deepface/.codeboarding/Core_Processing_Engine.md

graph LR
    Core_Processing_Engine["Core Processing Engine"]
    Model_Management_Component["Model Management Component"]
    Face_Detection_Component["Face Detection Component"]
    Facial_Representation_Component["Facial Representation Component"]
    Verification_Component["Verification Component"]
    Recognition_Component["Recognition Component"]
    Demography_Analysis_Component["Demography Analysis Component"]
    Streaming_Analysis_Component["Streaming Analysis Component"]
    Image_Utilities_Component["Image Utilities Component"]
    Logging_Component["Logging Component"]
    Core_Processing_Engine -- "Orchestrates" --> Face_Detection_Component
    Core_Processing_Engine -- "Orchestrates" --> Facial_Representation_Component
    Core_Processing_Engine -- "Orchestrates" --> Verification_Component
    Core_Processing_Engine -- "Orchestrates" --> Recognition_Component
    Core_Processing_Engine -- "Orchestrates" --> Demography_Analysis_Component
    Core_Processing_Engine -- "Orchestrates" --> Streaming_Analysis_Component
    Face_Detection_Component -- "Utilizes" --> Model_Management_Component
    Face_Detection_Component -- "Uses" --> Image_Utilities_Component
    Facial_Representation_Component -- "Utilizes" --> Model_Management_Component
    Facial_Representation_Component -- "Uses" --> Image_Utilities_Component
    Verification_Component -- "Relies on" --> Facial_Representation_Component
    Verification_Component -- "Utilizes" --> Model_Management_Component
    Recognition_Component -- "Uses" --> Facial_Representation_Component
    Recognition_Component -- "Uses" --> Face_Detection_Component
    Recognition_Component -- "Leverages" --> Verification_Component
    Demography_Analysis_Component -- "Utilizes" --> Model_Management_Component
    Demography_Analysis_Component -- "Uses" --> Image_Utilities_Component
    Streaming_Analysis_Component -- "Leverages" --> Core_Processing_Engine
    Core_Processing_Engine -- "Reports to" --> Logging_Component
    Model_Management_Component -- "Reports to" --> Logging_Component
    Face_Detection_Component -- "Reports to" --> Logging_Component
    click Core_Processing_Engine href "https://github.com/CodeBoarding/deepface/blob/master/.codeboarding/Core_Processing_Engine.md" "Details"

Details

Overview of the DeepFace library's abstract components, focusing on the Core Processing Engine and its interactions with fundamental modules for facial analysis.

Core Processing Engine [Expand]

The central orchestrator of the DeepFace library, responsible for coordinating and executing all high-level face-related tasks. It integrates and manages the execution flow between specialized modules for face detection, facial representation, verification, recognition, demography analysis, and real-time streaming, ensuring a cohesive and efficient facial analysis pipeline. It acts as the "brain" that ties together the various deep learning functionalities.

Related Classes/Methods:

• deepface.modules.detection (0:0)
• deepface.modules.representation (0:0)
• deepface.modules.verification (0:0)
• deepface.modules.demography (0:0)
• deepface.modules.recognition (0:0)
• deepface.modules.streaming (0:0)

Model Management Component

Responsible for building, loading, and managing the various deep learning models (detectors, recognizers, demography models) required for face analysis. It ensures models are initialized and available.

Related Classes/Methods:

• deepface.modules.modeling (0:0)
• deepface.models.Detector (9:27)
• deepface.models.FacialRecognition (15:47)
• deepface.models.Demography (15:67)

Face Detection Component

Identifies and extracts facial regions from input images or video frames, providing normalized and aligned face images for subsequent processing. It's a prerequisite for most other tasks.

Related Classes/Methods:

• deepface.modules.detection (0:0)
• deepface.models.face_detection (0:0)

Facial Representation Component

Converts detected facial images into numerical embeddings (vectors) that capture unique facial features, enabling quantitative comparisons between faces.

Related Classes/Methods:

• deepface.modules.representation (0:0)
• deepface.models.facial_recognition (0:0)

Verification Component

Compares two facial embeddings to determine if they belong to the same individual, calculating distances and applying thresholds for identity confirmation.

Related Classes/Methods:

• deepface.modules.verification (0:0)

Recognition Component

Searches for a given face within a database of known faces, identifying potential matches based on facial embeddings and verification logic.

Related Classes/Methods:

• deepface.modules.recognition (0:0)

Demography Analysis Component

Analyzes detected faces to predict demographic attributes such as age, gender, emotion, and race using specialized deep learning models.

Related Classes/Methods:

• deepface.modules.demography (0:0)
• deepface.models.demography (0:0)

Streaming Analysis Component

Manages the real-time processing of video streams for continuous face detection, recognition, and demographic analysis, applying other DeepFace functionalities in a live context.

Related Classes/Methods:

• deepface.modules.streaming (0:0)

Image Utilities Component

Provides common utility functions for image loading, resizing, alignment, and basic manipulation, serving as a foundational support for all image-processing tasks.

Related Classes/Methods:

• deepface.commons.image_utils (0:0)

Logging Component

Handles the logging of information, warnings, and errors throughout the DeepFace system, providing crucial insights for debugging and monitoring.

Related Classes/Methods:

• deepface.commons.logger (0:0)

FAQ