```mermaid
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"
```
[](https://github.com/CodeBoarding/GeneratedOnBoardings)[](https://www.codeboarding.org/demo)[](mailto:contact@codeboarding.org)
## 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]](./Core_Processing_Engine.md)
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](https://github.com/CodeBoarding/GeneratedOnBoardings/tree/main?tab=readme-ov-file#faq)