added constrained network segmentation examples

Author: PetersBas

examples/GeneralizedMinkowski/ConstrainedNeuralNetworkSegmentation_motorbike.jl

@@ -394,7 +394,6 @@ opt   = Flux.ADAM(1f-3)
 fval2 = train(HN,image,image,P,active_channels,flip_dims,maxiter,opt)
 
 maxiter   = 150
-opt       = Flux.ADAM(1f-3)
 flip_dims = []
 fval3     = train(HN,image,image,P,active_channels,flip_dims,maxiter,opt)
 
@@ -450,7 +449,7 @@ savefig("prediction_bike.png")
 #Plot data+prediction
 figure(figsize=(5,4))
 imshow(Array(pred_thres)[2:end-1,2:end-1])
-imshow(image[2:end-1,2:end-1,1:3],alpha=0.6,cmap="Greys")
+imshow(image[2:end-1,2:end-1,1:3],alpha=0.6)
 ax = gca()
 ax[:xaxis][:set_visible](false)
 ax[:yaxis][:set_visible](false)