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#python #ai #ai_deep_fake #ai_face #ai_webcam #artificial_intelligence #deep_fake #deepfake #deepfake_webcam #faceswap #fake_webcam #real_time_deepfake #realtime_deepfake #realtime_face_changer #video_deepfake #webcam #webcamera

Deep Live Cam is a powerful tool that allows you to perform real-time face swaps and create video deepfakes with just a single click and one image. It's designed to help artists animate custom characters or use them as models for clothing, among other tasks. The software includes built-in checks to prevent processing inappropriate content and requires users to obtain consent before using someone's face.

You can easily download and use the pre-built version with CUDA support, or manually install it if you have technical skills. The tool offers features like resizable preview windows, face mapping, and various command line arguments for customization. It also supports different execution providers like CUDA, CoreML, and DirectML for optimized performance.

Using Deep Live Cam responsibly and legally is crucial; always label any output as a deepfake when sharing online. This tool simplifies complex tasks and enhances creativity, making it beneficial for artists and content creators who need advanced face swapping capabilities.

https://github.com/hacksider/Deep-Live-Cam
#python #deeplabv3 #image_segmentation #medical_image_segmentation #pspnet #pytorch #realtime_segmentation #retinal_vessel_segmentation #semantic_segmentation #swin_transformer #transformer #vessel_segmentation

MMSegmentation is an open-source semantic segmentation toolbox based on PyTorch, part of the OpenMMLab project. It offers a unified benchmark for various semantic segmentation methods, a modular design allowing easy customization, and support for multiple popular segmentation frameworks like PSPNet and DeepLabV3+. The toolbox is highly efficient and provides detailed tutorials, advanced guides, and support for numerous datasets and backbones. This makes it a powerful tool for researchers and developers to implement and develop new semantic segmentation methods efficiently. By using MMSegmentation, you can leverage its flexibility, extensive features, and community support to enhance your projects in image segmentation tasks.

https://github.com/open-mmlab/mmsegmentation
#typescript #ai #alternative #auth #database #deno #embeddings #example #firebase #nextjs #oauth2 #pgvector #postgis #postgres #postgresql #postgrest #realtime #supabase #vectors #websockets

Supabase is an open-source alternative to Firebase, built using enterprise-grade tools. It offers a hosted Postgres database, authentication and authorization, auto-generated APIs (REST, GraphQL, and realtime subscriptions), functions, file storage, and an AI toolkit. You can use it without installing anything or self-host it. Supabase supports multiple programming languages and has a strong community for support and discussions. This means you get powerful database and application features similar to Firebase but with the flexibility and transparency of open-source software, which can be more customizable and cost-effective.

https://github.com/supabase/supabase