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Generation of visual samples during the training process.
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- deepfakes/faceswap
deepfakes/faceswap
55,289Vezi pe GitHubFaceswap is a comprehensive framework for automated media manipulation and neural face synthesis. It provides a modular pipeline that manages the entire lifecycle of facial feature extraction, deep learning model training, and image conversion. By coordinating complex computer vision workflows, the system enables users to map facial identities between source and destination datasets while maintaining structural alignment and lighting consistency across video frames. The project distinguishes itself through a highly extensible plugin-based architecture that handles hardware-accelerated process
Displays visual samples and mask overlays during training to allow for real-time verification of model performance.
Pythondeep-face-swapdeep-learningdeep-neural-networks
