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 sizeC
- number of channelsH
- image heightW
- 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 sizeC
- number of channelsH
- image heightW
- 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 sizeC
- number of channelsH
- image heightW
- 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 sizeC
- number of channelsH
- image heightW
- 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
.