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JavaCPP Presets 1.5.3
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@saudet saudet released this 14 Apr 09:35
· 554 commits to master since this release
1.5.3
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saudet Samuel Audet
GPG key ID: EEC319672E4D0671
Learn about vigilant mode.
ba4c7a2
This commit was signed with the committer’s verified signature.
saudet Samuel Audet
GPG key ID: EEC319672E4D0671
Learn about vigilant mode.

April 14, 2020 version 1.5.3

  • Add presets for the new intensity_transform and rapid modules of OpenCV
  • Add support for Polly optimizer to presets for LLVM (pull #864)
  • Fix loading issue with opencv_dnn_superres (issue bytedeco/javacv#1396)
  • Add support for Windows to presets for TensorRT (pull #860)
  • Add dependency on presets for jnijavacpp and javacpp-platform artifact to fix issues at load time (issue bytedeco/javacv#1305)
  • Bundle the official Java API of ONNX Runtime via the jnionnxruntime library
  • Add CUDA-enabled build for ONNX Runtime via -gpu extension
  • Fix presets for LLVM 9.0 where libclang would fail to load on Windows (issue #830)
  • Add Windows build for ONNX Runtime, map the C++ API, and refine support for DNNL (pull #841)
  • Add convenient Py_AddPath() helper method to presets for CPython
  • Include OrcBindings.h and other missing header files for LLVM (issue #833)
  • Fix -platform artifacts on JPMS by commenting out requires to Android modules (issue #814 and pull #831)
  • Include timecode.h, among other missing header files, in the avutil module of FFmpeg (issue #822)
  • Map a few more inherited constructors missing from the presets for MKL-DNN and DNNL
  • Make sure clone() actually returns new PIX, FPIX, or DPIX objects with presets for Leptonica
  • Add opencv_python3 module and corresponding loader class with sample code to the presets for OpenCV
  • Bundle OpenSSL in the presets for CPython for consistency across platforms (issue #796)
  • Add presets for Arrow 0.16.0, SciPy 1.4.1 (issue #747), Gym 0.17.1, Hyperscan 5.2.1 (pull #849)
  • Upgrade presets for OpenCV 4.3.0, FFmpeg 4.2.2, Spinnaker 1.27.0.48, HDF5 1.12.0, MKL 2020.1, MKL-DNN 0.21.4, DNNL 1.3, OpenBLAS 0.3.9, CPython 3.7.7, NumPy 1.18.2, LLVM 10.0.0, CUDA 10.2, cuDNN 7.6.5, NCCL 2.6.4, MXNet 1.6.0, TensorFlow 1.15.2, TensorRT 7.0, ALE 0.6.1, Leptonica 1.79.0, Tesseract 4.1.1, ONNX Runtime 1.2.0, Qt 5.14.2, Skia 1.68.1, and their dependencies
Assets 5
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