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Edge Image Process

Project description

EIP

Edge Image Process.

Install From Git

pip-install-eip-gif

Install directly from the official GitHub repository:

pip install eip-cli

Upgrade to the latest main:

pip install --upgrade --force-reinstall eip-cli

Verify The Install

After installation, verify that the CLI and TUI both start:

eip --help
eip --tui

Run the current smoke-path workflow with a pre-segmented case:

eip run --input /path/to/case.image.nrrd --seg-input /path/to/case.seg.nrrd --backend none --output /path/to/out

Deep Learning Runtime

torch and nnUNetv2 are not installed by default. Detect, install, and verify them from Settings -> CLI Environment in the TUI.

Developer Setup

Use the WSL Eip conda environment for development and verification.

source ~/miniconda3/etc/profile.d/conda.sh
conda activate Eip
python -m pip install -e ".[dev]"

TUI Notes

The current TUI supports:

  • four top-level pages: execution, profiles, settings, and logs
  • execution command detail forms from the execution hub
  • recursive path completion with a visible candidate list
  • keyboard path selection via Up, Down, Tab, Right, and Esc
  • optional Browse button fallback that keeps TUI path entry working when GUI dialogs are disabled or unavailable
  • profile-name persistence and TUI settings persistence under the local storage root
  • log level filtering plus refresh interval state on the logs page
  • left/right page switching and a scrollable page body container

Current Scope

The current implementation includes:

  • Git-based package installation
  • CLI entrypoint and doctor
  • config bootstrap and storage migration helpers
  • logging setup and structured TUI runtime events
  • NRRD read/write
  • slicing
  • morphology refinement and hotspot map
  • centroid and polar export helpers
  • built-in U-Net asset resolution
  • nnU-Net command adapter
  • Textual TUI shell with execution, profiles, settings, logs, recursive path input, and keyboard navigation

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