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38 lines
1.4 KiB
Markdown
38 lines
1.4 KiB
Markdown
### **Features**:
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- works on AMD, NVIDIA, IntelHD graphics and all OpenCL1.2-compatible videocards with at least 512M video memory
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- CPU-only mode [`--cpu-mode`]. 8th gen Intel core CPU able to train H64 model in 2 days.
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- Windows build is standalone ready to work program and contains all dependencies (CUDA, OpenCL, ffmpeg, .bat script etc) to start working
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- New models expanding upon the original faceswap model.
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- Model architecture designed with experimentation in mind.
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- Face metadata embedded into extracted JPG files.
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- Extractor and Converter run in parallel.
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- Debug mode option for all stages: [`--debug`]
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- Multiple extraction modes: MTCNN, dlib, or manual.
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#### Extractor Examples
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##### MTCNN
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Predicts faces more uniformly than dlib, resulting in a less jittered aligned output. However, MTCNN extraction will produce more false positives.
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Comparison dlib (at left) vs mtcnn on hard case:
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- **Manual Extractor**
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A manual extractor is available. This extractor uses the preview GUI to allow the user to properly align detected faces.
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This mode can also be used to fix incorrectly extracted faces. Manual extraction can be used to greatly improve training on face sets that are heavily obstructed.
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