octave-resnet-26-0.25¶

Use Case and High-Level Description¶

The octave-resnet-26-0.25 model is a modification of resnet-26 with Octave convolutions from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution with alpha=0.25. Like the original model, this model is designed for image classification. For details about family of Octave Convolution models, check out the repository.

The model input is a blob that consists of a single image of 1, 3, 224, 224 in RGB order. Before passing the image blob into the network, subtract RGB mean values as follows: [124, 117, 104]. In addition, values must be divided by 0.0167.

The model output for octave-resnet-26-0.25 is a typical object-classifier output for 1000 different classifications matching those in the ImageNet database.

Specification¶

Metric	Value
Type	Classification
GFLOPs	3.768
MParams	15.99
Source framework	MXNet*

Accuracy¶

Metric	Value
Top 1	76.076%
Top 5	92.584%

Input¶

Original Model¶

Image, name: data, shape: 1, 3, 224, 224, format: B, C, H, W, where:

B - batch size
C - channel
H - height
W - width

Channel order is RGB. Mean values: [124, 117, 104], scale value: 59.880239521.

Converted Model¶

Image, name: data, shape: 1, 3, 224, 224, format: B, C, H, W, where:

B - batch size
C - channel
H - height
W - width

Channel order is BGR.

Output¶

Original Model¶

Object classifier according to ImageNet classes, name: prob, shape: 1, 1000, output data format is B, C, where:

B - batch size
C - predicted probabilities for each class in [0, 1] range

Converted Model¶

Object classifier according to ImageNet classes, name: prob, shape: 1, 1000, output data format is B, C, where:

B - batch size
C - predicted probabilities for each class in [0, 1] range

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 following license:

MIT License

Copyright (c) Facebook, Inc. and its affiliates.

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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