I was using the normalized features za as both matrices, instead of za and zb.
I noticed this because the empirical cross-correlation matrix was symmetrical,
which is not supposed to. It does not affect anything, as it was computed
properly in the loss.
* Add multiclass SVM trainer to svm/auto.h
* Use a matrix<double> and add an overload for matrix<float>
* Replace typedef with using and use normalizer from normalized_function
* Remove extra ;
* use better names for decision function variables
* fix comments format and grammar
* remove unneeded includes
* Update dlib/svm/auto_abstract.h
* Update the assert to use 3 samples (as there is 3 fold CV)
* Remove unneeded captures in lambda
* Update dlib/svm/auto_abstract.h
* Update dlib/svm/auto_abstract.h
Co-authored-by: Davis E. King <davis685@gmail.com>
* Use only a fraction of labels for the multiclass SVM in SSL example
This change makes the self-supervised example more close to reality:
usually, only a fraction of the dataset is labeled, but we can harness
the whole dataset by using a self-supervised method and then train the
classifier using the fraction of labeled data.
Using 10% of the labels results in a test accuracy of 87%, compared to
the 89% we got when training the multiclass SVM with all labels.
I just added an option to change the fraction of labeled data, so that
users can experiment with it.
* Update examples/dnn_self_supervised_learning_ex.cpp
Co-authored-by: Davis E. King <davis685@gmail.com>
* Use add_compile_definitions, enable -Wpedantic and use colors
* Use lround in rectangle and drectangle
* Use round in bigint
* Use round in canvas_drawing
* Modernize image_transforms
* Modernize image_pyramid
* Fix error in image_pyramid
* Modernize matrix
* Fix error in image_pyramid again
* Modernize fhog test
* Modernize image_keypoint/surf
* Remove extra ;
* Fix Barlow Twins loss gradient
* Update reference test accuracy after fix
* Round the empirical cross-correlation matrix
Just a tiny modification that allows the values to actually reach 255 (perfect white).
* Replace fc classifier with svm_multiclass_linear_trainer
* Mention about find_max_global()
Co-authored-by: Davis E. King <davis@dlib.net>
* Use double instead of float for extracted features
Co-authored-by: Davis E. King <davis@dlib.net>
* fix compilation with double features
* Revert "fix compilation with double features"
This reverts commit 76ebab4b91.
* Revert "Use double instead of float for extracted features"
This reverts commit 9a50809ebf.
* Find best C using global optimization
Co-authored-by: Davis E. King <davis@dlib.net>
* wip: loss goes down when training without a dnn_trainer
if I use a dnn_trainer, it segfaults (also with bigger batch sizes...)
* remove commented code
* fix gradient computation (hopefully)
* fix loss computation
* fix crash in input_rgb_image_pair::to_tensor
* fix alias tensor offset
* refactor loss and input layers and complete the example
* add more data augmentation
* add documentation
* add documentation
* small fix in the gradient computation and reuse terms
* fix warning in comment
* use tensor_tools instead of matrix to compute the gradients
* complete the example program
* add support for mult-gpu
* Update dlib/dnn/input_abstract.h
* Update dlib/dnn/input_abstract.h
* Update dlib/dnn/loss_abstract.h
* Update examples/dnn_self_supervised_learning_ex.cpp
* Update examples/dnn_self_supervised_learning_ex.cpp
* Update examples/dnn_self_supervised_learning_ex.cpp
* Update examples/dnn_self_supervised_learning_ex.cpp
* [TYPE_SAFE_UNION] upgrade (#2443)
* [TYPE_SAFE_UNION] upgrade
* MSVC doesn't like keyword not
* MSVC doesn't like keyword and
* added tests for emplate(), copy semantics, move semantics, swap, overloaded and apply_to_contents with non void return types
* - didn't need is_void anymore
- added result_of_t
- didn't really need ostream_helper or istream_helper
- split apply_to_contents into apply_to_contents (return void) and visit (return anything so long as visitor is publicly accessible)
* - updated abstract file
* - added get_type_t
- removed deserialize_helper dupplicate
- don't use std::decay_t, that's c++14
* - removed white spaces
- don't need a return-statement when calling apply_to_contents_impl()
- use unchecked_get() whenever possible to minimise explicit use of pointer casting. lets keep that to a minimum
* - added type_safe_union_size
- added type_safe_union_size_v if C++14 is available
- added tests for above
* - test type_safe_union_size_v
* testing nested unions with visitors.
* re-added comment
* added index() in abstract file
* - refactored reset() to clear()
- added comment about clear() in abstract file
- in deserialize(), only reset the object if necessary
* - removed unecessary comment about exceptions
- removed unecessary // -------------
- struct is_valid is not mentioned in abstract. Instead rather requiring T to be a valid type, it is ensured!
- get_type and get_type_t are private. Client code shouldn't need this.
- shuffled some functions around
- type_safe_union_size and type_safe_union_size_v are removed. not needed
- reset() -> clear()
- bug fix in deserialize() index counts from 1, not 0
- improved the abstract file
* refactored index() to get_current_type_id() as per suggestion
* maybe slightly improved docs
* - HURRAY, don't need std::result_of or std::invoke_result for visit() to work. Just privately define your own type trait, in this case called return_type and return_type_t. it works!
- apply_to_contents() now always calls visit()
* example with private visitor using friendship with non-void return types.
* Fix up contracts
It can't be a post condition that T is a valid type, since the choice of T is up to the caller, it's not something these functions decide. Making it a precondition.
* Update dlib/type_safe_union/type_safe_union_kernel_abstract.h
* Update dlib/type_safe_union/type_safe_union_kernel_abstract.h
* Update dlib/type_safe_union/type_safe_union_kernel_abstract.h
* - added more tests for copy constructors/assignments, move constructors/assignments, and converting constructors/assignments
- helper_copy -> helper_forward
- added validate_type<T> in a couple of places
* - helper_move only takes non-const lvalue references. So we are not using std::move with universal references !
- use enable_if<is_valid<T>> in favor of validate_type<T>()
* - use enable_if<is_valid<T>> in favor of validate_type<T>()
* - added is_valid_check<>. This wraps enable_if<is_valid<T>,bool> and makes use of SFINAE more robust
Co-authored-by: pfeatherstone <peter@me>
Co-authored-by: pf <pf@me>
Co-authored-by: Davis E. King <davis685@gmail.com>
* Just minor cleanup of docs and renamed some stuff, tweaked formatting.
* fix spelling error
* fix most vexing parse error
Co-authored-by: Davis E. King <davis@dlib.net>
Co-authored-by: pfeatherstone <45853521+pfeatherstone@users.noreply.github.com>
Co-authored-by: pfeatherstone <peter@me>
Co-authored-by: pf <pf@me>
Co-authored-by: Davis E. King <davis685@gmail.com>
