v0.1.0-preAlpha
CV-CUDA-0.1.0 is the first release of CV-CUDA. This release is for evaluation purposes only.
Release Highlights
This CV-CUDA release includes the following key features:
Core components including Image and Tensor with Batch support
Utilities to help write CUDA kernels
6 Operators - Reformat, Resize, Custom Crop, Normalize, PadAndStack, ConvertTo
Tensor interoperability with pytorch/gpu, Image interoperability with pytorch/gpu, pillow/cpu, opencv/cpu
Python bindings
Sample applications
API documentation
Compatibility
This section highlights the compute stack CV-CUDA has been tested on
Ubuntu x86 >= 20.04
CUDA driver >= 11.7
The Sample applications based on TensorRT have been tested with TensorRT >= 8.5
Known Issues
There will be few updates in the Tensor API, Image Formats and Operator names in the next release
Limitations in the usage of the operators which are described in the API documentation
License
Nvidia Software Evaluation License