luo@luo-All-Series:~/MyFile$
luo@luo-All-Series:~/MyFile$
luo@luo-All-Series:~/MyFile$ git clone https://github.com/endernewton/tf-faster-rcnn.git
Cloning into 'tf-faster-rcnn'...
remote: Enumerating objects: 1675, done.
remote: Total 1675 (delta 0), reused 0 (delta 0), pack-reused 1675
Receiving objects: 100% (1675/1675), 2.45 MiB | 429.00 KiB/s, done.
Resolving deltas: 100% (1090/1090), done.
luo@luo-All-Series:~/MyFile$
luo@luo-All-Series:~/MyFile$ ls
20190227-5 Anaconda3 arraypad.py COCO labelImg Labelme opencv TensorflowProject tf-faster-rcnn
luo@luo-All-Series:~/MyFile$
luo@luo-All-Series:~/MyFile$

################################################################################

/home/luo/MyFile/tf-faster-rcnn/lib   setup.py

line 87    #self.set_executable('compiler_so', CUDA['nvcc'])

line 120-136
#Extension('nms.gpu_nms',
# ['nms/nms_kernel.cu', 'nms/gpu_nms.pyx'],
# library_dirs=[CUDA['lib64']],
# libraries=['cudart'],
# language='c++',
# runtime_library_dirs=[CUDA['lib64']],
# # this syntax is specific to this build system
# # we're only going to use certain compiler args with nvcc and not with gcc
# # the implementation of this trick is in customize_compiler() below
# extra_compile_args={'gcc': ["-Wno-unused-function"],
# 'nvcc': ['-arch=sm_52',
# '--ptxas-options=-v',
# '-c',
# '--compiler-options',
# "'-fPIC'"]},
# include_dirs = [numpy_include, CUDA['include']]
#)
 
###########################################################################
/home/luo/MyFile/tf-faster-rcnn/lib/model   config.py
line  270

__C.USE_GPU_NMS = False
 
###########################################################################

/home/luo/MyFile/tf-faster-rcnn/lib/model     nms_wrapper.py

line 20-21

#if cfg.USE_GPU_NMS and not force_cpu:
# return gpu_nms(dets, thresh, device_id=0)

--------------------------------------------------------------------------------------------------------------------------------

luo@luo-All-Series:~/MyFile/tf-faster-rcnn/lib$ make
python setup.py build_ext --inplace
running build_ext
cythoning utils/bbox.pyx to utils/bbox.c
building 'utils.cython_bbox' extension
creating build
creating build/temp.linux-x86_64-3.6
creating build/temp.linux-x86_64-3.6/utils
{'gcc': ['-Wno-cpp', '-Wno-unused-function']}
gcc -pthread -B /home/luo/anaconda3/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/luo/anaconda3/lib/python3.6/site-packages/numpy/core/include -I/home/luo/anaconda3/include/python3.6m -c utils/bbox.c -o build/temp.linux-x86_64-3.6/utils/bbox.o -Wno-cpp -Wno-unused-function
gcc -pthread -shared -B /home/luo/anaconda3/compiler_compat -L/home/luo/anaconda3/lib -Wl,-rpath=/home/luo/anaconda3/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.6/utils/bbox.o -o /home/luo/MyFile/tf-faster-rcnn/lib/utils/cython_bbox.cpython-36m-x86_64-linux-gnu.so
skipping 'nms/cpu_nms.c' Cython extension (up-to-date)
building 'nms.cpu_nms' extension
creating build/temp.linux-x86_64-3.6/nms
{'gcc': ['-Wno-cpp', '-Wno-unused-function']}
gcc -pthread -B /home/luo/anaconda3/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/luo/anaconda3/lib/python3.6/site-packages/numpy/core/include -I/home/luo/anaconda3/include/python3.6m -c nms/cpu_nms.c -o build/temp.linux-x86_64-3.6/nms/cpu_nms.o -Wno-cpp -Wno-unused-function
gcc -pthread -shared -B /home/luo/anaconda3/compiler_compat -L/home/luo/anaconda3/lib -Wl,-rpath=/home/luo/anaconda3/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.6/nms/cpu_nms.o -o /home/luo/MyFile/tf-faster-rcnn/lib/nms/cpu_nms.cpython-36m-x86_64-linux-gnu.so
rm -rf build
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/lib$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/lib$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/lib$ cd ..
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$ ls
data docker experiments lib LICENSE README.md tools
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$ cd data
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$ ls
demo imgs scripts
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$ git clone https://github.com/pdollar/coco.git
Cloning into 'coco'...
remote: Enumerating objects: 953, done.
remote: Total 953 (delta 0), reused 0 (delta 0), pack-reused 953
Receiving objects: 100% (953/953), 11.70 MiB | 355.00 KiB/s, done.
Resolving deltas: 100% (566/566), done.
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$ ls
coco demo imgs scripts
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$ cd coco/PythonAPI
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/coco/PythonAPI$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/coco/PythonAPI$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/coco/PythonAPI$ ls
Makefile pycocoDemo.ipynb pycocoEvalDemo.ipynb pycocotools setup.py
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/coco/PythonAPI$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/coco/PythonAPI$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/coco/PythonAPI$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/coco/PythonAPI$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/coco/PythonAPI$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/coco/PythonAPI$ make
python setup.py build_ext --inplace
running build_ext
cythoning pycocotools/_mask.pyx to pycocotools/_mask.c
building 'pycocotools._mask' extension
creating build
creating build/common
creating build/temp.linux-x86_64-3.6
creating build/temp.linux-x86_64-3.6/pycocotools
gcc -pthread -B /home/luo/anaconda3/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/luo/anaconda3/lib/python3.6/site-packages/numpy/core/include -I../common -I/home/luo/anaconda3/include/python3.6m -c ../common/maskApi.c -o build/temp.linux-x86_64-3.6/../common/maskApi.o -Wno-cpp -Wno-unused-function -std=c99
../common/maskApi.c: In function ‘rleToBbox’:
../common/maskApi.c:141:31: warning: ‘xp’ may be used uninitialized in this function [-Wmaybe-uninitialized]
if(j%2==0) xp=x; else if(xp<x) { ys=0; ye=h-1; }
^
gcc -pthread -B /home/luo/anaconda3/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/luo/anaconda3/lib/python3.6/site-packages/numpy/core/include -I../common -I/home/luo/anaconda3/include/python3.6m -c pycocotools/_mask.c -o build/temp.linux-x86_64-3.6/pycocotools/_mask.o -Wno-cpp -Wno-unused-function -std=c99
creating build/lib.linux-x86_64-3.6
creating build/lib.linux-x86_64-3.6/pycocotools
gcc -pthread -shared -B /home/luo/anaconda3/compiler_compat -L/home/luo/anaconda3/lib -Wl,-rpath=/home/luo/anaconda3/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.6/../common/maskApi.o build/temp.linux-x86_64-3.6/pycocotools/_mask.o -o build/lib.linux-x86_64-3.6/pycocotools/_mask.cpython-36m-x86_64-linux-gnu.so
copying build/lib.linux-x86_64-3.6/pycocotools/_mask.cpython-36m-x86_64-linux-gnu.so -> pycocotools
rm -rf build
luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/coco/PythonAPI$ cd ../../..
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$ ls
data docker experiments lib LICENSE README.md tools
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$ ls
data docker experiments lib LICENSE README.md tools voc_0712_80k-110k.tgz VOCdevkit2007 VOCdevkit2012
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$ tar voc_0712_80k-110k.tgz
tar: Old option 'g' requires an argument.
Try 'tar --help' or 'tar --usage' for more information.
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$ tar -zxvf voc_0712_80k-110k.tgz
voc_2007_trainval+voc_2012_trainval/
voc_2007_trainval+voc_2012_trainval/res101_faster_rcnn_iter_110000.ckpt.meta
voc_2007_trainval+voc_2012_trainval/res101_faster_rcnn_iter_110000.ckpt.index
voc_2007_trainval+voc_2012_trainval/res101_faster_rcnn_iter_110000.ckpt.data-00000-of-00001
voc_2007_trainval+voc_2012_trainval/res101_faster_rcnn_iter_110000.pkl
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
luo@luo-All-Series:~/MyFile/tf-faster-rcnn$

luo@luo-All-Series:~/MyFile/tf-faster-rcnn$ cd ../
luo@luo-All-Series:~/MyFile$
luo@luo-All-Series:~/MyFile$
luo@luo-All-Series:~/MyFile$
luo@luo-All-Series:~/MyFile$
luo@luo-All-Series:~/MyFile$ source activate flappbird
(flappbird) luo@luo-All-Series:~/MyFile$
(flappbird) luo@luo-All-Series:~/MyFile$
(flappbird) luo@luo-All-Series:~/MyFile$
(flappbird) luo@luo-All-Series:~/MyFile$
(flappbird) luo@luo-All-Series:~/MyFile$ ls
20190227-5 Anaconda3 arraypad.py COCO labelImg Labelme opencv TensorflowProject tf-faster-rcnn
(flappbird) luo@luo-All-Series:~/MyFile$
(flappbird) luo@luo-All-Series:~/MyFile$
(flappbird) luo@luo-All-Series:~/MyFile$
(flappbird) luo@luo-All-Series:~/MyFile$ cd tf-faster-rcnn
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn$ ls
data docker experiments lib LICENSE README.md tools voc_0712_80k-110k.tgz VOCdevkit2007 VOCdevkit2012
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn$ NET=res101
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn$ cd data
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$ ls
coco demo imgs reval.py test_net.py voc_2007_trainval+voc_2012_trainval
convert_from_depre.py demo.py _init_paths.py scripts trainval_net.py
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$ TRAIN_IMDB=voc_2007_trainval+voc_2012_trainval
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$ mkdir -p output/${NET}/${TRAIN_IMDB}
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$ ls
coco demo imgs output scripts trainval_net.py
convert_from_depre.py demo.py _init_paths.py reval.py test_net.py voc_2007_trainval+voc_2012_trainval
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$ cd output/${NET}/${TRAIN_IMDB}
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/output/res101/voc_2007_trainval+voc_2012_trainval$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/output/res101/voc_2007_trainval+voc_2012_trainval$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/output/res101/voc_2007_trainval+voc_2012_trainval$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/output/res101/voc_2007_trainval+voc_2012_trainval$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/output/res101/voc_2007_trainval+voc_2012_trainval$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/output/res101/voc_2007_trainval+voc_2012_trainval$ ln -s ../../../data/voc_2007_trainval+voc_2012_trainval ./default
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/output/res101/voc_2007_trainval+voc_2012_trainval$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/output/res101/voc_2007_trainval+voc_2012_trainval$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/output/res101/voc_2007_trainval+voc_2012_trainval$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/output/res101/voc_2007_trainval+voc_2012_trainval$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/output/res101/voc_2007_trainval+voc_2012_trainval$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/output/res101/voc_2007_trainval+voc_2012_trainval$ cd ../../..
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$ ls
coco demo imgs output scripts trainval_net.py
convert_from_depre.py demo.py _init_paths.py reval.py test_net.py voc_2007_trainval+voc_2012_trainval
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$ ln -s ../../../voc_2007_trainval+voc_2012_trainval ./default
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$ NET=res101
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$ TRAIN_IMDB=voc_2007_trainval+voc_2012_trainval
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$ mkdir -p output/${NET}/${TRAIN_IMDB}
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$ cd output/${NET}/${TRAIN_IMDB}
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/output/res101/voc_2007_trainval+voc_2012_trainval$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/output/res101/voc_2007_trainval+voc_2012_trainval$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/output/res101/voc_2007_trainval+voc_2012_trainval$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/output/res101/voc_2007_trainval+voc_2012_trainval$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/output/res101/voc_2007_trainval+voc_2012_trainval$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/output/res101/voc_2007_trainval+voc_2012_trainval$ ln -s ../../../voc_2007_trainval+voc_2012_trainval ./default
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/output/res101/voc_2007_trainval+voc_2012_trainval$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data/output/res101/voc_2007_trainval+voc_2012_trainval$ cd ../../..
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$ ls
coco default demo.py _init_paths.py reval.py test_net.py voc_2007_trainval+voc_2012_trainval
convert_from_depre.py demo imgs output scripts trainval_net.py
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$ python demo.py
2019-05-15 15:25:23.759213: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
Loaded network output/res101/voc_2007_trainval+voc_2012_trainval/default/res101_faster_rcnn_iter_110000.ckpt
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Demo for data/demo/000456.jpg
Detection took 6.020s for 300 object proposals
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Demo for data/demo/000542.jpg
Detection took 5.682s for 300 object proposals
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Demo for data/demo/001150.jpg
Detection took 5.715s for 300 object proposals
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Demo for data/demo/001763.jpg
Detection took 5.698s for 300 object proposals
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Demo for data/demo/004545.jpg
Detection took 5.708s for 300 object proposals
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn/data$

ubuntu18 faster-rcnn的更多相关文章

  1. faster r-cnn 在CPU配置下训练自己的数据

    因为没有GPU,所以在CPU下训练自己的数据,中间遇到了各种各样的坑,还好没有放弃,特以此文记录此过程. 1.在CPU下配置faster r-cnn,参考博客:http://blog.csdn.net ...

  2. r-cnn学习系列（三）：从r-cnn到faster r-cnn

    把r-cnn系列总结下,让整个流程更清晰. 整个系列是从r-cnn至spp-net到fast r-cnn再到faster r-cnn.  RCNN 输入图像,使用selective search来构造 ...

  3. 论文阅读之：Is Faster R-CNN Doing Well for Pedestrian Detection?

    Is Faster R-CNN Doing Well for Pedestrian Detection? ECCV 2016   Liliang Zhang & Kaiming He 原文链接 ...

  4. 如何才能将Faster R-CNN训练起来？

    如何才能将Faster R-CNN训练起来? 首先进入 Faster RCNN 的官网啦,即:https://github.com/rbgirshick/py-faster-rcnn#installa ...

  5. faster rcnn test demo ---repaired for video input and save the image, label, score et al. into .mat format

    faster rcnn test demo ---repaired for video input and save the image, label, score et al. into .mat ...

  6. 一个门外汉的理解 ~ Faster R-CNN

    首先放R-CNN的原理图 显然R-CNN的整过过程大致上划分为四步: 1.输入图片 2.生成候选窗口 3.对局部窗口进行特征提取(CNN) 4.分类(Classify regions) 而R-CNN的 ...

  7. object detection技术演进：RCNN、Fast RCNN、Faster RCNN

    object detection我的理解,就是在给定的图片中精确找到物体所在位置,并标注出物体的类别.object detection要解决的问题就是物体在哪里,是什么这整个流程的问题.然而,这个问题 ...

  8. [原创]Faster R-CNN论文翻译

    Faster R-CNN论文翻译   Faster R-CNN是互怼完了的好基友一起合作出来的巅峰之作,本文翻译的比例比较小,主要因为本paper是前述paper的一个简单改进,方法清晰,想法自然.什 ...

  9. 新人如何运行Faster RCNN的tensorflow代码

    0.目的 刚刚学习faster rcnn目标检测算法,在尝试跑通github上面Xinlei Chen的tensorflow版本的faster rcnn代码时候遇到很多问题(我真是太菜),代码地址如下 ...

  10. 读论文系列：Object Detection NIPS2015 Faster RCNN

    转载请注明作者:梦里茶 Faster RCNN在Fast RCNN上更进一步,将Region Proposal也用神经网络来做,如果说Fast RCNN的最大贡献是ROI pooling layer和 ...

随机推荐

  1. Spring Boot笔记

    @SpringBootApplication中有以下注解:@Target({ElementType.TYPE})@Retention(RetentionPolicy.RUNTIME)@Document ...

  2. 算法笔记--可撤销并查集 && 可持久化并查集

    可撤销并查集模板: struct UFS { stack<pair<int*, int>> stk; int fa[N], rnk[N]; inline void init(i ...

  3. python的类和对象(1)

    类和对象 现在这年头,怎么哪里都有对象?街上看了一路手拉手,回来学习还要看到"对象". 是不是学会了对象,就有对象了? 1.定义: 百度解释: 对象是对客观事物的抽象,类是对对象的 ...

  4. 用7天找到月薪9K的Linux运维工作，就靠这四点

    作者:99527 来源:http://www.yunweipai.com/archives/20865.html 毕业后做了1年IDC运维,每天看看服务器状态,检查检查硬盘.内存什么的,工作没什么技术 ...

  5. 使用Tampermonkey，实现Gitlab禁用自我Merge的功能

    Tampermonkey 简单入门资料:https://blog.csdn.net/gg_18826075157/article/details/78011162 Tampermonkey下载地址:T ...

  6. Ubuntu安装依赖文件

    我们在安装软件的时候,有时会出现由于依赖的软件没有被安装,会导致软件安装的失败,其实我们可以用命令来安装依赖的软件,这里以Ubuntu为例进行说明. 我在安装wps-office的时候,显示安装成功了 ...

  7. hbase实践（十六） BlockCache

    0 引言 和其他数据库一样,优化IO也是HBase提升性能的不二法宝,而提供缓存更是优化的重中之重. 根据二八法则,80%的业务请求都集中在20%的热点数据上,因此将这部分数据缓存起就可以极大地提升系 ...

  8. mybatis+mysql批量插入和批量更新

    一.批量插入 批量插入数据使用的sql语句是: insert into table (字段一,字段二,字段三) values(xx,xx,xx),(oo,oo,oo) mybatis中mapper.x ...

  9. 内存泄露检测之mtrace

    ————————————————版权声明:本文为CSDN博主「知耻而后勇的蜗牛」的原创文章,遵循 CC 4.0 BY-SA 版权协议,转载请附上原文出处链接及本声明.原文链接:https://blog ...

  10. python自动华 （十六）

    Python自动化 [第十六篇]:JavaScript作用域和Dom收尾 本节内容: javascript作用域 DOM收尾 JavaScript作用域 JavaScript的作用域一直以来是前端开发 ...