License: Apache License 2.0

CMake 3.45% Makefile 0.06% Python 92.32% MATLAB 3.55% C++ 0.33% Cuda 0.20% Dockerfile 0.09%

clustered-object-detection-in-aerial-image's Introduction

Clustered-Object-Detection-in-Aerial-Image

The repo is about our recent work on object detection in aerial image, the paper of the work "Clustered Object Detection in Aerial Image" (ICCV2019) and its supplementatry are available here or ResearchGate. If you think this project is useful for you, feel free to leave a star. (^^)

Installing codebase

The work is implemented based on Caffe2 , please install it according to the corresponding instruction.
Clone the repo

git clone https://github.com/fyangneil/Clustered-Object-Detection-in-Aerial-Image.git.

Please follow the instruction in Detectron to install the repo.

Generating cluster region ground truth

Here, we use VisDrone dataset as an example to demonstrate the process to generate cluster region ground truth.

run "./detectron/ops/add_cluster_annotation.m" to generate cluster ground truth and add it to original object annotation files.
run "./detectron/ops/visdrone2cocoformat.m" to convert VisDrone format annotation to COCO format.

Train CPNet and global detector

cd $ROOT_DIR/ClusDet
python ./tools/train_net.py \
    --cfg ./configs/e2e_faster_rcnn_R-50-FPN_CPNet_1x_1GPU.yaml \
    OUTPUT_DIR ./trainedmodel/faster_rcnn_R-50-FPN_CPNet_1x_1GPU

Inference CPNet to produce cluster regions on global image

python tools/test_net.py \
    --cfg ./configs/e2e_faster_rcnn_R-50-FPN_CPNet_1x_1GPU.yaml \
    TEST.WEIGHTS ./trainedmodel/faster_rcnn_R-50-FPN_CPNet_1x_1GPU/train/coco_2014_train/generalized_rcnn/model_final.pkl \
    NUM_GPUS 1

crop cluster regions by running

python detectron/ops/crop_cluster_proposals.py

Please Change the corresponding path when used on your computer.

Train detector on global images and cropped cluster chips

python ./tools/train_net.py \
  --cfg ./configs/e2e_faster_rcnn_R-50-FPN_1x_1GPU.yaml \
  OUTPUT_DIR ./trainedmodel/faster_rcnn_R-50-FPN_1x_1GPU

Inference detector on global images and cropped cluster chips

python tools/test_net.py \
    --cfg ./configs/e2e_faster_rcnn_R-50-FPN_1x_1GPU.yaml \
    TEST.WEIGHTS ./trainedmodel/faster_rcnn_R-50-FPN_1x_1GPU/train/coco_2014_train/generalized_rcnn/model_final.pkl \
    NUM_GPUS 1

Fuse the detections from global images and cluster chips

run "./detectron/ops/fuse_global_cluster_detections.m"

Note

If you want to crop the image evenly, run "./detectron/ops/evenly_image_partition.m"

If you have any questions regarding the code, please feel free to contact me [email protected]

Cite

@InProceedings{Yang_2019_ICCV, author = {Yang, Fan and Fan, Heng and Chu, Peng and Blasch, Erik and Ling, Haibin}, title = {Clustered Object Detection in Aerial Images}, booktitle = {The IEEE International Conference on Computer Vision (ICCV)}, month = {October}, year = {2019} }

clustered-object-detection-in-aerial-image's People

Contributors

Stargazers

Watchers

Forkers

avinash-chouhan ma-siddiqui bigkoki zggl qgh1223 xundaoxd haobabuhaoba youtang1993 vasevarad wilbur-lqw pohjao z1490318946 yawudede tuanmanh1410 2430397aktv wgq18 thebest-cloud kukulaiyiyi

clustered-object-detection-in-aerial-image's Issues

Code

When do you release your code？I’m looking forward to your excellent work!

Generating cluster region ground truth

I want to train model in server, so I can not run:

run "./detectron/ops/add_cluster_annotation.m" to generate cluster ground truth and add it to original object annotation files.
run "./detectron/ops/visdrone2cocoformat.m" to convert VisDrone format annotation to COCO format.

When I run this I have permission denied.

I guess this is code implemented in Matlab. May by there is some python implementation?

When will the code be released

I'm interested in your work, I want to know when will the code be released.Look forward to your reply.

Datasets

In the paper, you select a portion of the DOTA dataset for training and validation, can you share it?

AssertionError: Detectron ops lib not found; make sure that your Caffe2 version includes Detectron module

After I run the makefile, and run:
python detectron/tests/test_spatial_narrow_as_op.py
then i get this tip.
I can make it from the official Detectron but can't run the train process

Error on training

I have the error on training:
terminate called after throwing an instance of 'caffe2::EnforceNotMet'
what(): [enforce fail at conv_op_cudnn.cc:572] status == CUDNN_STATUS_SUCCESS. 8 vs 0. , Error at: /var/lib/jenkins/workspace/caffe2/operators/conv_op_cudnn.cc:572: CUDNN_STATUS_EXECUTION_FAILED Error from operator:
input: "gpu_0/data" input: "gpu_0/conv1_w" output: "gpu_0/conv1" name: "" type: "Conv" arg { name: "kernel" i: 7 } arg { name: "exhaustive_search" i: 0 } arg { name: "pad" i: 3 } arg { name: "order" s: "NCHW" } arg { name: "stride" i: 2 } device_option { device_type: 1 cuda_gpu_id: 0 } engine: "CUDNN"
*** Aborted at 1611921823 (unix time) try "date -d @1611921823" if you are using GNU date ***
PC: @ 0x7f6e2a602428 gsignal
*** SIGABRT (@0x2c3) received by PID 707 (TID 0x7f6cfdffb700) from PID 707; stack trace: ***
@ 0x7f6e2a9a8390 (unknown)
@ 0x7f6e2a602428 gsignal
@ 0x7f6e2a60402a abort
@ 0x7f6e2819c84d __gnu_cxx::__verbose_terminate_handler()
@ 0x7f6e2819a6b6 (unknown)
@ 0x7f6e2819a701 std::terminate()
@ 0x7f6e281c5d38 (unknown)
@ 0x7f6e2a99e6ba start_thread
@ 0x7f6e2a6d441d clone
@ 0x0 (unknown)
Aborted (core dumped)
Do you encounter this type error? How I can solve it?

model weights

Thank for your great work！i want to evaluate in visdrone？
Can i request trained model？
my email is ： [email protected]
thanks！

MeanShiftCluster Can't be found

I met this problem when I run the matlab file: Clustered-Object-Detection-in-Aerial-Image/detectron/ops/add_cluster_annotation.m
and I can't find the definition to this function.
Looking forward to your reply, thanks.

can you share the code about uavdt format to json or xml format transform code?

Docker build Failed

I assume that there are problems with versions. For example, last version of opencv is not supported by python2. In this docker is used the python2. Also there is the same problem with versions in Makefile. I have following error whe I tried build image:

Sending build context to Docker daemon 2.56kB
Step 1/13 : FROM caffe2/caffe2:snapshot-py2-cuda9.0-cudnn7-ubuntu16.04
---> 9ae3e8ea7508
Step 2/13 : RUN mv /usr/local/caffe2 /usr/local/caffe2_build
---> Running in 2abdac48148b
Removing intermediate container 2abdac48148b
---> 503c9b0f8aa8
Step 3/13 : ENV Caffe2_DIR /usr/local/caffe2_build
---> Running in 699c12f84ea8
Removing intermediate container 699c12f84ea8
---> f78427f19f73
Step 4/13 : ENV PYTHONPATH /usr/local/caffe2_build:${PYTHONPATH}
---> Running in 078416a82979
Removing intermediate container 078416a82979
---> b23b5a00e31d
Step 5/13 : ENV LD_LIBRARY_PATH /usr/local/caffe2_build/lib:${LD_LIBRARY_PATH}
---> Running in 9f151a82156c
Removing intermediate container 9f151a82156c
---> 93074f132a1a
Step 6/13 : RUN git clone https://github.com/facebookresearch/detectron /detectron
---> Running in dd2bde1461d5
Cloning into '/detectron'...
Removing intermediate container dd2bde1461d5
---> f5e3fb41f62f
Step 7/13 : RUN pip install -r /detectron/requirements.txt
---> Running in 4ccf10c815ae
Requirement already satisfied: numpy>=1.13 in /usr/local/lib/python2.7/dist-packages (from -r /detectron/requirements.txt (line 1))
Collecting pyyaml==3.12 (from -r /detectron/requirements.txt (line 2))
Downloading https://files.pythonhosted.org/packages/4a/85/db5a2df477072b2902b0eb892feb37d88ac635d36245a72a6a69b23b383a/PyYAML-3.12.tar.gz (253kB)
Requirement already satisfied: matplotlib in /usr/local/lib/python2.7/dist-packages (from -r /detectron/requirements.txt (line 3))
Collecting opencv-python>=3.2 (from -r /detectron/requirements.txt (line 4))
Downloading https://files.pythonhosted.org/packages/a1/d6/8422797e35f8814b1d9842530566a949d9b5850a466321a6c1d5a99055ee/opencv-python-4.3.0.38.tar.gz (88.0MB)
Complete output from command python setup.py egg_info:
Traceback (most recent call last):
File "", line 1, in
File "/tmp/pip-build-HR7dOV/opencv-python/setup.py", line 9, in
import skbuild
ImportError: No module named skbuild

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

Command "python setup.py egg_info" failed with error code 1 in /tmp/pip-build-HR7dOV/opencv-python/
You are using pip version 9.0.1, however version 21.0 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.

pre-trained model

Kindly share your trained model.

Thanks,
Ajmal

Train with random weights

How I can train without pretrained weights?

python version of global_cluster_fusion?

Hi Author,

Thank you for your high quality code. Yet I want to ask if you have or plan to upload python version of global_cluster_fusion code? I do not have access to matlab and thus cannot perform global/local fusion.

Thank you

About ScaleNet

Nice Work!

The ICCV paper says that there are 2 parts, CPNet and ScaleNet. It seems that there is only the code about CPNet currently. Is that right?

If so, would you share the code about ScaleNet in the future? Thanks!

Where is the ScaleNet

Excuse me, I'm new to Detectron. Can you tell me where is the code of ScaleNet refered in your paper? I cant find it.

which solver you use in your paper?

Hi author,

Another question. Can you tell me which solver you use in your paper? SGD or Adam?

Many thanks,

How long will the code be released?

I am very interested in your excellent research and look forward to your release of your experimental code. Look forward to your reply. Thanks.

The input size format

Hi author,

For the input size you specify in paper, what the format? [height * width] or [width * height]

Thank you,

pretrained model

Thanks for your great work！
May I request your trained model?
Here is my email：[email protected]
Thanks!

docker build failed

Env: docker hub

Log:
Cloning into '.'...
Warning: Permanently added the RSA host key for IP address '140.82.114.3' to the list of known hosts.
Reset branch 'master'
Your branch is up-to-date with 'origin/master'.
KernelVersion: 4.4.0-1060-aws
Components: [{u'Version': u'18.03.1-ee-3', u'Name': u'Engine', u'Details': {u'KernelVersion': u'4.4.0-1060-aws', u'Os': u'linux', u'BuildTime': u'2018-08-30T18:42:30.000000000+00:00', u'ApiVersion': u'1.37', u'MinAPIVersion': u'1.12', u'GitCommit': u'b9a5c95', u'Arch': u'amd64', u'Experimental': u'false', u'GoVersion': u'go1.10.2'}}]
Arch: amd64
BuildTime: 2018-08-30T18:42:30.000000000+00:00
ApiVersion: 1.37
Platform: {u'Name': u''}
Version: 18.03.1-ee-3
MinAPIVersion: 1.12
GitCommit: b9a5c95
Os: linux
GoVersion: go1.10.2
Starting build of index.docker.io/xundaoxd/clustered-object-detection-in-aerial-image:latest...
Step 1/13 : FROM caffe2/caffe2:snapshot-py2-cuda9.0-cudnn7-ubuntu16.04
---> 9ae3e8ea7508
Step 2/13 : RUN mv /usr/local/caffe2 /usr/local/caffe2_build
---> Running in 64641b34de27
Removing intermediate container 64641b34de27
---> c5cb3f9f05ae
Step 3/13 : ENV Caffe2_DIR /usr/local/caffe2_build
---> Running in c9a283e3c8b4
Removing intermediate container c9a283e3c8b4
---> 1423bf4038f6
Step 4/13 : ENV PYTHONPATH /usr/local/caffe2_build:${PYTHONPATH}
---> Running in f3d448b582b0
Removing intermediate container f3d448b582b0
---> 8d0344701eb5
Step 5/13 : ENV LD_LIBRARY_PATH /usr/local/caffe2_build/lib:${LD_LIBRARY_PATH}
---> Running in 8d8da3d44233
Removing intermediate container 8d8da3d44233
---> 9f2c6601f5c9
Step 6/13 : RUN git clone https://github.com/facebookresearch/detectron /detectron
---> Running in 277526cd31e1
�[91mCloning into '/detectron'...
�[0m
Removing intermediate container 277526cd31e1
---> 5766fc32b7c8
Step 7/13 : RUN pip install -r /detectron/requirements.txt
---> Running in 0eac00f38777
Requirement already satisfied: numpy>=1.13 in /usr/local/lib/python2.7/dist-packages (from -r /detectron/requirements.txt (line 1))
Collecting pyyaml==3.12 (from -r /detectron/requirements.txt (line 2))
Downloading https://files.pythonhosted.org/packages/4a/85/db5a2df477072b2902b0eb892feb37d88ac635d36245a72a6a69b23b383a/PyYAML-3.12.tar.gz (253kB)
Requirement already satisfied: matplotlib in /usr/local/lib/python2.7/dist-packages (from -r /detectron/requirements.txt (line 3))
Collecting opencv-python>=3.2 (from -r /detectron/requirements.txt (line 4))
Downloading https://files.pythonhosted.org/packages/f6/ca/33ef6ffe0f6f7a825febdbf655c192f30d0f59d40f23b647d08a1c2a26c5/opencv_python-4.2.0.32-cp27-cp27mu-manylinux1_x86_64.whl (28.2MB)
Requirement already satisfied: setuptools in /usr/lib/python2.7/dist-packages (from -r /detectron/requirements.txt (line 5))
Collecting Cython (from -r /detectron/requirements.txt (line 6))
Downloading https://files.pythonhosted.org/packages/90/0b/ebee92581d1ac05e7857da3c0d94d773b8fc4f421a78c299a8911dcdf734/Cython-0.29.16-cp27-cp27mu-manylinux1_x86_64.whl (2.0MB)
Collecting mock (from -r /detectron/requirements.txt (line 7))
Downloading https://files.pythonhosted.org/packages/05/d2/f94e68be6b17f46d2c353564da56e6fb89ef09faeeff3313a046cb810ca9/mock-3.0.5-py2.py3-none-any.whl
Requirement already satisfied: scipy in /usr/local/lib/python2.7/dist-packages (from -r /detectron/requirements.txt (line 8))
Requirement already satisfied: six in /usr/local/lib/python2.7/dist-packages (from -r /detectron/requirements.txt (line 9))
Requirement already satisfied: future in /usr/local/lib/python2.7/dist-packages (from -r /detectron/requirements.txt (line 10))
Requirement already satisfied: protobuf in /usr/local/lib/python2.7/dist-packages (from -r /detectron/requirements.txt (line 11))
Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python2.7/dist-packages (from matplotlib->-r /detectron/requirements.txt (line 3))
Requirement already satisfied: pytz in /usr/local/lib/python2.7/dist-packages (from matplotlib->-r /detectron/requirements.txt (line 3))
Requirement already satisfied: subprocess32 in /usr/local/lib/python2.7/dist-packages (from matplotlib->-r /detectron/requirements.txt (line 3))
Requirement already satisfied: python-dateutil>=2.0 in /usr/local/lib/python2.7/dist-packages (from matplotlib->-r /detectron/requirements.txt (line 3))
Requirement already satisfied: backports.functools-lru-cache in /usr/local/lib/python2.7/dist-packages (from matplotlib->-r /detectron/requirements.txt (line 3))
Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python2.7/dist-packages (from matplotlib->-r /detectron/requirements.txt (line 3))
Requirement already satisfied: funcsigs>=1; python_version < "3.3" in /usr/local/lib/python2.7/dist-packages (from mock->-r /detectron/requirements.txt (line 7))
Installing collected packages: pyyaml, opencv-python, Cython, mock
Running setup.py install for pyyaml: started
Running setup.py install for pyyaml: finished with status 'done'
Successfully installed Cython-0.29.16 mock-3.0.5 opencv-python-4.2.0.32 pyyaml-3.12
�[91mYou are using pip version 9.0.1, however version 20.0.2 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
�[0m
Removing intermediate container 0eac00f38777
---> 4d829d81b561
Step 8/13 : RUN git clone https://github.com/cocodataset/cocoapi.git /cocoapi
---> Running in b7c16553698d
�[91mCloning into '/cocoapi'...
�[0m
Removing intermediate container b7c16553698d
---> f4a5dc348695
Step 9/13 : WORKDIR /cocoapi/PythonAPI
Removing intermediate container e613c8205ffc
---> fda2fe6286ad
Step 10/13 : RUN make install
---> Running in 3d3c935272aa

install pycocotools to the Python site-packages

python setup.py build_ext install
running build_ext
cythoning pycocotools/_mask.pyx to pycocotools/_mask.c
�[91m/usr/local/lib/python2.7/dist-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /cocoapi/PythonAPI/pycocotools/_mask.pyx
tree = Parsing.p_module(s, pxd, full_module_name)
�[0m
building 'pycocotools._mask' extension
creating build
creating build/common
creating build/temp.linux-x86_64-2.7
creating build/temp.linux-x86_64-2.7/pycocotools
x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I../common -I/usr/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
�[91m../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; }
^
�[0m
x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I../common -I/usr/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
creating build/lib.linux-x86_64-2.7
creating build/lib.linux-x86_64-2.7/pycocotools
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/../common/maskApi.o build/temp.linux-x86_64-2.7/pycocotools/_mask.o -o build/lib.linux-x86_64-2.7/pycocotools/_mask.so
running install
running bdist_egg
running egg_info
creating pycocotools.egg-info
writing requirements to pycocotools.egg-info/requires.txt
writing pycocotools.egg-info/PKG-INFO
writing top-level names to pycocotools.egg-info/top_level.txt
writing dependency_links to pycocotools.egg-info/dependency_links.txt
writing manifest file 'pycocotools.egg-info/SOURCES.txt'
reading manifest file 'pycocotools.egg-info/SOURCES.txt'
writing manifest file 'pycocotools.egg-info/SOURCES.txt'
installing library code to build/bdist.linux-x86_64/egg
running install_lib
running build_py
copying pycocotools/coco.py -> build/lib.linux-x86_64-2.7/pycocotools
copying pycocotools/mask.py -> build/lib.linux-x86_64-2.7/pycocotools
copying pycocotools/cocoeval.py -> build/lib.linux-x86_64-2.7/pycocotools
copying pycocotools/init.py -> build/lib.linux-x86_64-2.7/pycocotools
creating build/bdist.linux-x86_64
creating build/bdist.linux-x86_64/egg
creating build/bdist.linux-x86_64/egg/pycocotools
copying build/lib.linux-x86_64-2.7/pycocotools/coco.py -> build/bdist.linux-x86_64/egg/pycocotools
copying build/lib.linux-x86_64-2.7/pycocotools/mask.py -> build/bdist.linux-x86_64/egg/pycocotools
copying build/lib.linux-x86_64-2.7/pycocotools/_mask.so -> build/bdist.linux-x86_64/egg/pycocotools
copying build/lib.linux-x86_64-2.7/pycocotools/cocoeval.py -> build/bdist.linux-x86_64/egg/pycocotools
copying build/lib.linux-x86_64-2.7/pycocotools/init.py -> build/bdist.linux-x86_64/egg/pycocotools
byte-compiling build/bdist.linux-x86_64/egg/pycocotools/coco.py to coco.pyc
byte-compiling build/bdist.linux-x86_64/egg/pycocotools/mask.py to mask.pyc
byte-compiling build/bdist.linux-x86_64/egg/pycocotools/cocoeval.py to cocoeval.pyc
byte-compiling build/bdist.linux-x86_64/egg/pycocotools/init.py to init.pyc
creating stub loader for pycocotools/_mask.so
byte-compiling build/bdist.linux-x86_64/egg/pycocotools/_mask.py to _mask.pyc
creating build/bdist.linux-x86_64/egg/EGG-INFO
copying pycocotools.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO
copying pycocotools.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO
copying pycocotools.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO
copying pycocotools.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO
copying pycocotools.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO
writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt
creating dist
creating 'dist/pycocotools-2.0-py2.7-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it
�[91mzip_safe flag not set; analyzing archive contents...
�[0m
removing 'build/bdist.linux-x86_64/egg' (and everything under it)
Processing pycocotools-2.0-py2.7-linux-x86_64.egg
Copying pycocotools-2.0-py2.7-linux-x86_64.egg to /usr/local/lib/python2.7/dist-packages
Adding pycocotools 2.0 to easy-install.pth file
Installed /usr/local/lib/python2.7/dist-packages/pycocotools-2.0-py2.7-linux-x86_64.egg
Processing dependencies for pycocotools==2.0
Searching for matplotlib==2.1.1
Best match: matplotlib 2.1.1
Adding matplotlib 2.1.1 to easy-install.pth file
Using /usr/local/lib/python2.7/dist-packages
Searching for Cython==0.29.16
Best match: Cython 0.29.16
Adding Cython 0.29.16 to easy-install.pth file
Installing cython script to /usr/local/bin
Installing cygdb script to /usr/local/bin
Installing cythonize script to /usr/local/bin
Using /usr/local/lib/python2.7/dist-packages
Searching for setuptools==20.7.0
Best match: setuptools 20.7.0
Adding setuptools 20.7.0 to easy-install.pth file
Installing easy_install script to /usr/local/bin
Using /usr/lib/python2.7/dist-packages
Searching for pyparsing==2.2.0
Best match: pyparsing 2.2.0
Adding pyparsing 2.2.0 to easy-install.pth file
Using /usr/local/lib/python2.7/dist-packages
Searching for backports.functools-lru-cache==1.4
Best match: backports.functools-lru-cache 1.4
Adding backports.functools-lru-cache 1.4 to easy-install.pth file
Using /usr/local/lib/python2.7/dist-packages
Searching for python-dateutil==2.6.1
Best match: python-dateutil 2.6.1
Adding python-dateutil 2.6.1 to easy-install.pth file
Using /usr/local/lib/python2.7/dist-packages
Searching for subprocess32==3.2.7
Best match: subprocess32 3.2.7
Adding subprocess32 3.2.7 to easy-install.pth file
Using /usr/local/lib/python2.7/dist-packages
Searching for pytz==2017.3
Best match: pytz 2017.3
Adding pytz 2017.3 to easy-install.pth file
Using /usr/local/lib/python2.7/dist-packages
Searching for six==1.11.0
Best match: six 1.11.0
Adding six 1.11.0 to easy-install.pth file
Using /usr/local/lib/python2.7/dist-packages
Searching for cycler==0.10.0
Best match: cycler 0.10.0
Adding cycler 0.10.0 to easy-install.pth file
Using /usr/local/lib/python2.7/dist-packages
Searching for numpy==1.14.0
Best match: numpy 1.14.0
Adding numpy 1.14.0 to easy-install.pth file
Using /usr/local/lib/python2.7/dist-packages
Finished processing dependencies for pycocotools==2.0
rm -rf build
Removing intermediate container 3d3c935272aa
---> cf07dcdb7e08
Step 11/13 : WORKDIR /detectron
Removing intermediate container 239b461d77f9
---> 4ec3c170f6cd
Step 12/13 : RUN make
---> Running in 16b219a67ab7
python setup.py develop --user
�[91m/usr/local/lib/python2.7/dist-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /detectron/detectron/utils/cython_bbox.pyx
tree = Parsing.p_module(s, pxd, full_module_name)
�[0m
�[91m/usr/local/lib/python2.7/dist-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /detectron/detectron/utils/cython_nms.pyx
tree = Parsing.p_module(s, pxd, full_module_name)
�[0m
Compiling detectron/utils/cython_bbox.pyx because it changed.
Compiling detectron/utils/cython_nms.pyx because it changed.
[1/2] Cythonizing detectron/utils/cython_bbox.pyx
[2/2] Cythonizing detectron/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 'detectron.utils.cython_bbox' extension
creating build
creating build/temp.linux-x86_64-2.7
creating build/temp.linux-x86_64-2.7/detectron
creating build/temp.linux-x86_64-2.7/detectron/utils
x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c detectron/utils/cython_bbox.c -o build/temp.linux-x86_64-2.7/detectron/utils/cython_bbox.o -Wno-cpp
creating build/lib.linux-x86_64-2.7
creating build/lib.linux-x86_64-2.7/detectron
creating build/lib.linux-x86_64-2.7/detectron/utils
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/detectron/utils/cython_bbox.o -o build/lib.linux-x86_64-2.7/detectron/utils/cython_bbox.so
building 'detectron.utils.cython_nms' extension
x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c detectron/utils/cython_nms.c -o build/temp.linux-x86_64-2.7/detectron/utils/cython_nms.o -Wno-cpp
x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/detectron/utils/cython_nms.o -o build/lib.linux-x86_64-2.7/detectron/utils/cython_nms.so
copying build/lib.linux-x86_64-2.7/detectron/utils/cython_bbox.so -> detectron/utils
copying build/lib.linux-x86_64-2.7/detectron/utils/cython_nms.so -> detectron/utils
Creating /root/.local/lib/python2.7/site-packages/Detectron.egg-link (link to .)
Adding Detectron 0.0.0 to easy-install.pth file
Installed /detectron
Processing dependencies for Detectron==0.0.0
Finished processing dependencies for Detectron==0.0.0
Removing intermediate container 16b219a67ab7
---> ec023f4293e6
Step 13/13 : RUN make ops
---> Running in 86bc0e80de09
mkdir -p build && cd build && cmake .. && make -j1
-- The C compiler identification is GNU 5.4.0
-- The CXX compiler identification is GNU 5.4.0
-- Check for working C compiler: /usr/bin/cc
-- Check for working C compiler: /usr/bin/cc -- works
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Detecting C compile features
-- Detecting C compile features - done
-- Check for working CXX compiler: /usr/bin/c++
-- Check for working CXX compiler: /usr/bin/c++ -- works
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Detecting CXX compile features
-- Detecting CXX compile features - done
�[91mCMake Warning at /usr/local/caffe2_build/share/cmake/Caffe2/public/gflags.cmake:2 (find_package):
By not providing "Findgflags.cmake" in CMAKE_MODULE_PATH this project has
asked CMake to find a package configuration file provided by "gflags", but
CMake did not find one.
Could not find a package configuration file provided by "gflags" with any
of the following names:
gflagsConfig.cmake
gflags-config.cmake
Add the installation prefix of "gflags" to CMAKE_PREFIX_PATH or set
"gflags_DIR" to a directory containing one of the above files. If "gflags"
provides a separate development package or SDK, be sure it has been
installed.
Call Stack (most recent call first):
/usr/local/caffe2_build/share/cmake/Caffe2/Caffe2Config.cmake:16 (include)
CMakeLists.txt:8 (find_package)
�[0m
-- Cannot find gflags with config files. Using legacy find.
-- Found gflags: /usr/include
-- Found gflags (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libgflags.so)
�[91mCMake Warning at /usr/local/caffe2_build/share/cmake/Caffe2/public/glog.cmake:2 (find_package):
By not providing "Findglog.cmake" in CMAKE_MODULE_PATH this project has
asked CMake to find a package configuration file provided by "glog", but
CMake did not find one.
Could not find a package configuration file provided by "glog" with any of
the following names:
glogConfig.cmake
glog-config.cmake
Add the installation prefix of "glog" to CMAKE_PREFIX_PATH or set
"glog_DIR" to a directory containing one of the above files. If "glog"
provides a separate development package or SDK, be sure it has been
installed.
Call Stack (most recent call first):
/usr/local/caffe2_build/share/cmake/Caffe2/Caffe2Config.cmake:30 (include)
CMakeLists.txt:8 (find_package)
�[0m
-- Cannot find glog. Using legacy find.
-- Found glog: /usr/include
�[91mCMake Warning at CMakeLists.txt:13 (message):
You are using an older version of Caffe2 (version 0.8.1). Please consider
moving to a newer version.
�[0m
-- Looking for pthread.h
-- Looking for pthread.h - found
-- Looking for pthread_create
-- Looking for pthread_create - not found
-- Looking for pthread_create in pthreads
-- Looking for pthread_create in pthreads - not found
-- Looking for pthread_create in pthread
-- Looking for pthread_create in pthread - found
-- Found Threads: TRUE
-- CUDA detected: 9.0
-- Added CUDA NVCC flags for: sm_30 sm_35 sm_50 sm_52 sm_60 sm_61 sm_70
-- Found libcuda: /usr/local/cuda/lib64/stubs/libcuda.so
-- Found libnvrtc: /usr/local/cuda/lib64/libnvrtc.so
-- Found CUDNN: /usr/include
-- Found cuDNN: v7.0.5 (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libcudnn.so)
-- Summary:
-- CMake version : 3.5.1
-- CMake command : /usr/bin/cmake
-- System name : Linux
-- C++ compiler : /usr/bin/c++
-- C++ compiler version : 5.4.0
-- CXX flags : -std=c++14 -O2 -fPIC -Wno-narrowing
-- Caffe2 version : 0.8.1
-- Caffe2 include path : /usr/local/caffe2_build/include
-- Have CUDA : TRUE
-- CUDA version : 9.0
-- CuDNN version : 7.0.5
-- Configuring done
-- Generating done
-- Build files have been written to: /detectron/build
make[1]: Entering directory '/detectron/build'
make[2]: Entering directory '/detectron/build'
make[3]: Entering directory '/detectron/build'
Scanning dependencies of target caffe2_detectron_custom_ops
make[3]: Leaving directory '/detectron/build'
make[3]: Entering directory '/detectron/build'
[ 20%] Building CXX object CMakeFiles/caffe2_detectron_custom_ops.dir/detectron/ops/zero_even_op.cc.o
�[91mIn file included from /usr/local/caffe2_build/include/caffe2/core/allocator.h:22:0,
from /usr/local/caffe2_build/include/caffe2/core/context.h:25,
from /detectron/detectron/ops/zero_even_op.h:20,
from /detectron/detectron/ops/zero_even_op.cc:17:
/detectron/detectron/ops/zero_even_op.cc: In member function 'bool caffe2::ZeroEvenOp<T, Context>::RunOnDevice() [with T = float; Context = caffe2::CPUContext]':
/detectron/detectron/ops/zero_even_op.cc:25:23: error: no matching function for call to 'caffe2::Tensorcaffe2::CPUContext::dim() const'
CAFFE_ENFORCE(X.dim() == 1);
^
In file included from /usr/local/caffe2_build/include/caffe2/core/net.h:34:0,
from /usr/local/caffe2_build/include/caffe2/core/operator.h:29,
from /detectron/detectron/ops/zero_even_op.h:21,
from /detectron/detectron/ops/zero_even_op.cc:17:
/usr/local/caffe2_build/include/caffe2/core/tensor.h:687:17: note: candidate: caffe2::TIndex caffe2::Tensor::dim(int) const [with Context = caffe2::CPUContext; caffe2::TIndex = long int]
inline TIndex dim(const int i) const {
^
/usr/local/caffe2_build/include/caffe2/core/tensor.h:687:17: note: candidate expects 1 argument, 0 provided
/detectron/detectron/ops/zero_even_op.cc:33:27: error: 'class caffe2::Tensorcaffe2::CPUContext' has no member named 'numel'
for (auto i = 0; i < Y->numel(); i += 2) {
^
�[0m
CMakeFiles/caffe2_detectron_custom_ops.dir/build.make:62: recipe for target 'CMakeFiles/caffe2_detectron_custom_ops.dir/detectron/ops/zero_even_op.cc.o' failed
make[3]: Leaving directory '/detectron/build'
CMakeFiles/Makefile2:67: recipe for target 'CMakeFiles/caffe2_detectron_custom_ops.dir/all' failed
make[2]: Leaving directory '/detectron/build'
Makefile:127: recipe for target 'all' failed
make[1]: Leaving directory '/detectron/build'
Makefile:13: recipe for target 'ops' failed
�[91mmake[3]: *** [CMakeFiles/caffe2_detectron_custom_ops.dir/detectron/ops/zero_even_op.cc.o] Error 1
make[2]: *** [CMakeFiles/caffe2_detectron_custom_ops.dir/all] Error 2
make[1]: *** [all] Error 2
make: *** [ops] Error 2
�[0m
Removing intermediate container 86bc0e80de09
The command '/bin/sh -c make ops' returned a non-zero code: 2

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fyangneil / clustered-object-detection-in-aerial-image Goto Github PK

clustered-object-detection-in-aerial-image's Introduction

Clustered-Object-Detection-in-Aerial-Image

Installing codebase

Generating cluster region ground truth

Train CPNet and global detector

Inference CPNet to produce cluster regions on global image

Train detector on global images and cropped cluster chips

Inference detector on global images and cropped cluster chips

Fuse the detections from global images and cluster chips

Note

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clustered-object-detection-in-aerial-image's People

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install pycocotools to the Python site-packages

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