動かすまで悪戦苦闘したので記録。
参考になれば幸いです。
公式URL：https://github.com/facebookresearch/Detectron
【必須環境】
NVIDIA GPU
Linux
Python2
Caffe2
COCO API
【My環境】
ノートPC: ALIENWARE 15 R13
OS: Ubuntu 16.04 LTS(Windowsマシンでデュアルブート)
MEMORY: 16GB
GPU: GeForce GTX 1070
CUDA: 8.0
Python: 2.7(Anaconda)
0. AnacondaでPython2の環境を作成
公式ではPython2を使ってるので以下のリンクからAnaconda 2をダウンロードします
https://www.anaconda.com/download/#linux
シェルを実行
$ bash Anaconda2-5.1.0-Linux-x86_64.sh
Enterキーを押す
Welcome to Anaconda2 5.1.0
In order to continue the installation process, please review the license
agreement.
Please, press ENTER to continue
>>>
ライセンスの説明が表示されます。Enterキーを押すと下にスクロールされます
===================================
Anaconda End User License Agreement
===================================
Copyright 2015, Anaconda, Inc.
All rights reserved under the 3-clause BSD License:
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the f
ollowing conditions are met:
* Redistributions of source code must retain the above copyright notice, this list of conditions and the followi
ng disclaimer.
* Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the foll
owing disclaimer in the documentation and/or other materials provided with the distribution.
* Neither the name of Anaconda, Inc. ("Anaconda, Inc.") nor the names of its contributors may be used to endorse
or promote products derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL ANACONDA, INC. BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY,
OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, S
TRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, E
VEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Notice of Third Party Software Licenses
=======================================
Anaconda Distribution contains open source software packages from third parties. These are available on an "as is"
basis and subject to their individual license agreements. These licenses are available in Anaconda Distribution o
r at http://docs.anaconda.com/anaconda/pkg-docs. Any binary packages of these third party tools you obtain via Ana
conda Distribution are subject to their individual licenses as well as the Anaconda license. Anaconda, Inc. reserv
es the right to change which third party tools are provided in Anaconda Distribution.
In particular, Anaconda Distribution contains re-distributable, run-time, shared-library files from the Intel(TM)
Math Kernel Library ("MKL binaries"). You are specifically authorized to use the MKL binaries with your installati
on of Anaconda Distribution. You are also authorized to redistribute the MKL binaries with Anaconda Distribution o
r in the conda package that contains them. Use and redistribution of the MKL binaries are subject to the licensing
terms located at https://software.intel.com/en-us/license/intel-simplified-software-license. If needed, instructi
ons for removing the MKL binaries after installation of Anaconda Distribution are available at http://www.anaconda
.com.
「yes」とタイプしEnterキーを押して同意しましょう。
Do you accept the license terms? [yes|no]
[no] >>>
インストールする場所の確認です。問題なければEnterキーを押します
Anaconda2 will now be installed into this location:
/home/Users/anaconda2
- Press ENTER to confirm the location
- Press CTRL-C to abort the installation
- Or specify a different location below
[/home/Users/anaconda2] >>>
noをタイプしてEnterキーを押す
WARNING:
You currently have a PYTHONPATH environment variable set. This may cause
unexpected behavior when running the Python interpreter in Anaconda2.
For best results, please verify that your PYTHONPATH only points to
directories of packages that are compatible with the Python interpreter
in Anaconda2: /home/Users/anaconda2
Do you wish the installer to prepend the Anaconda2 install location
to PATH in your /home/Users/.bashrc ? [yes|no]
[no] >>> no
You may wish to edit your .bashrc to prepend the Anaconda2 install location to PATH:
export PATH=/home/Users/anaconda2/bin:$PATH
Thank you for installing Anaconda2!
「yes」とタイプして、一応VSCodeをインストールしておきます。
===========================================================================
Anaconda is partnered with Microsoft! Microsoft VSCode is a streamlined
code editor with support for development operations like debugging, task
running and version control.
To install Visual Studio Code, you will need:
- Administrator Privileges
- Internet connectivity
Visual Studio Code License: https://code.visualstudio.com/license
Do you wish to proceed with the installation of Microsoft VSCode? [yes|no]
>>>
ホームディレクトリに移動
$ cd ~/
anaconda2が作成されているか確認
$ ls -la
さきほどPYTHONPATHのところで「no」と選択したので、手動でパスを追加します。
$ export PATH=~/anaconda2/bin:$PATH
「detectron」という名前でpython2の環境を構築。名前は自由に決めて大丈夫です。
cd anaconda2
$ conda create -n detectron python=2.7
「y」をタイプしてEnterキーを押す
Solving environment: done
## Package Plan ##
environment location: /home/Users/anaconda2/envs/detectron
added / updated specs:
- python=2.7
The following packages will be downloaded:
package | build
---------------------------|-----------------
ca-certificates-2018.03.07 | 0 124 KB
libgcc-ng-7.2.0 | hdf63c60_3 6.1 MB
pip-9.0.3 | py27_0 2.4 MB
wheel-0.31.0 | py27_0 61 KB
python-2.7.14 | h1571d57_31 11.8 MB
setuptools-39.0.1 | py27_0 582 KB
libstdcxx-ng-7.2.0 | hdf63c60_3 2.5 MB
------------------------------------------------------------
Total: 23.5 MB
The following NEW packages will be INSTALLED:
ca-certificates: 2018.03.07-0
certifi: 2018.1.18-py27_0
libedit: 3.1-heed3624_0
libffi: 3.2.1-hd88cf55_4
libgcc-ng: 7.2.0-hdf63c60_3
libstdcxx-ng: 7.2.0-hdf63c60_3
ncurses: 6.0-h9df7e31_2
openssl: 1.0.2o-h20670df_0
pip: 9.0.3-py27_0
python: 2.7.14-h1571d57_31
readline: 7.0-ha6073c6_4
setuptools: 39.0.1-py27_0
sqlite: 3.22.0-h1bed415_0
tk: 8.6.7-hc745277_3
wheel: 0.31.0-py27_0
zlib: 1.2.11-ha838bed_2
Proceed ([y]/n)?
成功しました！
ca-certificates 2018.03.07: ############################################################################## | 100%
libgcc-ng 7.2.0: ######################################################################################### | 100%
pip 9.0.3: ############################################################################################### | 100%
wheel 0.31.0: ############################################################################################ | 100%
python 2.7.14: ########################################################################################### | 100%
setuptools 39.0.1: ####################################################################################### | 100%
libstdcxx-ng 7.2.0: ###################################################################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use:
# > source activate detectron
#
# To deactivate an active environment, use:
# > source deactivate
#
作成した環境をアクティベート
$ source activate detectron
1. Caffe2
私はCUDA 8、CuDNN 7を利用しているため、以下のパッケージをインストールします
Caffe2: https://caffe2.ai/docs/getting-started.html?platform=ubuntu&configuration=prebuilt
$ conda install -c caffe2 caffe2-cuda8.0-cudnn7
Solving environment: done
## Package Plan ##
environment location: /home/Users/anaconda2/envs/detectron
added / updated specs:
- caffe2-cuda8.0-cudnn7
The following packages will be downloaded:
package | build
---------------------------|-----------------
future-0.16.0 | py27_1 641 KB
ffmpeg-3.4 | h7264315_0 8.0 MB
numpy-1.14.2 | py27hdbf6ddf_1 4.1 MB
libxcb-1.13 | h1bed415_0 501 KB
gflags-2.2.1 | hf484d3e_0 180 KB
lmdb-0.9.21 | hf484d3e_1 677 KB
leveldb-1.20 | hf484d3e_1 353 KB
libprotobuf-3.5.2 | h6f1eeef_0 4.2 MB
mkl_fft-1.0.1 | py27h3010b51_0 137 KB
snappy-1.1.7 | hbae5bb6_3 38 KB
mkl_random-1.0.1 | py27h629b387_0 361 KB
libgfortran-ng-7.2.0 | hdf63c60_3 1.2 MB
protobuf-3.5.2 | py27hf484d3e_0 603 KB
intel-openmp-2018.0.0 | 8 620 KB
opencv-3.3.1 | py27hdcf4849_0 38.9 MB
libopus-1.2.1 | hb9ed12e_0 382 KB
fontconfig-2.12.6 | h49f89f6_0 283 KB
harfbuzz-1.7.6 | hc5b324e_0 854 KB
glog-0.3.5 | hf484d3e_1 158 KB
libvpx-1.6.1 | h888fd40_0 2.3 MB
mkl-2018.0.2 | 1 205.2 MB
jasper-1.900.1 | hd497a04_4 279 KB
caffe2-cuda8.0-cudnn7-0.8.dev| py27h7cd0f3b_0 24.1 MB caffe2
libxml2-2.9.8 | hf84eae3_0 2.0 MB
------------------------------------------------------------
Total: 295.9 MB
The following NEW packages will be INSTALLED:
bzip2: 1.0.6-h9a117a8_4
caffe2-cuda8.0-cudnn7: 0.8.dev-py27h7cd0f3b_0 caffe2
cairo: 1.14.12-h77bcde2_0
ffmpeg: 3.4-h7264315_0
fontconfig: 2.12.6-h49f89f6_0
freetype: 2.8-hab7d2ae_1
future: 0.16.0-py27_1
gflags: 2.2.1-hf484d3e_0
glib: 2.53.6-h5d9569c_2
glog: 0.3.5-hf484d3e_1
graphite2: 1.3.10-hf63cedd_1
harfbuzz: 1.7.6-hc5b324e_0
hdf5: 1.10.1-h9caa474_1
icu: 58.2-h9c2bf20_1
intel-openmp: 2018.0.0-8
jasper: 1.900.1-hd497a04_4
jpeg: 9b-h024ee3a_2
leveldb: 1.20-hf484d3e_1
libgfortran-ng: 7.2.0-hdf63c60_3
libopus: 1.2.1-hb9ed12e_0
libpng: 1.6.34-hb9fc6fc_0
libprotobuf: 3.5.2-h6f1eeef_0
libtiff: 4.0.9-h28f6b97_0
libvpx: 1.6.1-h888fd40_0
libxcb: 1.13-h1bed415_0
libxml2: 2.9.8-hf84eae3_0
lmdb: 0.9.21-hf484d3e_1
mkl: 2018.0.2-1
mkl_fft: 1.0.1-py27h3010b51_0
mkl_random: 1.0.1-py27h629b387_0
numpy: 1.14.2-py27hdbf6ddf_1
opencv: 3.3.1-py27hdcf4849_0
pcre: 8.41-hc27e229_1
pixman: 0.34.0-hceecf20_3
protobuf: 3.5.2-py27hf484d3e_0
six: 1.11.0-py27h5f960f1_1
snappy: 1.1.7-hbae5bb6_3
xz: 5.2.3-h55aa19d_2
Proceed ([y]/n)?
「y」をタイプしてEnterキーを押す
Downloading and Extracting Packages
future 0.16.0: ########################################################################################### | 100%
ffmpeg 3.4: ############################################################################################## | 100%
numpy 1.14.2: ############################################################################################ | 100%
libxcb 1.13: ############################################################################################# | 100%
gflags 2.2.1: ############################################################################################ | 100%
lmdb 0.9.21: ############################################################################################# | 100%
leveldb 1.20: ############################################################################################ | 100%
libprotobuf 3.5.2: ####################################################################################### | 100%
mkl_fft 1.0.1: ########################################################################################### | 100%
snappy 1.1.7: ############################################################################################ | 100%
mkl_random 1.0.1: ######################################################################################## | 100%
libgfortran-ng 7.2.0: #################################################################################### | 100%
protobuf 3.5.2: ########################################################################################## | 100%
intel-openmp 2018.0.0: ################################################################################### | 100%
opencv 3.3.1: ############################################################################################ | 100%
libopus 1.2.1: ########################################################################################### | 100%
fontconfig 2.12.6: ####################################################################################### | 100%
harfbuzz 1.7.6: ########################################################################################## | 100%
glog 0.3.5: ############################################################################################## | 100%
libvpx 1.6.1: ############################################################################################ | 100%
mkl 2018.0.2: ############################################################################################ | 100%
jasper 1.900.1: ########################################################################################## | 100%
caffe2-cuda8.0-cudnn7 0.8.dev: ########################################################################### | 100%
libxml2 2.9.8: ########################################################################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
Caffe2がちゃんとインストールされてるかチェックします
$ python2 -c 'from caffe2.python import core' 2>/dev/null && echo "Success" || echo "Failure"
Successと表示されればOK!
Success
利用できるGPUの数をチェックします
$ python2 -c 'from caffe2.python import workspace; print(workspace.NumCudaDevices())'
私の環境では1つのGPUであるGTX1070しかないため「1」と表示されます
1
2. 依存関係に必要なものをインストール
$ pip install numpy>=1.13 pyyaml>=3.12 matplotlib opencv-python>=3.2 setuptools Cython mock scipy
COCO APIをクローン
$ git clone https://github.com/cocodataset/cocoapi.git
移動
$ cd cocoapi/PythonAPI
インストール
$ make install
# install pycocotools to the Python site-packages
python setup.py build_ext install
Compiling pycocotools/_mask.pyx because it changed.
[1/1] Cythonizing pycocotools/_mask.pyx
running build_ext
building 'pycocotools._mask' extension
creating build
creating build/temp.linux-x86_64-2.7
creating build/temp.linux-x86_64-2.7/pycocotools
creating build/common
gcc -pthread -B /home/Users/anaconda2/envs/detectron/compiler_compat -Wl,--sysroot=/ -fno-strict-aliasing -g -O2 -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/Users/anaconda2/envs/detectron/lib/python2.7/site-packages/numpy/core/include -I../common -I/home/Users/anaconda2/envs/detectron/include/python2.7 -c pycocotools/_mask.c -o build/temp.linux-x86_64-2.7/pycocotools/_mask.o -Wno-cpp -Wno-unused-function -std=c99
gcc -pthread -B /home/Users/anaconda2/envs/detectron/compiler_compat -Wl,--sysroot=/ -fno-strict-aliasing -g -O2 -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/Users/anaconda2/envs/detectron/lib/python2.7/site-packages/numpy/core/include -I../common -I/home/Users/anaconda2/envs/detectron/include/python2.7 -c ../common/maskApi.c -o build/temp.linux-x86_64-2.7/../common/maskApi.o -Wno-cpp -Wno-unused-function -std=c99
creating build/lib.linux-x86_64-2.7
creating build/lib.linux-x86_64-2.7/pycocotools
gcc -pthread -shared -B /home/Users/anaconda2/envs/detectron/compiler_compat -L/home/Users/anaconda2/envs/detectron/lib -Wl,-rpath=/home/Users/anaconda2/envs/detectron/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-2.7/pycocotools/_mask.o build/temp.linux-x86_64-2.7/../common/maskApi.o -L/home/Users/anaconda2/envs/detectron/lib -lpython2.7 -o build/lib.linux-x86_64-2.7/pycocotools/_mask.so
running install
running build
running build_py
copying pycocotools/cocoeval.py -> build/lib.linux-x86_64-2.7/pycocotools
copying pycocotools/__init__.py -> build/lib.linux-x86_64-2.7/pycocotools
copying pycocotools/coco.py -> build/lib.linux-x86_64-2.7/pycocotools
copying pycocotools/mask.py -> build/lib.linux-x86_64-2.7/pycocotools
running install_lib
creating /home/Users/anaconda2/envs/detectron/lib/python2.7/site-packages/pycocotools
copying build/lib.linux-x86_64-2.7/pycocotools/cocoeval.py -> /home/Users/anaconda2/envs/detectron/lib/python2.7/site-packages/pycocotools
copying build/lib.linux-x86_64-2.7/pycocotools/__init__.py -> /home/Users/anaconda2/envs/detectron/lib/python2.7/site-packages/pycocotools
copying build/lib.linux-x86_64-2.7/pycocotools/_mask.so -> /home/Users/anaconda2/envs/detectron/lib/python2.7/site-packages/pycocotools
copying build/lib.linux-x86_64-2.7/pycocotools/coco.py -> /home/Users/anaconda2/envs/detectron/lib/python2.7/site-packages/pycocotools
copying build/lib.linux-x86_64-2.7/pycocotools/mask.py -> /home/Users/anaconda2/envs/detectron/lib/python2.7/site-packages/pycocotools
byte-compiling /home/Users/anaconda2/envs/detectron/lib/python2.7/site-packages/pycocotools/cocoeval.py to cocoeval.pyc
byte-compiling /home/Users/anaconda2/envs/detectron/lib/python2.7/site-packages/pycocotools/__init__.py to __init__.pyc
byte-compiling /home/Users/anaconda2/envs/detectron/lib/python2.7/site-packages/pycocotools/coco.py to coco.pyc
byte-compiling /home/Users/anaconda2/envs/detectron/lib/python2.7/site-packages/pycocotools/mask.py to mask.pyc
running install_egg_info
Writing /home/Users/anaconda2/envs/detectron/lib/python2.7/site-packages/pycocotools-2.0-py2.7.egg-info
rm -rf build
3. Detectron
クローン
$ git clone https://github.com/facebookresearch/detectron
Cloning into 'detectron'...
remote: Counting objects: 610, done.
remote: Compressing objects: 100% (24/24), done.
remote: Total 610 (delta 12), reused 14 (delta 7), pack-reused 579
Receiving objects: 100% (610/610), 3.77 MiB | 285.00 KiB/s, done.
Resolving deltas: 100% (346/346), done.
移動
$ cd detectron/lib
Make
$ make
python2 setup.py develop --user
Compiling utils/cython_bbox.pyx because it changed.
Compiling utils/cython_nms.pyx because it changed.
[1/2] Cythonizing utils/cython_bbox.pyx
[2/2] Cythonizing utils/cython_nms.pyx
running develop
running egg_info
creating Detectron.egg-info
writing Detectron.egg-info/PKG-INFO
writing top-level names to Detectron.egg-info/top_level.txt
writing dependency_links to Detectron.egg-info/dependency_links.txt
writing manifest file 'Detectron.egg-info/SOURCES.txt'
reading manifest file 'Detectron.egg-info/SOURCES.txt'
writing manifest file 'Detectron.egg-info/SOURCES.txt'
running build_ext
building 'utils.cython_bbox' extension
creating build
creating build/temp.linux-x86_64-2.7
creating build/temp.linux-x86_64-2.7/utils
gcc -pthread -B /home/Users/anaconda2/envs/detectron/compiler_compat -Wl,--sysroot=/ -fno-strict-aliasing -g -O2 -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/Users/anaconda2/envs/detectron/lib/python2.7/site-packages/numpy/core/include -I/home/Users/anaconda2/envs/detectron/include/python2.7 -c utils/cython_bbox.c -o build/temp.linux-x86_64-2.7/utils/cython_bbox.o -Wno-cpp
creating build/lib.linux-x86_64-2.7
creating build/lib.linux-x86_64-2.7/utils
gcc -pthread -shared -B /home/Users/anaconda2/envs/detectron/compiler_compat -L/home/Users/anaconda2/envs/detectron/lib -Wl,-rpath=/home/Users/anaconda2/envs/detectron/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-2.7/utils/cython_bbox.o -L/home/Users/anaconda2/envs/detectron/lib -lpython2.7 -o build/lib.linux-x86_64-2.7/utils/cython_bbox.so
building 'utils.cython_nms' extension
gcc -pthread -B /home/Users/anaconda2/envs/detectron/compiler_compat -Wl,--sysroot=/ -fno-strict-aliasing -g -O2 -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/Users/anaconda2/envs/detectron/lib/python2.7/site-packages/numpy/core/include -I/home/Users/anaconda2/envs/detectron/include/python2.7 -c utils/cython_nms.c -o build/temp.linux-x86_64-2.7/utils/cython_nms.o -Wno-cpp
gcc -pthread -shared -B /home/Users/anaconda2/envs/detectron/compiler_compat -L/home/Users/anaconda2/envs/detectron/lib -Wl,-rpath=/home/Users/anaconda2/envs/detectron/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-2.7/utils/cython_nms.o -L/home/Users/anaconda2/envs/detectron/lib -lpython2.7 -o build/lib.linux-x86_64-2.7/utils/cython_nms.so
copying build/lib.linux-x86_64-2.7/utils/cython_bbox.so -> utils
copying build/lib.linux-x86_64-2.7/utils/cython_nms.so -> utils
Creating /home/Users/.local/lib/python2.7/site-packages/Detectron.egg-link (link to .)
Removing Detectron 0.0.0 from easy-install.pth file
Adding Detectron 0.0.0 to easy-install.pth file
Installed /home/Users/workspace/GitHub/detectron/lib
Processing dependencies for Detectron==0.0.0
Finished processing dependencies for Detectron==0.0.0
移動
$ cd ..
テスト
$ python tests/test_spatial_narrow_as_op.py
No handlers could be found for logger "caffe2.python.net_drawer"
net_drawer will not run correctly. Please install the correct dependencies.
E0408 07:22:00.859783 4508 init_intrinsics_check.cc:43] CPU feature avx is present on your machine, but the Caffe2 binary is not compiled with it. It means you may not get the full speed of your CPU.
E0408 07:22:00.859844 4508 init_intrinsics_check.cc:43] CPU feature avx2 is present on your machine, but the Caffe2 binary is not compiled with it. It means you may not get the full speed of your CPU.
E0408 07:22:00.859859 4508 init_intrinsics_check.cc:43] CPU feature fma is present on your machine, but the Caffe2 binary is not compiled with it. It means you may not get the full speed of your CPU.
Found Detectron ops lib: /usr/local/lib/libcaffe2_detectron_ops_gpu.so
...
----------------------------------------------------------------------
Ran 3 tests in 2.761s
OK
いざ、Detectronを実行...
$ python tools/infer_simple.py --cfg configs/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml --output-dir /tmp/detectron-visualizations --image-ext jpg --wts https://s3-us-west-2.amazonaws.com/detectron/35861858/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml.02_32_51.SgT4y1cO/output/train/coco_2014_train:coco_2014_valminusminival/generalized_rcnn/model_final.pkl demo
Error発生orz
以下のエラーが出た場合、PYTHONPATHが影響している可能性があります。
Traceback (most recent call last):
File "tools/infer_simple.py", line 43, in <module>
import core.test_engine as infer_engine
File "/home/Users/workspace/GitHub/detectron/lib/core/test_engine.py", line 35, in <module>
from core.rpn_generator import generate_rpn_on_dataset
File "/home/Users/workspace/GitHub/detectron/lib/core/rpn_generator.py", line 42, in <module>
from datasets import task_evaluation
ImportError: cannot import name task_evaluation
チェックしてみましょう。
$ echo $PYTHONPATH
TensorFlowのObject Detection APIで設定したパスがありました。(Object Detection APIについては後日記事にします)
/home/Users/workspace/GitHub/tensorflow:/home/Users/workspace/GitHub/tensorflow/models/research/slim
$ vim ~/.bashrc
exportの箇所をコメントアウトします
Before
# Object Detection API
export PYTHONPATH=$PYTHONPATH:/home/Users/workspace/GitHub/tensorflow
export PYTHONPATH=$PYTHONPATH:/home/Users/workspace/GitHub/tensorflow/models/research/slim
After
コメントアウトして保存します
# Object Detection API
# export PYTHONPATH=$PYTHONPATH:/home/Users/workspace/GitHub/tensorflow
# export PYTHONPATH=$PYTHONPATH:/home/Users/workspace/GitHub/tensorflow/models/research/slim
$ source ~/.bashrc
もう一度作成したPythonの環境に入ります
$ source activate detectron
改めて実行
$ python tools/infer_simple.py --cfg configs/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml --output-dir /tmp/detectron-visualizations --image-ext jpg --wts https://s3-us-west-2.amazonaws.com/detectron/35861858/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml.02_32_51.SgT4y1cO/output/train/coco_2014_train:coco_2014_valminusminival/generalized_rcnn/model_final.pkl demo
おお！
Found Detectron ops lib: /usr/local/lib/libcaffe2_detectron_ops_gpu.so
E0408 07:59:06.081162 6595 init_intrinsics_check.cc:43] CPU feature avx is present on your machine, but the Caffe2 binary is not compiled with it. It means you may not get the full speed of your CPU.
E0408 07:59:06.081207 6595 init_intrinsics_check.cc:43] CPU feature avx2 is present on your machine, but the Caffe2 binary is not compiled with it. It means you may not get the full speed of your CPU.
E0408 07:59:06.081216 6595 init_intrinsics_check.cc:43] CPU feature fma is present on your machine, but the Caffe2 binary is not compiled with it. It means you may not get the full speed of your CPU.
WARNING cnn.py: 25: [====DEPRECATE WARNING====]: you are creating an object from CNNModelHelper class which will be deprecated soon. Please use ModelHelper object with brew module. For more information, please refer to caffe2.ai and python/brew.py, python/brew_test.py for more information.
INFO net.py: 57: Loading weights from: /tmp/detectron-download-cache/35861858/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml.02_32_51.SgT4y1cO/output/train/coco_2014_train:coco_2014_valminusminival/generalized_rcnn/model_final.pkl
I0408 07:59:18.816251 6595 net_dag_utils.cc:102] Operator graph pruning prior to chain compute took: 0.000639494 secs
I0408 07:59:18.817175 6595 net_dag.cc:46] Number of parallel execution chains 63 Number of operators = 402
I0408 07:59:18.865633 6595 net_dag_utils.cc:102] Operator graph pruning prior to chain compute took: 0.000171562 secs
I0408 07:59:18.865896 6595 net_dag.cc:46] Number of parallel execution chains 30 Number of operators = 358
I0408 07:59:18.867718 6595 net_dag_utils.cc:102] Operator graph pruning prior to chain compute took: 1.2368e-05 secs
I0408 07:59:18.867754 6595 net_dag.cc:46] Number of parallel execution chains 5 Number of operators = 18
INFO infer_simple.py: 112: Processing demo/18124840932_e42b3e377c_k.jpg -> /tmp/detectron-visualizations/18124840932_e42b3e377c_k.jpg.pdf
INFO infer_simple.py: 120: Inference time: 5.019s
INFO infer_simple.py: 122: | im_detect_bbox: 4.956s
INFO infer_simple.py: 122: | misc_mask: 0.028s
INFO infer_simple.py: 122: | im_detect_mask: 0.031s
INFO infer_simple.py: 122: | misc_bbox: 0.003s
INFO infer_simple.py: 125: \ Note: inference on the first image will be slower than the rest (caches and auto-tuning need to warm up)
INFO infer_simple.py: 112: Processing demo/17790319373_bd19b24cfc_k.jpg -> /tmp/detectron-visualizations/17790319373_bd19b24cfc_k.jpg.pdf
INFO infer_simple.py: 120: Inference time: 0.411s
INFO infer_simple.py: 122: | im_detect_bbox: 0.319s
INFO infer_simple.py: 122: | misc_mask: 0.056s
INFO infer_simple.py: 122: | im_detect_mask: 0.032s
INFO infer_simple.py: 122: | misc_bbox: 0.003s
INFO infer_simple.py: 112: Processing demo/15673749081_767a7fa63a_k.jpg -> /tmp/detectron-visualizations/15673749081_767a7fa63a_k.jpg.pdf
INFO infer_simple.py: 120: Inference time: 0.373s
INFO infer_simple.py: 122: | im_detect_bbox: 0.172s
INFO infer_simple.py: 122: | misc_mask: 0.062s
INFO infer_simple.py: 122: | im_detect_mask: 0.136s
INFO infer_simple.py: 122: | misc_bbox: 0.003s
INFO infer_simple.py: 112: Processing demo/24274813513_0cfd2ce6d0_k.jpg -> /tmp/detectron-visualizations/24274813513_0cfd2ce6d0_k.jpg.pdf
INFO infer_simple.py: 120: Inference time: 0.201s
INFO infer_simple.py: 122: | im_detect_bbox: 0.166s
INFO infer_simple.py: 122: | misc_mask: 0.021s
INFO infer_simple.py: 122: | im_detect_mask: 0.012s
INFO infer_simple.py: 122: | misc_bbox: 0.003s
INFO infer_simple.py: 112: Processing demo/19064748793_bb942deea1_k.jpg -> /tmp/detectron-visualizations/19064748793_bb942deea1_k.jpg.pdf
INFO infer_simple.py: 120: Inference time: 0.278s
INFO infer_simple.py: 122: | im_detect_bbox: 0.168s
INFO infer_simple.py: 122: | misc_mask: 0.063s
INFO infer_simple.py: 122: | im_detect_mask: 0.044s
INFO infer_simple.py: 122: | misc_bbox: 0.003s
INFO infer_simple.py: 112: Processing demo/16004479832_a748d55f21_k.jpg -> /tmp/detectron-visualizations/16004479832_a748d55f21_k.jpg.pdf
INFO infer_simple.py: 120: Inference time: 0.193s
INFO infer_simple.py: 122: | im_detect_bbox: 0.166s
INFO infer_simple.py: 122: | misc_mask: 0.016s
INFO infer_simple.py: 122: | im_detect_mask: 0.007s
INFO infer_simple.py: 122: | misc_bbox: 0.003s
INFO infer_simple.py: 112: Processing demo/33887522274_eebd074106_k.jpg -> /tmp/detectron-visualizations/33887522274_eebd074106_k.jpg.pdf
INFO infer_simple.py: 120: Inference time: 0.191s
INFO infer_simple.py: 122: | im_detect_bbox: 0.169s
INFO infer_simple.py: 122: | misc_mask: 0.012s
INFO infer_simple.py: 122: | im_detect_mask: 0.007s
INFO infer_simple.py: 122: | misc_bbox: 0.003s
INFO infer_simple.py: 112: Processing demo/33823288584_1d21cf0a26_k.jpg -> /tmp/detectron-visualizations/33823288584_1d21cf0a26_k.jpg.pdf
INFO infer_simple.py: 120: Inference time: 0.374s
INFO infer_simple.py: 122: | im_detect_bbox: 0.267s
INFO infer_simple.py: 122: | misc_mask: 0.073s
INFO infer_simple.py: 122: | im_detect_mask: 0.032s
INFO infer_simple.py: 122: | misc_bbox: 0.003s
INFO infer_simple.py: 112: Processing demo/34501842524_3c858b3080_k.jpg -> /tmp/detectron-visualizations/34501842524_3c858b3080_k.jpg.pdf
INFO infer_simple.py: 120: Inference time: 0.186s
INFO infer_simple.py: 122: | im_detect_bbox: 0.160s
INFO infer_simple.py: 122: | misc_mask: 0.015s
INFO infer_simple.py: 122: | im_detect_mask: 0.007s
INFO infer_simple.py: 122: | misc_bbox: 0.002s
(detectron) Users@Alienware-15-R3:~/workspace/GitHub/detectron$ cd /tmp/detectron-visualizations/
(detectron) Users@Alienware-15-R3:/tmp/detectron-visualizations$ ll
total 18676
drwxrwxr-x 2 Users Users 4096 4月 8 07:59 ./
drwxrwxrwt 18 root root 20480 4月 8 08:00 ../
-rw-rw-r-- 1 Users Users 1124574 4月 8 07:59 15673749081_767a7fa63a_k.jpg.pdf
-rw-rw-r-- 1 Users Users 846650 4月 8 07:59 16004479832_a748d55f21_k.jpg.pdf
-rw-rw-r-- 1 Users Users 1075018 4月 8 07:59 17790319373_bd19b24cfc_k.jpg.pdf
-rw-rw-r-- 1 Users Users 952702 4月 8 07:59 18124840932_e42b3e377c_k.jpg.pdf
-rw-rw-r-- 1 Users Users 1008141 4月 8 07:59 19064748793_bb942deea1_k.jpg.pdf
-rw-rw-r-- 1 Users Users 717422 4月 8 07:59 24274813513_0cfd2ce6d0_k.jpg.pdf
-rw-rw-r-- 1 Users Users 1287714 4月 8 07:59 33823288584_1d21cf0a26_k.jpg.pdf
-rw-rw-r-- 1 Users Users 758560 4月 8 07:59 33887522274_eebd074106_k.jpg.pdf
-rw-rw-r-- 1 Users Users 1174700 4月 8 07:59 34501842524_3c858b3080_k.jpg.pdf
-rw-rw-r-- 1 Users Users 10133503 4月 7 10:38 IMG_0560.jpg.pdf
(detectron) Users@Alienware-15-R3:/tmp/detectron-visualizations$ xdg-open .
(detectron) Users@Alienware-15-R3:/tmp/detectron-visualizations$
(nautilus:6720): GLib-GIO-CRITICAL **: g_dbus_interface_skeleton_unexport: assertion 'interface_->priv->connections != NULL' failed
(nautilus:6720): GLib-GIO-CRITICAL **: g_dbus_interface_skeleton_unexport: assertion 'interface_->priv->connections != NULL' failed
(nautilus:6720): Gtk-CRITICAL **: gtk_icon_theme_get_for_screen: assertion 'GDK_IS_SCREEN (screen)' failed
(nautilus:6720): GLib-GObject-WARNING **: invalid (NULL) pointer instance
(nautilus:6720): GLib-GObject-CRITICAL **: g_signal_connect_object: assertion 'G_TYPE_CHECK_INSTANCE (instance)' failed
マスクした結果が/tmp/detectron-visualizationsに保存されます。移動しましょう。
$ cd /tmp/detectron-visualizations
Macでいうopen .でフォルダを開きます
$ xdg-open .
ヤバイっすね！