detections/_docs/02_document/modules/inference_engine.md

Module: inference_engine

Purpose

Abstract base class defining the interface that all inference engine implementations must follow.

Public Interface

Class: InferenceEngine

Fields

Field	Type	Description
batch_size	int	Number of images per inference batch

Methods

Method	Signature	Description
__init__	(bytes model_bytes, int batch_size=1, **kwargs)	Stores batch_size
get_input_shape	() -> tuple	Returns (height, width) of model input. Abstract — raises NotImplementedError
get_batch_size	() -> int	Returns self.batch_size
run	(input_data) -> list	Runs inference on preprocessed input blob. Abstract — raises NotImplementedError

Internal Logic

Pure abstract class. All methods except get_batch_size raise NotImplementedError and must be overridden by subclasses (OnnxEngine, TensorRTEngine).

Dependencies

• External: numpy (declared in .pxd, not used in base)
• Internal: none (leaf module)

Consumers

• onnx_engine — subclass
• tensorrt_engine — subclass
• inference — type reference in .pxd

Data Models

None.

Configuration

None.

External Integrations

None.

Security

None.

Tests

None found.