Comments (7)
and i used the cuda 8.0 in centos .
and i also try make when cpu_only = 1. it also appear errors:
error start
./include/caffe/blob.hpp:9:34: fatal error: caffe/proto/caffe.pb.h: No such file or directory
#include "caffe/proto/caffe.pb.h"
^
compilation terminated.
The bug is not reproducible, so it is likely a hardware or OS problem.
make: *** [.build_release/src/caffe/layers/image_data_layer.o] Error 1
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@tengshaofeng Please try to compile it with CUDA 7.0. Thank you:-).
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but when i used cpu-only = 1 . it still comes error:
CXX src/caffe/layers/transpose_layer.cpp
CXX src/caffe/layers/window_data_layer.cpp
CXX src/caffe/layer_factory.cpp
In file included from /usr/include/boost/python/detail/prefix.hpp:13:0,
from /usr/include/boost/python/args.hpp:8,
from /usr/include/boost/python.hpp:11,
from src/caffe/layer_factory.cpp:4:
/usr/include/boost/python/detail/wrap_python.hpp:50:23: fatal error: pyconfig.h: No such file or directory
include <pyconfig.h>
^
compilation terminated.
make: *** [.build_release/src/caffe/layer_factory.o] Error 1
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@tengshaofeng You can refer to BVLC/caffe#410.
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@tianzhi0549 ,
i wonder whether you will provide a caffe for cuda 7.5 or cuda8.0?
thanks very much for your reply and help.
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https://github.com/qingswu/CTPN
This fork is CUDA 8.0 compatible.
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nice, thank you so much
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Related Issues (20)
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- Any other implemetation HOT 2
- please reveal details of training ,thanks? HOT 1
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- Which research paper is used to implement this? HOT 1
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- dimention
- why the result use the author's model is lower the the artical.
- 项目很不友好,编译麻烦 HOT 1
- The text_recs returned has a problem HOT 2
- Can you share your dataset that mentioned in the article? HOT 1
- what is the dataset to get the trained model? HOT 4
- 运行问题 HOT 5
- Issue while running demo.py "Creating layer proposal" HOT 2
- Pytorch vision? HOT 3
- 你好,是否能提供预训练模型下载呢 HOT 1
- error:Check failed: registry.count(type) == 1 (0 vs. 1) Unknown layer type: Python (known types: AbsVal, Accuracy, ArgMax, BNLL, BatchNorm, Concat, ContrastiveLoss, Convolution, Crop, Data, HOT 2
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