Is the python interface the only way to get crop_param?

[Xin Li]

I am trying to reproduce the FCN models in the model zoo.

And it seems i need to use the python interface along with the python layer to define my network structure now, which is terribly not convenient!

I wonder is this the only way to calculate the crop_param? Is there any straight forward way i can get the crop_param of my network? And can i directly set the crop_param in prototxt?

[Evan Shelhamer]

You can determine the crop parameters manually by calculating the coordinate relationships between the layers yourself, but that takes more time and is more error-prone than using the included `coord_map` Python module.

The `crop_param` fields are set in the usual way as shown in the example: https://github.com/shelhamer/fcn.berkeleyvision.org/blob/master/voc-fcn32s/train.prototxt#L491-L501

Likewise if you don't like having a Python data layer, you can make your own hdf5/lmdb/whatever but it's more work for you.

Evan Shelhamer

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[Xin Li]

Thanks for your reply!

I'm still confused about some detail in calculating the crop_param. It seems the crop_offset has nothing to do with the exact spatial size of input?

Besides, i feel it's a little inconvenient to use the python interface to determine the network. For example,

(a)How to combine train.prototxt and val.prototxt into a single trainval.prototxt?

(b)What if a layer name has a dash mark? it becomes a minus sign in python.

(c)How to set mean_value for each channel in Data layer?

Currently, I need to use the python interface to get the crop_param, and then 'refine the prototxt' by myself, it's a little cumbersome.

在 2016年4月26日星期二 UTC+8上午1:46:25，Evan Shelhamer写道：