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modnet-photographic-portrait-matting

Use Case and High-Level Description

The modnet-photographic-portrait-matting model is a lightweight matting objective decomposition network (MODNet) for photographic portrait matting in real-time with a single input image with MobileNetV2 backbone. The model is pre-trained in PyTorch* framework and converted to ONNX* format.

More details provided in the paper and repository.

Specification

Metric Value
Type Background Matting
GFlops 31.1564
MParams 6.4597
Source framework PyTorch*

Accuracy

Accuracy measured on the HumanMatting dataset

Metric Mean value Std value
MAD 5.21 5.13
MSE 727.95 1196.28
  • MAD - mean of absolute difference
  • MSE - mean squared error.

Input

Original Model

Image, name: input, shape: 1, 3, 512, 512, format: B, C, H, W, where:

  • B - batch size
  • C - number of channels
  • H - image height
  • W - image width

Expected color order: RGB. Mean values - [127.5, 127.5, 127.5], scale value - 127.5.

Converted Model

Image, name: input, shape: 1, 3, 512, 512, format: B, C, H, W, where:

  • B - batch size
  • C - number of channels
  • H - image height
  • W - image width

Expected color order: BGR.

Output

Original model

Alpha matte with values in [0, 1] range. Name: output Shape: 1, 1, 512, 512, format: B, C, H, W, where:

  • B - batch size
  • C - number of channels
  • H - image height
  • W - image width

Converted model

Alpha matte with values in [0, 1] range. Name: output Shape: 1, 1, 512, 512, format: B, C, H, W, where:

  • B - batch size
  • C - number of channels
  • H - image height
  • W - image width

Download a Model and Convert it into OpenVINO™ IR Format

You can download models and if necessary convert them into OpenVINO™ IR format using the Model Downloader and other automation tools as shown in the examples below.

An example of using the Model Downloader:

omz_downloader --name <model_name>

An example of using the Model Converter:

omz_converter --name <model_name>

Demo usage

The model can be used in the following demos provided by the Open Model Zoo to show its capabilities:

Legal Information

The original model is distributed under the Apache License, Version 2.0. A copy of the license is provided in <omz_dir>/models/public/licenses/APACHE-2.0.txt.