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msgstr ""
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#: lib/cli/args_extract_convert.py:46 lib/cli/args_extract_convert.py:56
#: lib/cli/args_extract_convert.py:64 lib/cli/args_extract_convert.py:122
#: lib/cli/args_extract_convert.py:483 lib/cli/args_extract_convert.py:492
msgid "Data"
msgstr ""

#: lib/cli/args_extract_convert.py:48
msgid ""
"Input directory or video. Either a directory containing the image files you "
"wish to process or path to a video file. NB: This should be the source video/"
"frames NOT the source faces."
msgstr ""

#: lib/cli/args_extract_convert.py:57
msgid "Output directory. This is where the converted files will be saved."
msgstr ""

#: lib/cli/args_extract_convert.py:66
msgid ""
"Optional path to an alignments file. Leave blank if the alignments file is "
"at the default location."
msgstr ""

#: lib/cli/args_extract_convert.py:97
msgid ""
"Extract faces from image or video sources.\n"
"Extraction plugins can be configured in the 'Settings' Menu"
msgstr ""

#: lib/cli/args_extract_convert.py:124
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_extract_convert.py:133 lib/cli/args_extract_convert.py:152
#: lib/cli/args_extract_convert.py:167 lib/cli/args_extract_convert.py:206
#: lib/cli/args_extract_convert.py:224 lib/cli/args_extract_convert.py:237
#: lib/cli/args_extract_convert.py:247 lib/cli/args_extract_convert.py:257
#: lib/cli/args_extract_convert.py:503 lib/cli/args_extract_convert.py:529
#: lib/cli/args_extract_convert.py:568
msgid "Plugins"
msgstr ""

#: lib/cli/args_extract_convert.py:135
msgid ""
"R|Detector to use. Some of these have configurable settings in '/config/"
"extract.ini' or 'Settings > Configure Extract 'Plugins':\n"
"L|cv2-dnn: A CPU only extractor which is the least reliable and least "
"resource intensive. Use this if not using a GPU and time is important.\n"
"L|mtcnn: Good detector. Fast on CPU, faster on GPU. Uses fewer resources "
"than other GPU detectors but can often return more false positives.\n"
"L|s3fd: Best detector. Slow on CPU, faster on GPU. Can detect more faces and "
"fewer false positives than other GPU detectors, but is a lot more resource "
"intensive.\n"
"L|external: Import a face detection bounding box from a json file. "
"(configurable in Detect settings)"
msgstr ""

#: lib/cli/args_extract_convert.py:154
msgid ""
"R|Aligner to use.\n"
"L|cv2-dnn: A CPU only landmark detector. Faster, less resource intensive, "
"but less accurate. Only use this if not using a GPU and time is important.\n"
"L|fan: Best aligner. Fast on GPU, slow on CPU.\n"
"L|external: Import 68 point 2D landmarks or an aligned bounding box from a "
"json file. (configurable in Align settings)"
msgstr ""

#: lib/cli/args_extract_convert.py:169
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 "
"longer the more you select. NB: The Extended and Components (landmark based) "
"masks are automatically generated on extraction.\n"
"L|bisenet-fp: Relatively lightweight NN based mask that provides more "
"refined control over the area to be masked including full head masking "
"(configurable in mask settings).\n"
"L|custom: A dummy mask that fills the mask area with all 1s or 0s "
"(configurable in settings). This is only required if you intend to manually "
"edit the custom masks yourself in the manual tool. This mask does not use "
"the GPU so will not use any additional VRAM.\n"
"L|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
"faces clear of obstructions. Profile faces and obstructions may result in "
"sub-par performance.\n"
"L|vgg-obstructed: Mask designed to provide smart segmentation of mostly "
"frontal faces. The mask model has been specifically trained to recognize "
"some facial obstructions (hands and eyeglasses). Profile faces may result in "
"sub-par performance.\n"
"L|unet-dfl: Mask designed to provide smart segmentation of mostly frontal "
"faces. The mask model has been trained by community members and will need "
"testing for further description. Profile faces may result in sub-par "
"performance.\n"
"The auto generated masks are as follows:\n"
"L|components: Mask designed to provide facial segmentation based on the "
"positioning of landmark locations. A convex hull is constructed around the "
"exterior of the landmarks to create a mask.\n"
"L|extended: Mask designed to provide facial segmentation based on the "
"positioning of landmark locations. A convex hull is constructed around the "
"exterior of the landmarks and the mask is extended upwards onto the "
"forehead.\n"
"(eg: `-M unet-dfl vgg-clear`, `--masker vgg-obstructed`)"
msgstr ""

#: lib/cli/args_extract_convert.py:208
msgid ""
"R|Performing normalization can help the aligner better align faces with "
"difficult lighting conditions at an extraction speed cost. Different methods "
"will yield different results on different sets. NB: This does not impact the "
"output face, just the input to the aligner.\n"
"L|none: Don't perform normalization on the face.\n"
"L|clahe: Perform Contrast Limited Adaptive Histogram Equalization on the "
"face.\n"
"L|hist: Equalize the histograms on the RGB channels.\n"
"L|mean: Normalize the face colors to the mean."
msgstr ""

#: lib/cli/args_extract_convert.py:226
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 "
"amount. The final landmarks are then averaged from each iteration. Helps to "
"remove 'micro-jitter' but at the cost of slower extraction speed. The more "
"times the face is re-fed into the aligner, the less micro-jitter should "
"occur but the longer extraction will take."
msgstr ""

#: lib/cli/args_extract_convert.py:239
msgid ""
"Re-feed the initially found aligned face through the aligner. Can help "
"produce better alignments for faces that are rotated beyond 45 degrees in "
"the frame or are at extreme angles. Slows down extraction."
msgstr ""

#: lib/cli/args_extract_convert.py:249
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 "
"increments of that size up to 360, or pass in a list of numbers to enumerate "
"exactly what angles to check."
msgstr ""

#: lib/cli/args_extract_convert.py:259
msgid ""
"Obtain and store face identity encodings from VGGFace2. Slows down extract a "
"little, but will save time if using 'sort by face'"
msgstr ""

#: lib/cli/args_extract_convert.py:269 lib/cli/args_extract_convert.py:280
#: lib/cli/args_extract_convert.py:293 lib/cli/args_extract_convert.py:307
#: lib/cli/args_extract_convert.py:614 lib/cli/args_extract_convert.py:623
#: lib/cli/args_extract_convert.py:638 lib/cli/args_extract_convert.py:651
#: lib/cli/args_extract_convert.py:665
msgid "Face Processing"
msgstr ""

#: lib/cli/args_extract_convert.py:271
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_extract_convert.py:282
msgid ""
"Optionally filter out people who you do not wish to extract by passing in "
"images of those people. Should be a small variety of images at different "
"angles and in different conditions. A folder containing the required images "
"or multiple image files, space separated, can be selected."
msgstr ""

#: lib/cli/args_extract_convert.py:295
msgid ""
"Optionally select people you wish to extract by passing in images of that "
"person. Should be a small variety of images at different angles and in "
"different conditions A folder containing the required images or multiple "
"image files, space separated, can be selected."
msgstr ""

#: lib/cli/args_extract_convert.py:309
msgid ""
"For use with the optional nfilter/filter files. Threshold for positive face "
"recognition. Higher values are stricter."
msgstr ""

#: lib/cli/args_extract_convert.py:318 lib/cli/args_extract_convert.py:331
#: lib/cli/args_extract_convert.py:344 lib/cli/args_extract_convert.py:356
msgid "output"
msgstr ""

#: lib/cli/args_extract_convert.py:320
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_extract_convert.py:333
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_extract_convert.py:346
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 "
"process. NB: If extracting in 2 passes then the alignments file will only "
"start to be saved out during the second pass. WARNING: Don't interrupt the "
"script when writing the file because it might get corrupted. Set to 0 to "
"turn off"
msgstr ""

#: lib/cli/args_extract_convert.py:357
msgid "Draw landmarks on the ouput faces for debugging purposes."
msgstr ""

#: lib/cli/args_extract_convert.py:363 lib/cli/args_extract_convert.py:373
#: lib/cli/args_extract_convert.py:381 lib/cli/args_extract_convert.py:388
#: lib/cli/args_extract_convert.py:678 lib/cli/args_extract_convert.py:691
#: lib/cli/args_extract_convert.py:712 lib/cli/args_extract_convert.py:718
msgid "settings"
msgstr ""

#: lib/cli/args_extract_convert.py:365
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 same time. "
"Useful if VRAM is at a premium."
msgstr ""

#: lib/cli/args_extract_convert.py:375
msgid ""
"Skips frames that have already been extracted and exist in the alignments "
"file"
msgstr ""

#: lib/cli/args_extract_convert.py:382
msgid "Skip frames that already have detected faces in the alignments file"
msgstr ""

#: lib/cli/args_extract_convert.py:389
msgid "Skip saving the detected faces to disk. Just create an alignments file"
msgstr ""

#: lib/cli/args_extract_convert.py:463
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_extract_convert.py:485
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_extract_convert.py:494
msgid ""
"Model directory. The directory containing the trained model you wish to use "
"for conversion."
msgstr ""

#: lib/cli/args_extract_convert.py:505
msgid ""
"R|Performs color adjustment to the swapped face. Some of these options have "
"configurable settings in '/config/convert.ini' or 'Settings > Configure "
"Convert Plugins':\n"
"L|avg-color: Adjust the mean of each color channel in the swapped "
"reconstruction to equal the mean of the masked area in the original image.\n"
"L|color-transfer: Transfers the color distribution from the source to the "
"target image using the mean and standard deviations of the L*a*b* color "
"space.\n"
"L|manual-balance: Manually adjust the balance of the image in a variety of "
"color spaces. Best used with the Preview tool to set correct values.\n"
"L|match-hist: Adjust the histogram of each color channel in the swapped "
"reconstruction to equal the histogram of the masked area in the original "
"image.\n"
"L|seamless-clone: Use cv2's seamless clone function to remove extreme "
"gradients at the mask seam by smoothing colors. Generally does not give very "
"satisfactory results.\n"
"L|none: Don't perform color adjustment."
msgstr ""

#: lib/cli/args_extract_convert.py:531
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"
"L|none: Don't use a mask.\n"
"L|bisenet-fp_face: Relatively lightweight NN based mask that provides more "
"refined control over the area to be masked (configurable in mask settings). "
"Use this version of bisenet-fp if your model is trained with 'face' or "
"'legacy' centering.\n"
"L|bisenet-fp_head: Relatively lightweight NN based mask that provides more "
"refined control over the area to be masked (configurable in mask settings). "
"Use this version of bisenet-fp if your model is trained with 'head' "
"centering.\n"
"L|custom_face: Custom user created, face centered mask.\n"
"L|custom_head: Custom user created, head centered mask.\n"
"L|components: Mask designed to provide facial segmentation based on the "
"positioning of landmark locations. A convex hull is constructed around the "
"exterior of the landmarks to create a mask.\n"
"L|extended: Mask designed to provide facial segmentation based on the "
"positioning of landmark locations. A convex hull is constructed around the "
"exterior of the landmarks and the mask is extended upwards onto the "
"forehead.\n"
"L|vgg-clear: Mask designed to provide smart segmentation of mostly frontal "
"faces clear of obstructions. Profile faces and obstructions may result in "
"sub-par performance.\n"
"L|vgg-obstructed: Mask designed to provide smart segmentation of mostly "
"frontal faces. The mask model has been specifically trained to recognize "
"some facial obstructions (hands and eyeglasses). Profile faces may result in "
"sub-par performance.\n"
"L|unet-dfl: Mask designed to provide smart segmentation of mostly frontal "
"faces. The mask model has been trained by community members and will need "
"testing for further description. Profile faces may result in sub-par "
"performance.\n"
"L|predicted: If the 'Learn Mask' option was enabled during training, this "
"will use the mask that was created by the trained model."
msgstr ""

#: lib/cli/args_extract_convert.py:570
msgid ""
"R|The plugin to use to output the converted images. The writers are "
"configurable in '/config/convert.ini' or 'Settings > Configure Convert "
"Plugins:'\n"
"L|ffmpeg: [video] Writes out the convert straight to video. When the input "
"is a series of images then the '-ref' (--reference-video) parameter must be "
"set.\n"
"L|gif: [animated image] Create an animated gif.\n"
"L|opencv: [images] The fastest image writer, but less options and formats "
"than other plugins.\n"
"L|patch: [images] Outputs the raw swapped face patch, along with the "
"transformation matrix required to re-insert the face back into the original "
"frame. Use this option if you wish to post-process and composite the final "
"face within external tools.\n"
"L|pillow: [images] Slower than opencv, but has more options and supports "
"more formats."
msgstr ""

#: lib/cli/args_extract_convert.py:591 lib/cli/args_extract_convert.py:600
#: lib/cli/args_extract_convert.py:703
msgid "Frame Processing"
msgstr ""

#: lib/cli/args_extract_convert.py:593
#, 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_extract_convert.py:602
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 "
"will be discarded unless '-k' (--keep-unchanged) is selected. NB: If you are "
"converting from images, then the filenames must end with the frame-number!"
msgstr ""

#: lib/cli/args_extract_convert.py:616
msgid ""
"Scale the swapped face by this percentage. Positive values will enlarge the "
"face, Negative values will shrink the face."
msgstr ""

#: lib/cli/args_extract_convert.py:625
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 "
"files/video. If this folder is defined, then only faces that exist within "
"your alignments file and also exist within the specified folder will be "
"converted. Leaving this blank will convert all faces that exist within the "
"alignments file."
msgstr ""

#: lib/cli/args_extract_convert.py:640
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 "
"image. Multiple images can be added space separated. NB: Using face filter "
"will significantly decrease extraction speed and its accuracy cannot be "
"guaranteed."
msgstr ""

#: lib/cli/args_extract_convert.py:653
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. "
"Multiple images can be added space separated. NB: Using face filter will "
"significantly decrease extraction speed and its accuracy cannot be "
"guaranteed."
msgstr ""

#: lib/cli/args_extract_convert.py:667
msgid ""
"For use with the optional nfilter/filter files. Threshold for positive face "
"recognition. Lower values are stricter. NB: Using face filter will "
"significantly decrease extraction speed and its accuracy cannot be "
"guaranteed."
msgstr ""

#: lib/cli/args_extract_convert.py:680
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 "
"if you have a lot of processes and not enough RAM to accommodate them all. "
"Setting this to 0 will use the maximum available. No matter what you set "
"this to, it will never attempt to use more processes than are available on "
"your system. If singleprocess is enabled this setting will be ignored."
msgstr ""

#: lib/cli/args_extract_convert.py:693
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 "
"generate the alignments on-the-fly by enabling this option. This will use an "
"inferior extraction pipeline and will lead to substandard results. If an "
"alignments file is found, this option will be ignored."
msgstr ""

#: lib/cli/args_extract_convert.py:705
msgid ""
"When used with --frame-ranges outputs the unchanged frames that are not "
"processed instead of discarding them."
msgstr ""

#: lib/cli/args_extract_convert.py:713
msgid "Swap the model. Instead converting from of A -> B, converts B -> A"
msgstr ""

#: lib/cli/args_extract_convert.py:719
msgid "Disable multiprocessing. Slower but less resource intensive."
msgstr ""
