""
"Skips frames that have already been extracted and exist in the alignments "
"file"
@@ -368,16 +378,16 @@ msgstr ""
"Пропускать кадры, которые уже были извлечены и существуют в файле "
"выравнивания"
#: lib/cli/args.py:606
#: lib/cli/args.py:615
msgid "Skip frames that already have detected faces in the alignments file"
msgstr "Пропускать кадры, для которых в файле выравнивания есть найденные лица"
#: lib/cli/args.py:613
#: lib/cli/args.py:622
msgid "Skip saving the detected faces to disk. Just create an alignments file"
msgstr ""
"Не сохранять найденные лица на носитель. Просто создать файл выравнивания"
#: lib/cli/args.py:635
#: lib/cli/args.py:644
msgid ""
"Swap the original faces in a source video/images to your final faces.\n"
"Conversion plugins can be configured in the 'Settings' Menu"
@@ -385,7 +395,7 @@ msgstr ""
"Заменить оригиналы лица в исходном видео/фотографиях новыми.\n"
"Плагины конвертации могут быть настроены в меню 'Настройки'"
#: lib/cli/args.py:656
#: lib/cli/args.py:665
msgid ""
"Only required if converting from images to video. Provide The original video "
"that the source frames were extracted from (for extracting the fps and "
@@ -395,7 +405,7 @@ msgstr ""
"Предоставьте исходное видео, из которого были извлечены кадры (для настройки "
"частоты кадров, а также аудио)."
#: lib/cli/args.py:665
#: lib/cli/args.py:674
msgid ""
"Model directory. The directory containing the trained model you wish to use "
"for conversion."
@@ -403,7 +413,7 @@ msgstr ""
"Папка с моделью. Папка, содержащая обученную модель, которую вы хотите "
"использовать для преобразования."
#: lib/cli/args.py:675
#: lib/cli/args.py:684
msgid ""
"R|Performs color adjustment to the swapped face. Some of these options have "
"configurable settings in '/config/convert.ini' or 'Settings > Configure "
@@ -442,7 +452,7 @@ msgstr ""
"дает удовлетворительных результатов.\n"
"L|none: Не производить подгонку цвета."
#: lib/cli/args.py:702
#: lib/cli/args.py:711
msgid ""
"R|Masker to use. NB: The mask you require must exist within the alignments "
"file. You can add additional masks with the Mask Tool.\n"
@@ -511,7 +521,7 @@ msgstr ""
"L| predicted: Если во время обучения была включена опция «Learn Mask», будет "
"использоваться маска, созданная обученной моделью."
#: lib/cli/args.py:740
#: lib/cli/args.py:749
msgid ""
"R|The plugin to use to output the converted images. The writers are "
"configurable in '/config/convert.ini' or 'Settings > Configure Convert "
@@ -537,11 +547,11 @@ msgstr ""
"L|pillow: [изображения] Более медленный, чем opencv, но имеет больше опций и "
"поддерживает больше форматов."
#: lib/cli/args.py:759 lib/cli/args.py:766 lib/cli/args.py:860
#: lib/cli/args.py:768 lib/cli/args.py:775 lib/cli/args.py:869
msgid "Frame Processing"
msgstr "Обработка кадров"
#: lib/cli/args.py:760
#: lib/cli/args.py:769
#, python-format
msgid ""
"Scale the final output frames by this amount. 100%% will output the frames "
@@ -551,7 +561,7 @@ msgstr ""
"кадры в исходном размере. 50%% половина от размера, а 200%% в удвоенном "
"размере"
#: lib/cli/args.py:767
#: lib/cli/args.py:776
msgid ""
"Frame ranges to apply transfer to e.g. For frames 10 to 50 and 90 to 100 use "
"--frame-ranges 10-50 90-100. Frames falling outside of the selected range "
@@ -564,7 +574,7 @@ msgstr ""
"unchanged). Прим.: Если при конверсии используются изображения, то имена "
"файлов должны заканчиваться номером кадра!"
#: lib/cli/args.py:777
#: lib/cli/args.py:786
msgid ""
"If you have not cleansed your alignments file, then you can filter out faces "
"by defining a folder here that contains the faces extracted from your input "
@@ -580,7 +590,7 @@ msgstr ""
"Если оставить это поле пустым, то все лица, которые существуют в файле "
"выравниваний будут сконвертированы."
#: lib/cli/args.py:831
#: lib/cli/args.py:840
msgid ""
"The maximum number of parallel processes for performing conversion. "
"Converting images is system RAM heavy so it is possible to run out of memory "
@@ -597,7 +607,7 @@ msgstr ""
"будет использоваться больше процессов, чем доступно в вашей системе. Если "
"включен одиночный процесс, этот параметр будет проигнорирован."
#: lib/cli/args.py:842
#: lib/cli/args.py:851
msgid ""
"[LEGACY] This only needs to be selected if a legacy model is being loaded or "
"if there are multiple models in the model folder"
@@ -605,7 +615,7 @@ msgstr ""
"[СОВМЕСТИМОСТЬ] Это нужно выбирать только в том случае, если загружается "
"устаревшая модель или если в папке сохранения есть несколько моделей"
#: lib/cli/args.py:850
#: lib/cli/args.py:859
msgid ""
"Enable On-The-Fly Conversion. NOT recommended. You should generate a clean "
"alignments file for your destination video. However, if you wish you can "
@@ -619,7 +629,7 @@ msgstr ""
"использованию улучшенного конвейера экстракции и некачественных результатов. "
"Если файл выравниваний найден, этот параметр будет проигнорирован."
#: lib/cli/args.py:861
#: lib/cli/args.py:870
msgid ""
"When used with --frame-ranges outputs the unchanged frames that are not "
"processed instead of discarding them."
@@ -627,16 +637,16 @@ msgstr ""
"При использовании с --frame-range кадры не попавшие в диапазон выводятся "
"неизменными, вместо их пропуска."
#: lib/cli/args.py:869
#: lib/cli/args.py:878
msgid "Swap the model. Instead converting from of A -> B, converts B -> A"
msgstr ""
"Поменять модели местами. Вместо преобразования из A -> B, преобразует B -> A"
#: lib/cli/args.py:875
#: lib/cli/args.py:884
msgid "Disable multiprocessing. Slower but less resource intensive."
msgstr "Отключить многопроцессорность. Медленнее, но менее ресурсоемко."
#: lib/cli/args.py:891
#: lib/cli/args.py:900
msgid ""
"Train a model on extracted original (A) and swap (B) faces.\n"
"Training models can take a long time. Anything from 24hrs to over a week\n"
@@ -647,11 +657,11 @@ msgstr ""
"Обучение моделей может занять долгое время: от 24 часов до недели\n"
"Каждую модель можно отдельно настроить в меню «Настройки»"
#: lib/cli/args.py:910 lib/cli/args.py:919
#: lib/cli/args.py:919 lib/cli/args.py:928
msgid "faces"
msgstr "лица"
#: lib/cli/args.py:911
#: lib/cli/args.py:920
msgid ""
"Input directory. A directory containing training images for face A. This is "
"the original face, i.e. the face that you want to remove and replace with "
@@ -660,7 +670,7 @@ msgstr ""
"Входная папка. Папка содержащая изображения для тренировки лица A. Это "
"исходное лицо т.е. лицо, которое вы хотите убрать, заменив лицом B."
#: lib/cli/args.py:920
#: lib/cli/args.py:929
msgid ""
"Input directory. A directory containing training images for face B. This is "
"the swap face, i.e. the face that you want to place onto the head of person "
@@ -669,12 +679,12 @@ msgstr ""
"Входная папка. Папка содержащая изображения для тренировки лица B. Это новое "
"лицо т.е. лицо, которое вы хотите поместить на голову человека A."
#: lib/cli/args.py:928 lib/cli/args.py:940 lib/cli/args.py:956
#: lib/cli/args.py:981 lib/cli/args.py:991
#: lib/cli/args.py:937 lib/cli/args.py:949 lib/cli/args.py:965
#: lib/cli/args.py:990 lib/cli/args.py:1000
msgid "model"
msgstr "модель"
#: lib/cli/args.py:929
#: lib/cli/args.py:938
msgid ""
"Model directory. This is where the training data will be stored. You should "
"always specify a new folder for new models. If starting a new model, select "
@@ -688,7 +698,7 @@ msgstr ""
"будет создана). Если вы хотите продолжить тренировку, выберите папку с уже "
"существующими сохранениями."
#: lib/cli/args.py:941
#: lib/cli/args.py:950
msgid ""
"R|Load the weights from a pre-existing model into a newly created model. For "
"most models this will load weights from the Encoder of the given model into "
@@ -712,7 +722,7 @@ msgstr ""
"NB: Вес можно загружать только из моделей того же плагина, который вы "
"собираетесь тренировать."
#: lib/cli/args.py:957
#: lib/cli/args.py:966
msgid ""
"R|Select which trainer to use. Trainers can be configured from the Settings "
"menu or the config folder.\n"
@@ -758,7 +768,7 @@ msgstr ""
"ресурсам (Вам потребуется GPU с хорошим количеством видеопамяти). Хороша для "
"деталей, но подвержена к неправильной передаче цвета."
#: lib/cli/args.py:982
#: lib/cli/args.py:991
msgid ""
"Output a summary of the model and exit. If a model folder is provided then a "
"summary of the saved model is displayed. Otherwise a summary of the model "
@@ -770,7 +780,7 @@ msgstr ""
"сводная информация о модели, которая будет создана выбранным плагином, и "
"параметрами конфигурации."
#: lib/cli/args.py:992
#: lib/cli/args.py:1001
msgid ""
"Freeze the weights of the model. Freezing weights means that some of the "
"parameters in the model will no longer continue to learn, but those that are "
@@ -784,12 +794,12 @@ msgstr ""
"некоторые модели могут иметь параметры конфигурации для замораживания других "
"слоев."
#: lib/cli/args.py:1005 lib/cli/args.py:1017 lib/cli/args.py:1028
#: lib/cli/args.py:1039 lib/cli/args.py:1122
#: lib/cli/args.py:1014 lib/cli/args.py:1026 lib/cli/args.py:1037
#: lib/cli/args.py:1048 lib/cli/args.py:1131
msgid "training"
msgstr "тренировка"
#: lib/cli/args.py:1006
#: lib/cli/args.py:1015
msgid ""
"Batch size. This is the number of images processed through the model for "
"each side per iteration. NB: As the model is fed 2 sides at a time, the "
@@ -802,7 +812,7 @@ msgstr ""
"изображений в два раза больше этого числа. Увеличение размера партии требует "
"больше памяти GPU."
#: lib/cli/args.py:1018
#: lib/cli/args.py:1027
msgid ""
"Length of training in iterations. This is only really used for automation. "
"There is no 'correct' number of iterations a model should be trained for. "
@@ -816,7 +826,7 @@ msgstr ""
"Однако, если вы хотите, чтобы тренировка прервалась после указанного кол-ва "
"итерация, вы можете ввести это здесь."
#: lib/cli/args.py:1029
#: lib/cli/args.py:1038
msgid ""
"[Deprecated - Use '-D, --distribution-strategy' instead] Use the Tensorflow "
"Mirrored Distrubution Strategy to train on multiple GPUs."
@@ -825,7 +835,7 @@ msgstr ""
"Используйте стратегию зеркального распространения Tensorflow для обучения на "
"нескольких графических процессорах."
#: lib/cli/args.py:1040
#: lib/cli/args.py:1049
msgid ""
"R|Select the distribution stategy to use.\n"
"L|default: Use Tensorflow's default distribution strategy.\n"
@@ -837,16 +847,28 @@ msgid ""
"GPUs. A copy of the model and all variables are loaded onto each GPU with "
"batches distributed to each GPU at each iteration."
msgstr ""
"R|Выберите стратегию распределения для использования.\n"
"L|default: использовать стратегию распространения Tensorflow по умолчанию.\n"
"L|central-storage: централизует переменные в ЦП, в то время как операции "
"выполняются на 1 или нескольких локальных графических процессорах. Это может "
"помочь сэкономить часть видеопамяти за счет некоторой скорости за счет "
"отказа от хранения переменных в графическом процессоре. Примечание. "
"Смешанная точность не поддерживается в конфигурациях с несколькими "
"графическими процессорами.\n"
"L|mirrored: поддерживает синхронное распределенное обучение на нескольких "
"локальных графических процессорах. Копия модели и все переменные загружаются "
"в каждый GPU, причем пакеты распределяются между каждым GPU на каждой "
"итерации."
#: lib/cli/args.py:1057 lib/cli/args.py:1067
#: lib/cli/args.py:1066 lib/cli/args.py:1076
msgid "Saving"
msgstr "Сохранение"
#: lib/cli/args.py:1058
#: lib/cli/args.py:1067
msgid "Sets the number of iterations between each model save."
msgstr "Установка количества итераций между сохранениями модели."
#: lib/cli/args.py:1068
#: lib/cli/args.py:1077
msgid ""
"Sets the number of iterations before saving a backup snapshot of the model "
"in it's current state. Set to 0 for off."
@@ -854,11 +876,11 @@ msgstr ""
"Устанавливает кол-во итераций перед созданием резервной копии модели. "
"Установите в 0 для отключения."
#: lib/cli/args.py:1075 lib/cli/args.py:1086 lib/cli/args.py:1097
#: lib/cli/args.py:1084 lib/cli/args.py:1095 lib/cli/args.py:1106
msgid "timelapse"
msgstr "таймлапс"
#: lib/cli/args.py:1076
#: lib/cli/args.py:1085
msgid ""
"Optional for creating a timelapse. Timelapse will save an image of your "
"selected faces into the timelapse-output folder at every save iteration. "
@@ -871,7 +893,7 @@ msgstr ""
"папку лиц набора 'A' для использования при создании таймлапса. Вам также "
"нужно указать параметры--timelapse-output и --timelapse-input-B."
#: lib/cli/args.py:1087
#: lib/cli/args.py:1096
msgid ""
"Optional for creating a timelapse. Timelapse will save an image of your "
"selected faces into the timelapse-output folder at every save iteration. "
@@ -885,7 +907,7 @@ msgstr ""
"таймлапса. Вы также должны указать параметр --timelapse-output и --timelapse-"
"input-A."
#: lib/cli/args.py:1098
#: lib/cli/args.py:1107
msgid ""
"Optional for creating a timelapse. Timelapse will save an image of your "
"selected faces into the timelapse-output folder at every save iteration. If "
@@ -897,15 +919,15 @@ msgstr ""
"указаны только входные папки, то по умолчанию вывод будет сохранен вместе с "
"моделью в подкаталог /timelapse/"
#: lib/cli/args.py:1107 lib/cli/args.py:1114
#: lib/cli/args.py:1116 lib/cli/args.py:1123
msgid "preview"
msgstr "предварительный просмотр"
#: lib/cli/args.py:1108
#: lib/cli/args.py:1117
msgid "Show training preview output. in a separate window."
msgstr "Показывать предварительный просмотр в отдельном окне."
#: lib/cli/args.py:1115
#: lib/cli/args.py:1124
msgid ""
"Writes the training result to a file. The image will be stored in the root "
"of your FaceSwap folder."
@@ -913,7 +935,7 @@ msgstr ""
"Записывает результат тренировки в файл. Файл будет сохранен в коренной папке "
"FaceSwap."
#: lib/cli/args.py:1123
#: lib/cli/args.py:1132
msgid ""
"Disables TensorBoard logging. NB: Disabling logs means that you will not be "
"able to use the graph or analysis for this session in the GUI."
@@ -921,12 +943,12 @@ msgstr ""
"Отключает журнал TensorBoard. Примечание: Отключение журналов означает, что "
"вы не сможете использовать графики или анализ сессии внутри GUI."
#: lib/cli/args.py:1130 lib/cli/args.py:1139 lib/cli/args.py:1148
#: lib/cli/args.py:1157
#: lib/cli/args.py:1139 lib/cli/args.py:1148 lib/cli/args.py:1157
#: lib/cli/args.py:1166
msgid "augmentation"
msgstr "аугментация"
#: lib/cli/args.py:1131
#: lib/cli/args.py:1140
msgid ""
"Warps training faces to closely matched Landmarks from the opposite face-set "
"rather than randomly warping the face. This is the 'dfaker' way of doing "
@@ -936,7 +958,7 @@ msgstr ""
"Ориентирами/Landmarks противоположного набора лиц. Этот способ используется "
"пакетом \"dfaker\"."
#: lib/cli/args.py:1140
#: lib/cli/args.py:1149
msgid ""
"To effectively learn, a random set of images are flipped horizontally. "
"Sometimes it is desirable for this not to occur. Generally this should be "
@@ -947,7 +969,7 @@ msgstr ""
"происходило. Как правило, эту настройку не стоит трогать, за исключением "
"периода «финальной шлифовки»."
#: lib/cli/args.py:1149
#: lib/cli/args.py:1158
msgid ""
"Color augmentation helps make the model less susceptible to color "
"differences between the A and B sets, at an increased training time cost. "
@@ -957,7 +979,7 @@ msgstr ""
"цвета между наборами A and B ценой некоторого замедления скорости "
"тренировки. Включите эту опцию для отключения цветовой аугментации."
#: lib/cli/args.py:1158
#: lib/cli/args.py:1167
msgid ""
"Warping is integral to training the Neural Network. This option should only "
"be enabled towards the very end of training to try to bring out more detail. "
@@ -970,7 +992,7 @@ msgstr ""
"Включение этой опции с самого начала может убить модель и привести к ужасным "
"результатам."
#: lib/cli/args.py:1183
#: lib/cli/args.py:1192
msgid "Output to Shell console instead of GUI console"
msgstr "Вывод в системную консоль вместо GUI"

10
plugins/extract/_base.py
View File

@@ -4,7 +4,7 @@
"""
import logging
from tensorflow.python.framework import errors_impl as tf_errors
from tensorflow.python.framework import errors_impl as tf_errors # pylint:disable=no-name-in-module # noqa
from lib.multithreading import MultiThread
from lib.queue_manager import queue_manager
@@ -106,6 +106,7 @@ class Extractor():
"configfile: %s, instance: %s, )", self.__class__.__name__, git_model_id,
model_filename, exclude_gpus, configfile, instance)
self._is_initialized = False
self._instance = instance
self._exclude_gpus = exclude_gpus
self.config = _get_config(".".join(self.__module__.split(".")[-2:]), configfile=configfile)
@@ -370,6 +371,12 @@ class Extractor():
"""
logger.debug("initialize %s: (args: %s, kwargs: %s)",
self.__class__.__name__, args, kwargs)
if self._is_initialized:
# When batch processing, plugins will be initialized on first job in batch
logger.debug("Plugin already initialized: %s (%s)",
self.name, self._plugin_type.title())
return
logger.info("Initializing %s (%s)...", self.name, self._plugin_type.title())
self.queue_size = 1
name = self.name.replace(" ", "_").lower()
@@ -391,6 +398,7 @@ class Extractor():
"option to `True`.")
raise FaceswapError(msg) from err
raise err
self._is_initialized = True
logger.info("Initialized %s (%s) with batchsize of %s",
self.name, self._plugin_type.title(), self.batchsize)

184
plugins/extract/pipeline.py
View File

@@ -12,12 +12,12 @@ plugins either in parallel or in series, giving easy access to input and output.
import logging
import sys
from typing import cast, List, Optional, Tuple, TYPE_CHECKING
from typing import cast, Dict, Generator, List, Optional, Tuple, TYPE_CHECKING, Union
import cv2
from lib.gpu_stats import GPUStats
from lib.queue_manager import queue_manager, QueueEmpty
from lib.queue_manager import EventQueue, queue_manager, QueueEmpty
from lib.utils import get_backend
from plugins.plugin_loader import PluginLoader
@@ -29,6 +29,10 @@ else:
if TYPE_CHECKING:
import numpy as np
from lib.align.detected_face import DetectedFace
from plugins.extract._base import Extractor as PluginExtractor
from plugins.extract.detect._base import Detector
from plugins.extract.align._base import Aligner
from plugins.extract.mask._base import Masker
logger = logging.getLogger(__name__) # pylint:disable=invalid-name
_INSTANCES = -1 # Tracking for multiple instances of pipeline
@@ -91,9 +95,18 @@ class Extractor():
The current phase that the pipeline is running. Used in conjunction with :attr:`passes` and
:attr:`final_pass` to indicate to the caller which phase is being processed
"""
def __init__(self, detector, aligner, masker, configfile=None, multiprocess=False,
exclude_gpus=None, rotate_images=None, min_size=20, normalize_method=None,
re_feed=0, image_is_aligned=False):
def __init__(self,
detector: str,
aligner: str,
masker: Union[str, List[str]],
configfile: Optional[str] = None,
multiprocess: bool = False,
exclude_gpus: Optional[List[int]] = None,
rotate_images: Optional[List[int]] = None,
min_size: int = 20,
normalize_method: Optional[str] = None,
re_feed: int = 0,
image_is_aligned: bool = False) -> None:
logger.debug("Initializing %s: (detector: %s, aligner: %s, masker: %s, configfile: %s, "
"multiprocess: %s, exclude_gpus: %s, rotate_images: %s, min_size: %s, "
"normalize_method: %s, re_feed: %s, image_is_aligned: %s)",
@@ -121,7 +134,7 @@ class Extractor():
logger.debug("Initialized %s", self.__class__.__name__)
@property
def input_queue(self):
def input_queue(self) -> EventQueue:
""" queue: Return the correct input queue depending on the current phase
The input queue is the entry point into the extraction pipeline. An :class:`ExtractMedia`
@@ -135,11 +148,11 @@ class Extractor():
"""
qname = f"extract{self._instance}_{self._current_phase[0]}_in"
retval = self._queues[qname]
logger.trace("%s: %s", qname, retval)
logger.trace("%s: %s", qname, retval) # type: ignore
return retval
@property
def passes(self):
def passes(self) -> int:
""" int: Returns the total number of passes the extractor needs to make.
This is calculated on several factors (vram available, plugin choice,
@@ -157,21 +170,21 @@ class Extractor():
>>> extractor.input_queue.put(extract_media)
"""
retval = len(self._phases)
logger.trace(retval)
logger.trace(retval) # type: ignore
return retval
@property
def phase_text(self):
def phase_text(self) -> str:
""" str: The plugins that are running in the current phase, formatted for info text
output. """
plugin_types = set(self._get_plugin_type_and_index(phase)[0]
for phase in self._current_phase)
retval = ", ".join(plugin_type.title() for plugin_type in list(plugin_types))
logger.trace(retval)
logger.trace(retval) # type: ignore
return retval
@property
def final_pass(self):
def final_pass(self) -> bool:
""" bool, Return ``True`` if this is the final extractor pass otherwise ``False``
Useful for iterating over the pipeline :attr:`passes` or :func:`detected_faces` and
@@ -188,17 +201,24 @@ class Extractor():
>>> extractor.input_queue.put(extract_media)
"""
retval = self._phase_index == len(self._phases) - 1
logger.trace(retval)
logger.trace(retval) # type: ignore
return retval
def set_batchsize(self, plugin_type, batchsize):
def reset_phase_index(self) -> None:
""" Reset the current phase index back to 0. Used for when batch processing is used in
extract. """
self._phase_index = 0
def set_batchsize(self,
plugin_type: Literal["align", "detect"],
batchsize: int) -> None:
""" Set the batch size of a given :attr:`plugin_type` to the given :attr:`batchsize`.
This should be set prior to :func:`launch` if the batch size is to be manually overridden
Parameters
----------
plugin_type: {'aligner', 'detector'}
plugin_type: {'align', 'detect'}
The plugin_type to be overridden
batchsize: int
The batch size to use for this plugin type
@@ -207,7 +227,7 @@ class Extractor():
plugin = getattr(self, f"_{plugin_type}")
plugin.batchsize = batchsize
def launch(self):
def launch(self) -> None:
""" Launches the plugin(s)
This launches the plugins held in the pipeline, and should be called at the beginning
@@ -223,7 +243,7 @@ class Extractor():
for phase in self._current_phase:
self._launch_plugin(phase)
def detected_faces(self):
def detected_faces(self) -> Generator["ExtractMedia", None, None]:
""" Generator that returns results, frame by frame from the extraction pipeline
This is the exit point for the extraction pipeline and is used to obtain the output
@@ -258,9 +278,6 @@ class Extractor():
self._join_threads()
if self.final_pass:
# Cleanup queues
for q_name in self._queues:
queue_manager.del_queue(q_name)
logger.debug("Detection Complete")
else:
self._phase_index += 1
@@ -268,7 +285,7 @@ class Extractor():
# <<< INTERNAL METHODS >>> #
@property
def _parallel_scaling(self):
def _parallel_scaling(self) -> Dict[int, float]:
""" dict: key is number of parallel plugins being loaded, value is the scaling factor that
the total base vram for those plugins should be scaled by
@@ -288,11 +305,11 @@ class Extractor():
3: 0.55,
4: 0.5,
5: 0.4}
logger.trace(retval)
logger.trace(retval) # type: ignore
return retval
@property
def _vram_per_phase(self):
def _vram_per_phase(self) -> Dict[str, float]:
""" dict: The amount of vram required for each phase in :attr:`_flow`. """
retval = {}
for phase in self._flow:
@@ -300,11 +317,11 @@ class Extractor():
attr = getattr(self, f"_{plugin_type}")
attr = attr[idx] if idx is not None else attr
retval[phase] = attr.vram
logger.trace(retval)
logger.trace(retval) # type: ignore
return retval
@property
def _total_vram_required(self):
def _total_vram_required(self) -> float:
""" Return vram required for all phases plus the buffer """
vrams = self._vram_per_phase
vram_required_count = sum(1 for p in vrams.values() if p > 0)
@@ -316,32 +333,32 @@ class Extractor():
return retval
@property
def _current_phase(self):
def _current_phase(self) -> List[str]:
""" list: The current phase from :attr:`_phases` that is running through the extractor. """
retval = self._phases[self._phase_index]
logger.trace(retval)
logger.trace(retval) # type: ignore
return retval
@property
def _final_phase(self):
def _final_phase(self) -> str:
""" Return the final phase from the flow list """
retval = self._flow[-1]
logger.trace(retval)
logger.trace(retval) # type: ignore
return retval
@property
def _output_queue(self):
def _output_queue(self) -> EventQueue:
""" Return the correct output queue depending on the current phase """
if self.final_pass:
qname = f"extract{self._instance}_{self._final_phase}_out"
else:
qname = f"extract{self._instance}_{self._phases[self._phase_index + 1][0]}_in"
retval = self._queues[qname]
logger.trace("%s: %s", qname, retval)
logger.trace("%s: %s", qname, retval) # type: ignore
return retval
@property
def _all_plugins(self):
def _all_plugins(self) -> List["PluginExtractor"]:
""" Return list of all plugin objects in this pipeline """
retval = []
for phase in self._flow:
@@ -349,22 +366,22 @@ class Extractor():
attr = getattr(self, f"_{plugin_type}")
attr = attr[idx] if idx is not None else attr
retval.append(attr)
logger.trace("All Plugins: %s", retval)
logger.trace("All Plugins: %s", retval) # type: ignore
return retval
@property
def _active_plugins(self):
def _active_plugins(self) -> List["PluginExtractor"]:
""" Return the plugins that are currently active based on pass """
retval = []
for phase in self._current_phase:
plugin_type, idx = self._get_plugin_type_and_index(phase)
attr = getattr(self, f"_{plugin_type}")
retval.append(attr[idx] if idx is not None else attr)
logger.trace("Active plugins: %s", retval)
logger.trace("Active plugins: %s", retval) # type: ignore
return retval
@staticmethod
def _set_flow(detector, aligner, masker):
def _set_flow(detector: str, aligner: str, masker: List[str]) -> List[str]:
""" Set the flow list based on the input plugins """
logger.debug("detector: %s, aligner: %s, masker: %s", detector, aligner, masker)
retval = []
@@ -379,7 +396,7 @@ class Extractor():
return retval
@staticmethod
def _get_plugin_type_and_index(flow_phase):
def _get_plugin_type_and_index(flow_phase: str) -> Tuple[str, Optional[int]]:
""" Obtain the plugin type and index for the plugin for the given flow phase.
When multiple plugins for the same phase are allowed (e.g. Mask) this will return
@@ -399,16 +416,16 @@ class Extractor():
The index of this plugin type within the flow, if there are multiple plugins in use
otherwise ``None`` if there is only 1 plugin in use for the given phase
"""
idx = flow_phase.split("_")[-1]
if idx.isdigit():
idx = int(idx)
sidx = flow_phase.split("_")[-1]
if sidx.isdigit():
idx: Optional[int] = int(sidx)
plugin_type = "_".join(flow_phase.split("_")[:-1])
else:
plugin_type = flow_phase
idx = None
return plugin_type, idx
def _add_queues(self):
def _add_queues(self) -> Dict[str, EventQueue]:
""" Add the required processing queues to Queue Manager """
queues = {}
tasks = [f"extract{self._instance}_{phase}_in" for phase in self._flow]
@@ -421,7 +438,7 @@ class Extractor():
return queues
@staticmethod
def _get_vram_stats():
def _get_vram_stats() -> Dict[str, Union[int, str]]:
""" Obtain statistics on available VRAM and subtract a constant buffer from available vram.
Returns
@@ -432,14 +449,14 @@ class Extractor():
vram_buffer = 256 # Leave a buffer for VRAM allocation
gpu_stats = GPUStats()
stats = gpu_stats.get_card_most_free()
retval = dict(count=gpu_stats.device_count,
device=stats["device"],
vram_free=int(stats["free"] - vram_buffer),
vram_total=int(stats["total"]))
retval: Dict[str, Union[int, str]] = dict(count=gpu_stats.device_count,
device=stats["device"],
vram_free=int(stats["free"] - vram_buffer),
vram_total=int(stats["total"]))
logger.debug(retval)
return retval
def _set_parallel_processing(self, multiprocess):
def _set_parallel_processing(self, multiprocess: bool) -> bool:
""" Set whether to run detect, align, and mask together or separately.
Parameters
@@ -459,17 +476,17 @@ class Extractor():
logger.debug("Parallel processing disabled by amd")
return False
logger.verbose("%s - %sMB free of %sMB",
logger.verbose("%s - %sMB free of %sMB", # type: ignore
self._vram_stats["device"],
self._vram_stats["vram_free"],
self._vram_stats["vram_total"])
if self._vram_stats["vram_free"] <= self._total_vram_required:
if cast(int, self._vram_stats["vram_free"]) <= self._total_vram_required:
logger.warning("Not enough free VRAM for parallel processing. "
"Switching to serial")
return False
return True
def _set_phases(self, multiprocess):
def _set_phases(self, multiprocess: bool) -> List[List[str]]:
""" If not enough VRAM is available, then chunk :attr:`_flow` up into phases that will fit
into VRAM, otherwise return the single flow.
@@ -484,9 +501,9 @@ class Extractor():
The jobs to be undertaken split into phases that fit into GPU RAM
"""
force_single_process = not multiprocess or get_backend() == "amd"
phases = []
current_phase = []
available = self._vram_stats["vram_free"]
phases: List[List[str]] = []
current_phase: List[str] = []
available = cast(int, self._vram_stats["vram_free"])
for phase in self._flow:
num_plugins = len([p for p in current_phase if self._vram_per_phase[p] > 0])
num_plugins += 1 if self._vram_per_phase[phase] > 0 else 0
@@ -518,48 +535,59 @@ class Extractor():
return phases
# << INTERNAL PLUGIN HANDLING >> #
def _load_align(self, aligner, configfile, normalize_method, re_feed):
def _load_align(self,
aligner: str,
configfile: Optional[str],
normalize_method: Optional[str],
re_feed: int) -> Optional["Aligner"]:
""" Set global arguments and load aligner plugin """
if aligner is None or aligner.lower() == "none":
logger.debug("No aligner selected. Returning None")
return None
aligner_name = aligner.replace("-", "_").lower()
logger.debug("Loading Aligner: '%s'", aligner_name)
aligner = PluginLoader.get_aligner(aligner_name)(exclude_gpus=self._exclude_gpus,
configfile=configfile,
normalize_method=normalize_method,
re_feed=re_feed,
instance=self._instance)
return aligner
plugin = PluginLoader.get_aligner(aligner_name)(exclude_gpus=self._exclude_gpus,
configfile=configfile,
normalize_method=normalize_method,
re_feed=re_feed,
instance=self._instance)
return plugin
def _load_detect(self, detector, rotation, min_size, configfile):
def _load_detect(self,
detector: str,
rotation: Optional[List[int]],
min_size: int,
configfile: Optional[str]) -> Optional["Detector"]:
""" Set global arguments and load detector plugin """
if detector is None or detector.lower() == "none":
logger.debug("No detector selected. Returning None")
return None
detector_name = detector.replace("-", "_").lower()
logger.debug("Loading Detector: '%s'", detector_name)
detector = PluginLoader.get_detector(detector_name)(exclude_gpus=self._exclude_gpus,
rotation=rotation,
min_size=min_size,
configfile=configfile,
instance=self._instance)
return detector
plugin = PluginLoader.get_detector(detector_name)(exclude_gpus=self._exclude_gpus,
rotation=rotation,
min_size=min_size,
configfile=configfile,
instance=self._instance)
return plugin
def _load_mask(self, masker, image_is_aligned, configfile):
def _load_mask(self,
masker: str,
image_is_aligned: bool,
configfile: Optional[str]) -> Optional["Masker"]:
""" Set global arguments and load masker plugin """
if masker is None or masker.lower() == "none":
logger.debug("No masker selected. Returning None")
return None
masker_name = masker.replace("-", "_").lower()
logger.debug("Loading Masker: '%s'", masker_name)
masker = PluginLoader.get_masker(masker_name)(exclude_gpus=self._exclude_gpus,
plugin = PluginLoader.get_masker(masker_name)(exclude_gpus=self._exclude_gpus,
image_is_aligned=image_is_aligned,
configfile=configfile,
instance=self._instance)
return masker
return plugin
def _launch_plugin(self, phase):
def _launch_plugin(self, phase: str) -> None:
""" Launch an extraction plugin """
logger.debug("Launching %s plugin", phase)
in_qname = f"extract{self._instance}_{phase}_in"
@@ -578,7 +606,7 @@ class Extractor():
plugin.start()
logger.debug("Launched %s plugin", phase)
def _set_extractor_batchsize(self):
def _set_extractor_batchsize(self) -> None:
"""
Sets the batch size of the requested plugins based on their vram, their
vram_per_batch_requirements and the number of plugins being loaded in the current phase.
@@ -597,15 +625,16 @@ class Extractor():
gpu_plugins = [p for p in self._current_phase if self._vram_per_phase[p] > 0]
scaling = self._parallel_scaling.get(len(gpu_plugins), self._scaling_fallback)
plugins_required = sum(self._vram_per_phase[p] for p in gpu_plugins) * scaling
if plugins_required + batch_required <= self._vram_stats["vram_free"]:
if plugins_required + batch_required <= cast(int, self._vram_stats["vram_free"]):
logger.debug("Plugin requirements within threshold: (plugins_required: %sMB, "
"vram_free: %sMB)", plugins_required, self._vram_stats["vram_free"])
return
# Hacky split across plugins that use vram
available_vram = (self._vram_stats["vram_free"] - plugins_required) // len(gpu_plugins)
available_vram = (cast(int, self._vram_stats["vram_free"])
- plugins_required) // len(gpu_plugins)
self._set_plugin_batchsize(gpu_plugins, available_vram)
def set_aligner_normalization_method(self, method):
def set_aligner_normalization_method(self, method: str) -> None:
""" Change the normalization method for faces fed into the aligner.
Parameters
@@ -613,10 +642,11 @@ class Extractor():
method: {"none", "clahe", "hist", "mean"}
The normalization method to apply to faces prior to feeding into the aligner's model
"""
assert self._align is not None
logger.debug("Setting to: '%s'", method)
self._align.set_normalize_method(method)
def _set_plugin_batchsize(self, gpu_plugins, available_vram):
def _set_plugin_batchsize(self, gpu_plugins: List[str], available_vram: float) -> None:
""" Set the batch size for the given plugin based on given available vram.
Do not update plugins which have a vram_per_batch of 0 (CPU plugins) due to
zero division error.
@@ -666,7 +696,7 @@ class Extractor():
for plugin in self._active_plugins:
plugin.join()
def _check_and_raise_error(self):
def _check_and_raise_error(self) -> bool:
""" Check all threads for errors and raise if one occurs """
for plugin in self._active_plugins:
if plugin.check_and_raise_error():

42
plugins/plugin_loader.py
View File

@@ -3,7 +3,21 @@
import logging
import os
import sys
from importlib import import_module
from typing import Callable, List, Type, TYPE_CHECKING
if TYPE_CHECKING:
from plugins.extract.detect._base import Detector
from plugins.extract.align._base import Aligner
from plugins.extract.mask._base import Masker
from plugins.train.model._base import ModelBase
from plugins.train.trainer._base import TrainerBase
if sys.version_info < (3, 8):
from typing_extensions import Literal
else:
from typing import Literal
logger = logging.getLogger(__name__) # pylint: disable=invalid-name
@@ -21,7 +35,7 @@ class PluginLoader():
>>> aligner = PluginLoader.get_aligner('cv2-dnn')
"""
@staticmethod
def get_detector(name, disable_logging=False):
def get_detector(name: str, disable_logging: bool = False) -> Type["Detector"]:
""" Return requested detector plugin
Parameters
@@ -40,7 +54,7 @@ class PluginLoader():
return PluginLoader._import("extract.detect", name, disable_logging)
@staticmethod
def get_aligner(name, disable_logging=False):
def get_aligner(name: str, disable_logging: bool = False) -> Type["Aligner"]:
""" Return requested aligner plugin
Parameters
@@ -59,7 +73,7 @@ class PluginLoader():
return PluginLoader._import("extract.align", name, disable_logging)
@staticmethod
def get_masker(name, disable_logging=False):
def get_masker(name: str, disable_logging: bool = False) -> Type["Masker"]:
""" Return requested masker plugin
Parameters
@@ -78,7 +92,7 @@ class PluginLoader():
return PluginLoader._import("extract.mask", name, disable_logging)
@staticmethod
def get_model(name, disable_logging=False):
def get_model(name: str, disable_logging: bool = False) -> "ModelBase":
""" Return requested training model plugin
Parameters
@@ -97,7 +111,7 @@ class PluginLoader():
return PluginLoader._import("train.model", name, disable_logging)
@staticmethod
def get_trainer(name, disable_logging=False):
def get_trainer(name: str, disable_logging: bool = False) -> "TrainerBase":
""" Return requested training trainer plugin
Parameters
@@ -116,7 +130,7 @@ class PluginLoader():
return PluginLoader._import("train.trainer", name, disable_logging)
@staticmethod
def get_converter(category, name, disable_logging=False):
def get_converter(category: str, name: str, disable_logging: bool = False) -> Callable:
""" Return requested converter plugin
Converters work slightly differently to other faceswap plugins. They are created to do a
@@ -136,10 +150,10 @@ class PluginLoader():
:class:`plugins.convert` object:
A converter sub plugin
"""
return PluginLoader._import("convert.{}".format(category), name, disable_logging)
return PluginLoader._import(f"convert.{category}", name, disable_logging)
@staticmethod
def _import(attr, name, disable_logging):
def _import(attr: str, name: str, disable_logging: bool):
""" Import the plugin's module
Parameters
@@ -164,12 +178,14 @@ class PluginLoader():
return getattr(module, ttl)
@staticmethod
def get_available_extractors(extractor_type, add_none=False, extend_plugin=False):
def get_available_extractors(extractor_type: Literal["align", "detect", "mask"],
add_none: bool = False,
extend_plugin: bool = False) -> List[str]:
""" Return a list of available extractors of the given type
Parameters
----------
extractor_type: {'aligner', 'detector', 'masker'}
extractor_type: {'align', 'detect', 'mask'}
The type of extractor to return the plugins for
add_none: bool, optional
Append "none" to the list of returned plugins. Default: False
@@ -207,7 +223,7 @@ class PluginLoader():
return extractors
@staticmethod
def get_available_models():
def get_available_models() -> List[str]:
""" Return a list of available training models
Returns
@@ -224,7 +240,7 @@ class PluginLoader():
return models
@staticmethod
def get_default_model():
def get_default_model() -> str:
""" Return the default training model plugin name
Returns
@@ -237,7 +253,7 @@ class PluginLoader():
return 'original' if 'original' in models else models[0]
@staticmethod
def get_available_convert_plugins(convert_category, add_none=True):
def get_available_convert_plugins(convert_category: str, add_none: bool = True) -> List[str]:
""" Return a list of available converter plugins in the given category
Parameters

145
scripts/extract.py
View File

@@ -6,19 +6,17 @@ from __future__ import annotations
import logging
import os
import sys
from typing import List, Dict, TYPE_CHECKING, Optional
from argparse import Namespace
from typing import List, Dict, Optional
from tqdm import tqdm
from lib.image import encode_image, generate_thumbnail, ImagesLoader, ImagesSaver
from lib.multithreading import MultiThread
from lib.utils import get_folder
from lib.utils import get_folder, _video_extensions
from plugins.extract.pipeline import Extractor, ExtractMedia
from scripts.fsmedia import Alignments, PostProcess, finalize
if TYPE_CHECKING:
import argparse
tqdm.monitor_interval = 0 # workaround for TqdmSynchronisationWarning
logger = logging.getLogger(__name__) # pylint: disable=invalid-name
@@ -42,23 +40,14 @@ class Extract(): # pylint:disable=too-few-public-methods
The arguments to be passed to the extraction process as generated from Faceswap's command
line arguments
"""
def __init__(self, arguments: argparse.Namespace) -> None:
def __init__(self, arguments: Namespace) -> None:
logger.debug("Initializing %s: (args: %s", self.__class__.__name__, arguments)
self._args = arguments
self._output_dir = None if self._args.skip_saving_faces else get_folder(
self._args.output_dir)
self._input_locations = self._get_input_locations()
self._validate_batchmode()
logger.info("Output Directory: %s", self._args.output_dir)
self._images = ImagesLoader(self._args.input_dir, fast_count=True)
self._alignments = Alignments(self._args, True, self._images.is_video)
self._existing_count = 0
self._set_skip_list()
self._post_process = PostProcess(arguments)
configfile = self._args.configfile if hasattr(self._args, "configfile") else None
normalization = None if self._args.normalization == "none" else self._args.normalization
maskers = ["components", "extended"]
maskers += self._args.masker if self._args.masker else []
self._extractor = Extractor(self._args.detector,
@@ -71,6 +60,127 @@ class Extract(): # pylint:disable=too-few-public-methods
min_size=self._args.min_size,
normalize_method=normalization,
re_feed=self._args.re_feed)
def _get_input_locations(self) -> List[str]:
""" Obtain the full path to input locations. Will be a list of locations if batch mode is
selected, or a containing a single location if batch mode is not selected.
Returns
-------
list:
The list of input location paths
"""
if not self._args.batch_mode or os.path.isfile(self._args.input_dir):
return [self._args.input_dir] # Not batch mode or a single file
retval = [os.path.join(self._args.input_dir, fname)
for fname in os.listdir(self._args.input_dir)
if os.path.isdir(os.path.join(self._args.input_dir, fname))
or os.path.splitext(fname)[-1].lower() in _video_extensions]
logger.debug("Input locations: %s", retval)
return retval
def _validate_batchmode(self):
""" Validate the command line arguments.
If batch-mode selected and there is only one object to extract from, then batch mode is
disabled
If processing in batch mode, some of the given arguments may not make sense, in which case
a warning is shown and those options are reset.
"""
if not self._args.batch_mode:
return
if os.path.isfile(self._args.input_dir):
logger.warning("Batch mode selected but input is not a folder. Switching to normal "
"mode")
self._args.batch_mode = False
if not self._input_locations:
logger.error("Batch mode selected, but no valid files found in input location: '%s'. "
"Exiting.", self._args.input_dir)
sys.exit(1)
if self._args.alignments_path:
logger.warning("Custom alignments path not supported for batch mode. "
"Reverting to default.")
self._args.alignments_path = None
def _output_for_input(self, input_location: str) -> str:
""" Obtain the path to an output folder for faces for a given input location.
If not running in batch mode, then the user supplied output location will be returned,
otherwise a sub-folder within the user supplied output location will be returned based on
the input filename
Parameters
----------
input_location: str
The full path to an input video or folder of images
"""
if not self._args.batch_mode:
return self._args.output_dir
retval = os.path.join(self._args.output_dir,
os.path.splitext(os.path.basename(input_location))[0])
logger.debug("Returning output: '%s' for input: '%s'", retval, input_location)
return retval
def process(self):
""" The entry point for triggering the Extraction Process.
Should only be called from :class:`lib.cli.launcher.ScriptExecutor`
"""
logger.info('Starting, this may take a while...')
inputs = self._input_locations
if self._args.batch_mode:
logger.info("Batch mode selected processing: %s", self._input_locations)
for job_no, location in enumerate(self._input_locations):
if self._args.batch_mode:
logger.info("Processing job %s of %s: '%s'", job_no + 1, len(inputs), location)
arguments = Namespace(**self._args.__dict__)
arguments.input_dir = location
arguments.output_dir = self._output_for_input(location)
else:
arguments = self._args
extract = _Extract(self._extractor, arguments)
extract.process()
self._extractor.reset_phase_index()
class _Extract(): # pylint:disable=too-few-public-methods
""" The Actual extraction process.
This class is called by the parent :class:`Extract` process
Parameters
----------
extractor: :class:`~plugins.extract.pipeline.Extractor`
The extractor pipeline for running extractions
arguments: :class:`argparse.Namespace`
The arguments to be passed to the extraction process as generated from Faceswap's command
line arguments
"""
def __init__(self,
extractor: Extractor,
arguments: Namespace) -> None:
logger.debug("Initializing %s: (extractor: %s, args: %s)", self.__class__.__name__,
extractor, arguments)
self._args = arguments
self._output_dir = None if self._args.skip_saving_faces else get_folder(
self._args.output_dir)
logger.info("Output Directory: %s", self._output_dir)
self._images = ImagesLoader(self._args.input_dir, fast_count=True)
self._alignments = Alignments(self._args, True, self._images.is_video)
self._extractor = extractor
self._existing_count = 0
self._set_skip_list()
self._post_process = PostProcess(arguments)
self._threads: List[MultiThread] = []
self._verify_output = False
logger.debug("Initialized %s", self.__class__.__name__)
@@ -121,7 +231,6 @@ class Extract(): # pylint:disable=too-few-public-methods
Should only be called from :class:`lib.cli.launcher.ScriptExecutor`
"""
logger.info('Starting, this may take a while...')
# from lib.queue_manager import queue_manager ; queue_manager.debug_monitor(3)
self._threaded_redirector("load")
self._run_extraction()