Running with CPU only

[zhao181]

Hello everyone, it is the first time I could successfully run a demo. Many thanks to the author.

To use cpu only, I follow the author's instruction and make the following modifications:
(1) Set "USE_GPU_NMS " in the file ./ctpn/text.yml as "False"
(2) Set the "__C.USE_GPU_NMS" in the file ./lib/fast_rcnn/config.py as "False";
(3) Comment out the line "from lib.utils.gpu_nms import gpu_nms" in the file ./lib/fast_rcnn/nms_wrapper.py;
(4) To rebuild the setup.py:

The author provides the new code of setup.py for cpu only:

from Cython.Build import cythonize
import numpy as np
from distutils.core import setup

try:
numpy_include = np.get_include()
except AttributeError:
numpy_include = np.get_numpy_include()

setup(
ext_modules=cythonize(["bbox.pyx","cython_nms.pyx"],include_dirs=[numpy_include]),
)

(a) execute export CFLAGS=-I/home/zhao181/ProGram1/anaconda2/lib/python2.7/site-packages/numpy/core/include
you should use your own numpy path.

(b) cd xxx/text-detection-ctpn-master/lib/utils
and execute:python setup.py build

(c) copy the .so file from the "build" directory to the
xxx/text-detection-ctpn-master/lib/utils.

(5) cd xxx/text-detection-ctpn-master
and execute: python ./ctpn/demo.py

By the way, I am running under ubuntu 16.04 with
Anaconda2-4.2.0-Linux-x86_64.sh and tensorflow-1.3.0-cp27-cp27mu-manylinux1_x86_64.whl(cpu).

[eragonruan]

Thanks for the sharing.

[cjt222]

hello, i try to run code on cpu, when i change code according like you, it caused like below:

i have enough 17G RAM and i do not kmow what happened @zhao181 @eragonruan

[zunair11]

Guys , I am trying to run the code on Raspberry Pi 3, I have tensorflow 1.3 installed and have configured the script to use CPU only, but I get the following error when the script demo.py is executed.

** Tensor("Placeholder:0", shape=(?, ?, ?, 3), dtype=float32)
Tensor("conv5_3/conv5_3:0", shape=(?, ?, ?, 512), dtype=float32)
Tensor("rpn_conv/3x3/rpn_conv/3x3:0", shape=(?, ?, ?, 512), dtype=float32)
WARNING:tensorflow:<tensorflow.python.ops.rnn_cell_impl.BasicLSTMCell object at 0x6fe17ff0>: Using a concatenated state is slower and will soon be deprecated. Use state_is_tuple=True.
Tensor("lstm_o/Reshape:0", shape=(?, ?, ?, 128), dtype=float32)
Tensor("lstm_o/Reshape:0", shape=(?, ?, ?, 128), dtype=float32)
Tensor("rpn_cls_score/Reshape:0", shape=(?, ?, ?, 20), dtype=float32)
Tensor("rpn_cls_prob:0", shape=(?, ?, ?, ?), dtype=float32)
Tensor("Reshape_5:0", shape=(?, ?, ?, 20), dtype=float32)
Tensor("rpn_bbox_pred/Reshape:0", shape=(?, ?, ?, 40), dtype=float32)
Tensor("Placeholder_1:0", shape=(?, 3), dtype=float32)
Loading network VGGnet_test... Restoring from checkpoints/VGGnet_fast_rcnn_iter_50000.ckpt... done

terminate called after throwing an instance of 'std::bad_alloc'
what(): std::bad_alloc
Aborted **

I have narrowed down the cause of error to a line 53 in test.py
rois = sess.run([net.get_output('rois')[0]],feed_dict=feed_dict)

I there is any information missing please do ask. Thanks

[zhao181]

I remember that, before I fix the code, there are errors occurring here too. But I forget the details and the solutions. 发自网易邮箱大师 On 12/2/2017 18:09，zunair11<notifications@github.com> wrote： Guys , I am trying to run the code on Raspberry Pi 3, I have tensorflow 1.3 installed and have configured the script to use CPU only, but I get the following error when the script demo.py is executed. Tensor("Placeholder:0", shape=(?, ?, ?, 3), dtype=float32) Tensor("conv5_3/conv5_3:0", shape=(?, ?, ?, 512), dtype=float32) Tensor("rpn_conv/3x3/rpn_conv/3x3:0", shape=(?, ?, ?, 512), dtype=float32) WARNING:tensorflow:<tensorflow.python.ops.rnn_cell_impl.BasicLSTMCell object at 0x6fe17ff0>: Using a concatenated state is slower and will soon be deprecated. Use state_is_tuple=True. Tensor("lstm_o/Reshape:0", shape=(?, ?, ?, 128), dtype=float32) Tensor("lstm_o/Reshape:0", shape=(?, ?, ?, 128), dtype=float32) Tensor("rpn_cls_score/Reshape:0", shape=(?, ?, ?, 20), dtype=float32) Tensor("rpn_cls_prob:0", shape=(?, ?, ?, ?), dtype=float32) Tensor("Reshape_5:0", shape=(?, ?, ?, 20), dtype=float32) Tensor("rpn_bbox_pred/Reshape:0", shape=(?, ?, ?, 40), dtype=float32) Tensor("Placeholder_1:0", shape=(?, 3), dtype=float32) Loading network VGGnet_test... Restoring from checkpoints/VGGnet_fast_rcnn_iter_50000.ckpt... done 1 terminate called after throwing an instance of 'std::bad_alloc' what(): std::bad_alloc Aborted I have narrowed down the cause of error to a line 53 in test.py rois = sess.run([net.get_output('rois')[0]],feed_dict=feed_dict) I there is any information missing please do ask. Thanks — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or mute the thread.

[zhao181]

Yes I got the same problem "Segmentation fault (core dumped)" . Have you fixed it? 发自网易邮箱大师 On 11/29/2017 14:32，cjt222<notifications@github.com> wrote： hello, i try to run code on cpu, but it caused like below: — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or mute the thread.

[eragonruan]

@zunair11 your device may not have sufficient memory to run the code

[struCoder]

@zhao181
I have follow your steps, but there always with problems:

➜  utils git:(master) ✗ ./make.sh
Traceback (most recent call last):
  File "setup.py", line 39, in <module>
    CUDA = locate_cuda()
  File "setup.py", line 26, in locate_cuda
    raise EnvironmentError('The nvcc binary could not be '
OSError: The nvcc binary could not be located in your $PATH. Either add it to your path, or set $CUDAHOME
mv: rename utils/* to ./*: No such file or directory

And i found the code in lib/utils/setup.py:

CUDA = locate_cuda()

This block code will always exec.

Thanks.

[zhao181]

It seems that you are using a gpu. I run the code only with cpu. I did not run make.sh since I follow the author's instruction and modified the setup.py to compile a cpu support. 发自网易邮箱大师 On 12/4/2017 16:23，David 大伟<notifications@github.com> wrote： @zhao181 I have follow your steps, but there always with problems: ➜ utils git:(master) ✗ ./make.sh Traceback (most recent call last): File "setup.py", line 39, in<module> CUDA = locate_cuda() File "setup.py", line 26, in locate_cuda raise EnvironmentError('The nvcc binary could not be ' OSError: The nvcc binary could not be located in your $PATH. Either add it to your path, or set$CUDAHOME mv: rename utils/* to ./*: No such file or directory and i found the code in lib/utils/setup.py: CUDA= locate_cuda() This block code will always exec. Thanks. — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or mute the thread.

[struCoder]

@zhao181

Got it.
Thanks a lot.

[zunair11]

@eragonruan I am monitoring the Raspberry Pi resource monitor the ram consumption is shown to be 250 ish MB out of 1 Gigs before the "bad alloc" error is encountered. Do you recommend any work around or is this a dead end for Raspberry Pi's capabilities

[struCoder]

Exec with CPU success, but some difference.
Hope help people in need.

My Sys Env:

• Mac os 10.13.1
• Python3.6.2
• Tensorflow 1.3

For CPU only, here is my setup.py

from Cython.Build import cythonize
import numpy as np
from distutils.core import setup
from distutils.extension import Extension

try:
    numpy_include = np.get_include()
except AttributeError:
    numpy_include = np.get_numpy_include()

ext_modules = [
    Extension(
        'bbox',
        sources=['bbox.c'],
        include_dirs = [numpy_include]
    ),
    Extension(
        'cython_nms',
        sources=['cython_nms.c'],
    )
]
setup(
    ext_modules=ext_modules
)

When execd command python setup.py build, there was new directory build have be created,
and copy build/bbox.cpython-36m-darwin.so and build/cython_nms.cpython-36m-darwin.so file to utils.

[eragonruan]

@zunair11 the code need about 1.5G memory.

[guddulrk]

When I execute CPU only setup.py file, I get following error:
SystemExit: usage: setup.py [global_opts] cmd1 [cmd1_opts] [cmd2 [cmd2_opts] ...]
or: setup.py --help [cmd1 cmd2 ...]
or: setup.py --help-commands
or: setup.py cmd --help

error: no commands supplied
Can you please help me?

[eragonruan]

@guddulrk python setup.py build_ext --inplace

[guddulrk]

When I run python setup.py build_ext --inplace
it shows me an invalid syntax error.

Any help please