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Task_Specific_Heads.md

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graph LR
    PVT_Model_Core["PVT Model Core"]
    Task_Specific_Heads["Task-Specific Heads"]
    Model_Orchestrators["Model Orchestrators"]
    Data_Management["Data Management"]
    Training_Evaluation_Logic["Training & Evaluation Logic"]
    Configuration_Management["Configuration Management"]
    Utilities["Utilities"]
    PVT_Model_Core -- "provides features to" --> Task_Specific_Heads
    PVT_Model_Core -- "is utilized by" --> Model_Orchestrators
    Task_Specific_Heads -- "consumes features from" --> PVT_Model_Core
    Task_Specific_Heads -- "produces predictions for" --> Model_Orchestrators
    Model_Orchestrators -- "integrates" --> PVT_Model_Core
    Model_Orchestrators -- "integrates" --> Task_Specific_Heads
    Model_Orchestrators -- "manages" --> Training_Evaluation_Logic
    Data_Management -- "supplies datasets to" --> Training_Evaluation_Logic
    Training_Evaluation_Logic -- "consumes data from" --> Data_Management
    Training_Evaluation_Logic -- "trains and evaluates" --> Model_Orchestrators
    Configuration_Management -- "provides settings to" --> Model_Orchestrators
    Configuration_Management -- "provides settings to" --> Training_Evaluation_Logic
    Utilities -- "provides helper functions to" --> Data_Management
    Utilities -- "provides helper functions to" --> Training_Evaluation_Logic
    Utilities -- "provides helper functions to" --> Model_Orchestrators
    click PVT_Model_Core href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/PVT/PVT_Model_Core.md" "Details"
    click Task_Specific_Heads href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/PVT/Task_Specific_Heads.md" "Details"
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Details

This architecture focuses on a modular design for computer vision tasks using Pyramid Vision Transformers (PVT). The core idea is to separate the feature extraction (PVT Model Core) from the task-specific prediction heads, allowing for flexible adaptation to various applications like classification, object detection, and semantic segmentation. The system orchestrates data flow from management components through training and evaluation, all configurable via a dedicated management system.

PVT Model Core [Expand]

The foundational component responsible for extracting hierarchical visual features from input data. It serves as the backbone for various computer vision tasks by processing images through multiple stages of attention and spatial reduction.

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Task-Specific Heads [Expand]

Interchangeable output layers or modules tailored for specific computer vision tasks (e.g., classification, object detection, semantic segmentation). They consume features from the PVT Model Core and produce task-specific predictions.

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Model Orchestrators

Manages the overall forward pass of the complete model, integrating the PVT Model Core for feature extraction and attaching the appropriate Task-Specific Heads to generate final predictions. This component also handles the overall training and evaluation workflow.

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Data Management

Responsible for loading, preprocessing, augmenting, and managing datasets for training, validation, and testing of the models. It ensures data is correctly formatted and accessible for the training and evaluation processes.

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Training & Evaluation Logic

Encapsulates the training loops, optimization strategies, loss calculations, and performance evaluation metrics for the models. It interacts with the Data Management component to retrieve data and with the Model Orchestrators to perform forward and backward passes.

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Configuration Management

Handles the loading, parsing, and management of configuration parameters, hyperparameters, and model settings. It provides essential settings to other components, particularly for model initialization and training.

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Utilities

Provides a collection of general-purpose helper functions, common algorithms, and reusable modules that support various components across the project, such as distributed training setup and general-purpose tools.

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FAQ