This release is a pre-release and may not be stable for production use.
SeetaPsych Lib
A Computer Vision Toolkit for Face-based Psychological Measurement
SeetaPsych Lib is a Python library for face and body-based psychology analysis. It provides a modular Pipeline/Runner runtime and an optional Streamlit WebUI.
Requirements
- Python >= 3.10
- (Recommended) uv package manager: https://github.com/astral-sh/uv
Installation
Using uv (recommended)
uv pip install seetapsych-lib[webui] seetapsych-attributes seetapsych-configs
Using pip
Install runtime dependencies:
pip install seetapsych-lib seetapsych-attributes seetapsych-configs
If you want to run the WebUI, install extra tools manually:
pip install seetapsych-lib[webui]
Install Default Configs
# download default configs
seetapsych-manager download
# install each module requirements
seetapsych-manager setup
# download each model
seetapsych-manager cache
Quick Start
Run WebUI (Streamlit)
seetapsych-webui --log INFO
or
python -m seetapsych_lib.webui --log INFO
A local browser window will open automatically, or you can manually navigate to: http://localhost:8501.
Common arguments:
--dirs <DIR...>: load modules from directories--files <FILE...>: load modules from local config files--urls <URL...>: load modules from remote URLs--disable-builtin: disable builtin modules--disable-default: disable default modules--cache-dir <DIR>: model cache directory--upload-dir <DIR>: upload directory--log <LEVEL>: log level (e.g.,DEBUG,INFO,WARNING, or an integer like10)
Programmatic Usage
import numpy as np
from seetapsych_lib.api import Device
from seetapsych_lib.runtime import Factory, Pipeline, Runner
factory = Factory(enable_example=True)
pkg = next(p for p in factory.packages if p.name == "Example Package")
pipeline = Pipeline(factory, packages=[pkg.uid])
pipeline.add_model(pkg.uid, pkg.models[0].uid)
pipeline.solve()
ok, _ = pipeline.satisfied()
if not ok:
pipeline.install_requirements()
runner = Runner(pipeline, device=Device("cpu"))
result = runner.run(np.zeros((64, 64, 3), dtype=np.uint8))
print(result)
Configuration
Environment Variables
The following environment variables are supported:
| Env | Description |
|---|---|
| SEETAPSYCH_LOG_LEVEL | Change default log level. Could be WARNING, INFO, DEBUG, or an integer (e.g., 10). |
| SEETAPSYCH_CACHE_DIR | Base directory for model cache. Models are cached under <CACHE_DIR>/models. |
| SEETAPSYCH_CONFIG_DIR | Base directory for config files. Config files are loaded from <CONFIG_DIR>/configs. |
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