open-closed-eye-0001

Use Case and High-Level Description

Fully convolutional network for recognition of eye state (‘open’, ‘closed’).

Example

_images/1.png _images/2.png _images/3.png

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 - channel

  • H - height

  • W - 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 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: