# thu-mig/yolov10 architecture

> Architecture diagram of the GitHub repository thu-mig/yolov10, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-09-25). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/thu-mig/yolov10
- Repository: https://github.com/thu-mig/yolov10

## Overview

Ultralytics is a computer-vision framework for loading models and performing prediction, training, validation, export, tracking, and related workflows. The main runtime path is user input through the model API and task predictor to predictions and results; training and validation form a separate data-and-model lifecycle. The README emphasizes YOLOv10 detection, while the tree documents additional model families and tasks. Source excerpts are partial, so uncertain internal wiring is omitted.

Main entry points: [`ultralytics/engine/model.py`](https://github.com/thu-mig/yolov10/blob/main/ultralytics/engine/model.py) (Model API), [`ultralytics/nn/tasks.py`](https://github.com/thu-mig/yolov10/blob/main/ultralytics/nn/tasks.py) (Neural Network), [`ultralytics/engine/predictor.py`](https://github.com/thu-mig/yolov10/blob/main/ultralytics/engine/predictor.py) (Prediction Runtime), [`ultralytics/engine/validator.py`](https://github.com/thu-mig/yolov10/blob/main/ultralytics/engine/validator.py) (Validation Engine)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_api["User API"]
  node_app["Gradio Demo<br/>[app.py]"]
  node_model_api["Model API<br/>[model.py]"]
  node_predictor["Prediction Runtime<br/>[predictor.py]"]
  node_results["Prediction Results<br/>[results.py]"]
end

subgraph group_data["Data Pipeline"]
  node_data_load["Data Loading<br/>[loaders.py]"]
  node_data_build["Dataset Building<br/>[build.py]"]
  node_dataset["Dataset Types<br/>[dataset.py]"]
  node_augment["Augmentation<br/>[augment.py]"]
end

subgraph group_models["Models and Tasks"]
  node_model_families["Model Families"]
  node_yolov10["YOLOv10 Tasks<br/>[model.py]"]
  node_sam["SAM Segmentation<br/>[model.py]"]
  node_fastsam["FastSAM<br/>[model.py]"]
  node_rtdetr["RT-DETR<br/>[model.py]"]
  node_nn["Neural Network<br/>[tasks.py]"]
end

subgraph group_lifecycle["Training and Deployment"]
  node_trainer["Training Engine<br/>[trainer.py]"]
  node_validator["Validation Engine<br/>[validator.py]"]
  node_metrics["Task Metrics<br/>[metrics.py]"]
  node_exporter["Model Export<br/>[exporter.py]"]
end

subgraph group_extensions["Product Extensions"]
  node_tracker["Object Tracking<br/>[track.py]"]
  node_solutions["Vision Solutions"]
  node_explorer["Dataset Explorer<br/>[explorer.py]"]
  node_hub["Ultralytics HUB<br/>[session.py]"]
end

node_user(("Caller"))

node_user -->|"calls"| node_model_api
node_user -->|"uses"| node_app
node_app -->|"loads model"| node_yolov10
node_app -->|"predicts"| node_model_api
node_model_api -->|"dispatches"| node_predictor
node_predictor -->|"loads inputs"| node_data_load
node_predictor -->|"runs inference"| node_nn
node_predictor -->|"builds results"| node_results
node_model_api -->|"trains"| node_trainer
node_model_api -->|"validates"| node_validator
node_model_api -->|"exports"| node_exporter
node_data_build -->|"constructs"| node_dataset
node_dataset -->|"augments samples"| node_augment
node_trainer -->|"builds datasets"| node_data_build
node_trainer -->|"optimizes"| node_nn
node_validator -->|"builds datasets"| node_data_build
node_validator -->|"evaluates"| node_nn
node_validator -->|"computes metrics"| node_metrics
node_yolov10 -->|"uses network"| node_nn
node_sam -->|"uses network"| node_nn
node_fastsam -->|"uses network"| node_nn
node_rtdetr -->|"uses network"| node_nn
node_model_families -->|"build on"| node_nn
node_model_api -->|"tracks"| node_tracker
node_model_api -->|"provides"| node_solutions
node_explorer -->|"accesses datasets"| node_data_build
node_model_api -.->|"integrates"| node_hub

click node_app "https://github.com/thu-mig/yolov10/blob/main/app.py"
click node_model_api "https://github.com/thu-mig/yolov10/blob/main/ultralytics/engine/model.py"
click node_predictor "https://github.com/thu-mig/yolov10/blob/main/ultralytics/engine/predictor.py"
click node_results "https://github.com/thu-mig/yolov10/blob/main/ultralytics/engine/results.py"
click node_data_load "https://github.com/thu-mig/yolov10/blob/main/ultralytics/data/loaders.py"
click node_data_build "https://github.com/thu-mig/yolov10/blob/main/ultralytics/data/build.py"
click node_dataset "https://github.com/thu-mig/yolov10/blob/main/ultralytics/data/dataset.py"
click node_augment "https://github.com/thu-mig/yolov10/blob/main/ultralytics/data/augment.py"
click node_model_families "https://github.com/thu-mig/yolov10/tree/main/ultralytics/models"
click node_yolov10 "https://github.com/thu-mig/yolov10/blob/main/ultralytics/models/yolov10/model.py"
click node_sam "https://github.com/thu-mig/yolov10/blob/main/ultralytics/models/sam/model.py"
click node_fastsam "https://github.com/thu-mig/yolov10/blob/main/ultralytics/models/fastsam/model.py"
click node_rtdetr "https://github.com/thu-mig/yolov10/blob/main/ultralytics/models/rtdetr/model.py"
click node_nn "https://github.com/thu-mig/yolov10/blob/main/ultralytics/nn/tasks.py"
click node_trainer "https://github.com/thu-mig/yolov10/blob/main/ultralytics/engine/trainer.py"
click node_validator "https://github.com/thu-mig/yolov10/blob/main/ultralytics/engine/validator.py"
click node_metrics "https://github.com/thu-mig/yolov10/blob/main/ultralytics/utils/metrics.py"
click node_exporter "https://github.com/thu-mig/yolov10/blob/main/ultralytics/engine/exporter.py"
click node_tracker "https://github.com/thu-mig/yolov10/blob/main/ultralytics/trackers/track.py"
click node_solutions "https://github.com/thu-mig/yolov10/tree/main/ultralytics/solutions"
click node_explorer "https://github.com/thu-mig/yolov10/blob/main/ultralytics/data/explorer/explorer.py"
click node_hub "https://github.com/thu-mig/yolov10/blob/main/ultralytics/hub/session.py"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_app,node_model_api,node_predictor,node_results toneBlue
class node_data_load,node_data_build,node_dataset,node_augment toneAmber
class node_model_families,node_yolov10,node_sam,node_fastsam,node_rtdetr,node_nn toneMint
class node_trainer,node_validator,node_metrics,node_exporter toneRose
class node_tracker,node_solutions,node_explorer,node_hub,node_user toneIndigo
```

## Components

### User API

- [Gradio Demo](https://github.com/thu-mig/yolov10/blob/main/app.py): `app.py`
- [Model API](https://github.com/thu-mig/yolov10/blob/main/ultralytics/engine/model.py): `ultralytics/engine/model.py`
- [Prediction Runtime](https://github.com/thu-mig/yolov10/blob/main/ultralytics/engine/predictor.py): `ultralytics/engine/predictor.py`
- [Prediction Results](https://github.com/thu-mig/yolov10/blob/main/ultralytics/engine/results.py): `ultralytics/engine/results.py`

### Data Pipeline

- [Data Loading](https://github.com/thu-mig/yolov10/blob/main/ultralytics/data/loaders.py): `ultralytics/data/loaders.py`
- [Dataset Building](https://github.com/thu-mig/yolov10/blob/main/ultralytics/data/build.py): `ultralytics/data/build.py`
- [Dataset Types](https://github.com/thu-mig/yolov10/blob/main/ultralytics/data/dataset.py): `ultralytics/data/dataset.py`
- [Augmentation](https://github.com/thu-mig/yolov10/blob/main/ultralytics/data/augment.py): `ultralytics/data/augment.py`

### Models and Tasks

- [Model Families](https://github.com/thu-mig/yolov10/tree/main/ultralytics/models): `ultralytics/models`
- [YOLOv10 Tasks](https://github.com/thu-mig/yolov10/blob/main/ultralytics/models/yolov10/model.py): `ultralytics/models/yolov10/model.py`
- [SAM Segmentation](https://github.com/thu-mig/yolov10/blob/main/ultralytics/models/sam/model.py): `ultralytics/models/sam/model.py`
- [FastSAM](https://github.com/thu-mig/yolov10/blob/main/ultralytics/models/fastsam/model.py): `ultralytics/models/fastsam/model.py`
- [RT-DETR](https://github.com/thu-mig/yolov10/blob/main/ultralytics/models/rtdetr/model.py): `ultralytics/models/rtdetr/model.py`
- [Neural Network](https://github.com/thu-mig/yolov10/blob/main/ultralytics/nn/tasks.py): `ultralytics/nn/tasks.py`

### Training and Deployment

- [Training Engine](https://github.com/thu-mig/yolov10/blob/main/ultralytics/engine/trainer.py): `ultralytics/engine/trainer.py`
- [Validation Engine](https://github.com/thu-mig/yolov10/blob/main/ultralytics/engine/validator.py): `ultralytics/engine/validator.py`
- [Task Metrics](https://github.com/thu-mig/yolov10/blob/main/ultralytics/utils/metrics.py): `ultralytics/utils/metrics.py`
- [Model Export](https://github.com/thu-mig/yolov10/blob/main/ultralytics/engine/exporter.py): `ultralytics/engine/exporter.py`

### Product Extensions

- [Object Tracking](https://github.com/thu-mig/yolov10/blob/main/ultralytics/trackers/track.py): `ultralytics/trackers/track.py`
- [Vision Solutions](https://github.com/thu-mig/yolov10/tree/main/ultralytics/solutions): `ultralytics/solutions`
- [Dataset Explorer](https://github.com/thu-mig/yolov10/blob/main/ultralytics/data/explorer/explorer.py): `ultralytics/data/explorer/explorer.py`
- [Ultralytics HUB](https://github.com/thu-mig/yolov10/blob/main/ultralytics/hub/session.py): `ultralytics/hub/session.py`

### Other components

- **Caller**

## Connections

- Caller → Model API: calls
- Caller → Gradio Demo: uses
- Gradio Demo → YOLOv10 Tasks: loads model
- Gradio Demo → Model API: predicts
- Model API → Prediction Runtime: dispatches
- Prediction Runtime → Data Loading: loads inputs
- Prediction Runtime → Neural Network: runs inference
- Prediction Runtime → Prediction Results: builds results
- Model API → Training Engine: trains
- Model API → Validation Engine: validates
- Model API → Model Export: exports
- Dataset Building → Dataset Types: constructs
- Dataset Types → Augmentation: augments samples
- Training Engine → Dataset Building: builds datasets
- Training Engine → Neural Network: optimizes
- Validation Engine → Dataset Building: builds datasets
- Validation Engine → Neural Network: evaluates
- Validation Engine → Task Metrics: computes metrics
- YOLOv10 Tasks → Neural Network: uses network
- SAM Segmentation → Neural Network: uses network
- FastSAM → Neural Network: uses network
- RT-DETR → Neural Network: uses network
- Model Families → Neural Network: build on
- Model API → Object Tracking: tracks
- Model API → Vision Solutions: provides
- Dataset Explorer → Dataset Building: accesses datasets
- Model API → Ultralytics HUB: integrates