alicevision · simogasp · Nov 8, 2025 · Nov 8, 2025 · Nov 8, 2025 · Nov 8, 2025
diff --git a/.travis.yml b/.travis.yml
diff --git a/CHANGES.md b/CHANGES.md
@@ -41,95 +41,90 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Using the new TBB oneAPI interface, this breaks compatibility with previous versions of TBB [PR](https://github.com/alicevision/CCTag/pull/200)
 
 ### Fixed
+
 - fix gcc11 ordered pointer comparison [PR](https://github.com/alicevision/CCTag/pull/191)
 - fix handling of `BUILD_SHARED_LIBS` option [PR](https://github.com/alicevision/CCTag/pull/201)
 
 ## [1.0.2] - 2022-07-14
 
 ### Added
+
 - Added documentation for conan [PR](https://github.com/alicevision/CCTag/pull/183)
 
 ### Fixed
+
 - Fixed potential out of bound in debug mode [PR](https://github.com/alicevision/CCTag/pull/180)
 
 ## [1.0.1] - 2021-10-08
 
 ### Changed
 
-- Renamed the marker files to be 0-based [PR](https://github.com/alicevision/CCTag/pull/165) 
+- Renamed the marker files to be 0-based [PR](https://github.com/alicevision/CCTag/pull/165)
 
 ### Fixed
 
 - Fixed missing math module for boost [PR](https://github.com/alicevision/CCTag/pull/168)
 - Fixed compilation errors for newer version of boost on windows [PR](https://github.com/alicevision/CCTag/pull/166)
 - Removed old legacy defines for cuda and boost no more needed since the switch to c++14 [PR](https://github.com/alicevision/CCTag/pull/174)
 
-
 ## [1.0.0] - 2021-06-24
 
- - Support for OpenCV 3.4.9 [PR](https://github.com/alicevision/CCTag/pull/121)
- - Switch to C++14 standard [PR](https://github.com/alicevision/CCTag/pull/155)
-
+- Support for OpenCV 3.4.9 [PR](https://github.com/alicevision/CCTag/pull/121)
+- Switch to C++14 standard [PR](https://github.com/alicevision/CCTag/pull/155)
 
 ## 2019
 
- - Remove Cuda Cub dependency [PR](https://github.com/alicevision/CCTag/pull/110)
- - Bug fix: out of range image access during identification [PR](https://github.com/alicevision/CCTag/pull/117)
- - Bug fix on big markers (multi-resolution detection) [PR](https://github.com/alicevision/CCTag/pull/116)
- - Bug fix: avoid access to empty vector during vote [PR](https://github.com/alicevision/CCTag/pull/115)
- - CMake: export all symbols when building shared libs on Windows [PR](https://github.com/alicevision/CCTag/pull/112)
- - CMake: Improve management of CUDA Compute Capabilities flags [PR](https://github.com/alicevision/CCTag/pull/109)
- - Compatibility with Opencv 4 [PR](https://github.com/alicevision/CCTag/pull/104)
-
+- Remove Cuda Cub dependency [PR](https://github.com/alicevision/CCTag/pull/110)
+- Bug fix: out of range image access during identification [PR](https://github.com/alicevision/CCTag/pull/117)
+- Bug fix on big markers (multi-resolution detection) [PR](https://github.com/alicevision/CCTag/pull/116)
+- Bug fix: avoid access to empty vector during vote [PR](https://github.com/alicevision/CCTag/pull/115)
+- CMake: export all symbols when building shared libs on Windows [PR](https://github.com/alicevision/CCTag/pull/112)
+- CMake: Improve management of CUDA Compute Capabilities flags [PR](https://github.com/alicevision/CCTag/pull/109)
+- Compatibility with Opencv 4 [PR](https://github.com/alicevision/CCTag/pull/104)
 
 ## 2018
 
- - First Windows version (CPU only) [PR](https://github.com/alicevision/CCTag/pull/78)
- - Docker: add support for docker [PR](https://github.com/alicevision/CCTag/pull/84)
- - Improvements for ellipse fitting
+- First Windows version (CPU only) [PR](https://github.com/alicevision/CCTag/pull/78)
+- Docker: add support for docker [PR](https://github.com/alicevision/CCTag/pull/84)
+- Improvements for ellipse fitting
 [PR](https://github.com/alicevision/CCTag/pull/66)
- - Modernizing code to C++11
+- Modernizing code to C++11
 [PR](https://github.com/alicevision/CCTag/pull/64)
 
-
 ## 2017
 
- - Use Thrust for cuda >= 8
+- Use Thrust for cuda >= 8
 [PR](https://github.com/alicevision/CCTag/pull/62)
- - Minor code cleaning
+- Minor code cleaning
 [PR](https://github.com/alicevision/CCTag/pull/61)
- - Add limit to edgepoint d-to-h transfer
+- Add limit to edgepoint d-to-h transfer
 [PR](https://github.com/alicevision/CCTag/pull/53)
- - Bug fix in NearbyPoint
+- Bug fix in NearbyPoint
 [PR](https://github.com/alicevision/CCTag/pull/46)
 
-
 ## 2016
 
- - Switch to modern version of CMake [PR](https://github.com/alicevision/CCTag/pull/40)
- - CVPR Publication https://hal.archives-ouvertes.fr/hal-01420665/document
- - Application: Show detected markers in video and live mode
+- Switch to modern version of CMake [PR](https://github.com/alicevision/CCTag/pull/40)
+- CVPR Publication <https://hal.archives-ouvertes.fr/hal-01420665/document>
+- Application: Show detected markers in video and live mode
 [PR](https://github.com/alicevision/CCTag/pull/33)
- - Allow to extract CCTags from multiple images in parallel with multiple cuda streams
+- Allow to extract CCTags from multiple images in parallel with multiple cuda streams
 [PR](https://github.com/alicevision/CCTag/pull/32)
 [PR](https://github.com/alicevision/CCTag/pull/31)
- - Continuous integration on Travis [PR](https://github.com/alicevision/CCTag/pull/27)
- - Remove Blas/Lapack/Optpp dependencies
- - Remove Ceres dependency
- - GPU implementation
-
+- Continuous integration on Travis [PR](https://github.com/alicevision/CCTag/pull/27)
+- Remove Blas/Lapack/Optpp dependencies
+- Remove Ceres dependency
+- GPU implementation
 
 ## 2015
 
- - First open-source release
- - CPU Optimizations
- - Expose critical parameters
- - CMake build system
-
+- First open-source release
+- CPU Optimizations
+- Expose critical parameters
+- CMake build system
 
 ## 2014
 
- - Thesis Defence by Lilian Calvet under the direction of Vincent Charvillat and Pierre Gurdjos
-   "Three-dimensional reconstruction methods integrating cyclic points: application to camera tracking" (http://www.theses.fr/2014INPT0002)
- - CCTag detection on CPU
-
+- Thesis Defence by Lilian Calvet under the direction of Vincent Charvillat and Pierre Gurdjos
+   "Three-dimensional reconstruction methods integrating cyclic points: application to camera tracking" (<http://www.theses.fr/2014INPT0002>)
+- CCTag detection on CPU
diff --git a/CMakeLists.txt b/CMakeLists.txt
@@ -111,7 +111,9 @@ if(APPLE)
 endif(APPLE)
 
 # FIND BOOST
-set(BOOST_REQUIRED_COMPONENTS "atomic;chrono;date_time;filesystem;program_options;serialization;system;thread;timer;math_c99")
+# list only components that are not header-only, those have a target associated
+# the header-only components must be added with target_include_directories( ... ${Boost_INCLUDE_DIRS} )
+set(BOOST_REQUIRED_COMPONENTS "date_time;filesystem;program_options;serialization;timer")
 if(WIN32)
   set(BOOST_REQUIRED_COMPONENTS "${BOOST_REQUIRED_COMPONENTS};stacktrace_windbg")
 else()

diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md
@@ -55,7 +55,7 @@ further defined and clarified by project maintainers.
 ## Enforcement
 
 Instances of abusive, harassing, or otherwise unacceptable behavior may be
-reported by contacting the project team privately at alicevision-team@googlegroups.com. All
+reported by contacting the project team privately at <alicevision-team@googlegroups.com>. All
 complaints will be reviewed and investigated and will result in a response that
 is deemed necessary and appropriate to the circumstances. The project team is
 obligated to maintain confidentiality with regard to the reporter of an incident.
@@ -68,7 +68,6 @@ members of the project's leadership.
 ## Attribution
 
 This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4,
-available at https://www.contributor-covenant.org/version/1/4/code-of-conduct/
+available at <https://www.contributor-covenant.org/version/1/4/code-of-conduct/>
 
 [homepage]: https://www.contributor-covenant.org
-
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
@@ -1,19 +1,16 @@
-Contributing to CCTag
-===========================
+# Contributing to CCTag
 
 CCTag relies on a friendly and community-driven effort to create an open source photogrammetry solution.
 In order to foster a friendly atmosphere where technical collaboration can flourish,
 we recommend you to read the [code of conduct](CODE_OF_CONDUCT.md).
 
-
-Contributing Workflow
----------------------
+## Contributing Workflow
 
 The contributing workflow relies on [Github Pull Requests](https://help.github.com/articles/using-pull-requests/).
 
-1. If it is an important change, we recommend you to discuss it on the mailing-list before starting implementation. 
+1. If it is an important change, we recommend you to discuss it on the mailing-list before starting implementation.
   This ensure that the development is aligned with other
-developpements already started and will be efficiently integrated.
+development already started and will be efficiently integrated.
 
 2. Create the corresponding issues.
 
@@ -32,4 +29,3 @@ congratulate the author, etc. using the github comments.
 will merge your fixes into the "develop" branch.
 
 8. If not already the case, your name will be added to the [contributors list](CONTRIBUTORS.md).
-
diff --git a/INSTALL.md b/INSTALL.md
@@ -5,25 +5,26 @@
 For a detailed guide on building the library check the [online documentation](https://cctag.readthedocs.io/).
 
 Required tools:
+
 * CMake >= 3.14 to build the code
 * Git
 * C/C++ compiler with C++14 support
-    * see here: https://en.cppreference.com/w/cpp/compiler_support 
-    * TLDR gcc >= 5, clang >= 3.4, msvc >= 2017
+  * see here: <https://en.cppreference.com/w/cpp/compiler_support>
+  * TLDR gcc >= 5, clang >= 3.4, msvc >= 2017
 
 Optional tool:
-* CUDA >= 9.0 
+
+* CUDA >= 9.0
 Note: On Windows, there are compatibility issues to build the GPU part due to conflicts between msvc/nvcc/thrust/eigen/boost.
 
-###  Dependencies
+### Dependencies
 
 Most of the dependencies can be installed from the common repositories (apt, yum etc):
 
-- Eigen3 (libeigen3-dev) >= 3.3.4  (NOTE: in order to have Cuda support on Windows, at least version 3.3.9 is required)
-- Boost >= 1.66 ([accumulators, atomic, chrono, core, date-time, exception, filesystem, math, program-options, ptr-container, system, serialization, stacktrace, timer, thread]-dev)
-- OpenCV >= 3.1
-- TBB >= 2021.5.0
-
+* Eigen3 (libeigen3-dev) >= 3.3.4  (NOTE: in order to have Cuda support on Windows, at least version 3.3.9 is required)
+* Boost >= 1.66 ([accumulators, core, date-time, exception, filesystem, math, program-options, ptr-container, system, serialization, stacktrace, timer, thread]-dev)
+* OpenCV >= 3.1
+* TBB >= 2021.5.0
 
 ----------
 
@@ -53,18 +54,19 @@ cmake .. -DCCTag_DIR=$CCTAG_INSTALL/lib/cmake/CCTag/
 
 ## Docker Image
 
-A docker image can be built using the Ubuntu based [Dockerfile](Dockerfile),which is based on nvidia/cuda image (https://hub.docker.com/r/nvidia/cuda/)
+A docker image can be built using the Ubuntu based [Dockerfile](Dockerfile),which is based on nvidia/cuda image (<https://hub.docker.com/r/nvidia/cuda/>)
 
-A parameter `CUDA_TAG` can be passed when building the image to select the ubuntu and cuda version. 
+A parameter `CUDA_TAG` can be passed when building the image to select the ubuntu and cuda version.
 For example to create a ubuntu 16.04 with cuda 8.0 for development, use
-```
+
+```bash
 docker build --build-arg CUDA_TAG=8.0-devel --tag cctag .
 ```
 
 The complete list of available tags can be found on the nvidia [dockerhub page](https://hub.docker.com/r/nvidia/cuda/)
-In order to run the image nvidia docker is needed: see the installation instruction here https://github.com/nvidia/nvidia-docker/wiki/Installation-(version-2.0)
+In order to run the image nvidia docker is needed: see the installation instruction here <https://github.com/nvidia/nvidia-docker/wiki/Installation-(version-2.0)>
 Once installed, the docker can be run, e.g., in interactive mode with
 
-```
+```bash
 docker run -it --runtime=nvidia cctag
 ```