7.0 KiB
graph LR
DeepFace_API_Entry_Points["DeepFace API & Entry Points"]
Core_Processing_Engine["Core Processing Engine"]
Model_Weight_Management["Model & Weight Management"]
Deep_Learning_Models["Deep Learning Models"]
Image_Preprocessing_Utilities["Image & Preprocessing Utilities"]
DeepFace_API_Entry_Points -- "interacts with" --> Core_Processing_Engine
DeepFace_API_Entry_Points -- "uses" --> Image_Preprocessing_Utilities
Core_Processing_Engine -- "orchestrates" --> Deep_Learning_Models
Core_Processing_Engine -- "relies on" --> Model_Weight_Management
Core_Processing_Engine -- "processes with" --> Image_Preprocessing_Utilities
Model_Weight_Management -- "manages" --> Deep_Learning_Models
click DeepFace_API_Entry_Points href "https://github.com/CodeBoarding/deepface/blob/master/.codeboarding/DeepFace_API_Entry_Points.md" "Details"
click Core_Processing_Engine href "https://github.com/CodeBoarding/deepface/blob/master/.codeboarding/Core_Processing_Engine.md" "Details"
click Model_Weight_Management href "https://github.com/CodeBoarding/deepface/blob/master/.codeboarding/Model_Weight_Management.md" "Details"
click Deep_Learning_Models href "https://github.com/CodeBoarding/deepface/blob/master/.codeboarding/Deep_Learning_Models.md" "Details"
click Image_Preprocessing_Utilities href "https://github.com/CodeBoarding/deepface/blob/master/.codeboarding/Image_Preprocessing_Utilities.md" "Details"
Details
High-level data flow overview of the deepface project, identifying its central modules, their responsibilities, and their interactions.
DeepFace API & Entry Points [Expand]
This component serves as the primary interface for users to interact with the DeepFace library. It encompasses both the direct Python API (deepface.DeepFace) for programmatic access and the web API (deepface.api.src.app, deepface.api.src.modules.core.routes, deepface.api.src.modules.core.service) for web-based requests. It handles initial user requests and delegates them for core processing.
Related Classes/Methods:
deepface.DeepFace(1:1)deepface.api.src.app(1:1)deepface.api.src.modules.core.routes(1:1)deepface.api.src.modules.core.service(1:1)
Core Processing Engine [Expand]
The heart of the DeepFace library, this component implements the core logic for all face-related tasks such as detection, representation, verification, demography analysis, recognition, and streaming. It orchestrates the execution flow by calling specific deep learning models and utility functions.
Related Classes/Methods:
deepface.modules.detection(1:1)deepface.modules.representation(1:1)deepface.modules.verification(1:1)deepface.modules.demography(1:1)deepface.modules.recognition(1:1)deepface.modules.streaming(1:1)
Model & Weight Management [Expand]
This component is responsible for the dynamic loading, building, caching, and management of various pre-trained deep learning models and their associated weights. It ensures that the necessary models and their parameters are available to the Core Processing Engine when required.
Related Classes/Methods:
Deep Learning Models [Expand]
This component comprises the actual implementations of specialized deep learning models used for different facial analysis tasks. This includes models for face detection, facial recognition (embedding generation), demography prediction (age, gender, emotion, race), and presentation attack detection (spoofing).
Related Classes/Methods:
deepface.models.demography(1:1)deepface.models.face_detection(1:1)deepface.models.facial_recognition(1:1)deepface.models.spoofing(1:1)
Image & Preprocessing Utilities [Expand]
A collection of essential helper functions for handling image data. This includes functionalities for loading, resizing, aligning, normalizing, and general manipulation of images, which are crucial steps before feeding images into deep learning models.
Related Classes/Methods: