Something wrong with the dilation10_gta5_frontend.caffemodel

[islamtashfiq]

I used pycaffe to observe the weights of the deconvolution layer with
deconv_weights = net.params['ctx_upsample'][0].data
and all the unique variables I get is 0 value. I think the whole network is zero value because I get 0 image as a result. Could you check the model?

[jhoffman]

Caffe has a bilinear weight filler parameter which we use to load the kernel for bilinear upsampling in this layer. If you have zeros perhaps you are using the wrong weight filler.

Running the val script should produce a deploy prototxt where you should find the following layer:
layer { name: "upsample" type: "Deconvolution" bottom: "final" top: "upsample" param { lr_mult: 0.0 decay_mult: 0.0 } convolution_param { num_output: 19 bias_term: false pad: 4 kernel_size: 16 group: 19 stride: 8 weight_filler { type: "bilinear" } } }