MONAI Stream 0.1.0

Added

Highlights

• Framework for developing and deploying inference apps for streaming video data
• Supports MONAI Transforms for image transformations in the streaming pipeline
• Supports native inference (e.g using PyTorch) as well as Triton Inference Server model deployments

Sample Apps

• Ultrasound image segmentation using MONAI transforms on x86
• Ultrasound image segmentation using CUPy transformations for x86 and Clara Holoscan devices
• AJA video capture

Pre-trained models & sample data

This release contains example models and sample data for two streaming use cases -- ultrasound and endoscopy. Each dataset contains the models in the forms of pytorch jit, onyx and cagx-trt. Also included are licenses and sample videos, both the input video and ground truth segmentations.

• Ultrasound: for detecting spine scoliosis (full data is available here)
• Endoscopy: CholecSeg8K data (full dataset available here).