Study Notes first try Linux problems, linux2015-10-13
1. Install the. deb file and use sudo gdebi XXX. deb
Sudo apt-get install xxx
2. You need to configure the system path:
LD_LIBRARY_PATH =.../lib: LD_LIBRARY_PATH
ExportLD_LIBRARY_PATH
3. ln-sf xxx soft link
4. Training LeNet onMNIST with Caffe:
Wangxiao @ wangxiao-Aspire-VN7-591G :~ /Downloads/caffe-master/examples/mnist $ cd
Wangxiao @ wangxiao-Aspire-VN7-591G :~ $ Sh/home/wangxiao/Downloads/caffe-master/examples/mnist/create_mnist.sh
Creatinglmdb...
/Home/wangxiao/Downloads/caffe-master/examples/mnist/create_mnist.sh: 16:/home/wangxiao/Downloads/caffe-master/examples/mnist/create_mnist.sh: build/examples/mnist/convert_mnist_data.bin: not found
/Home/wangxiao/Downloads/caffe-master/examples/mnist/create_mnist.sh: 18:/home/wangxiao/Downloads/caffe-master/examples/mnist/create_mnist.sh: build/examples/mnist/convert_mnist_data.bin: not found
Done.
However, convert_mnist_data.bin is there...
Since: Baidu A: Link: http://blog.sciencenet.cn/blog-1583812-843207.html
And then it succeeds...
5.2015-10-13 12:39:29 (22.2 KB/s)-'caffe_ilsvrc12.tar.gz. 1 'saved [17858008/17858008]
Unzipping...
Gzip: stdin: unexpected end of file
Tar: Unexpected EOF in archive
Tar: Unexpected EOF in archive
Tar: Error is not recoverable: exiting now
Done.
6.linux install .tar.gz Software
Tar.gz uses the tar command to package the source code file into a file, and then compress the file into a compressed package with the zip command. Therefore, decompress the package before installation. The command is as follows: after the tar-xvzftest.tar.gz is complete, it will generate a decompressed directory, enter the directory, view the readme file or install file, which contains detailed installation commands. The general installation steps are. /configure press ENTER make press ENTER makeinstall press ENTER makeclean press enter if configure fails, it means that your system environment does not meet the requirements, and the files on which the software depends are not installed. You need to analyze them according to the prompts. The preceding commands are only the most commonly used methods, and some useful parameters are not described. You can view the help documentation on your own.
7. A similar problem occurs in the cifa10 Dataset:
Wangxiao @ wangxiao-Aspire-VN7-591G :~ /Downloads/caffe-master/examples/cifar10 $ sh create_cifar10.sh
Creatinglmdb...
Create_cifar10.sh: 12: create_cifar10.sh:./build/examples/cifar10/convert_cifar_data.bin: not found
Computingimage mean...
Create_cifar10.sh: 16: create_cifar10.sh:./build/tools/compute_image_mean: not found
Done.
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
You can change the input mode. However, another error occurs:
Wangxiao @ wangxiao-Aspire-VN7-591G :~ /Downloads/caffe-master $ sh./examples/cifar10/create_cifar10.sh
Creatinglmdb...
F101315: 08: 01.317740 12620 convert_cifar_data.cpp: 58] Check failed: data_file Unable to open train file #2
* ** Check failure stack trace :***
@ 0x7fb181f96daa (unknown)
@ 0x7fb181f96ce4 (unknown)
@ 0x7fb181f966e6 (unknown)
@ 0x7fb181f99687 (unknown)
@ 0x402fc7 convert_dataset ()
@ 0x401b8f main
@ 0x7fb1813c6ec5 (unknown)
@ 0x401c49 (unknown)
@ (Nil) (unknown)
Aborted (core dumped)
Computingimage mean...
Terminatecalled after throwing an instance of 'std: bad_alloc'
What (): std: bad_alloc
Aborted (core dumped)
Done.
Wangxiao @ wangxiao-Aspire-VN7-591G :~ $ Cd/home/wangxiao/Downloads/caffe-master/
Wangxiao @ wangxiao-Aspire-VN7-591G :~ /Downloads/caffe-master $ sh./examples/cifar10/create_cifar10.sh
Creatinglmdb...
./Examples/cifar10/create_cifar10.sh: 12:./examples/cifar10/create_cifar10.sh:./build/examples/cifar10/convert_cifar_data.bin: not found
Computingimage mean...
./Examples/cifar10/create_cifar10.sh: 16:./examples/cifar10/create_cifar10.sh:
./Build/tools/compute_image_mean: not found
Done.
Continue to Baidu. I found it and found it...