Accuracy benchmark — 2026-05-15T20:28:15Z

Accuracy benchmark — 2026-05-15T20:28:15Z#

field

value

date

2026-05-15T20:28:15Z

py_feat_version

0.7.0

git_sha

67cd7d9

host

liquidswords2

gpu

NVIDIA RTX PRO 6000 Blackwell Workstation Edition

torch

2.11.0+cu128

python

3.12.13

device

cuda

omp_num_threads

1

Detector config

stage

model

face_model

img2pose

landmark_model

mobilefacenet

au_model

xgb

emotion_model

resmasknet

facepose_model

img2pose

identity_model

arcface

DISFA+ (posed peak) — AU intensity#

  • samples: 4500, faces detected: 4500

  • elapsed: 306.21s (14.7 fps)

  • AU F1 mean: 0.3607

  • AU ICC mean: 0.1359

AU

F1

ICC

AU01

0.4640

0.1315

AU02

0.5124

0.1330

AU04

0.4821

0.1430

AU05

0.0540

0.0349

AU06

0.5215

0.2099

AU09

0.2037

0.0758

AU12

0.5378

0.2813

AU15

0.0979

0.0361

AU17

0.1333

0.0184

AU20

0.1023

0.0495

AU25

0.6717

0.3304

AU26

0.5470

0.1864
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