Search Results for "active shape model"

MegEngine is a fast, scalable and easy-to-use deep learning framework with 3 key features. You can represent quantization/dynamic shape/image pre-processing and even derivation in one model. After training, just put everything into your model and inference it on any platform at ease. Speed and precision problems won't bother you anymore due to the same core inside. In training, GPU memory usage could go down to one-third at the cost of only one additional line, which enables the DTR algorithm. ...

QP real-time event frameworks (RTEFs) provide lightweight, modern, event-driven architecture based on asynchronous Active Objects (Actors) and Hierarchical State Machines. The matching QM model-based design tool and other host-based tools complement the QP frameworks by supporting graphical modeling, code generation, software tracing, and unit testing for event-driven embedded software. Visit https://www.state-machine.com for more information. The QP RTEFs can run on bare-metal microcontrollers, replacing a traditional RTOS. ...

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Expressive architecture encourages application and innovation. Models and optimization are defined by configuration without hard-coding. Switch between CPU and GPU by setting a single flag to train on a GPU machine...

GambleKit is a free open-source C++ object oriented library for quick and easy building of slot machine and gambling games with reels and GUI management. It relies basically on declarative programming style, so the programmer needs simply to declare, for example at creation time, the basic layout and behavior of the game, and then leave the game flow, requiring as little additional intervention as possible. The project is welcoming contributors and feedback is appreciated! The next...