Release Notes
0.1.14 [2024-01-12]
Fixes:
- Fixed model path configuration in CI to use
traced_ts_model.ptinstead oftraced_ts_model - Corrected MONAI package command to properly reference model file with full path
${MONAI_MAP_PATH}/${MONAI_MODEL_PATH}
0.1.13 [2023-12-14]
Maintenance:
- Updated
monai-deploy-app-sdkfrom0.5.0to0.5.1
0.1.12 [2023-12-09]
Fixes:
- Fixed
pythoninterpreter path in command from/usr/bin/pythonto/opt/conda/bin/python
0.1.11 [2023-11-21]
Fixes:
- Downgraded base image from
nvcr.io/nvidia/pytorch:23.08-py3tonvcr.io/nvidia/pytorch:22.08-py3for compatibility - Downgraded
pythonrequirement from^3.10to^3.8for broader compatibility
0.1.10 [2023-10-25]
Enhancements:
- Added support for processing ZIP archive inputs containing DICOM files
Fixes:
- Fixed Docker image publishing to use
flywheel/registry consistently
Maintenance:
- Updated
torchfrom>=2.0.0, !=2.0.1to=2.0.0 - Updated
monai-deploy-app-sdkfrom0.5.1to0.5.0 - Added CI configuration tags for large Docker builds
- Updated base image reference in documentation from
pytorch:22.08-py3topytorch:23.08-py3 - Removed version parameter from
ModelInfoinitialization - Simplified CI pipeline Docker image variable handling
0.1.8 [2023-09-14]
Enhancements:
- Updated
pythonfrom3.8to3.10 - Added
torch>=2.0.0, !=2.0.1dependency for improved PyTorch compatibility
Maintenance:
- Updated base image from
nvcr.io/nvidia/pytorch:22.08-py3tonvcr.io/nvidia/pytorch:23.08-py3 - Updated
monai-deploy-app-sdkfrom0.5.0to0.5.1
0.1.7 [2023-03-16]
Enhancements:
- Added GPU support with NVIDIA CUDA environment configuration including
NVIDIA_VISIBLE_DEVICES,NVIDIA_DRIVER_CAPABILITIES, andNVIDIA_REQUIRE_CUDAenvironment variables
0.1.6 [2023-03-15]
Documentation:
- Added source URL reference to MONAI Model Zoo
- Added project repository URL to manifest
0.1.5 [2023-02-17]
Enhancements:
- Added breast density classification gear for mammogram images using MONAI Model Zoo
- Added support for BI-RADS category classification (A-D) on DICOM mammogram images
- Added file metadata updates with classification results in Flywheel platform
- Added optional JSON export of model results and job details via
save-jsonconfig flag
Documentation:
- Added comprehensive README with gear overview, usage instructions, and workflow diagrams
- Added CONTRIBUTING guide with development setup, dependency management, and release process
- Added implementation details documentation for MONAI Application Package (MAP) build
Maintenance:
- Added CI/CD pipeline configuration with pre-commit hooks, Docker publishing, and release automation
- Added
flywheel-gear-toolkit0.6.8for Flywheel integration - Added
monai1.1.0andmonai-deploy-app-sdk0.5.0for model deployment - Added
pydicom2.3.1andhighdicom0.20.0for DICOM processing - Added pre-commit hooks for
black,markdownlint, and manifest validation