insightface/recognition/tools

I. CPP-Align

II. Face Mask Renderer

We provide a simple tool to add masks on face images automatically.

We can use this tool to do data augmentation while training our face recognition models.

Face Image	OP	Mask Image	Out
	+F
	+F
	+H

F means FULL while H means HALF.

Data Prepare

• face3d library

  Please copy and install face3d library and put it under face3d/ directory. Then make sure you can import face3d in python env.

• BFM models

  Please follow the tutorial of https://github.com/YadiraF/face3d/tree/master/examples/Data/BFM to generate BFM.mat and BFM_UV.mat.

• 3D68 model

  Download our 3D68 pretrained model(if1k3d68-0000.params) from baiducloud(passwd:2zmz) or googledrive and put it under assets_mask/. Please also put the above BFM data model into this directory.

• mask images

  You can get example mask images by checking the image url from the table above.

Add Mask to Face Image

Please refer to make_renderer.py for detail example.

(1) init renderer:

tool = MaskRenderer('./assets_mask')

(2) load face and mask images

image = cv2.imread("../../deploy/Tom_Hanks_54745.png")
mask_image  = cv2.imread("masks/mask2.jpg")

(3) build necessary params for face image, this can be done in offline.

params = tool.build_params(image)

(4) do mask render, it costs about 10ms on 224x224 UV size, CPU single thread.

mask_out = tool.render_mask(image, mask_image, params)

(5) do half mask render.

mask_half_out = tool.render_mask(image, mask_image, params, positions=[0.1, 0.5, 0.9, 0.7])