Releases: NVIDIA/clara-viz
Releases · NVIDIA/clara-viz
v0.4.0
Features
- Add Python and pybind11 source code
- Add support for Python 3.10 and 3.11 packages and set Python wheel requirement to fail installation on unsupported Python versions
Bug Fixes
v0.3.2
Features
- Support camera pose for non-stereo cases as well
Bug Fixes
- Fix cmake warnings and consolidate cmake_minimum_required() usage
- Fix compile warning in NvEnvService.cpp
v0.3.1
Bug Fixes
- Gracefully disable OptiX denoiser if it can't be created
- make nvjpeg support optional
v0.3.0
Features
- C++ interface is now public
- Add support for aarch64 (not for Python wheels)
- Add support for VR/AR rendering
- Camera has stereo mode and left end right eye poses, tangents and gaze directions
- Add warped and foveated rendering
- Add reprojection
- Add support for separate depth buffer
- Add support for alpha channel
- Add support for near and far depth plane
- Add support for transforming the volume using a matrix
Bug Fixes
- Fix tonemap enable, had no effect before (always enabled).
- AttributeError: module 'itk' has no attribute 'itkSpatialOrientationPython' (#26)
Security
- Update Jupyter widget Java code packages to fix vulnerability CVE-2022-46175
v0.2.2
Bug Fixes
- Jupyter notebooks fail with AttributeError: 'Widget' object has no attribute 'on_displayed' (#23)
Security
- Update Jupyter widget Java code packages to fix vulnerabilities
Documentation
- pip install fails on Windows machines (#22)
- Windows is not supported, added a section on supported OS to readme
v0.2.1
Bug Fixes
- Widget can't be displayed because of version mismatch
v0.2.0
Features
- Add support for rendering multi resolution images used in digital pathology
Security
- Update Jupyter widget Java code packages to fix vulnerabilities
Bug Fixes
- Error when using a widget with a renderer using a numpy array (#18)
Documentation
- Fix typo for image_type parameter in the sample code of the readme file
- Extended documentation, added multi resolution image rendering
v0.1.4
v0.1.3
v0.1.2
Bug Fixes
- When the renderer is immediately destroyed after creation there is a segmentation fault. This could happen when providing a unsupported data type (e.g. 64 bit floating point values), when creating a temporary object (e.g. in Python
print(Renderer(data)))
) or when the initialization of the Renderer failed. (#7, #8) - Widget is not working with Jupyter Notebooks (but with Jupyter Lab) (#9)
Documentation
- Added missing
video
capability to docker run command