Skip to content

Latest commit

 

History

History
61 lines (39 loc) · 1.56 KB

caffenet.md

File metadata and controls

61 lines (39 loc) · 1.56 KB
Raw

caffenet

Use Case and High-Level Description

CaffeNet* model is used for classification. For details see paper.

Example

Specification

Metric Value
Type Classification
GFlops 1.463
MParams 60.965
Source framework Caffe*

Performance

Input

Original Model

Image, name: data, shape: [1x3x227x227], format: [BxCxHxW] where:

- B - batch size
- C - number of channels
- H - image height
- W - image width

Expected color order: BGR. Mean values: [104.0, 117.0, 123.0].

Converted Model

Image, name: data, shape: [1x3x227x227], format: [BxCxHxW] where:

- B - batch size
- C - number of channels
- H - image height
- W - image width

Expected color order: BGR.

Output

Original Model

Object classifier according to ImageNet classes, name: prob, shape: 1,1000. Contains predicted probability for each class.

Converted model

Object classifier according to ImageNet classes, name: prob, shape: 1,1000. Contains predicted probability for each class.

Legal Information

https://raw.githubusercontent.com/BVLC/caffe/master/models/bvlc_reference_caffenet/readme.md