- 08 Mar, 2017 2 commits
-
-
Patrik Huber authored
-
Patrik Huber authored
-
- 07 Mar, 2017 1 commit
-
-
Patrik Huber authored
When switching the shape and blendshape fitting to use the new Eigen models, these matrices weren't correctly mapped to cv::Mat. Eigen uses col-major storage order by default, and OpenCV row-major - so we now convert to a row-major Eigen matrix before mapping to a cv::Mat. This caused the fitting to produce faulty/meaningless results since the switch to Eigen. The output of the linear shape and blendshape fitting functions are now again identical before and after the switch to Eigen. (after 50 iterations, the result is marginally different, most likely because of small rounding differences.)
-
- 06 Mar, 2017 12 commits
-
-
Patrik Huber authored
* ImageCost throws on instantiation if the given model doesn't contain a colour model * Changed the default parameter of fit-model-ceres to sfm_shape_3448, which will need to be obtained * Additionally the app checks explicitly for has_color_model() and will exit if it hasn't got one.
-
Patrik Huber authored
Otherwise an Eigen expression (CWise...something) will be returned and subsequent code will fail.
-
Patrik Huber authored
This fixes a crash - it should obviously return a matrix, not a vector.
-
Patrik Huber authored
-
Patrik Huber authored
-
Patrik Huber authored
Install if the Eigen from the submodule (3rdparty directory) is used. This is the case, except when a user specifies their own EIGEN3_INCLUDE_DIR - in that case, we don't want to install the headers.
-
Patrik Huber authored
-
Patrik Huber authored
Travis only has Eigen-3.2.0, while the new pybind11 Eigen bindings require 3.2.7 as minimum.
-
Patrik Huber authored
The submodule is used by default, and EIGEN3_INCLUDE_DIR should only be set if a user has an explicit need for it.
-
Patrik Huber authored
As we now include Eigen as submodule, we're using the one (identical) under 3rdparty/eigen/cmake.
-
Patrik Huber authored
-
Patrik Huber authored
The new pybind11 bindings require at least Eigen-3.2.7. Travis and Ubuntu 14.04 only include Eigen-3.2.2, so let's include Eigen as a submodule. Unfortunately Eigen uses Mercurial and no official git mirror exists, so I've cloned Eigen's mercurial repo and added it at patrikhuber/eigen.git at version tag 3.3.3.
-
- 05 Mar, 2017 14 commits
-
-
Patrik Huber authored
-
Patrik Huber authored
This includes their new Eigen3 bindings
-
Patrik Huber authored
This seems to be unused (uninstantiated) code, and only clang complains, but not MSVC & gcc.
-
Patrik Huber authored
-
Patrik Huber authored
-
Patrik Huber authored
This removes the last usage of OpenCV in PcaModel.
-
Patrik Huber authored
-
Patrik Huber authored
It's no longer necessary, since the RNG is no longer part of PcaModel.
-
Patrik Huber authored
-
Patrik Huber authored
-
Patrik Huber authored
This makes the intent clearer - it does not return the i-th basis vector (which one could easily assume, if not reading the function parameter name or documentation). Also added a note expressing this. It also leaves room for a future function that actually does return the i-th basis.
-
Patrik Huber authored
And compute the rescaled basis when loading a model.
-
Patrik Huber authored
Adjusted all files that use it (hopefully). This is a breaking change: If you're currently using the PcaModel constructor and giving it a PCA basis matrix, your code will (probably silently) break: The function now expects an orthonormal basis matrix, whereas before, it expected a rescaled basis matrix. However it makes more sense for the function to take an orthonormal basis matrix.
-
Patrik Huber authored
-
- 04 Mar, 2017 4 commits
-
-
Patrik Huber authored
-
Patrik Huber authored
This should clear up confusion and make the descriptions good and unambiguous. - orthonormal = the old "unnormalised" - rescaled = the old "normalised". Also changed PcaModel's getter for the basis accordingly, and updated the documentation.
-
Patrik Huber authored
Both the BFM and SFM store the orthonormal basis in their files. The orthonormal basis is what eos calls "unnormalised" (because it's not rescaled by the eigenvalues). We will get rid of this ambiguous terminology in eos now and use the unambiguous terms: - Orthonormal basis (previously "unnormalised") - Rescaled basis (previously "normalised).
-
Patrik Huber authored
The submodule is the current master, which is exactly v1.2.2. The removed local copy is v1.1.1. Files saved with the old version seem to be readable with the new version. (apart from the fact that we've now changed to Eigen, which makes it incompatible to the old models.)
-
- 03 Mar, 2017 6 commits
-
-
Patrik Huber authored
-
-
Patrik Huber authored
-
Patrik Huber authored
'did' was only really an external thing, so naming it "SFM" is more clear! Renamed all references to "ibug2did" to "ibug_to_sfm".
-
Patrik Huber authored
With this, 'python setup.py sdist' creates a valid source .tar.gz that can be uploaded to pypi and then built on other machines with 'pip install eos-py'
-
Patrik Huber authored
-
- 02 Mar, 2017 1 commit
-
-
Patrik Huber authored
* Added BOOST_ROOT for Windows, since I've been using it for a while, and I think it works. * Added EIGEN3_INCLUDE_DIR * Changed all slashes to forward slashes
-