-
CMake Warning at CMakeLists.txt:33 (find_package):
By not providing "FindCaffe.cmake" in CMAKE_MODULE_PATH this project has
asked CMake to find a package configuration file provided by "Caffe",…
-
-
Hello everyone,
I'm new to deep learning and python and now I'm trying to implement a deconvolutional network to do semantic segmentation (http://arxiv.org/abs/1505.04366), I've got a problem impleme…
-
How would one go about visualizing the filters of this network? I tried doing something like
net = util.load(opt.net, opt.gpu)
filters = net:get(13).weight
image.save("filters.png", image.toDisplayT…
-
Hello there!
I'm trying your (needless to say) awesome, codebase, and i wonder just 2 things :
- Why omitting the batch norm layer at the end in your models? it seems you put batch normalization bef…
-
https://github.com/dmlc/mxnet/pull/422 and https://github.com/dmlc/mxnet/pull/503 have added the deconvolution operator for segmentation. The other missing piece to construct a complete segmentation n…
-
Hi,
I'm trying to train DeconvNet and run 001_start_train.sh ,but the error is:
F0907 11:37:08.948395 5462 syncedmem.cpp:51] Check failed: error == cudaSuccess (2 vs. 0) out of memory
**\* Check …
-
Hi,
Is there any possibility to use weights sharing (like in [#546](https://github.com/BVLC/caffe/pull/546) ), but transposed? It is used for [autoencoders](http://deeplearning.net/tutorial/dA.html) …
-
Hi everyone,
I am trying to do activity maximization described in Karen Simonyan's paper (http://arxiv.org/pdf/1312.6034.pdf) using the pre-trained ImageNet model in Caffe. I want to find the input i…