if or not we need to delete the weight_filter{} and bias_filter in the deploy.prototxt?

[yunhai0920]

if or not we need to delete the weight_filter{} and bias_filter{} in the deploy.prototxt? because during the test phase, the caffe.model will provide the named parameters, here not need to update itself.

[TechnikEmpire]

@yunhai0920 I saw on another website you had run into the following issue with this model:

Check failed: axis_index < num_axes() (1 vs. 1) axis 1 out of range for 1-D Blob with shape 2 (2)

Sorry to hijack your question, but what was your solution to this problem?

[TechnikEmpire]

Nevermind, the problem is all the crazy forking of Caffe and people not keeping their forks in sync.

This bug will cause OpenNSFW not to work, FYI.

BVLC/caffe#6275
Fix is BVLC/caffe#6278
Also here intel/caffe#219

[yunhai0920]

@TechnikEmpire because of the different versions of caffe,
you can try to chang the input format:
name: "ResNet_50_1by2_nsfw"
layer {
name: "data"
type: "Input"
top: "data"
input_param { shape: { dim: 1 dim: 3 dim: 224 dim: 224 } }
}
vs
name: "ResNet_50_1by2_nsfw"
input: "data"
input_shape {
dim: 1
dim: 3
dim: 224
dim: 224
}