- Add 'download-binaries' feature to ort crate in Cargo.toml to ensure ONNX Runtime binaries are downloaded during build
- Update .dockerignore to allow Machine_Learning/model/model.onnx through build context while still excluding other generated model artifacts (saved_model, tfjs_model, tflite)
- Dockerfile can now successfully copy model.onnx at runtime
Co-Authored-By: Claude Code <noreply@anthropic.com>
Create Rust crate skeleton with Cargo.toml, main.rs, and config.rs.
Includes package metadata, dependencies (anyhow, axum, image, ndarray,
ort, serde, tokio, tower, tracing), and config module with LABELS
constants, SERVICE_NAME, SERVICE_VERSION, DEFAULT_INPUT_SIZE, and
resolve_model_path function. Config tests verify label order, relative
path resolution, and absolute path preservation.
Also includes approved spec and implementation plan documents.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
MythEclipse