Face-Attributes

Deep Face Attributes.

DataSet

CASIA WebFace DataSet, 479,653 faces.

Gender

Age

Euler angles:

Pitch:

Yaw:

Roll:

Beauty

Expression

Face shape

Face type

Glasses

Race

Dependencies

• PyTorch 1.0.0

Usage

Train

$ python train.py

To visualize the training process：

$ tensorboard --logdir=runs

Image	Aligned	Out	True
		age: 31 pitch: 7.43 roll: 4.03 yaw: -4.39 beauty: 37.45 expression: smile gender: male glasses: none race: white	age: 30 pitch: 9.56 roll: 3.02 yaw: -8.24 beauty: 37.73 expression: smile gender: male glasses: none race: white
		age: 23 pitch: 7.24 roll: 1.08 yaw: -36.76 beauty: 51.83 expression: none gender: female glasses: none race: white	age: 23 pitch: 6.15 roll: 1.63 yaw: -33.32 beauty: 57.46 expression: none gender: female glasses: common race: yellow
		age: 35 pitch: 17.6 roll: -9.36 yaw: 36.16 beauty: 39.17 expression: none gender: male glasses: none race: white	age: 36 pitch: 12.3 roll: -10.03 yaw: 33.63 beauty: 38.63 expression: none gender: male glasses: none race: white
		age: 26 pitch: 11.08 roll: -10.73 yaw: -55.27 beauty: 42.05 expression: none gender: female glasses: none race: white	age: 26 pitch: 10.39 roll: -13.08 yaw: -49.21 beauty: 49.31 expression: none gender: female glasses: none race: white
		age: 30 pitch: 3.83 roll: -8.48 yaw: 2.38 beauty: 46.39 expression: smile gender: male glasses: none race: white	age: 31 pitch: 6.5 roll: -9.29 yaw: 4.35 beauty: 35.32 expression: none gender: male glasses: sun race: white
		age: 36 pitch: 11.59 roll: -7.07 yaw: 0.48 beauty: 34.55 expression: smile gender: female glasses: none race: white	age: 35 pitch: 11.67 roll: -6.98 yaw: -1.25 beauty: 35.31 expression: smile gender: female glasses: none race: white
		age: 20 pitch: -3.13 roll: 19.29 yaw: 51.62 beauty: 53.43 expression: none gender: male glasses: none race: white	age: 23 pitch: -4.04 roll: 17.68 yaw: 54.1 beauty: 48.18 expression: none gender: male glasses: none race: yellow
		age: 33 pitch: 7.76 roll: -0.08 yaw: -1.68 beauty: 55.65 expression: none gender: female glasses: none race: white	age: 31 pitch: 7.35 roll: 1.28 yaw: -5.05 beauty: 55.49 expression: none gender: female glasses: none race: white
		age: 37 pitch: 15.85 roll: -1.86 yaw: -10.53 beauty: 41.24 expression: none gender: male glasses: none race: white	age: 41 pitch: 17.6 roll: -2.29 yaw: -14.45 beauty: 40.19 expression: none gender: male glasses: none race: black
		age: 39 pitch: 10.82 roll: -8.91 yaw: -5.19 beauty: 40.53 expression: smile gender: female glasses: none race: white	age: 41 pitch: 11.72 roll: -9.31 yaw: -4.21 beauty: 35.14 expression: smile gender: female glasses: none race: white