modnet-webcam-portrait-matting¶

Use Case and High-Level Description¶

The modnet-webcam-portrait-matting model is a lightweight matting objective decomposition network (MODNet) for online video 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	5.66	6.21
MSE	762.52	1494.45

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:

Background subtraction Python* Demo

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.

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