squeezenet1.1¶
Use Case and High-Level Description¶
The squeezenet1.1
updated version of the SqueezeNet topology. It is designed to perform image classification. It requires 2.4x less computation than SqueezeNet v1.0 without diminishing accuracy. The SqueezeNet models have been pre-trained on the ImageNet image database. For details about this family of models, check out the repository.
The model input is a blob that consists of a single image of 1, 3, 227, 227
in BGR
order. The BGR mean values need to be subtracted as follows: [104, 117, 123] before passing the image blob into the network.
The model output for squeezenet1.1
is the typical object classifier output for the 1000 different classifications matching those in the ImageNet database.
Specification¶
Metric |
Value |
---|---|
Type |
Classification |
GFLOPs |
0.785 |
MParams |
1.236 |
Source framework |
Caffe* |
Accuracy¶
Metric |
Value |
---|---|
Top 1 |
58.382% |
Top 5 |
81% |
Input¶
Original model¶
Image, name - data
, shape - 1, 3, 227, 227
, format is B, C, H, W
, where:
B
- batch sizeC
- channelH
- heightW
- width
Channel order is BGR
.
Mean values - [104, 117, 123]
Converted model¶
Image, name - data
, shape - 1, 3, 227, 227
, format is B, C, H, W
, where:
B
- batch sizeC
- channelH
- heightW
- 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 sizeC
- 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 sizeC
- 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:
BSD LICENSE.
Redistribution and use in source and binary forms, with or without modification, are permitted
provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this list of conditions
and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions
and the following disclaimer in the documentation and/or other materials provided with the
distribution.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
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DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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