This standard defines a set of application programming interfaces (APIs) for use with different deep learning (DL) inference engines. The interfaces include parameter reading, model compilation optimization, operator registration, thread management, input/output data acquisition, inference instance creation, and inference execution.
This standard describes an ECMAScript application programming interface (API) for content-to-runtime-services communication. This standard is based on an API defined in the "CMI Guidelines for Interoperability," version 3.4, defined by the Aviation Industry CBT Committee (AICC). It defines common API services in the ECMAScript language that enables the communication of information between learning-related content, and a runtime service (RTS) used to support learning management. This standard… read more does not address the data structures that may be transmitted, data security, or communication between an RTS and a related management system. read less
This standard establishes the application programming interfaces (API) model of the computer vision systems. It specifies the functional and technical requirements of the API between the computer vision algorithm, deep-learning framework, and the data set in the process of algorithm development and application. This standard is suitable for the adaptation and invocation of computer vision algorithms using deep learning frameworks.