open-closed-eye-0001¶
Use Case and High-Level Description¶
Fully convolutional network for recognition of eye state (‘open’, ‘closed’).
Specification¶
Metric |
Value |
|---|---|
Source framework |
PyTorch* |
GFlops |
0.0014 |
MParams |
0.0113 |
Accuracy |
95.84% |
Dataset¶
MRL Eye Dataset is used for training and validation (each 10th image is used for test).
Inputs¶
Image, name: input.1, shape: 1, 3, 32, 32 in 1, C, H, W format, where:
C- channelH- heightW- width
Expected color order is BGR.
Outputs¶
Name: 19, shape: 1, 2, 1, 1 - Softmax output across 2 type classes: [open, closed]
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¶
[*] Other names and brands may be claimed as the property of others.