council-GAN

Council-GAN

glasses model

Input

(Image from CelebA dataset http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html)

Output

male2female model

Input

(Image from CelebA dataset http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html)

Output

selfie2anime model

Input

(Image from CelebA dataset http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html)

Output

usage

Automatically downloads the onnx and prototxt files on the first run. It is necessary to be connected to the Internet while downloading.

For the sample image,

$ python3 council-gan.py --glasses

You can also generate using male2female and selfie2anime model.

$ python3 council-gan.py --m2f
$ python3 council-gan.py --anime

If you want to specify the input image, put the image path after the --input option.
You can use --savepath option to change the name of the output file to save.

$ python3 council-gan.py --glasses --input IMAGE_PATH --savepath SAVE_IMAGE_PATH

By adding the --video option, you can input the video.
If you pass 0 as an argument to VIDEO_PATH, you can use the webcam input instead of the video file.

$ python3 council-gan.py --glasses --video VIDEO_PATH

By adding the --face_recognition option, run face recognition with yolo v3 (only for glasses removal mode).

$ python3 council-gan.py --glasses --face_recognition --video 0

Reference

Council-GAN

Framework

PyTorch 1.5.1

Model Format

ONNX opset = 10

Netron

councilGAN-glasses.onnx.prototxt

councilGAN-m2f_256.onnx.prototxt

councilGAN-anime.onnx.prototxt