Prebuilt deep-vision-processing lib version v0.10.0.

• Removed CUDA package builds from the GitHub Actions release workflow to avoid CI artifact and file-size limitations
• Dropped the FX2D renderer from all Processing examples and tests, simplifying setup and avoiding renderer-specific issues
• Bumped the library version to v0.10.0 and modernized the build to Java 17 (including CI)
• Updated the native and computer-vision dependency stack:
  • Gradle JavaCPP platform plugin: 1.5.8 -> 1.5.10
  • JavaCV: 1.5.8 -> 1.5.12
  • OpenCV: 4.6.0 -> 4.11.0
  • OpenBLAS: 0.3.21 -> 0.3.30
  • Tesseract: 5.2.0 -> 5.5.1
  • CUDA redist (when enabled): 11.8.x -> 12.9.x
• Switched Processing dependencies from bundled JARs to Maven artifacts:
  • Processing core 4.5.0
  • JOGL / Gluegen 2.5.0
  • Processing dependencies are now compileOnly (excluded from the fat jar, but available in tests)
• Updated MultiHumanPoseNetwork to match newer OpenCV APIs by explicitly specifying the algorithm hint for GaussianBlur

Prebuilt deep-vision-processing libs version v0.9.0.

Prebuilt deep-vision-processing libs version 0.8.2.

What's Changed

• Gradle and processing4 update by @codeanticode in #14

New Contributors

• @codeanticode made their first contribution in #14

Full Changelog: v0.8.1-alpha...v0.8.2-alpha

Prebuilt deep-vision-processing libs version 0.8.1.

Prebuilt deep-vision-processing libs version 0.8.0.

Prebuilt deep-vision-processing libs version 0.7.1.

Updated to JavaCPP 1.5.6 with OpenCV 4.5.3 and OpenBLAS 0.3.17.

To use CUDA backends on multiple platforms please use the download from GoogleDrive:

• deepvision-cuda-0.7.0.7z [6.1 GB]

This is the release that is hosted for the Processing contribution manager.

This release updates to OpenCV 4.5.1 and CUDA 11.2 (CuDnn 8.4) and support for CUDA on Linux-arm64 platforms.

To use CUDA backends on multiple platforms please use the download from GoogleDrive:

• deepvision-cuda-0.6.2.7z [5.3GB]

This release contains a lot of performance and memory leak bug fixes.
Also it removes dependency on PImage resize in the Midas Network.

To use CUDA backends on multiple platforms please use the download from GoogleDrive:

• deepvision-cuda-0.6.1.zip [3.5GB]