Caffe Users

I can answer two of your questions, as I've never done any training on RGBD. 1. I'm not sure

I tried training voc-fcn16s. The network configuration goes well, as the log goes : 4368 net.cpp:255]

Hi, Pujan Paudel. Had you solved the problem? Could you please tell me how? 在 2017年9月13日星期三 UTC+8上午2:

What is the proper procedure for finetuning a deep fully convolutional neural network with skip

So after some extensive hacking I found out that net.blobs[...].diff, ie derivatives wrt to data

Classification networks output as many channels as the number of classes in your dataset. So if you

Hello, I would like to get an answer for these questions as well. Also, why do they convert RGB to

As summary: when an image (>224x224x3) comes in a trained neural network (224x224x3), it

Could you share your prototxt file?

Thank you for your answer Evan! It has been really helpful. So I understand that the choice of

Hi all, I am kind of stuck here, hopefully someone can throw some light on it. To demonstrate my

I want to change a fully connected layer to a fully convolutional layer. But Caffe stores the fully

Thanks! That's pretty interesting. I was resizing the labelmap instead, which is dumb since a lot

I want to use a trained convnet to predict labels for every pixel of an image. I have already seen

Hi Evan Thanks! Exactly what I was looking for. I'll give it a try. Thanks Eran On Wednesday,

Hello to you all! sorry for my late answer, Ben : I was proposing to put some pixels from the

do you get the gaven mean I/U? and as you mentioned above, you got 72 mean I/U, can you tell me how

Thanks Etienne! The code is very clear, but i still don't get what pd means. if you can clarify

VGG16 prototxt using old layer definition "layers" instead of "layer"，using it

Hello Vignesh, The bilinear initialization of the Deconvolution filters and keeping them constant,

Re: #2016, we did run our experiments with shared buffers and the longjon:future branch readme

Hi, Thanks @Evan. I have a problem with using python layer which you mentioned to read the data as it

HI , thank you for the advice and sorry for ... my stupidity XD... I just write the wrong lmdb path

Hi, I'm trying to train a convnet for image parsing/image segmentation, like the one from this

Hi Majid, I also experience the same problem. I use caffe for regression issue. The input are images,

The softmax loss expects the labels to be a single channel where the value for each instance is the

Hi, I'm stuck in stride concept? do you get any idea why stride is 32?

Hi Ellery, I am also interested in reducing my models size in RAM memory. Have you solved this