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License: Other
Weakly Supervised Object Localization with Progressive Domain Adaptation (CVPR 2016)
License: Other
hello
I tried to used make all -8
, but I got some error like this
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
from ./include/caffe/common.hpp:19,
from ./include/caffe/blob.hpp:8,
from ./include/caffe/layer.hpp:8,
from src/caffe/layer_factory.cpp:3:
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::createPoolingDesc(cudnnPoolingStruct**, caffe::PoolingParameter_PoolMethod, cudnnPoolingMode_t*, int, int, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:124:41: error: too few arguments to function ‘cudnnStatus_t cudnnSetPooling2dDescriptor(cudnnPoolingDescriptor_t, cudnnPoolingMode_t, cudnnNanPropagation_t, int, int, int, int, int, int)’
pad_h, pad_w, stride_h, stride_w));
^
it seem you are using cudnn 4?
I wonder know if you modified caffe code, or I can just replace caffe-wsl with newest caffe which supported cudnn 5
thanks
Check failed: status == CURAND_STATUS_SUCCESS (201 vs. 0) CURAND_STATUS_LAUNCH_FAILURE
In detection adaption stage, $WSL_ROOT/det_adapt.sh
run a python script named train_net.py
, which should be located at $WSL_ROOT/tools/train_net.py
. Actually this python script is located at $WSL_ROOT/tools/extra/train_net.py
, which caused No such file or directory
error.
What's more, $WSL_ROOT/tools/extra/_init_paths.py
also assumes $WSL_ROOT/tools/extra/*.py
should be in $WSL_ROOT/tools/*.py
, otherwise $WSL_ROOT/lib/fast_rcnn
cannot be imported.
So there are 2 alternative ways to fix:
$WSL_ROOT/tools/extra/*.py
to $WSL_ROOT/tools/*.py
$WSL_ROOT/tools/extra/_init_paths.py
and $WSL_ROOT/det_adapt.sh
Thanks
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