training my own data

[luciaL]

I use the crfrnn net to make a segmentation of an organ,so the number of output is 2.Then I modify the example/segmentationcrfrnn/solve.protoxt.Then I run the .sh file.But it check failed at softmax_loss_layer and said number of labels don't match number of predictions.Please help to figure out what's the problem??

Could you tell me how to make 'label' lmdb file?The name of label's size should be 121500500,how to make it?The number of my output is 2,so i need to make it be 12500500,but i don't know how to make it.Thank you very much

[bittnt]

You need to change the name of the deconvolution layer and you also need to change the number of the output.

Make sure you initialize the weights of all layers correctly.

[luciaL]

Could you tell me how to make 'label' lmdb file?The name of label's size should be 121500500,how to make it?The number of my output is 2,so i need to make it be 12500500,but i don't know how to make it.Thank you very much

[bittnt]

https://lmdb.readthedocs.io/en/release/ will probably help you.

[lixiang-ucas]

@bittnt i'm training with my own data, how to initialize the convolution weights?

[Sam813]

@lixiang-ucas I am also trying to use this network for organ segmentation, could you manage to train the network on your data? so far all my predictions are in black and I don't know whats the proper initialization of the convolutions/deconv?