Search Results for "inference"

...The project is production-oriented, not just a toy: it uses Bytescale for storage and image processing, Vercel for hosting and serverless functions, Auth.js + Neon for authentication and database, and Upstash Redis for rate limiting. This combination makes it a good blueprint for building real-world AI apps that must deal with authentication, quotas, and storage as well as inference.

...Models can be exported and run in several backends, and more will be compatible. All kinds of modules in the SDK can be extended, such as Transform for image processing, Net for Neural Network inference, Module for postprocessing and so on. Install and build your target backend. ONNX Runtime is a cross-platform inference and training accelerator compatible with many popular ML/DNN frameworks. Please read getting_started for the basic usage of MMDeploy.

...Outputs include textured meshes, joint locations, and model parameters that can be exported to common DCC tools and game engines. The codebase offers pretrained models, clear inference scripts, and utilities to visualize results, making single-camera motion capture approachable on commodity hardware. Researchers and creators use it for motion studies, AR/VR prototyping, character animation, and human-in-the-loop editing.

Extreme Attention Guided Salient Object Tracing Network (AAAI 2022) implementation in PyTorch. Now, fast inference mode offers a salient object result with the mask. You can get the more clear salient object by tuning the threshold. We will release initializing TRACER with a version of pre-trained TE-x.

...TensorSpace is a neural network 3D visualization framework designed for not only showing the basic model structure but also presenting the processes of internal feature abstractions, intermediate data manipulations and final inference generations. By applying TensorSpace API, it is more intuitive to visualize and understand any pre-trained models built by TensorFlow, Keras, TensorFlow.js, etc.

RNNLIB is a recurrent neural network library for sequence learning problems. Applicable to most types of spatiotemporal data, it has proven particularly effective for speech and handwriting recognition. full installation and usage instructions given at http://sourceforge.net/p/rnnl/wiki/Home/