niomteam.blogg.se - Starus Word Recovery 4.6 for ios instal

#23597 Fixed issues in Stateful Python kernel state handling also fixed various issues in Python tests.#23597 Exposed Fluid kernels and kernel package manipulation functions ( combine()) in Python.#23597 Exposed varions normalization options for ONNX RT backend in Python bindings.Now it is the minimum version required to build this backend. #23597 Updated G-API ONNX RT backend to support ONNX RT version 1.14.1.Microsoft® ONNX Runtime inference backend: #23799 Implemented the required inference operations for the OpenVINO API 2.0 backend.#23595 Introduced a brand new OpenVINO API 2.0 backend.#23796 Aligned OpenVINO IE API 1.0 backend with the latest OpenVINO 2023.0 (as some features were removed there).Note: this backend will be deprecated after OpenVINO removes the API 1.0 support in its subsequent releases.

#23668 #23786 Streamlined preprocessing in OpenVINO Inference Engine (ie) API 1.0 backend.

#22750 Added API blobFromImageParam to build network inputs with pre-processings.

#23349 Vulkan backend refactor for better performance and robustness.

Added full FP16 computation branch on ARMv8 platform, 1.5x faster than FP32 #22275(FP16 Winograd is still pending).

Further increased DNN speed on ARM and X86 by improving convolution, covering 1D and 3D cases, supporting convolution+element-wise op fusion.

Fixes in nary element wise layer about broadcast:.

#23491 Fixes for Segment Anything Model by Meta.

#23613 Reduce Refactor for robustness and potential follow-up improvements.

#23401 support ONNX Sub, PRelu, ConvTranspose.

#23319 support ONNX Split, Slice, Clip (Relu6) and Conv with auto_pad.

ONNX: #23047 Layer normalization, #23219 GELU and #23655 QLinearSoftmax.

Improved layers => supported more models:.

#23604 Enabled DNN module build without Protobuf dependency.#23161, #23409 TFLite models support, including int8 quantized models.Summer update for OpenCV 4.x has been released. Building more compact applications with OpenCV.TIM-VX Backend For Running OpenCV On NPU.