CCTag library
===================
[](https://bestpractices.coreinfrastructure.org/projects/3989) [](https://www.codacy.com/manual/alicevision/CCTag?utm_source=github.com&utm_medium=referral&utm_content=alicevision/CCTag&utm_campaign=Badge_Grade)
Detection of CCTag markers made up of concentric circles. Implementations in both CPU and GPU.
The library is the implementation of the paper:
* Lilian Calvet, Pierre Gurdjos, Carsten Griwodz, Simone Gasparini. **Detection and Accurate Localization of Circular Fiducials Under Highly Challenging Conditions.** In: *Proceedings of the International Conference on Computer Vision and Pattern Recognition (CVPR 2016)*, Las Vegas, E.-U., IEEE Computer Society, p. 562-570, June 2016. https://doi.org/10.1109/CVPR.2016.67
If you want to cite this work in your publication, please use the following
```latex
@inproceedings{calvet2016Detection,
TITLE = {{Detection and Accurate Localization of Circular Fiducials under Highly Challenging Conditions}},
AUTHOR = {Calvet, Lilian and Gurdjos, Pierre and Griwodz, Carsten and Gasparini, Simone},
BOOKTITLE = {{Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}},
ADDRESS = {Las Vegas, United States},
PAGES = {562 - 570},
YEAR = {2016},
MONTH = Jun,
DOI = {10.1109/CVPR.2016.67}
}
```
Marker library
---------
Markers to print are located [here](markersToPrint).
**WARNING**
Please respect the provided margins. The reported detection rate and localization accuracy are valid with completely planar support: be careful not to use bent support (e.g. corrugated sheet of paper).
The four rings CCTags will be available soon.
CCTags requires either CUDA 8.0 and newer or CUDA 7.0 (CUDA 7.5 builds are known to have runtime errors on some devices including the GTX980Ti). The device must have at least compute capability 3.5.
Check your graphic card CUDA compatibility [here](https://github.com/tpruvot/ccminer/wiki/Compatibility).
Building
--------
See [INSTALL](INSTALL.md) text file.
Continuous integration:
| | windows | linux |
|--------- |:-------: |:-----: |
| master | [](https://ci.appveyor.com/project/AliceVision/cctag) |  |
| develop | [](https://ci.appveyor.com/project/AliceVision/cctag/branch/develop) |  |
Running
-------
Once compiled, you might want to run the CCTag detection on a sample image:
```bash
$ build/src/detection -n 3 -i sample/01.png
```
For the library interface, see [ICCTag.hpp](src/cctag/ICCTag.hpp).
Documentation
-------------
The documentation can be found on the [Read the Docs page](https://cctag.readthedocs.io/en/doc-first/index.html)
License
-------
CCTag is licensed under [MPL v2 license](COPYING.md).
Authors
-------
Lilian Calvet (CPU, [email protected])
Carsten Griwodz (GPU, [email protected])
Stian Vrba (CPU, [email protected])
Cyril Pichard ([email protected])
Simone Gasparini ([email protected])
Acknowledgments
---------
This has been developed in the context of the European project [POPART](https://alicevision.org/popart/) founded by European Union’s Horizon 2020 research and innovation programme under grant agreement No 644874.
Additional contributions for performance optimizations have been funded by the Norwegian RCN FORNY2020 project FLEXCAM.
檢測由同心圓組c++源代碼 該實現在CPU和GPU（支援Cuda的卡）中完成
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檢測由同心圓組c++源代碼 該實現在CPU和GPU（支援Cuda的卡）中完成 （248个子文件） 
make.bat 799B biblio.bib 1KB .clang-format 2KB FindTBB.cmake 9KB FindTBB.cmake 9KB BoostTestHelper.cmake 3KB cctagHelper.cmake 928B FindSphinx.cmake 402B CheckNvccCompilerFlag.cmake 371B configure 490B Identification.cpp 49KB Detection.cpp 32KB Vote.cpp 29KB main.cpp 19KB EllipseGrowing.cpp 14KB cvRecode.cpp 14KB CCTagMarkersBank.cpp 14KB Multiresolution.cpp 13KB debug_macros.cpp 12KB Fitting.cpp 11KB VisualDebug.cpp 10KB Ellipse.cpp 9KB fitEllipse.cpp 9KB EllipseFromPoints.cpp 8KB Regression.cpp 8KB CCTag.cpp 5KB DataSerialization.cpp 5KB thinning.cpp 5KB FileDebug.cpp 5KB Bresenham.cpp 5KB Distance.cpp 5KB main.cpp 5KB ellipse.cpp 5KB SubPixEdgeOptimizer.cpp 4KB CmdLine.cpp 4KB device_prop.cpp 4KB TestLog.cpp 4KB Params.cpp 4KB ImagePyramid.cpp 3KB Level.cpp 3KB Types.cpp 3KB ICCTag.cpp 3KB main.cpp 3KB CCTagFlowComponent.cpp 3KB LogTime.cpp 1KB Canny.cpp 827B Statistic.cpp 649B Circle.cpp 631B Operation.cpp 621B 2DTransform.cpp 516B EdgePoint.cpp 509B Talk.cpp 386B Candidate.cpp 317B tag_identify.cu 26KB frame_06_graddesc.cu 14KB geom_ellipse.cu 14KB tag.cu 13KB frame_07a_vote_line.cu 13KB frame_04_hyst.cu 12KB debug_image.cu 11KB framemeta.cu 11KB frame.cu 9KB frame_07c_eval.cu 8KB frame_05_thin.cu 8KB frame_02_gaussian.cu 8KB frame_alloc.cu 8KB frame_export.cu 7KB frame_debug.cu 7KB recursive_sweep.cu 6KB frame_03_magmap.cu 5KB pinned_counters.cu 4KB geom_matrix.cu 4KB frame_07_vote.cu 4KB frame_07d_vote_if.cu 3KB tag_threads.cu 2KB frameparam.cu 2KB keep_time.cu 2KB debug_is_on_edge.cu 2KB frame_07b_vote_sort_uniq_thrust.cu 2KB frame_01_tex.cu 2KB triple_point.cu 1KB frame_07e_download.cu 938B ptrstep.cu 866B cmp_list.cu 548B assist.cu 443B Dockerfile 796B Dockerfile_deps 4KB Doxyfile 8KB .gitignore 353B edge_list.h 9KB frame.h 9KB debug_image.h 6KB tag.h 6KB geom_matrix.h 5KB assist.h 5KB geom_ellipse.h 3KB framemeta.h 3KB TestLog.h 3KB onoff.h 3KB Regression.h 3KB共 248 条
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