deeplabv3¶
Use Case and High-Level Description¶
DeepLab is a state-of-art deep learning model for semantic image segmentation. For details see paper.
Specification¶
Metric |
Value |
---|---|
Type |
Semantic segmentation |
GFLOPs |
11.469 |
MParams |
23.819 |
Source framework |
TensorFlow* |
Accuracy¶
Metric |
Value |
---|---|
mean_iou |
66.85% |
Input¶
Original model¶
Image, name: ImageTensor
, shape: 1, 513, 513, 3
, format: B, H, W, C
, where:
B
- batch sizeH
- image heightW
- image widthC
- number of channels
Expected color order: RGB
.
Converted Model¶
Image, name: mul_1/placeholder_port_1
, shape: 1, 3, 513, 513
, format: B, C, H, W
, where:
B
- batch sizeC
- number of channelsH
- image heightW
- image width
Expected color order: BGR
.
Output¶
Original Model¶
Integer values in a range [0, 20], which represent an index of a predicted class for each image pixel. Name: ArgMax
, shape: 1, 513, 513
in B, H, W
format, where:
B
- batch sizeH
- image heightW
- image width
Converted Model¶
Integer values in a range [0, 20], which represent an index of a predicted class for each image pixel. Name: ArgMax/Squeeze
, shape: 1, 513, 513
in B, H, W
format, where:
B
- batch sizeH
- image heightW
- image width
Download a Model and Convert it into Inference Engine Format¶
You can download models and if necessary convert them into Inference Engine format using the Model Downloader and other automation tools as shown in the examples below.
An example of using the Model Downloader:
python3 <omz_dir>/tools/downloader/downloader.py --name <model_name>
An example of using the Model Converter:
python3 <omz_dir>/tools/downloader/converter.py --name <model_name>
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-TF-Models.txt
.