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`	✓

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Source Distribution

seetapsych_face_ex-0.0.3.tar.gz (167.9 kB view details)

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

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Statement:
- Statement type: https://in-toto.io/Statement/v1
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- Subject name: seetapsych_face_ex-0.0.3.tar.gz
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Source repository:
- Permalink: seetapsych/seetapsych-face-ex@2c7913e73c42717e6e535bd64ab70ff8d1271dcd
- Branch / Tag: refs/tags/r0.0.3
- Owner: https://github.com/seetapsych
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