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DeepFaceLab alternatives
DeepFaceLab is a powerful open source facial landmark detection library that can help you detect and track landmarks on your own deep neural networks trained by millions of datasets. It has been built with a strong focus on performance, making it faster than other state-of-the-art libraries. It also offers a new Deep Convolutional Neural Network architecture that allows for fast inference on mobile platforms and efficient multi-threading capabilities. The library is well tested and comes with extensive documentation and example code that will guide you through the whole process of deep learning face recognition.
DeepFaceLab makes it extremely easy to track and detect the following facial features hairline, eyebrows, eyes, nose, mouth, jaw, left and right ears. You can create your own videos with people’s faces from videos and images from social networks. The process is completely automated and customizable. The software accepts any kind of videos, face type, and skin color and gives consistently high results. The end result is not just a video but a realistic digital animation.




















