Konferenzen und Rahmenprogramm
APIs for Accelerating Embedded Vision and Inferencing: and Industry Overview of Options and Trade-offs
Embedded vision and inferencing is seeing rapid momentum as advances in GPU technology have put powerful compute hardware in the hands of machine learning developers. The landscape of SDKs, APIs and file formats for accelerating inferencing and vision applications continues to evolve. Low-level compute APIs, such as OpenCL, Vulkan from The Khronos Group and CUDA are being used to accelerate inferencing engines such as OpenVX, CoreML, NNAPI and TensorRT, being fed by Neural Network file formats such as NNEF and ONNX.€¯ Some of these APIs, like OpenCV, are vision-specific, while others, like OpenCL, are general-purpose. €¯Some engines, like CoreML and TensorRT, are supplier-specific, while others such as OpenVX are open standards that any supplier can adopt. €¯This session addresses the various open standard and proprietary APIs, discusses the benefits and tradeoffs and helps attendees decide which ones they should use for their embedded vision projects.
--- Datum: 27.02.2020 Uhrzeit: 12:00 - 12:30 Uhr Ort: Conference Counter NCC Ost