John1231983

@YanZhiyuan0918: Please look at the solution at https://github.com/Vladkryvoruchko/PSPNet-Keras-tensorflow Let me know if you have any problem

OK. I see. I meet the problem and I need to used other code to convert npy2ckpt in the https://github.com/DrSleep/tensorflow-deeplab-resnet/tree/master/kaffe

@YanZhiyuan0918: have you solve the problem? Thanks

@hellochick : I have an idea for small batch size. We can use accumulate gradient as the Deeplab did. Do you think it will solve the problem?

@zhoufengbuaa : Very nice report. Could you tell me how did you achieve the report? Thanks

@zhoufengbuaa : Mee too. When I used hellochick code I only got around 60% IoU. I guess something wrong when I run the code. But my question is how could...

@ebouteillon : How do you solve it? I am run the code to classify the dataset into 2 cluster but I got the error about masks mismatch dimension of these...

Thanks for your solution. But the error come from the line ``` masks = skimage.io.imread_collection(mask_file).concatenate() ```

@WenzhMicrosoft : I can answer the first point. The in-place BatchNorm cannot apply in transition layer because before it is a Concat layer. For the second point, I think we...

@WenzhMicrosoft: I am using caffe and i confirm that it cannot. I do not know the reason. May be caffe did not support