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.

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.

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")

Module Catalog

Module YAML	Package Name
`dense_landmarks.yml`	DenseLandmarks[280]-Seeta

SeetaDenseLandmarks

Predict 280-point dense facial landmarks from face bounding box or sparse facial landmarks with optional second-pass refinement.

Module config: dense_landmarks.yml

Field	Value
Provides	`face/dense_landmarks`
Requires	`face/detection`

Description: 280-point dense facial landmark predictor supporting bbox→initial→refine two-pass or sparse-landmark input paths.

Parameters

Name	Type	Default	Description
`refine`	boolean	`true`	Enable second-pass landmark refinement via 5-point similarity alignment. Disable for higher throughput with minor accuracy trade-off.

Models

Model	Recommended
`seeta-face-ex-dense-landmarks-280.onnx`	✓

Output Attributes

face/dense_landmarks — spec.

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Source Distribution

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The following attestation bundles were made for seetapsych_face_ex-0.0.3.post1.tar.gz:

Publisher: publish.yml on seetapsych/seetapsych-face-ex

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- Subject name: seetapsych_face_ex-0.0.3.post1.tar.gz
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- Sigstore transparency entry: 2698311176
- Sigstore integration time: Sep 3, 2026
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- Permalink: seetapsych/seetapsych-face-ex@f262f1134d88aebdb01fb529eb4a8d922c5a08ba
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