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https://issues.apache.org/jira/browse/SINGA-278?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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wangwei resolved SINGA-278.
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Resolution: Fixed
Assignee: Xiangrui
> Convert trained caffe parameters to singa
> -----------------------------------------
>
> Key: SINGA-278
> URL: https://issues.apache.org/jira/browse/SINGA-278
> Project: Singa
> Issue Type: New Feature
> Reporter: Xiangrui
> Assignee: Xiangrui
>
> Convert trained parameters of caffe model to singa.
> Run vgg as an example. Some tricks should be noticed:
> 1. The order of image axes in caffe is height, width and channels due to
> opencv implementation, while it is width, height, channels in singa if you
> use python PIL.
> 2. Another problem caused by these two libraries is the order of channels,
> BGR(caffe, opencv) v.s. RGB(singa, PIL).
> 3. It needs to transpose the weight tensor in InnerProduct(Dense) layer.
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