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psp-net Hair Segmentation

input

input_image

(from http://projects.i-ctm.eu/it/progetto/figaro-1k)

Ailia input shape: (1, 3, 512, 512)

output

output_image

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 pspnet-hair-segmentation.py

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 pspnet-hair-segmentation.py --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 pspnet-hair-segmentation.py --video VIDEO_PATH

By adding the --model option, you can specify model type which is selected from "resnet10", "squeezenet".
(default is resnet10)

$ python3 pspnet-hair-segmentation.py --model squeezenet

Reference

pytorch-hair-segmentation

Framework

PyTorch 0.4.1

Model Format

ONNX opset = 10

Netron

pspnet-hair-segmentation.onnx.prototxt
pspnet_squeezenet.onnx.prototxt