Crate inference 

Detector factory and runtime configuration for CortenForge inference.

This crate bridges the models crate (Burn Modules) and the vision_core::interfaces::Detector trait. The InferenceFactory loads weights and constructs detector implementations that can be used in vision pipelines.

Backend Selection

• backend-wgpu: Uses WGPU for GPU acceleration (recommended for production).
• Default: Falls back to NdArray CPU backend.

Model Selection

• convolutional_detector: Uses MultiboxModel for multi-box detection.
• Default: Uses LinearClassifier for binary classification.

Type aliases InferenceModel and InferenceModelConfig adapt to the selected features.

Re-exports

pub use factory::InferenceFactory;

pub use factory::InferenceThresholds;

Modules

factory

prelude

Type Aliases

InferenceBackend

InferenceModel

InferenceModelConfig