Metadata-Version: 2.5
Name: seetapsych-face-ex
Version: 0.0.1
Summary: Enhanced face modules for SeetaPsych
License: Copyright (c) 2026, Visual Information Processing and Learning (VIPL) group,
        Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;
        Southeast University, China;
        Beijing Seetatech Co., Ltd.
        All rights reserved.
        
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License-File: LICENSE
Requires-Python: >=3.10
Requires-Dist: seetapsych-lib
Provides-Extra: all
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Requires-Dist: onnxruntime-gpu>=1.24; (sys_platform != 'darwin' and python_version > '3.10') and extra == 'all'
Requires-Dist: onnxruntime<1.24; (sys_platform == 'darwin' and python_version <= '3.10') and extra == 'all'
Requires-Dist: onnxruntime>=1.24; (sys_platform == 'darwin' and python_version > '3.10') and extra == 'all'
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Provides-Extra: dev
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Requires-Dist: onnxruntime-gpu>=1.24; (sys_platform != 'darwin' and python_version > '3.10') and extra == 'dev'
Requires-Dist: onnxruntime<1.24; (sys_platform == 'darwin' and python_version <= '3.10') and extra == 'dev'
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Description-Content-Type: text/markdown

# SeetaPsych Face Enhanced

> Enhanced face modules for SeetaPsych

## Usage

This project is already included in the seetapsych-lib default configuration. Download and use it via `seetapsych-manager download`.

For usage, refer to [SeetaPsych](https://github.com/seetapsych/seetapsych-lib).

You can additionally add this algorithm module using the following methods.

### WebUI

Run `seetapsych-webui` with the `--dirs` argument to use it.

```
seetapsych-webui --files seetapsych_face_ex/modules/dense_landmarks.yml
```

### Programmatic Usage

Add the following code in your program to use this algorithm module.
```python
from seetapsych_lib.runtime.factory import Factory
from seetapsych_lib.runtime.pipeline import Pipeline

factory = Factory()
factory.load_file_modules('seetapsych_face_ex/modules/dense_landmarks.yml')

pipeline = Pipeline(factory, ...)

pipeline.add_attributes('face/dense_landmarks')
```

## Introduction

### SeetaDenseLandmarks

ONNX-based dense facial landmark detection model by SeetaPsych, capable of detecting 280 2D landmarks. Accepts either a face bounding box or sparse landmarks (2/5/280 points) as input. When given a bbox, it first predicts an initial coarse set, then optionally runs a refinement pass aligned via 5-point similarity transform. Network input size is fixed at 192x192.

Module config: [dense_landmarks.yml](seetapsych_face_ex/modules/dense_landmarks.yml).
Provide Attributes: `face/dense_landmarks`.

Requires: `face/detection` (primary). Optionally leverages `face/landmarks` if available for better alignment.

Available model: `seeta-face-ex-dense-landmarks-280.onnx` (recommended).

Parameters:
- `refine` (bool, default `true`): Enable the second-pass refinement using 5-point similarity alignment.

