# Release notes

New Features and Improvements: - Added a lot of new Python bindings. You can now use these things from Python: - gaussian_blur(), label_connected_blobs(), randomly_color_image(), jet(), skeleton(), find_line_endpoints(), get_rect(), shrink_rect(), grow_rect(), image_gradients, label_connected_blobs_watershed(), convert_image(), convert_image_scaled(), dpoint, centered_rect(), centered_rects(), length(), as_grayscale(), pyramid_down, find_bright_keypoints(), find_bright_lines(), find_dark_lines(), find_dark_keypoints(), suppress_non_maximum_edges(), find_peaks(), hysteresis_threshold(), sobel_edge_detector(), equalize_histogram(), resize_image(), hough_transform, remove_incoherent_edge_pixels(), normalize_image_gradients(), line, signed_distance_to_line(), distance_to_line(), reverse(), intersect(), count_points_on_side_of_line(), count_points_between_lines(), dot(), normalize(), point_transform_projective, find_projective_transform(), inv(), transform_image(), angle_between_lines(), extract_image_4points(), load_grayscale_image(), min_barrier_distance(). - Added a .add_overlay_circle() to dlib.image_window. Also made .add_overlay() take lines. - Added the *_corner() routines to rectangle and drectangle and made these objects constructable from instances of each other. - Made the Python extension module automatically enable AVX instructions if the host machine supports them. So you never need to say --yes USE_AVX_INSTRUCTIONS anymore when installing dlib.

- New C++ routines: - Added an image_window::add_overlay() overload for line object. - Added angle_between_lines() - Added extract_image_4points() - Added is_convex_quadrilateral(), find_convex_quadrilateral(), and no_convex_quadrilateral. - Added python_list_to_array() - Added min_barrier_distance()

Non-Backwards Compatible Changes:

Bug fixes: - Fixed numpy_image and pybind11 crashing python sometimes when certain types of conversions are attempted. - Fixed some python functions not taking as wide a range of image types as they did in previous dlib versions.
New Features and Improvements: - Added Python interface to threshold_image() and partition_pixels().

Non-Backwards Compatible Changes: - In the Python API, renamed dlib.save_rgb_image() to dlib.save_image().

Bug fixes: - Dlib 19.11 had a bug that caused the Python interface to reject grayscale images. This has been fixed.
New Features and Improvements: - Deep Learning - Added resize_to layer. - Made loss_multiclass_log_per_pixel use CUDA. This greatly accelerates training with this loss layer. - Image Processing - Added normalize_image_gradients() and remove_incoherent_edge_pixels(). - Added neighbors_24 (for use with label_connected_blobs()) - Added partition_pixels() and made threshold_image() use it to find the default threshold if none is given. Also depreciated auto_threshold_image() since using partition_pixels() to pick the threshold is superior. - Added overload of hysteresis_threshold() that uses partition_pixels() to select thresholds. - Added encode_8_pixel_neighbors() and find_line_endpoints(). - Added image_gradients, a tool for computing multi-scale first and second order image gradients. - Added find_bright_lines(), find_dark_lines(), find_bright_keypoints(), and find_dark_keypoints(). - Added label_connected_blobs_watershed(). - Added find_peaks(). - Added find_pixels_voting_for_lines(), find_strong_hough_points(), and perform_generic_hough_transform() to the hough_transform. - Improved the stopping condition of the solve_qp_box_constrained() and solve_qp_box_constrained_blockdiag() quadratic program solvers. - Made find_min_single_variable() more numerically stable. - Make visual studio build with all cores when building dlib. - Added steal_memory() to the matrix. - Improved the workflow for adding part annotations in imglab. You can now use shift+click to rapidly add parts to an object. Each part will automatically receive an integer label. - Added .begin() and .end() to array2d. - Added the line class and some related utility functions. - Added centered_rects(). - Added numpy_image, which is a simple type safe interface to numpy arrays. It is also a fully functional dlib image class, making interfacing dlib's image processing to Python much cleaner.

Non-Backwards Compatible Changes: - All CUDA code in dlib was moved to dlib/cuda.

Bug fixes: - Replaced all the old Python C APIs interfacing to numpy with the new numpy_image. This fixed some reference counting errors as a result. - Fixed load_bmp() not loading certain types of BMP images. - Fixed compile time bugs when trying to use CBLAS in some unusual environments. - Fixed bug in global_function_search's constructor that takes initial function evaluations. It wasn't assigning these values into the entire state of the solver. - Fixed compile time error in the matlab bindings. Also, fixed cell arrays of complex types not binding correctly. - Renamed BOOST_JOIN to DLIB_BOOST_JOIN to prevent name clashes when working with boost. - Fixed bug in hysteresis_threshold() that could cause incorrect output. - The last release of dlib added more ODR violation checks. However, these could erroneously trigger when using Visual Studio and CUDA in certain workflows. This has been fixed. - Fixed matrix objects not working correctly when sized greater than 4GB in Visual Studio.
New Features and Improvements: - Deep Learning: - Added scale_ layer, allowing implementation of squeeze-and-excitation networks. - Added loss_multimulticlass_log: used for learning a collection of multi-class classifiers. - Added a random forest regression tool. See random_forest_regression_trainer. - Added make_bounding_box_regression_training_data() - Added isotonic_regression - Added momentum_filter, rect_filter, find_optimal_momentum_filter(), and find_optimal_rect_filter(). - Added binomial_random_vars_are_different() and event_correlation(). - Added xcorr_fft(), a routine for efficiently performing large cross-correlations using the FFT. - Added the ramdump type decorator for invoking faster serialization routines. - Added check_serialized_version() - Added max_scoring_element() and min_scoring_element() - Made orthogonalize() faster. - Updates to the Python API: - Added interface to the global_function_search object. This is a more general interface to the solver used by find_max_global(). - Added support for variadic Python functions in find_max_global(). - Added rect_filter and find_optimal_rect_filter(). - Added make_bounding_box_regression_training_data() - Added the image_dataset_metadata routines for parsing XML datasets. - Added rvm_trainer - Added probability_that_sequence_is_increasing() - Added dlib.__time_compiled__ field - Added num_threads to shape_predictor_training_options. - Added CUDA controlling routines such as set_device() and set_dnn_prefer_smallest_algorithms().

Non-Backwards Compatible Changes: - Changed CMake so that there is only the dlib target and it isn't forced to be static. Instead, the build type will toggle based on the state of CMake's BUILD_SHARED_LIBS variable. So there is no longer a dlib_shared target. - Changed the integer types used to represent sizes from 32bits to 64bits in numerous places, such as in the tensor object. This should be a backwards compatible change for nearly all client code.

Bug fixes: - Fixed memory leak in java swig array binding tool. - Fixed windows include order problem in all/source.cpp file. - Fixed cont_ layers not printing the correct num_filters parameter when they were printed to std::cout or to XML. - Fixed some code not handling OBJECT_PART_NOT_PRESENT values correctly. - Fixed fft_inplace() not compiling for compile time sized matrices. - The shape_predictor_trainer could have very bad runtime for some really bad parameter settings. This has been fixed and also warning messages about really bad training data or parameters have been added. - Fixed the decayed running stats objects so they use unbiased estimators.

New Features and Improvements: - Switched the Python API from Boost.Python to pybind11. This means Python users don't need to install Boost anymore, making building dlib's Python API much easier. - Made the sparse version of svd_fast() use multiple CPU cores. - Changed the behavior of imglab's --flip option. It will now attempt to adjust any object part labels so that the flipped dataset has the same average part layout as the source dataset. There is also a new --flip-basic option that behaves like the old --flip. However, most people flipping a dataset with part annotations will want to use --flip. For more details see: http://blog.dlib.net/2018/01/correctly-mirroring-datasets.html

Non-Backwards Compatible Changes: - Removed std::auto_ptr from dlib's old (and depreciated) smart pointers.

Bug fixes: - Fixed global_optimization.py not working in Python 3.

New Features and Improvements: - Added a global optimizer, find_max_global(), which is suitable for optimizing expensive functions with many local optima. For example, you can use it for hyperparameter optimization. See model_selection_ex.cpp for an example. - Updates to the deep learning tooling: - Added semantic segmentation examples: dnn_semantic_segmentation_ex.cpp and dnn_semantic_segmentation_train_ex.cpp - New layers: loss_ranking, loss_epsilon_insensitive, softmax_all, and loss_dot. - Made log loss layers more numerically stable. - Upgraded the con layer so you can set the number of rows or columns to 0 in the layer specification. Doing this means "make the filter cover the whole input image dimension". This provides an easy way to make a filter sized so it will have one output along that dimension, effectively making it like a fully connected layer operating on a row or column. - Added support for non-scale-invariant MMOD. - Added an optional parameter to dnn_trainer::get_net() that allows you to call the function without forcing a state flush to disk. - Sometimes the loss_mmod layer could experience excessively long runtime during early training iterations. This has been optimized and is now much faster. - Optimized the tensor's management of GPU memory. It now uses less memory in some cases. It will also not perform a reallocation if resized to a smaller size. Instead, tensors now behave like std::vector in that they just change their nominal size but keep the same memory, only reallocating if they are resized to something larger than their underlying memory block. This change makes some uses of dlib faster, in particular, running networks on a large set of images of differing sizes will now run faster since there won't be any GPU reallocations, which are notoriously slow. - Upgraded the input layer so you can give input<std::array<matrix<T>,K>> types as input. Doing this will create input tensors with K channels. - Added disjoint_subsets_sized - Added Python APIs: get_face_chips(), count_steps_without_decrease(), count_steps_without_decrease_robust(), and jitter_image(). - Various improvements to CMake scripts: e.g. improved warning and error messages, added USE_NEON_INSTRUCTIONS option. - chol() will use a banded Cholesky algorithm for banded matrices, making it much faster in these cases. - Changed the timing code to use the C++11 high resolution clock and atomics. This makes the timing code a lot more precise.

Non-Backwards Compatible Changes: - Changed the random_cropper's set_min_object_size() routine to take min box dimensions in the same format as the mmod_options object (i.e. two lengths measured in pixels). This should make defining random_cropping strategies that are consistent with MMOD settings more straightforward since you can simply take the mmod_options settings and give them to the random_cropper and it will do the right thing. - Changed the mean squared loss layers to return a loss that's the MSE, not 0.5*MSE. The only thing this effects is the logging messages that print during training, which were confusing since the reported loss was half the size you might naively expect. - Changed the outputs of test_regression_function() and cross_validate_regression_trainer(). These functions now output 4D rather than 2D vectors. The new output is: mean squared error, correlation, mean absolute error, and standard deviation of absolute error. I also made test_regression_function() take a non-const reference to the regression function so that DNN objects can be tested. - Fixed shape_predictor_trainer padding so it behaves as it used to. In dlib 19.7 the padding code was changed and accidentally doubled the size of the applied padding in some cases. It's not a huge deal either way, but this change reverts back to the previous behavior.

Bug fixes: - Fixed toMat() not compiling in some cases. - Significantly reduced the compile time of the DNN example programs in visual studio. - Fixed a few image processing functions that weren't using the generic image interface. - Fixed a bug in the random_cropper where it might crash due to division by 0 if small images were given as input. - Fixed a bug in how the mmod_options automatically determines detection window sizes. It would pick a bad size in some cases. - Fixed load_image_dataset()'s skip_empty_images() option. It wasn't skipping images that only have ignore boxes when you load into mmod_rect objects. - Fixed a bug where chinese_whispers(), when called from python, would sometimes return a labels array that didn't include labels for all the inputs. - Fixed a bug in dlib's MS Windows GUI code that was introduced a little while back when we switched everything to std::shared_ptr. This change fixes a bug where the program crashes or hangs sometimes during program shutdown. - Fixed error in TIME_THIS() introduced in dlib 19.7. It was printing seconds when it said minutes in the output. - Adding missing implementation of tabbed_display::selected_tab. - Changed the windows signaler and mutex code to use the C++11 thread library instead of the old win32 functions. I did this to work around how windows unloads dlls. In particular, during dll unload windows will kill all threads, THEN it will destruct global objects. So this can lead to problems when a global object that owns threads tries to tell them to shutdown, since the threads have already vanished. The new code mitigates some of these problems, in particular, there were some cases where unloading dlib's python extension would deadlock. This should now be fixed. - Fixed compile time errors when either of these macros were enabled: DLIB_STACK_TRACE, DLIB_ISO_CPP_ONLY.

New Features and Improvements: - Deep Learning: - The CNN+MMOD detector is now a multi-class detector. In particular, the mmod_rect object now has a string label field which you can use to label objects, and the loss_mmod_ layer will learn to label objects with those labels. For an example, see: https://www.youtube.com/watch?v=OHbJ7HhbG74 - CNN+MMOD detectors are now 2.5x faster. For instance, this example program http://dlib.net/dnn_mmod_find_cars_ex.cpp.html now runs at 98fps instead of 39fps. - Added a 5 point face landmarking model that is over 10x smaller than the 68 point model, runs faster, and works with both HOG and CNN generated face detections. It is now the recommended landmarking model to use for face alignment. render_face_detections() and get_face_chip_details() have been updated to work with both 5 and 68 point models, so the new 5 point model is a drop in replacement for the 68 point model. - The imglab tool is slightly improved. It will display box labels with higher relative contrast. You can also now press END or i to ignore boxes in imglab. This is useful because it's a much less stressing hand motion to hit END that i in most cases. - Added overloads of sub_image() that take raw pointers so you can make sub_images of anything. - Changed TIME_THIS() to use std::chrono::high_resolution_clock, so now it's much higher precision. - Exposed Chinese whispers clustering to Python, added face clustering example.

Non-Backwards Compatible Changes:

Bug fixes: - Fixed an error in input_rgb_image_pyramid::image_contained_point(). The function might erroneously indicate that a point wasn't inside the original image when really it was, causing spurious error messages. - mmod_options would pick bad window sizes in some corner cases. This has been fixed. - Fixed a bug in the extract layer that trigged when a tensor with a different number of samples than the tensor used to initialize the network was passed through the layer. - The loss_per_missed_target parameter of the loss_mmod_ wasn't being used exactly right when boxes were auto-ignored. There weren't any practical user facing problems due to this, but it has nevertheless been fixed.

New Features and Improvements:

Non-Backwards Compatible Changes:

Bug fixes: - Fix build error in Visual Studio when CUDA is enabled.

New Features and Improvements: - Deep Learning - Added a python wrapper for using the CNN face detector. - Added support for cuDNN v6 and v7. - Added a simple tool to convert dlib model files to caffe models. See the tools/convert_dlib_nets_to_caffe folder for details. - New DNN layers - loss_multiclass_log_per_pixel_ - loss_multiclass_log_per_pixel_weighted_ - loss_mean_squared_per_pixel_ - cont_ (transpose convolution, sometimes called "deconvolution") - mult_prev_ (like add_prev_ but multiplies instead of adds) - extract_ (sort of like caffe's slice layer) - upsample_ (upsamples a tensor using bilinear interpolation) - Object Detection - Upgraded loss_mmod_ to support objects of varying aspect ratio. This changes the API for the mmod_options struct slightly. - Relaxed the default non-max suppression parameters used by the mmod_options object so that users of the deep learning MMOD tool don't get spurious errors about impossibly labeled objects during training. - Added missing input validation to loss_mmod_. Specifically, the loss layer now checks if the user is giving truth boxes that can't be detected because the non-max suppression settings would prevent them from being output at the same time. If this happens then we print a warning message and set one of the offending boxes to "ignore". I also changed all the input validation errors to warning messages with auto conversion to ignore boxes rather than exceptions. - Changed the random_cropper's interface so that instead of talking in terms of min and max object height, it's now min and max object size. This way, if you have objects that are short and wide (i.e. objects where the relevant dimension is width rather than height) you will get sensible behavior out of the random cropper. - Added options to input_rgb_image_pyramid that let the user set create_tiled_pyramid()'s padding parameters. Also changed the default outer border padding from 0 to 11. This effects even previously trained models. So any model that doesn't explicitly set the outer patting to something else will have a padding of 11. This should be a more reasonable value for most networks. - Added process() and process_batch() to add_loss_layer. These routines let you easily pass arguments to any optional parameters of a loss layer's to_tensor() routine. For instance, it makes it more convenient to set loss_mmod_'s adjust_threshold parameter. - Added visit_layers_until_tag() - Improved how dnn_trainer synchronizes its state to disk. It now uses two files and alternates between them. This should be more robust in the face of random hardware failure during synchronization than the previous synchronization method. - Made it so you can set the number of output filters for con_ layers at runtime. - The way cuDNN work buffers are managed has been improved, leading to less GPU RAM usage. Therefore, users should not need to call set_dnn_prefer_smallest_algorithms() anymore. - Added operator<< for random_cropper and dnn_trainer to allow easy logging of training parameters. - Made concat_ layer a lot faster. - Made the dnn_trainer not forget all the previous loss values it knows about when it determines that there have been a lot of steps without progress and shrinks the learning rate. Instead, it removes only a small amount of the oldest values. The problem with the old way of removing all the loss values in the history was that if you set the steps without progress threshold to a really high number you would often observe that the last few learning rate values were obviously not making progress, however, since all the previous loss values were forgotten the trainer needed to fully populate its loss history from scratch before it would figure this out. This new style makes the trainer not waste time running this excessive optimization of obviously useless mini-batches. I also changed the default get_test_iterations_without_progress_threshold() from 200 to 500. Now that we have a better history management of loss values in the trainer it's much more sensible to have a larger value here. - Dlib's simd classes will now use ARM NEON instructions. This makes the HOG based object detector faster on mobile devices running ARM processors. - Added last_modified() method to dlib::file. Also, added select_oldest_file() and select_newest_file(). - Added solve_qp_box_constrained_blockdiag() - Added an overload of mat() that takes a row stride value. - Added cmake scripts and some related tooling that makes it easy to call C++ code from java. See dlib/java/ folder. - MATLAB MEX wrapper API - Made the mex wrapper deal with cell arrays that have null elements. - Made ctrl+c detection in a mex file work more reliably in newer versions of matlab. - Added set_rect_area() - Gave test_object_detection_function() an option to set how ignore box overlap is tested. - Added serialization support for the running_stats_decayed object. - Additions to imglab - Added --sort and also the ability to propagate boxes from one image to the next using dlib::correlation_tracker. - Made it so you can remove images by pressing alt+d. - Made is so pressing e in imglab toggles between views of the image where the histogram is equalized or unmodified. This way, if you are looking at particularly dark or badly contrasted images you can toggle this mode and maybe get a better view of what you are labeling. - Made the attribute_list of the xml parser a little more friendly by allowing you to ask for attributes that don't exist and get a defined behavior (an exception being thrown) rather than it being a contract violation.

Non-Backwards Compatible Changes: - DNN solver objects are now required to declare operator<<. - Broke backwards compatibility with previous dnn_trainer serialization format. The network serialization format has not changed however. So old model files will still load properly. - Changed random_cropper interface. - Changed the XML format output by net_to_xml(). Specifically, the XML tag for affine layers was changed to use the same conventions as other layers that support convolutional vs fully connected modes. - Dlib's smart pointers have been deprecated and all of dlib's code has been changed to use the std:: version of these smart pointers. The old dlib smart pointers are still present, allowing users to explicitly include them if needed, but users should migrate to the C++11 standard version of these tools. - Changed the functions that transform between input tensor coordinates and output tensor coordinates to use dpoint instead of point. This way, we can obtain sub-pixel coordinates if we need them. - Upgraded loss_mmod_ to support objects of varying aspect ratio. This changes the API for the mmod_options struct slightly.

Bug fixes: - Made resize_image() and functions that use it like the pyramid objects produce better results when run on float and double images. There was needless rounding to integers happening in the bilinear interpolation. Now if you work with a float image the entire process will run without integer rounding. - Made the input_tensor_to_output_tensor() and output_tensor_to_input_tensor() coordinate mappings work on networks that contain skip layers. - The input_rgb_image_sized is supposed to be convertible to input_rgb_image, which it was in all ways except you couldn't deserialize directly like you would expect. This has now been fixed. - There was a bug in the concat_ layer's backward() method. It was assigning the gradient to previous layers instead of adding the gradient, as required by the layer interface specification. Probably no-one has been impacted by this bug, but it's still a bug and has been fixed. - Changed the random_cropper so that it samples background patches uniformly across scales regardless of the input image size. Previously, if you gave really large images or really small images it had a bias towards giving only large patches or small patches respectively. - Fixed name lookup problem for calls to serialize() on network objects. - Fixed double delete in tokenizer_kernel_1. - Fixed error in pyramid_down<2> that caused the output image to be a little funny looking in some cases. - Fixed the visit_layers_backwards() and visit_layers_backwards_range() routines so they visit layers in the correct order. - Made build scripts work on a wider range of platforms and configurations. - Worked around global timer cleanup issues that occur on windows when dlib is used in a dll in some situations. - Fixed various compiler errors in obscure environments.

New Features:

Non-Backwards Compatible Changes: - CMake 2.8.12 is now required to build dlib (but only if you use CMake).

Bug fixes: - Fixed a slow memory leak that could occur when using cuDNN.

Other:
New Features: - Deep Learning - Added a state-of-the-art face recognition tool (99.38% accuracy on the LFW benchmark) with C++ and Python example programs. - Added these new loss layer types: loss_metric_, loss_mean_squared_, and loss_mean_squared_multioutput_. - Added the l2normalize_ computational layer. - Added test_one_step() to the dnn_trainer. This allows you to do automatic early stopping based on observing the loss on held out data. - Made the dnn_trainer automatically reload from the last good state if a loss of NaN is encountered. - Made alias_tensor usable when it is const. - Dlib's simd classes will now use PowerPC VSX instructions. This makes the HOG based object detector faster on PowerPC machines. - Added compute_roc_curve() - Added find_gap_between_convex_hulls() - Added serialization support for std::array. - Added running_scalar_covariance_decayed object - Added running_stats_decayed object - Added min_pointwise() and max_pointwise(). - Added a 1D clustering routine: segment_number_line(). - Added Intel MKL FFT bindings. - Added matlab_object to the mex wrapper. Now you can have parameters that are arbitrary matlab objects. - Added support for loading of RGBA JPEG images

Non-Backwards Compatible Changes: - Changed the loss layer interface to use two typedefs, output_label_type and training_label_type instead of a single label_type. This way, the label type used for training can be distinct from the type output by the network. This change breaks backwards compatibility with the previous API.

Bug fixes: - Fixed compiler warnings and errors on newer compilers. - Fixed a bug in the repeat layer that caused it to throw exceptions in some cases. - Fixed matlab crashing if an error message from a mex file used the % character, since that is interpreted by matlab as part of an eventual printf() code. - Fixed compile time error in random_subset_selector::swap() - Fixed missing implementation of map_input_to_output() and map_output_to_input() in the concat_ layer. - Made the dnn_trainer's detection and backtracking from situations with increasing loss more robust. Now it will never get into a situation where it backtracks over and over. Instead, it will only backtrack a few times in a row before just letting SGD run unimpeded.

Other: - Usability improvements to DNN API. - Improved C++11 detection, especially on OS X. - Made dlib::thread_pool use std::thread and join on the threads in thread_pool's destructor. The previous implementation used dlib's global thread pooling to allocate threads to dlib::thread_pool, however, this sometimes caused annoying behavior when used as part of a MATLAB mex file, very occasionally leading to matlab crashes when mex files were unloaded. This also means that dlib::thread_pool construction is a little bit slower than it used to be.
New Features: - Updates to the deep learning API: - Added tools for making convolutional neural network based object detectors. See dnn_mmod_ex.cpp example program. - Added annotation() to tensor so you can associate any object you want with a tensor. - Made layer_details() part of the SUBNET interface so that user defined layer details objects can access each other. Also added the input_layer() global function for accessing the input layer specifically. - alias_tensor can now create aliases of const tensors. - Added set_all_bn_running_stats_window_sizes(). - Added visit_layers_backwards(), visit_layers_backwards_range(), and visit_layers_range(). - Computational layers can now optionally define map_input_to_output() and map_output_to_input() member functions. If all layers of a network provide these functions then the new global functions input_tensor_to_output_tensor() and output_tensor_to_input_tensor() can be used to map between the network's input and output tensor coordinates. This is important for fully convolutional object detectors since they need to map between the image space and final feature space. These new functions are important for tools like the new MMOD detector. - Added input_rgb_image_pyramid. - Image Processing - The imglab command line tool has these new options: --min-object-size, --rmempty, --rmlabel, --rm-if-overlaps, and --sort-num-objects. I also changed the behavior of --split so that it simply partitions the data and is an invertible operation. - Added mmod_rect - Added an overload of load_image_dataset() that outputs directly to mmod_rect instead of rectangle. - Added image_dataset_file::shrink_big_images(). So now load_image_dataset() can load a dataset of high resolution files at a user requested lower resolution. - Added box_intersection_over_union(). - Added create_tiled_pyramid(), image_to_tiled_pyramid(), and tiled_pyramid_to_image(). - Added random_cropper - Upgraded dlib's mex wrapper tooling to enable easy binding of C++ classes to MATLAB objects. - Added nearest_rect() - Added find_upper_quantile() - Added count_steps_without_decrease_robust(). - Added get_double_in_range() to dlib::rand.

Non-Backwards Compatible Changes: - C++11 is now required to use dlib. - Changed pinv() so it interprets its tol argument relative to the largest singular value of the input matrix rather than as an absolute tolerance. This should generally improve results, but could change the output in some cases. - Renamed the class members of test_box_overlap so they are less confusing. - Updates to the deep learning API: - Changed the DNN API so that sample_expansion_factor is a runtime variable rather than a compile time constant. This also removes it from the input layer interface since the DNN core now infers its value at runtime. Therefore, users that define their own input layers don't need to specify it anymore. - Changed DEFAULT_BATCH_NORM_EPS from 1e-5 to 1e-4. - Changed the default batch normalization running stats window from 1000 to 100.

Bug fixes: - Made the relational operators constexpr so they don't accidentally cause compilation errors when they get pulled into the scope of template metaprogramming expressions. - Fixed all/source.cpp not compiling in some instances. - CMake scripts now do a better job detecting things like C++11 support, the presence of CUDA, and other system specific details that could cause the build to fail if not properly configured. - Fixed a bug in imglab's --cluster option where it would output xml files with empty entries if the input xml file contained unannotated images. - Fixed imglab's --cluster option not working with relative paths.

Other: - Made the thread local variables that hold the cudnn and cublas context objects not destruct and recreate themselves when you switch devices. Instead, they keep a table of context objects, for each thread and device, reusing as necessary. This prevents churn in the context objects when you are switching back and forth between devices inside a single thread, making things run more efficiently for some CUDA based workflows. - Made the message argument of the DLIB_ASSERT and DLIB_CASSERT macros optional. - Made thread_pool and parallel_for propagate exceptions from task threads to calling code rather than killing the application if a task thread throws. - Changed imglab --resample so that it never changes the aspect ratio of an image. - Made the check in dnn_trainer for convergence more robust. Previously, if we encountered a bad mini-batch that made the loss value suddenly jump up by a larger than normal value it could make the trainer think we converged. Now the test is robust to transient spikes in loss value. Additionally, the dnn_trainer will now check if the loss has been increasing before it saves the state to disk. If it detects that the loss has been going up then instead of saving to disk it recalls the previously good state. This way, if we hit a really bad mini-batch during training which negatively effects the model in a significant way, the dnn_trainer will automatically revert back to an earlier good state.
New Features: - Support for cuDNN 5.1 - dlib::async() and dlib::default_thread_pool(). - rectangle_transform - imglab tool: added --resample, --ignore, --files, and --extract-chips command line options. Also added convert_imglab_paths_to_relative and copy_imglab_dataset scripts. - Evgeniy Fominov made the shape_predictor trainer multi-threaded and faster. - sutr90 contributed support for the CIELab color space. See the new lab_pixel.

Non-Backwards Compatible Changes: - All the cmake utility scripts were moved to dlib/cmake_utils. - Code that #includes the shape_predictor can now only be compiled with compilers that support C++11 lambda functions.

Bug fixes: - Made CMake scripts work in a wider range of environments. - Fixed compile time errors on various platforms. - Fixed bad multi-threading support in the MATLAB mex wrapper. - Fixed bug in cuDNN binding that could sometimes cause NaN outputs. - Fixed bad convergence testing in DNN tooling for very small datasets.

Other:
New Features: - A deep learning toolkit using CPU and/or GPU hardware. Some major elements of this are: - Clean and fully documented C++11 API - Clean tutorials: see dnn_introduction_ex.cpp and dnn_introduction2_ex.cpp - Uses cuDNN v5.0 - Multi-GPU support - Automatic learning rate adjustment - A pretrained 1000 class Imagenet classifier (see dnn_imagenet_ex.cpp) - Optimization Tools - Added find_optimal_parameters() - Added elastic_net class - Added the option to use the elastic net regularizer to the OCA solver. - Added an option to solve the L2-loss version of the SVM objective function to svm_c_linear_dcd_trainer. - Added solve_qp_box_constrained() - Image Processing - Added random_color_transform, disturb_colors(), and apply_random_color_offset(). - load_image() now supports loading GIF files. - Many improvements to the MATLAB binding API - Automatically link to MATLAB's Intel MKL when used on linux. - struct support - mex functions can have up to 20 arguments instead of 10. - In place operation. Made column major matrices directly wrap MATLAB matrix objects when used inside mex files. This way, if you use matrix_colmajor or fmatrix_colmajor in a mex file it will not do any unnecessary copying or transposing. - Catch ctrl+c presses in MATLAB console. Allowing early termination of mex functions. - When used inside mex files, DLIB_ASSERTS won't kill the MATLAB process, just throw an exception. - Made cerr print in MATLAB as a red warning message. - load_mnist_dataset() - Added a constructor for seeding rand with a time_t. - Added subm_clipped() - Added unserialize. - Added running_gradient

Non-Backwards Compatible Changes: - Everything in dlib/matlab/call_matlab.h is now in the dlib namespace. - DLIB_TEST() and DLIB_TEST_MSG() macros now require you to terminate them with a ;

Bug fixes: - Fixed bug in 10 argument version of call_matlab() and also cleaned up a few minor things. - setup.py and CMake scripts work in a few more contexts. - Fixed compiler errors in visual studio 2015. - Fixed a bug in gaussian_blur() that caused messed up outputs when big sigma values were used on some pixel types. - Fixed minor bugs in join_rows() and join_cols(). They didn't work when one of the matrices was empty.

Other: - Made CMake scripts uniformly require CMake version 2.8.4. - Faster fHOG feature extraction / face detection - CMake scripts now enable C++11 by default - Gave array2d and matrix move constructors and move assignment operators. Matrix can also now be created from initializer lists.
New Features: - Added the set_ptrm() routine for assigning dlib::matrix objects to arbitrary memory blocks.

Non-Backwards Compatible Changes:

Bug fixes: - Fixed a bug that caused cmake to not provide the correct preprocessor definitions until cmake was run twice. This was causing some projects to not build properly.

Other: - Improvements to build system: - Ehsan Azarnasab contributed a setup.py so the dlib Python API can be installed via the usual 'python setup.py install' command. - Séverin Lemaignan upgraded dlib's CMake scripts so they include an install target. Now dlib can be installed system wide by executing 'cmake PATH_TO_DLIB; make install'. This also includes installing the appropriate scripts for CMake's find_package(dlib) to work.
New Features: - More clustering tools: - Added bottom_up_cluster() and find_clusters_using_angular_kmeans() routines. - Added a --cluster option to the imglab tool. This lets you cluster objects into groups of similar appearance/pose. - Improved the shape_predictor. In particular, it can now be learned from datasets where some landmarks are missing. The shape_predictor also now outputs a sparse feature vector that encodes which leafs are used on each tree to make a prediction.

Non-Backwards Compatible Changes: - extract_highdim_face_lbp_descriptors() produces slightly different output.

Bug fixes: - Fixed a minor bug in extract_highdim_face_lbp_descriptors() which was pointed out by Yan Xu. One of the face locations was mistakenly used twice while another was skipped. This change breaks backwards compatibility with the previous feature extraction output but should slightly improve accuracy of classifiers trained using these features. - Fixed jet() and heatmap() so they work on empty images. - The SQLite transaction object did not function correctly when compiled in a C++11 program. Since its destructor can throw, an exception specification needed to be added indicating that this was possible since destructors are now noexcept by default in C++11. - Fixed a bug pointed out by Ernesto Tapia that could cause matrix expressions that involve sub matrix views (e.g. colm) to produce the wrong results when the BLAS bindings were enabled. - Added an if to avoid a possible division by zero inside spectral_cluster(). - Fixed a bug in parse_xml(). It failed to check if the given input stream was valid before trying to parse it.

Other:

New Features: - Added a linear model predictive control solver. See the mpc_ex.cpp example program for details. - Thanks to Patrick Snape, the correlation_tracker can now be used from Python.

Non-Backwards Compatible Changes: - The camera_transform's second operator() method now takes 3 arguments instead of 2. This is to allow it to output the z distance in addition to scale.

Bug fixes: - Fixed a bug in the eigenvalue_decomposition which could occur when a symmetric matrix was used along with the LAPACK bindings. - Fixed a bug where the last column of data in a file wasn't loaded on some OS X machines when load_libsvm_formatted_data() was called.

Other: - Added a hard iteration limit to a number of the SVM solvers. - Adrian Rosebrock graciously setup an OS X machine for dlib testing, which resulted in improved CMake python scripts on OS X machines. - Improved the way overlapping points are rendered by the perspective_window.

New Features: - Added a number of tools for working with 3D data: - Added the perspective_window which is a tool for displaying 3D point clouds. - Added camera_transform. It performs the 3D to 2D mapping needed to visualize 3D data. - Added point_transform_affine3d as well as functions for creating such transforms: rotate_around_x(), rotate_around_y(), rotate_around_z(), and translate_point(). - Added draw_solid_circle() for drawing on images. - Added get_best_hough_point() to the hough_transform. - Thanks to Jack Culpepper, the python API for object detection now outputs detection confidences. - Added lspi, an implementation of the least-squares policy iteration algorithm.

Non-Backwards Compatible Changes: - The shape_predictor and shape_predictor_trainer had a non-optimal behavior when used with objects that have non-square bounding boxes. This has been fixed but will cause models that were trained with the previous version of dlib to not work as accurately if they used non-square boxes. So you might have to retrain your models when updating dlib.

Bug fixes: - Fixed a bug which prevented add_image_rotations() from compiling.

Other: - The imglab tool now allows the user to click and drag annotations around by holding shift and right clicking.

New Features: - Added spectral_cluster() - Added sub_image() and sub_image_proxy - Added set_all_logging_headers()

Non-Backwards Compatible Changes:

Bug fixes: - Fixed a bug that caused the correlation_tracker to erroneously trigger an assert when run in debug mode.

Other: - Improved the usability of the new drectanle object. - Optimized extract_fhog_features() for the case where cell_size==1. This makes it about 4x faster in that case. - Made it so you can compose point transform objects via operator *.

New Features: - Added the correlation_tracker object - Added the option to force the last weight to 1 to structural_assignment_trainer. - Added max_point_interpolated() - Added the drectangle object - New Python Tools: - Patrick Snape contributed a Python binding for the face landmarking tool and the general purpose shape prediction/training tools. - Vinh Khuc contributed a Python binding for find_candidate_object_locations(), dlib's implementation of the selective search object location proposal method.

Non-Backwards Compatible Changes:

Bug fixes: - Fixed a bug in extract_image_chips() and get_mapping_to_chip() that caused incorrect outputs when the requested chip stretched the image unevenly vertically or horizontally. - Made CMake check that libpng and libjpeg actually contain the link symbols they are supposed to since, on some systems, these libraries aren't installed correctly and will cause linker errors if used. - Fixed assign_border_pixels(img, rect) so that it correctly zeros an image when an empty rectangle is supplied. Previously, it did nothing to the image in this case. - Fixed compute_lda_transform() so it works properly when the class covariance matrices are singular even after performing PCA. - Fixed a bug in find_similarity_transform(). When given just two points as inputs it would sometimes produce a reflection rather than a similarity transform. - Disabled all bindings to FFTW because FFTW isn't threadsafe.

Other: - Added an example program for dlib's SQLite API and made a few minor usability improvements to the API as well.

New Features: - Upgraded fft() and ifft() to support 2D matrices. - Added hough_transform - Added skeleton() for finding the skeletonization of a binary image. - Added distance_to_line(), clip_line_to_rectangle(), min_point(), and max_point(). - Added a simple API for calling C++ from MATLAB.

Non-Backwards Compatible Changes:

Bug fixes: - Fixed a compile time error that could happen when calling fft() for certain input types. - Fixed a compile time error that prevented auto_threshold_image() from being used. - Fixed name clashes with new version of Boost. - Changed Python pickling code so it works with Python 3. - Fixed CMake compile time error related to finding fftw.

Other: - Made extract_image_chips() much faster when extracting unscaled image chips.
New Features: - Added save_jpeg() - Added the option to use an identity matrix prior to vector_normalizer_frobmetric. - Made the extract_image_chips() routine more flexible, in particular: Added get_mapping_to_chip(), get_face_chip_details(), map_det_to_chip(), and also upgraded chip_details so you can specify a chip extraction by a bunch of point correspondences between the chip and the original image. - Added a set of local-binary-pattern based feature extractors: make_uniform_lbp_image(), extract_histogram_descriptors(), extract_uniform_lbp_descriptors(), and extract_highdim_face_lbp_descriptors() - Added compute_lda_transform() - Added equal_error_rate() - Added cast_to() to the type_safe_union. This allows you to get the contents of a const type_safe_union.

Non-Backwards Compatible Changes:

Bug fixes: - Changed noncopyable.h to avoid a name clash with boost 1.56 - On some platforms hostname_to_ip() would erroneously return 0.0.0.0. This has been fixed.

Other:
New Features: - Added find_similarity_transform() - Added the ability to upgrade a auto_mutex_readonly from a readonly lock to a write lock. - Added an implementation of the paper "One Millisecond Face Alignment with an Ensemble of Regression Trees" by Vahid Kazemi and Josephine Sullivan which appeared in this year's CVPR conference. Therefore, dlib now includes tools for learning shape models and also comes with a state-of-the-art face landmark locator. See the face_landmark_detection_ex.cpp and train_shape_predictor_ex.cpp example programs for an introduction.

Non-Backwards Compatible Changes: - Made the interface to all the image processing routines more generic. In particular, it is now easier to use arbitrary image types with dlib. The new generic image interface is defined in dlib/image_processing/generic_image.h and simply consists of seven user defined global functions and a traits template. Any user code that was using array2d objects to represent images will still work. However, if you had been using your own custom image object you will need to provide implementations of the seven functions. Instructions for how to do this are in dlib/image_processing/generic_image.h.

Bug fixes: - Changed the murmur hash implementation to avoid any possibility of strict aliasing violations in user code, even when things get inlined in unfavorable ways. - Fixed a color space handling bug in resize_image() that caused bad looking outputs in some cases. - If "cmake" was a substring of the full path to your source code folder then the cmake scripts would fail. This has been fixed. - Fixed a compile time error that could occur when using find_max_single_variable().

Other: - load_image() now uses the internal file header information to detect the image format rather than looking at the file extension. - Renamed unit test program to dtest avoid warnings from CMake. - cross_validate_trainer() and cross_validate_trainer_threaded() no loner make copies of the training data. This significantly reduces their RAM usage for large datasets. - Changed the serialization code for C-strings so that they don't save the null terminator byte. This makes their serialization format the same as the format for std::string. The code should still be able to read all previously serialized data correctly, so the change is backwards compatible with previous versions of dlib. - Changed the evaluate_detectors() routine so that it applies non-max suppression to each detector individually. This way one detector doesn't stomp on the output of another detector. - Made the version of draw_line() that draws onto a regular image use alpha blending for drawing diagonal lines.
New Features:

Non-Backwards Compatible Changes:

Bug fixes: - The new simplified serialization API that works like serialize("filename")<<object was not opening files in binary mode and therefore didn't work properly on Windows. This has been fixed.

Other:

New Features: - Added the ability to set a previously trained function as a prior to the svm_multiclass_linear_trainer, svm_c_linear_trainer, and svm_rank_trainer objects. - Added a user settable loss to the structural_assignment_trainer and structural_track_association_trainer objects. - Added evaluate_detectors(), a function for efficiently running multiple fHOG based object detectors. - Added the new split_on_first() and split_on_last() string manipulation functions. - Added locally_change_current_dir, a RAII tool for switching between directories. - You can now make a 1x1 matrix containing a single value by calling mat() on a single scalar value. - The point transform functions and frobmetric_training_sample are now serializable. - Added a simplified operator << and >> based syntax for serializing to and from files. So now you can serialize to a file using a syntax of: serialize("myfile.dat") << myobject << another_object; and then load those objects from disk via: deserialize("myfile.dat") >> myobject >> another_object; An arbitrary number of objects can be serialized or deserialized by chaining the << and >> operators.

Non-Backwards Compatible Changes:

Bug fixes: - Fixed a bug pointed out by Daniel Girardeau-Montaut. The covariance() function didn't work on non-double valued matrices. - Fixed a bug in the backtracking_line_search() function pointed out by Ping-Chang Shih. The function ignored the max_iter parameter. - Fixed a compiler error encountered when using clang 3.4 on Mac OS X 10.9. Thanks to Martin Fergie for reporting this problem. - Fixed a potential divide by zero in draw_fhog()

Other: - Added an example program showing how to set a custom logger output hook. - Made linear decision_functions which use sparse vectors much faster.

New Features: - Added a Python API for working with fHOG based object detectors. See the new python example programs train_object_detector.py and face_detector.py for more details. - Added the ability to use a user supplied fHOG style feature extractor with the scan_fhog_pyramid object. So now you can define your own version of HOG for use with these tools. - The oca solver now supports taking a user supplied prior vector. That is, it lets you use a regularizer like ||w-prior||^2 instead of the usual ||w||^2 regularizer. - Added the structural_track_association_trainer object. It is a structural SVM tool for creating multi-target tracking algorithms. See the learning_to_track_ex.cpp example program for an introduction. - Added the following minor utility functions: nearest_center(), add_image_rotations(), set_aspect_ratio(), and tile_images().

Non-Backwards Compatible Changes: - Refactored the load_image_dataset() routines so they are easier to use and more flexible. This introduces a slight backwards incompatibility in that the version that loads full_object_detection objects now returns an ignore rectangle set instead of a parts name list. Other than that the changes are backwards compatible with previous versions of dlib. - Added a bias term to the assignment_function's model so the user doesn't need to remember, or even understand, that they should add it themselves. However, this change breaks backwards compatibility with the previous serialization format for assignment_function objects.

Bug fixes: - Fixed a number of compile time errors that could occur in rare cases. - The stopping condition for the svr_linear_trainer was too tight, causing it to take an excessive amount of time to converge in some cases. - Disabled use of XIM for X11 windowing since it makes programs hang on some systems. However, this means the wide character input methods won't work on X11 systems anymore. - Fixed a bug in randomize_samples() which caused the outputs to be not as random as they should be. - Fixed dlib's CMakeLists.txt file so that the "use FFTW" option actually causes the build to use FFTW. - Fixed a compile time error that triggered when trying to link with FFTW. - mat() did not work correctly when used with std::vector<bool> objects. This has been fixed.

Other:

New Features: - Object Detection Tools: - Added scan_fhog_pyramid, a tool for creating Histogram of Oriented Gradient (HOG) based object detectors. - Added get_frontal_face_detector(), a HOG based face detector. - Added an option to include "ignore/don't care" truth boxes to the structural_object_detection_trainer. This allows a user to tell the trainer that they don't care if certain objects are detected or not detected. - Image Processing Tools: - Added extract_image_chips() - Added a version of draw_rectangle() for drawing on images. - The spatial filtering routines now support even sized filters. - Added flip_image_dataset_left_right(), upsample_image_dataset(), and rotate_image_dataset(). - Machine Learning Tools: - Added a nuclear norm regularization option to the structural SVM solver. - Added the option to learn only non-negative weights to the svm_multiclass_linear_trainer. - Speed Improvements: - The svm_multiclass_linear_trainer, one_vs_one_trainer, and one_vs_all_trainer objects are now multithreaded. This also means you have to #include dlib/svm_threaded.h instead of dlib/svm.h to use these tools. - A number of image processing tools can now optionally use SSE and AVX instructions and are therefore considerably faster. In particular, the following tools have been accelerated: extract_fhog_features, resize_image, pyramid_down, pyramid_up, spatially_filter_image_separable, and spatially_filter_image. - Added an inv() routine that inverts point transformation functions. - Added a sign() routine for matrix objects.

Non-Backwards Compatible Changes: - The spatial image filtering functions have the following changes: - They no longer zero the image borders when you set the add_to parameter to true. - The spatially_filter_image_separable_down() routine now only allows grayscale output images. - Changed the default parameters of the test_box_overlap object. Now it defaults to using exactly the PASCAL VOC match criterion. - To use the svm_multiclass_linear_trainer, one_vs_one_trainer, or one_vs_all_trainer objects you now have to #include dlib/svm_threaded.h instead of dlib/svm.h. - pyramid_up() no longer has a levels option.

Bug fixes: - Fixed a compile time bug that could occur when wide character strings were serialized. - Fixed a compile time bug occurring in gcc 4.7.1 on SUSE Linux. Thanks to Volker Härtel for finding this. - Fixed compile time errors that occurred when using gcc on cygwin. - Fixed a compile time bug that could occur when serializing mlp objects. - Fixed a bug in the bigint object that caused division to sometimes produce incorrect results. - Fixed a bug which sometimes caused load_image_dataset() to erroneously report that the dataset file could not be found. - Fixed a bug in the structural_object_detection_trainer that caused it to erroneously throw a impossible_labeling_error exception in certain rare cases. - Updated find_max_factor_graph_nmplp() to use the improved version of the algorithm from the 2011 paper Introduction to dual decomposition for inference by David Sontag, Amir Globerson, and Tommi Jaakkola. The original algorithm presented in their 2008 paper had an error that negatively affected its convergence. Thanks to James Gunning for pointing this out.

Other: - Fixed many compiler warnings in gcc 4.8. - Made many of the mat() converters bind the resulting matrix expressions into BLAS functions. - libpng and libjpeg are now included in the dlib/external folder to enable easy static linking to these libraries on platforms that typically don't have them (e.g. Windows). Moreover, dlib's cmake files will automatically perform this static linking when no copy of these libraries is found on the system.
New Features: - Added routines for performing BFGS and L-BFGS optimization with box constraints. See the new find_min_box_constrained() and find_max_box_constrained() routines. - Added vector_normalizer_frobmetric. This is a tool for learning a Mahalanobis distance metric. - The user can now set different loss values for false alarming vs. getting a correct detection when using the structural_sequence_segmentation_trainer. - Added an overload of clamp() that lets you use matrix valued lower/upper bounds. - New image processing tools: - Added the scan_image_custom object, split_array(), and add_image_left_right_flips(). - Added extract_fhog_features(), this is a function for computing Felzenszwalb's 31 channel HOG image representation.

Non-Backwards Compatible Changes: - Refactored the image pyramid code. Now there is just one templated object called pyramid_down and you give it the downsampling amount as a template argument. To make old code work with this change use the following substitutions: change pyramid_down to pyramid_down<2> change pyramid_down_3_2 to pyramid_down<3> change pyramid_down_4_3 to pyramid_down<4> change pyramid_down_5_4 to pyramid_down<5>

Bug fixes:

Other: - Made the structural SVM solver slightly faster. - Moved the python C++ utility headers from tools/python/src into dlib/python. - The PNG loader is now able to load grayscale images with an alpha channel. - Removed checks that prevented users from using references to functions with the optimization code and forced the use of function pointers. This was to avoid triggering a bug in gcc 4.0. Since that compiler is no longer officially supported by dlib I've removed these checks to increase usability. - Made resize_image() use bilinear interpolation by default and also added a special version of it that is optimized for this case. - Dlib's cmake files will now automatically link to the Intel MKL on MS Windows platforms if the MKL is installed.
New Features: - Added Python interfaces to dlib's structural support vector machine solver and Hungarian algorithm implementation. - Added running_cross_covariance - Added order_by_descending_distance() - Added is_finite() - Added the csv IO manipulator that lets you print a matrix in comma separated value format.

Non-Backwards Compatible Changes: - Changed the object detector testing functions to output average precision instead of mean average precision. - Added an option to weight the features from a hashed_feature_image relative to the number of times they occur in an image. I also made it the default behavior to use this relative weighting and changed the serialization format to accommodate this.

Bug fixes: - Fixed typo in learn_platt_scaling(). The method wasn't using the exact prior suggested by Platt's paper. - Fixed a bug in running_scalar_covariance that caused the covariance() and correlation() methods to output the wrong answer if the covariance was negative.

Other: - Gave the image_window the ability to tie the mouse and keyboard events together such that it is possible for a user to listen for both simultaneously. - A number of changes were made to the structural_svm_problem's code which make it significantly faster in some cases. - Added Steven Van Ingelgem's patch to the HTTP server which makes operations on HTTP headers case-insensitive.

New Features: - Machine Learning: - Added the svr_linear_trainer, a tool for solving large scale support vector regression problems. - Added a tool for working with BIO and BILOU style sequence taggers/segmenters. This is the new sequence_segmenter object and its associated structural_sequence_segmentation_trainer object. - Added a python interface to some of the machine learning tools. These include the svm_c_trainer, svm_c_linear_trainer, svm_rank_trainer, and structural_sequence_segmentation_trainer objects as well as the cca() routine. - Added point_transform_projective and find_projective_transform(). - Added a function for numerically integrating arbitrary functions, this is the new integrate_function_adapt_simpson() routine which was contributed by Steve Taylor - Added jet(), a routine for coloring images with the jet color scheme.

Non-Backwards Compatible Changes:

Bug fixes: - Fixed a bug in hysteresis_threshold() that caused it to produce incorrect outputs in some cases. - Fixed a segmentation fault in the eigenvalue_decomposition object which could occur when NaN valued inputs were given.

Other: - Made image saving routines work on matrix objects in addition to array2d objects. - The machine learning page now contains a flow chart to help new users select a machine learning tool appropriate for their task.

New Features: - Object Detection Tools: - Added another image scanning tool similar to scan_image_pyramid. This is the new scan_image_boxes object. It allows a user to easily specify an arbitrary set of object boxes which should be checked by an object detector rather than scanning a fixed sized window over the image as is done by the scan_image_pyramid tool. This allows more flexible scanning strategies. For example, it is now possible to use the selective search method implemented by the new find_candidate_object_locations() routine. - Added the binned_vector_feature_image. - Upgraded the object_detector so that you can use the adjust_threshold argument for all versions of the operator() method. - Added remove_unobtainable_rectangles() - Hashing Tools: - Added a set of new locality sensitive hashing functions meant for use with larger vectors and higher bit sizes than the current LSH tools. These are the new hash_similar_angles_xxx objects. - Added find_k_nearest_neighbors_lsh() and hash_samples() - Added create_max_margin_projection_hash() - New Matrix Routines: linpiece(), fft(), and ifft() - Added numeric constants and additional statistics to the running_stats object. This code was contributed by Steve Taylor. - Added the image_window::get_next_keypress() routine. This tool allows a user to easily find out which keyboard key the user is pressing.

Non-Backwards Compatible Changes: - Changed the object_detector interface slightly. In particular, it no longer adds the adjust_threshold argument to the output scores. - The object detector testing functions now output mean average precision in addition to precision and recall. - Changed how dlib does serialization in a number of ways: - The running_stats and scan_image_pyramid objects have had their serialization format changed in a way that breaks backwards compatibility. This means serialized versions of these objects can't be loaded by the new version of dlib. - Changed the format dlib uses when it serializes floating point values. Previously, we used an ASCII based format. Dlib now uses a much more efficient binary format. However, the deserialization routines have been made backwards compatible with the previous format. So dlib can still deserialize older data but older software won't be able to read the new format. - Changed the serialization formats for the matrix and array2d objects so that either object can be deserialized into the other. This was done in a way that is backwards compatible with previous versions of dlib. That is, we can still load data serialized by previous dlib versions. However, older versions of dlib can't load the new serialization format.

Bug fixes: - Fixed a bug in save_dng() that happened sometimes when saving images with unsigned char pixels. - The test_ranking_function() and cross_validate_ranking_trainer() routines computed incorrect MAP scores when the learned function output a constant value for all samples. This has been fixed.

Other: - Gave load_image_dataset() the ability to skip images that don't have any ground truth boxes. - Changed average_precision() to use interpolated precision. So now it uses the same metric as the one used by the Pascal VOC challenge. - Upgraded the dng image format so it can natively store floating point pixel types without any information loss.

New Features: - Added svd_fast(), a routine for computing a singular value decomposition of very large matrices. - Added cca(), a routine for doing canonical correlation analysis on very large and high-dimensional datasets. - Added tools for creating parallel for loops, see parallel_for(). - Added some features to the image display widgets to let the user easily get information about where the user is clicking. This is the new get_next_double_click() routine. - Added an operator>> for matrix objects which allows you to read in ASCII matrices using the format used by operator<<. - Added serialization support for std::vector<bool>. - Added the following new minor objects and routines: average_precision(), make_sparse_vector_inplace(), orthogonalize(), count_bits(), draw_surf_points(), hamming_distance(), cosine_distance, and negative_dot_product_distance.

Non-Backwards Compatible Changes: - Changed ranking evaluation functions to return the mean average precision in addition to just raw ranking accuracy. This changes their return types from double to matrix<double,1,2>. - Generalized segment_image() so it works on any pixel type or array of vectors. I also changed its interface slightly. In particular, I removed the min_diff parameter and replaced it with an explicit min_size parameter. - Changed how the SURF descriptor is computed slightly to improve its accuracy. The interface to the user has not been changed, however, the number and position of detected SURF points might be different than in previous dlib versions.

Bug fixes: - Fixed an endianness bug in the PNG I/O functions which occurred when 16bit grayscale PNGs were used. - Fixed a bug which could potentially occur when empty std::vector<char> or std::vector<unsigned char> were serialized. - There was a bug in the version of draw_line() that draws directly onto an array2d type image (not the one that draws onto a GUI canvas object). The bug triggered whenever a perfectly horizontal or vertical line that extended outside the image was drawn. This has been fixed. - Fixed a bug in the Windows implementation of the signaler object, which was found by Isaac Peterson. The bug caused the program to deadlock if signal() or broadcast() was called at exactly the same time a wait_or_timeout() function timed out. - Fixed a bug in the image_window and image_display GUI tools which caused them to not redraw overlay lines correctly in certain cases involving non-default zoom levels. - Switched randomly_color_image() to use the non-pointer based version of murmur_hash3() to avoid violation of the strict aliasing rule. In particular, the previous version didn't work correctly in gcc 4.7.2 when optimizations were enabled. - Visual Studio 2012's iostreams library has a bug which caused the iosockstream to crash on use. This version of dlib has been changed to avoid triggering this bug.

Other: - Refactored the Platt scaling code a little. Now there is a function, learn_platt_scaling(), that allows you to directly call the Platt scaling code without supplying a trainer object. - Optimized the oca and structural SVM solvers. They are now a little bit faster than in previous dlib releases.

New Features: - Machine Learning - Added svm_rank_trainer, an optimized implementation of the SVM-Rank algorithm. - Added rank_unlabeled_training_samples(), an implementation of the SVM Active Learning algorithm. - Added svm_c_linear_dcd_trainer, a warm-startable SVM solver using the dual coordinate descent algorithm used by liblinear. - Added the ability to force the last element of a weight vector to 1 to the following objects: svm_c_linear_trainer, svm_c_linear_dcd_trainer, svm_rank_trainer, and oca. - Added the ability to learn non-negative weight vectors to the structural_sequence_labeling_trainer object. - Networking - Added an iosockstream object. - Added a method to the server object that lets a user set the graceful close timeout time to something other than the default of 500ms. - Linear Algebra - Added the gaussian_randm() function. - Added the find_affine_transform() function. - Added the mat() function. It combines the array_to_matrix(), vector_to_matrix(), pointer_to_column_vector(), and pointer_to_matrix() methods all into one convenient interface. mat() also works for Armadillo and Eigen matrices. - Added STL style begin() and end() methods to matrix and matrix_exp. - Added an overload of sparse_matrix_vector_multiply() that multiplies a dense matrix with a sparse vector. - Made toMat() work with the matrix object in addition to array2d style images. - Graphical User Interface Tools - Added draw_solid_convex_polygon(). - Added an overload of draw_image() that's useful for drawing images and doing interpolation at the same time. - Added the on_view_changed() callback to zoomable_region and scrollable_region widgets. - Added parse_trees_to_string() and parse_trees_to_string_tagged(). - Added lambda function support to the timeout object. - Added the vectorstream object. - Added the parse_xml() routines. - Added a group name feature to the command line parser. Now it is possible to make print_options() print related options in named groups. - Added the following new hashing functions: murmur_hash3_128bit_3(), murmur_hash3_2(), murmur_hash3_3(), uniform_random_hash(), gaussian_random_hash() as well as hash() overloads for uint32, uint64, and std::pair.

Non-Backwards Compatible Changes: - Made the svm_c_linear_trainer use the risk gap to decide when to stop. This was done because it is how all the other OCA based SVM tools in dlib decide when to stop. However, it might cause the outputs to be slightly different in this version of dlib. - It is now illegal to call unlock() on a mutex when the mutex is not owned by the calling thread. The most likely reason for doing this was to unlock early in an area locked by an auto_mutex. Old code that does this can be fixed by calling auto_mutex's unlock() function instead. - Removed the structural_assignment_trainer::learns_nonnegative_weights() routine and moved its functionality into the feature extraction interface used by this object.

Bug fixes: - Fixed a bug in find_max_factor_graph_nmplp() which caused it to not work properly on some compilers. - Fixed a bug pointed out by Joel Nelson in the version of md5() that took an istream. The bug caused the function to crash on strings longer than 56 characters.

Other: - dlib now has an excellent new logo thanks to Yasser Asmi. - Added a new documentation page for the various linear algebra tools. - The following objects were turned into single implementation components: sockstreambuf, timeout, member_function_pointer, xml_parser, linker, bound_function_pointer, and timer.

New Features: - Machine Learning - Added the ability to learn non-negative weight vectors to the structural_assignment_trainer object. - Added two new graph clustering algorithms: Chinese Whispers and Newman's modularity clustering. - Added a number of new graph manipulation tools: sparse_matrix_vector_multiply(), is_ordered_by_index(), find_neighbor_ranges(), convert_unordered_to_ordered(), remove_duplicate_edges(), and the ordered_sample_pair object. - Networking - Added a set of tools for creating applications using the Bulk Synchronous Parallel computing model. See the new bsp_ex.cpp example program for an introduction. - Added a routine that lets a user disable Nagle's algorithm on a TCP connection. - Added an asynchronous start routine to the server object. This is the new start_async() method. - Added the network_address object. - Added connect_to() to the bridge interface. - Added find_max_parse_cky(), a method implementing the well known CKY algorithm for parsing probabilistic context free grammars. - Added the ability to label parts of objects with the mouse to the image_display widget. - Added the ability to put overlay circles and full_object_detections into the image_window widget. - Added a stddev() for matrix objects. - Added operator+() for running_stats and running_scalar_covariance. - Added an overload of murmur_hash3_128bit() that takes 4 integers instead of a block of memory. - Added rand::get_random_64bit_number().

Non-Backwards Compatible Changes: - Changed the image_dataset_metadata XML reading tools to use a map of strings to points to represent object parts. This change removes the old head point from a box since this information can now be represented in the parts map. - The syntax for passing order_by_distance and order_by_index to std::sort() is now slightly different since these functions are now templates. However, this change allows them to work on any kind of sample_pair or ordered_sample_pair object. - The default distance value of a sample_pair is now initialized to 1 instead of infinity.

Bug fixes: - Added a patch, contributed by Martin Müllenhaupt, to fix a minor bug in the SQLite bindings. - Fixed a typo which would prevent code that called running_stats::max_n() from compiling.

Other: - Added a new documentation page for the various graph tools in dlib. - Added support for Visual Studio 2012. - Switched the sample_pair object to use double to store its distance value instead of float. - Added William Sobel's patch to the web server that improves its flexibility and security. - Changed the server object so you don't have to use the server::kernel_1a syntax to declare it anymore. Now you just say server, server_iostream, or server_http depending on which one you want. - Changed the cmd_line_parser so you don't have to use the ::kernel_1a syntax anymore. Now it is declared like a normal single implementation object. - Set the default max number of connections a server will accept at a time to 1000 rather than the previous default of infinity.

New Features: - Added more overloads of find_max_factor_graph_potts() to make applying it over a Markov random field of image pixels really simple. - Added overloads of serialize()/deserialize() so that they can serialize Google protocol buffer objects. - Image Processing: - Added find_points_above_thresh() - Added max_filter() - Added scan_image_movable_parts() - Added sum_filter_assign() - Added the full_object_detection object. - Added the ability to model objects with movable parts into the scan_image_pyramid object. This update also includes all the needed tools to train movable part models using the structural_object_detection_trainer. - Machine Learning: - Added a per node loss option to the structural_svm_graph_labeling_problem's interface. - Added Emanuele Cesena's implementation of Sammon's nonlinear dimensionality reduction method.

Non-Backwards Compatible Changes: - To support movable part models, the serialization format of scan_image_pyramid objects was modified. This breaks backwards compatibility with the previous format for scan_image_pyramid objects as well as object_detector instances that use the scan_image_pyramid.

Bug fixes: - Fixed a bug in auto_threshold_image() that caused it to give bad outputs when used with very large images.

Other: - Updated find_max_factor_graph_potts() to correctly say you can use infinite weights for the factor_value_disagreement() values since the code actually supports this. - Made integer serialization about 3 times faster.

New Features: - Improvements to linear algebra tools: - Added the lowerbound() and upperbound() routines for thresholding dense matrices. - Refined the tools for working with sparse vectors. In particular, the following functions were added: min(), max(), make_sparse_vector(), add(), and subtract(). A number of existing routines were also updated to work with both sparse and dense vectors so that templated code which works on both vector types is simpler to write. - Added the += and -= operators to the set_subm(), set_rowm(), and set_colm() tools for operating on submatrices. - Optimization: - Added a new quadratic program solver, solve_qp4_using_smo(). This new solver is useful for solving quadratic programs corresponding to non-negative constrained primal quadratic programs. - Added an optional non-negativity constraint to the oca optimizer. - Added the min_cut object. It provides a method to find the minimum weight cut on a graph. - Added tools for finding the maximum probability assignment in a Potts style Markov random field. See the find_max_factor_graph_potts() routine for details. - Machine Learning: - Added structural SVM tools for learning the parameters of a Potts style Markov random field. See the structural_graph_labeling_trainer and graph_labeler objects as well as their associated example program for details. - Added the ability to learn only non-negative weights to the svm_c_linear_trainer. - Improved Integration with OpenCV: - Updated the cv_image object so it works with cv::Mat as well as IplImage. - Added the toMat() routine for converting from a dlib style image to an OpenCV cv::Mat image.

Non-Backwards Compatible Changes: - Removed the dlib::sparse_vector namespace. Everything from this namespace was moved into the normal dlib:: namespace so that code which works with both sparse and dense vectors is more cohesive.

Bug fixes: - Fixed a bug in find_max_factor_graph_viterbi() which sometimes occurred when the model order was larger than the number of variables. - Fixed a bug which caused a compiler error if you tried to call dot() on two 1x1 matrices which were statically dimensioned.

Other: - Improved existing documentation: added pictures of the gui widgets, added documentation of the dlib::bridge protocol, and other minor usability improvements.
New Features: - Image Processing: - Added the option to make the features generated by poly_image rotationally invariant. - Added a set of routines for warping, scaling, and resizing images. See the new "Scaling and Rotating" section of the image processing documentation for details. - Added the heatmap() routine for converting an image into a heatmap. - Machine Learning - Updated the sequence labeling trainer to allow the user to set different loss values for different labels. - Added the rls object. It is an implementation of the linear recursive least squares algorithm. - Added the get_option() routines which slightly simplify option parsing from the command line and config files. - Added the 128bit version of Murmur hash. - Added the kalman_filter and rls_filter objects. These are tools for performing Kalman filtering and recursive least squares filtering. - Added the circular_buffer object.

Non-Backwards Compatible Changes: - The poly_image generates slightly different features in this new release. Therefore, classifiers trained using the previous version will need to be retrained if they are switched to the new version of poly_image. - Changed the xcorr() functions so they take the complex conjugate of the right hand arguments if they are complex numbers. This way they do a proper cross-correlation and also mirror the behavior of MATLAB. However, this breaks backwards compatibility with the previous behavior of xcorr(). - Previously, dlib included two versions of dlib::array. However, to simplify the user interface, dlib now includes only the contiguous memory implementation of dlib::array. This change should only affect you if you wrote code which assumed dlib::array::set_max_size() only allocated a small amount of RAM. The new behavior is similar to the std::vector::reserve() routine. That is, dlib::array::set_max_size() will allocate the requested amount of memory immediately.

Bug fixes: - Fixed a bug which caused certain matrix expressions to not compile when the BLAS bindings were enabled. In particular, expressions which involved a 1x1 matrix sometimes didn't compile.

Other: - Made the matrix routines min(), max(), sum() and mean() work with complex numbers. - Turned the array object into a single implementation object. Now arrays can be created using the normal array<type> obj; syntax. Additionally, all extensions were merged into the array object. - Added an example program which better documents how to create training data for the object detection tools as well as how this data can be used. See the train_object_detector.cpp example for details.

New Features: - Added tools for timing blocks of code - Machine Learning - Added a set of tools for learning to solve the assignment problem. See the structural_assignment_trainer and its associated example program for an introduction. - Added random projection based locality sensitive hashing tools. - Added tools to simplify the creation of scan_image_pyramid objects. See the object_detector_ex.cpp example program for details. - Image Processing - Added sum_filter() and spatially_filter_image_separable_down() - New feature extractors: poly_image, nearest_neighbor_feature_image, and fine_hog_image

Non-Backwards Compatible Changes: - Changed the serialization format for rand objects. - Changed the order of arguments for the sequence_labeler's constructor. - Object Detection Changes - Some parts of the object detection tools have been refactored. In particular, the interfaces of the scan_image_pyramid and structural_object_detection_trainer have been changed slightly to improve usability. - Made the test_box_overlap a little more flexible. This change breaks backwards compatibility with the previous version though. - The hashed_feature_image object has been made more general. It now uses a user supplied hashing function rather than its own hashing implementation. - Removed constness from the operator() member functions of the object_detector. - Fixed improper normalization in the gaussian() functions. The normalization constant was being computed incorrectly. - Sequence labeling feature extractors must now define a sequence_type typedef instead of sample_type. This change allows the user to use any type of sequence, not just std::vector objects.

Bug fixes: - Changed the add_probability() method of joint_probability_table so it does a saturating add rather than a normal add. This ensures the probability value stays exactly <= 1. Previously, floating point rounding error could cause it to be slightly above 1 and would therefore cause some asserts to misfire during debugging mode. - The object_detector had code in it which limited the number of outputs to 100 rectangles. This has been removed. - Fixed improper normalization in the gaussian() functions. The normalization constant was being computed incorrectly.

Other: - dlib::rand can now generate Gaussian random numbers. - The structural_object_detection_trainer will now automatically setup appropriate non-max suppression parameters if the user doesn't supply them. - The structural_object_detection_trainer has been optimized and now runs significantly faster than in previous dlib releases. - The tools folder containing htmlify, imglab, and mltool is now included in the dlib release archive files. Previously, these tools were only available directly from source control.

New Features: - Machine Learning - Added the histogram intersection kernel for sparse and dense vectors. - Added a set of tools to allow a user to easily learn to do sequence labeling using dlib's structural SVM implementation. See the new sequence_labeler object and its associated example program for an introduction. - Image processing: - Added segment_image() - Added randomly_color_image() - Added the border_enumerator - Added the disjoint_subsets object, it is an implementation of the union-find algorithm/disjoint-set data structure. - Added new matrix routines: conv(), conv_same(), conv_valid(), xcorr(), xcorr_same(), xcorr_valid(), and flip().

Non-Backwards Compatible Changes: - Changed find_max_factor_graph_viterbi() so you can use run-time defined order and num_states parameters.

Bug fixes: - The last dlib release added a max_iterations parameter to the svm_c_linear_trainer and svm_c_ekm_trainer objects. However, there was a bug which made them only do at most 16 iterations, which is too few to solve many problems. This has been fixed. - Fixed a bug in is_const_type. It didn't work for reference types. - Fixed a bug in the SQLite binding routine statement::get_column_as_text(). It didn't work correctly if the column contained a NULL. - Fixed a bug in find_max_factor_graph_viterbi() which occurred when a zero order model had negative factor values.

Other:

New Features: - Two new routines for performing MAP inference in factor graphs: - For chain-structured graphs: find_max_factor_graph_viterbi() - For general graphs: find_max_factor_graph_nmplp() - Image Processing - Added more tools for creating image pyramids. See pyramid_down_5_4, pyramid_down_4_3, and pyramid_down_3_2. - Added more image filtering and morphology functions. - Added a set of tools for creating sliding window classifiers: - Added the scan_image() routine. It is a tool for sliding a set of rectangles over an image space and finding the locations where the sum of pixels in the rectangles exceeds a threshold. Also added scan_image_pyramid, which is a tool for running scan_image() over an image pyramid. - Added the structural_object_detection_trainer. This is a tool which formulates the sliding window classifier learning problem as an instance of structural SVM learning. - Added a variety of supporting tools and two object detection example programs. - Added the following functions for computing statistics on vectors: mean_sign_agreement(), correlation(), covariance(), r_squared(), and mean_squared_error() - Added a C++ wrapper for SQLite (see the new database and statement objects)

Non-Backwards Compatible Changes: - Changed the interface to the ridge regression trainer objects so that they report the entire set of leave-one-out prediction values rather than a summary statistic like mean squared error. - Changed the serialization routine for bgr_pixels to store the pixels in BGR order rather than RGB. - Changed the interface for the spatially_filter_image() routine to take the filter as a matrix rather than C-array. Also, now it won't force signed pixel values to 0 if they go negative. - Changed the test_regression_function() and cross_validate_regression_trainer() routines so they return both the MSE and R-squared values rather than just the MSE. - Changed suppress_non_maximum_edges() to use the L2 norm instead of L1 norm for measuring the strength of an edge since this produces a slightly better result.

Bug fixes: - The image_display didn't display overlay rectangles quite right. If you zoomed in you could see that some of the pixels which are inside the rectangle were outside the overlay. Specifically, the right column and bottom row was outside the overlay rectangle. This has been fixed. Now all pixels which are supposed to be part of a rectangle are drawn as being inside the overlay rectangle. - Fixed a bug pointed out by Martin Müllenhaupt which caused the windows socket code to not compile when used with the mingw-cross-env project. - Fixed a bug in the png_loader. If you loaded an image with an alpha channel into something without an alpha channel there were uninitialized values being alpha blended into the image. - Fixed a bug in the cpp_tokenizer that only shows up on newer versions of gcc. It wasn't tokenizing double quoted strings right. - Fixed a bug in spatially_filter_image() which showed up when using non-square filters. The bug would cause the edges of the output image to be incorrect. - Fixed a bug in the matrix class. Expressions of the form mat *= mat(0) would evaluate incorrectly because the *= operator took the right hand side by reference and thus experienced an aliasing problem. The other op= operators had similar problems and have also been fixed. - Fixed a bug pointed out by Justin Solomon which could cause the svr_trainer and svm_c_trainer to produce incorrect results in certain unusual cases.

Other: - Added a more complete set of methods for converting between image space and the downsampled hog grid used by hog_image. Now you can convert from image to hog in addition to hog to image. - Made the integral_image more general by making it templated on the type of scalar used to store the sums.

New Features: - Added the check_sub_option() method to the command line parser check object. - Added match_endings to the dir_nav utils. - Added a set_current_dir() function. - Added the distance_to_rect_edge() routine. - Added support for user drawn rectangle overlays and selectable overlays to the image_display widget.

Non-Backwards Compatible Changes:

Bug fixes: - Fixed a bug in the image_display widget. If you switched it between images of a different size while any kind of zoom was in effect it could cause a segmentation fault.

Other:

New Features: - You can now add tasks to a thread_pool by value, using the new add_task_by_value() method.

Non-Backwards Compatible Changes:

Bug fixes: - Fixed a bug which caused multiply defined symbol errors during linking if the PNG saving routine was #included.

Other: - Optimized the threaded and distributed structural svm solvers for the case where there are many data samples and the separation oracle is quick to evaluate.

New Features: - Added a function for saving to the PNG image format. - Added Austin Appleby's excellent MurmurHash3 hashing code and setup some additional convenience functions. These functions are murmur_hash3() and various overloads of hash().

Non-Backwards Compatible Changes: - Made get_pixel_intensity() more efficient. However, the value returned is slightly different than it used to be for RGB pixel types.

Bug fixes: - Setup proper error handling for libpng in the png_loader. Now if the PNG file is corrupted in the middle it won't just print a message and abort the program. - Fixed a bug in assign_pixel_intensity() that happened when the target pixel was an RGB pixel with an alpha channel.

Other: - Added a Frequently Asked Questions page - Changed the array2d object so you don't have to say array2d<type>::kernel_1a anymore to declare it. Now you just say array2d<type>.

New Features: - Added tools for distributing the work involved in solving a structured SVM problem over many computers and CPUs. - Added the bridge. It allows a dlib::pipe to be used for networked communication.

Non-Backwards Compatible Changes: - Removed the DLIB_REVISION macro and replaced it with DLIB_MAJOR_VERSION and DLIB_MINOR_VERSION.

Bug fixes:

Other: - dlib's version control system has switched from Subversion to Mercurial.

New Features: - Added the max_sum_submatrix() function to the optimization tools. - Upgraded the pyramid_down function object so it can create color pyramids. Also, added some functions which define the coordinate transforms between different layers in an image pyramid.

Non-Backwards Compatible Changes: - Changed the oca_problem interface to the oca optimizer. Now the optimization_status() function reports back the current risk and risk gap in addition to the overall objective value and objective gap. - Changed the stopping condition for the structured svm to the one suggested by the Joachims paper. Now it stops when the risk gap is below a user supplied epsilon.

Bug fixes:

Other: - Various usability improvements. - Improved the feature vector caching in the structural_svm_problem object. - Some objects were setup as multi-implementation objects but only had one implementation. I went through dlib and switched these to single implementation objects. So for example, to use the dlib crc32 module you used to declare an object of type "crc32::kernel_1a" but now you can just say "crc32". Note that I did this change in a way that maintains backwards compatibility with previous versions. So crc32::kernel_1a is still allowed but that form is officially deprecated. The modified objects are as follows: - base64 - byte_orderer - config_reader - crc32 - pipe - rand

New Features: - Added a multiclass support vector machine. - Added a tool for solving the optimization problem associated with structural support vector machines. - Added new functions for dealing with sparse vectors: add_to(), subtract_from(), max_index_plus_one(), fix_nonzero_indexing(), a more flexible dot(), and I renamed assign_dense_to_sparse() to assign() and made it more flexible.

Non-Backwards Compatible Changes: - Renamed max_index_value_plus_one() (a function for working with graphs) to max_index_plus_one() so that it uses the same name as the essentially identical function for working with sparse vectors. - I simplified the cross_validate_multiclass_trainer(), cross_validate_trainer(), test_binary_decision_function(), and test_multiclass_decision_function() routines. They now always return double matrices regardless of any other consideration. This only breaks previous code if you had been assigning the result into a float or long double matrix. - Renamed assign_dense_to_sparse() to assign()

Bug fixes: - Fixed a bug in load_libsvm_formatted_data(). I had forgotten to clear the contents of the labels output vector before adding the loaded label data. - Fixed a bug in the kernel_matrix() function. It didn't compile when used with sparse samples which were of type std::vector<std::pair<> >. Moreover, some of the trainers have a dependency on kernel_matrix() so this fix makes those trainers also work with this kind of sparse sample.

Other: - Added a value_type typedef to matrix_exp so it's easier to write templates which operate on STL containers and matrix objects.
New Features: - Added an implementation of the Hungarian algorithm for solving the optimal assignment problem (in the new max_cost_assignment() routine).

Non-Backwards Compatible Changes:

Bug fixes: - Fixed a problem which prevented the any_function unit test from compiling in visual studio 2008.

Other: - Changed the oca optimizer so that it warm starts the QP subproblem rather than resolving it from scratch during each iteration. This improves the speed and stability of the algorithm.
New Features: - Added the rr_trainer. It is a version of krr_trainer which is optimized for use with the linear_kernel. - Added the approximate_distance_function() routine. It is the core optimizer behind the reduced2() trainer adapter. - Added an any_function which supports the same functionality as std::function from the upcoming C++0x standard. I added this so dlib can be modified to easily support lambda functions while still being compilable with compilers which don't support the new std::function. - Added overloads of all the GUI event handlers so you can use general functions as callbacks (via any_function). This way, if you have a C++0x compiler, you can use lambda functions with the event handlers. - Added the split() function for splitting up strings.

Non-Backwards Compatible Changes: - Improved the distance_function object by turning it into a properly encapsulated class rather than just a simple struct. I also added overloaded +, -, *, and / operators for this object so you can do the kind of arithmetic you would expect on an object which represents a point in a vector space. This breaks backwards compatibility with the previous interface though as the member variables are now private.

Bug fixes: - Fixed a compile-time error in the kernel_matrix(). - Fixed a bug in an assert in the spatially_filter_image() function. - Applied a patch from Nils Labugt which fixes a runtime bug in the gui_core component. The bug caused a crash when using X11 and Ubuntu 10.10 in certain cases. - Updated code so that it compiles with the clang compiler.

Other: - Updated the image_display widget so you can zoom in and out using the mouse wheel.
New Features: - General Stuff - Added the promote template - Added the basic_type template - Added the assign_image_scaled() function - Added the unordered_pair object. - Added the symmetric_matrix_cache() function - Added two new quadratic program solvers. The solve_qp2_using_smo and solve_qp3_using_smo objects.

- Machine Learning Stuff - Added the svm_c_trainer object. It implements C-SVM classification and allows the user to set different C values for each class. - Added the svm_one_class_trainer object. - Added the svr_trainer object. It implements epsilon-insensitive support vector regression. - Added two new any objects. The any_decision_function for containing decision function style objects and the any_trainer for trainers. - Added cross_validate_regression_trainer() - Added test_regression_function() - Added the probabilistic() function. It is a trainer adapter that simply calls train_probabilistic_decision_function(). - Added tools for multiclass classification - Added one_vs_one_trainer - Added one_vs_all_trainer - Added cross_validate_multiclass_trainer() - Added test_multiclass_decision_function()

Non-Backwards Compatible Changes: - invalid_svm_nu_error has been renamed to invalid_nu_error. - Changed the pixel_traits so that signed grayscale pixel types are allowed. This involved adding a few new fields to pixel_traits. I also changed the get_pixel_intensity() function so that its return value is of the same type as the basic pixel type rather than always being unsigned long. - Removed the kernel_type typedef from the normalized function since this meta-object should be capable of working with non-kernel decision functions. - train_probabilistic_decision_function() no longer accepts column vectors of samples and labels. Now it only accepts std::vectors of samples and labels.

Bug fixes: - Fixed a bug in the deserialization code for the sparse kernels. The bug prevented code which used the deserialize() routine from compiling.

Other: - Changed the image display GUI widgets to use the assign_image_scaled() function internally. Now they will accept just about any image and do the right thing. - Modified the type_safe_union so that you can call apply_to_contents() on const type_safe_unions. - Added serialization support for std::pair objects. - Made the train_probabilistic_decision_function() more general by making it work with any kind of trainer object rather than only ones which produce dlib::decision_function objects. I also made it work with trainers that only take std::vectors. - Added overloads to the config_reader's methods to allow it to load directly from a file name given as a string in addition to taking istream objects.
New Features: - Added the ability to add/subtract scalar values to/from all the elements of a matrix using the - and + operators. - Added a trust region optimizer. - Added Levenberg-Marquardt and LM/quasi-newton hybrid methods for solving non-linear least squares problems. - Added an any container object.

Non-Backwards Compatible Changes:

Bug fixes: - Fixed a compiler warning and also a runtime bug in sort_basis_vectors(). The bug triggered when all the basis vectors were included in the final answer.

Other: - Added a bunch of overloads to catch operations on diagonal matrices and use more efficient code paths for them. For example, inv(diagm(d)) turns into diagm(reciprocal(d)). Multiplication by a diagonal matrix is now also handled efficiently.

New Features: - Added a class for reading JPEG image files. - Added scale_rows(), flipud() and fliplr() matrix functions. - Added console_progress_indicator. It is a tool for measuring how long a task will take. - Added sort_basis_vectors(). It is a function for performing supervised basis selection.

Non-Backwards Compatible Changes: - Renamed the linearly_independent_subset_finder's dictionary_size() member function to size(). This way, linearly_independent_subset_finder objects can be used in many templated functions which expect objects which look like arrays.

Bug fixes: - Changed the assert macros so that they don't use __PRETTY_FUNCTION__ with gcc 4.4.5 since, on Ubuntu at least, this version of gcc segfaults when __PRETTY_FUNCTION__ is used within certain template constructs. - Improved the alias detection capability of kernel_matrix() expressions. Now statements of the form: sample = kernel_matrix(kern, *, sample) can be used since the aliasing of sample will be handled.

Other: - Generally tried to make things more usable. - Optimized matrix expressions such as mat*diagm(vect) - Made the code in chol() more robust to indefinite matrices.

New Features: - Added the running_scalar_covariance object. - All the matrix decomposition routines now use LAPACK when DLIB_USE_LAPACK is #defined.

Non-Backwards Compatible Changes: - Removed the dlib::EOTHER constant since it conflicts with visual studio 2010. - Changed the svd functions so you can't supply output matrices which use both column and row major layouts. Now all the output matrices need to use the same memory layout. - Removed the qr_decomposition::get_householder() function.

Bug fixes: - Minor fixes so that dlib compiles in Visual Studio 2010

Other: - Added an overloaded matrix_assign() that handles symmetric kernel_matrix() expressions more efficiently by only evaluating the upper triangular part of the matrix.

New Features:

Non-Backwards Compatible Changes:

Bug fixes: - Fixed a compile-time bug in the matrix related to multiplication by subm() expressions when the BLAS bindings were enabled. - Fixed a bug in train_probabilistic_decision_function() which could cause it to go into an infinite loop when working with very large datasets.

Other:

New Features: - Added a reference_wrapper implementation and modified the thread_function slightly so it works with it. - Added an implementation of kernel ridge regression. - Added a simple newton search strategy for optimizing functions.

Non-Backwards Compatible Changes: - If you have created your own matrix expressions then its possible this new release will cause them to not compile.

Bug fixes: - Fixed a bug in scale_columns. It said it didn't have any destructive aliasing when in fact it destructively aliased its second argument. - Fixed a bug in the random number generator where setting the seed back to "" didn't result in the object going back to its initial state.

Other: - Reorganized the matrix expression code. It's now much simpler and the library includes a new example program which details the steps needed to create new matrix expressions. - Changed the train_probabilistic_decision_function() routine so that it uses a more numerically stable method to perform its maximum likelihood optimization. - Added missing get/set epsilon functions to the RVM training objects. I also changed the default epsilon from 0.0005 to 0.001.
New Features: - Added the simplify_linear_decision_function() routines. - Added the find_approximate_k_nearest_neighbors() function. - Added the fill_lisf() function.

Non-Backwards Compatible Changes: - Made the sample_pair have a default distance of infinity instead of the max floating point value. I also reworked the graph creation functions to make them a little more versatile. Now you can use infinite distances to indicate that certain nodes are not connected at all. - Changed the linear_manifold_regularizer to normalize the regularization parameter by the sum of edge weights instead of the sum of edges.

Bug fixes: - Fixed a bug in the timer_kernel_2 object. In certain rare cases it would stop calling the action function and essentially shut down without being told to do so.

Other: - Made the reduced() and reduced2() functions more efficient. - Many small usability improvements here and there.

New Features: - Added the svm_c_ekm_trainer. It is a kernelized version of the fast linear trainer svm_c_linear_trainer. - Added the linear_manifold_regularizer and some supporting tools. - Added the sum_rows(), sum_cols(), join_rows(), join_cols(), reshape(), and pointer_to_matrix() functions. - Added the randomly_subsample() function.

Non-Backwards Compatible Changes:

Bug fixes: - Fixed some minor compile time bugs on certain older compilers.

Other: - Updated the += and -= matrix operators to be a little more flexible. Now if you try to apply them to a matrix of the wrong size it will automatically resize the target matrix and just do a normal assignment. - Removed the requirement that you load dng files into an image of the exact pixel type that created the file. Now you can use any pixel type. I also changed the code so that grayscale pixels with more than 16 bits get saved as 16 bit grayscale images instead of 8 bit images.

New Features: - Added the solve_qp_using_smo() function to solve certain quadratic programs. - Added the oca object. It is an implementation of the Optimized Cutting Plane Algorithm. - Added a linear SVM trainer that uses oca. - Added an implementation of the Histogram of Oriented Gradients algorithm - Added a simple tool for making image pyramids - Added the running_covariance object - Added a simple linear (i.e. non-kernelized) kmeans implementation - Added support for serializing dlib::int64 - Added some functions to load and save LIBSVM formatted data files.

Non-Backwards Compatible Changes: - Changed the definition of dlib's sparse vector format to require unsigned integral keys. Having this requirement is nice because it creates a simple correspondence between dense vector index values and sparse vector keys. The previous sparse vector definition was excessively generic. - Renamed sparse_vector::dot_product() to sparse_vector::dot() so that both dense and sparse vectors have a global function with the same name (i.e. dot()).

Bug fixes: - Fixed a bug discovered by Mitchell Peabody. In some instances trying to deserialize a std::vector would fail to compile.

Other: - Increased the number of template arguments of the type_safe_union from 10 to 20. Additionally, I made the get_id() function public and renamed it to get_type_id(). I also added a comment explaining the serialization format of type_safe_union objects. - Moved the optimization algorithms into their own page in the documentation. - Added a Suggested Books page to the documentation

New Features: - Added the ability to compute transformation matrices that map between the representations used by different empirical_kernel_maps. Also added the ability to compute projection error. - Added the random_subset_selector object. - Added the compute_mean_squared_distance() function.

Non-Backwards Compatible Changes: - Modified the logger's hook implementation so that it uses a special stream buffer instead of an std::ostringstream. This way logging doesn't cause memory allocations. This breaks backwards compatibility with the previous hook function API but only slightly. The new hook functions must take a const char* instead of std::string. - Added the const_ret_type typedef to the matrix_exp. It is now required that all matrix expressions define this type. This enables the expressions to return elements by constant reference when appropriate rather than always returning by value.

Bug fixes: - Fixed a bug in the matrix BLAS bindings that caused BLAS to return an invalid argument error. The error occurred when general matrix multiply expressions were transposed and didn't result in a square matrix. E.g. mat = trans(a*b) where mat isn't square. - Fixed potential compile time bugs in the comparison operators for futures. - Added a missing check for division by zero in the SURF feature extractor. - Modified the find_min_single_variable() function so that it is more robust when working with functions that are made up of a bunch of constant value strips. Previously, these kinds of functions could cause the optimization to fail.

Other: - Changed the regression test suite so that when it sets the logging level it now sets it for all loggers. Not just ones that start with "test."

New Features: - Added some MATLAB style thresholding relational operators to the matrix. - Added the kernel_matrix() functions. - Added the empirical_kernel_map object. - Added the discriminant_pca object. - Added the read_write_mutex object.

Non-Backwards Compatible Changes: - Renamed the support_vectors member of the decision_function and distance_function classes to basis_vectors. This name more appropriately reflects how these two classes are used within the library. - Changed the matrix_exp interface slightly. This could only impact users who created their own custom matrix expressions. If you don't get a compiler error then you don't have to worry about it.

Bug fixes: - Fixed a minor error in the LBFGS code. - Added a missing check for division by zero to the kcentroid, krls, and linearly_independent_subset_finder classes. If someone added the zero vector to them as the first training example a division by zero could result. - There were a few cases where the code wouldn't compile when using matrices of complex numbers. There was also a runtime bug that triggered when a rank 1 update was performed where one of the vectors was conjugated and two or more transposes were used in certain positions. This bug caused the wrong output to be computed if the BLAS bindings were used. Both of these bugs have been fixed. - Fixed a bug in the http server that affected cookies with certain kinds of data. The result was invalid data being sent back to the web browser.

Other: - Generally improved the BLAS bindings for the matrix object.

New Features: - Added the pointer_to_column_vector function. - Added the BOBYQA algorithm for derivative-free optimization. - Added some functions to make it easy to do a line search on a function of a single variable when derivatives are not available.

Non-Backwards Compatible Changes:

Bug fixes: - Fixed a bug in the cpp pretty printer. It wasn't parsing exponentiated numbers like 1e100 correctly.

Other: - Added a model selection example program using grid search and the new BOBYQA algorithm.

New Features: - Added an implementation of the L-BFGS algorithm for unconstrained non-linear optimization.

Non-Backwards Compatible Changes: - Refactored the optimization code. It is now much more flexible but this resulted in changes to the API. See the optimization example program for a discussion of the new API.

Bug fixes: - Fixed a bug in the get_filesystem_roots() roots function that prevented it from compiling.

Other:

New Features: - Added the ability to use a kernel cache to the batch_trainer object. - svm_pegasos can now be configured to use two different lambda arguments for use with unbalanced data. - Added the reciprocal_max() and dot() matrix functions. - Added the bgr_pixel and cv_image objects so that OpenCV images can be easily used with dlib routines.

Non-Backwards Compatible Changes: - I changed the batch trainers so that they always call clear() on the trainer being used before training begins. - Modified the svm_pegasos class so that the user can set independent lambda parameters for each class. This breaks backwards compatibility with the previous interface slightly and changes the serialization format of this class. - Split the vector_normalizer into a normal normalizer and a pca normalizer version. - The zoomable_region widget now uses exponential rather than linear zoom scaling since this is much more pleasing to use. There is now a new requirement on the zoom increment that it must be between 0 and 1.

Bug fixes: - Fixed a bug in the cross_validate_trainer_threaded() function. It could deadlock if more than about 10 folds were requested. - Fixed the serialization functions for the normalized_function object. They will now work with custom normalizer function objects. - Fixed a minor bug in the zoomable_region::set_min_zoom_scale() function. It didn't always end up zooming in a smooth sensible manner after this function was called.

Other: - Made the thread_function object more general. It can now handle arbitrary functions of up to four arguments.

New Features: - Added the reshape_to_column_vector() function. - Added a hook to the logger object that lets you set a different kind of output logging destination (in addition to the std::ostream supported already). - Upgraded the scoped_ptr so that it can handle array pointers as well as customer deleter functions. - Added overloads of the kernel_derivative object for all the kernels in dlib.

Non-Backwards Compatible Changes: - Reworked the config_reader interface a little to make it easier to use. In particular, I removed the enumerator over blocks in favor of a simple get_blocks() function that just returns a std::vector of all the blocks. I also removed the requires clauses on the block and key accessor functions and instead made a request for a non-existent key/block result in a non-fatal exception. This way users can let the config reader perform a more natural role in config file validation (by catching this exception and acting accordingly). - It is now illegal to multiply matrices of size zero together.

Bug fixes: - Fixed the gaussian() function used by the SURF code. It wasn't computing a properly weighted Gaussian function. - Fixed a few things in various parts of the code to avoid compiler errors in certain use-cases. - Added a missing rethrow statement. The xml parser would eat exceptions thrown by event handlers rather than letting them propagate out as documented in the specification.

Other:

New Features: - Added an implementation of the SURF algorithm which includes the following new objects and functions: integral_image, hessian_pyramid, interest_point, surf_point, compute_dominant_angle(), compute_surf_descriptor(), haar_x(), haar_y(), get_interest_points(), and get_surf_points(). - Added the zeros_matrix() and ones_matrix() functions. - Added serialization support to the type_safe_union object. - Added the grow_rect() and shrink_rect() functions. - Added the get_files_in_directory_tree() function. - Added the null_trainer_type object. - Added the roc_trainer_type object.

Non-Backwards Compatible Changes: - Removed some extraneous get_kernel() functions from some of the trainer adapter classes since they really aren't needed.

Bug fixes: - Changed the socket read/write code so that it can handle a large number ( > 2 billion) of bytes in I/O calls. - Added a missing type cast to the reciprocal() function to fix a compile time error you get when you use it with complex<float> type matrices. - Fixed a bug in the assign_border_pixels() and zero_border_pixels() functions. Their contracts said there was no upper limit on the size of the border that could be assigned/zeroed but the implementations failed to handle the case where the border was bigger than the image.

Other: - Generally cleaned up the code and documentation here and there. - Added in Steven Van Ingelgem's patches to improve the usability of the HTTP server object. - Updated the load_bmp() function so that it is capable of reading BMP files that have been compressed with the RLE compression sometimes used for 8bit BMP files. - Merged in Miguel Grinberg's patch to add a non-blocking read() function to the connection object.
New Features: - Added a set of kernels that can operate on sparse vectors. - Added the image_window and image_display objects. - Added the rotate_point() function and the point_rotator object.

Non-Backwards Compatible Changes: - Added Steven Van Ingelgem's patch to add the body of data posted back to the server into the incoming data object given to the server_http::on_request() handler. This removes the content_length field and replaces it with a string that contains the body of content data.

Bug fixes: - Fixed a compile time bug in the offset_kernel.

Other: - Added optimized overloads of the kcentroid object for various linear kernels. - Changed all the tests in the dlib test suite to use a new DLIB_TEST macro instead of DLIB_CASSERT since the tests really aren't technically assertions

New Features: - Added the strings_equal_ignore_case() functions

Non-Backwards Compatible Changes: - Changed the on_request() function in the http server - Changed the serialization format of the kcentroid and svm_pegasos objects - By default, the kcentroid now keeps the most linearly independent dictionary vectors rather than the newest

Bug fixes:

Other: - Split the algorithms documentation page into three pages, algorithms, machine learning, and bayes nets. - Merged in Steven Van Ingelgem's patch to cleanup the HTTP server and add new functionality. This breaks backwards compatibility with the previous on_request() interface but it is easy to update old code and it is now much cleaner and easier to use. - Changed the kcentroid so that you can tell it to keep the most linearly independent vectors rather than the newest vectors. I then changed the svm_pegasos object so that it has a max number of support vector setting so that the user can supply an upper limit on the number of support vectors to use.

New Features: - Matrix related - Added the find_min_and_max(), index_of_min(), index_of_max(), trace(), randm(), linspace(), logspace(), and cartesian_product() functions. - Machine learning related - Added the offset_kernel - Added some functions to the kcentroid to allow the user to compute the inner_product of kcentroids as well as a few other useful things. - Added a kernelized version of the Pegasos SVM training algorithm.

Non-Backwards Compatible Changes: - Changed the range() function so that it returns row vectors instead of column vectors.

Bug fixes: - Changed threading code to avoid a potential race condition during program termination. - Fixed a few incorrect DLIB_ASSERT statements - Fixed a bug in the way Content-type was handled in HTTP posts. - Fixed a bug in subm() that showed up when statically dimensioned row vectors were used to select a sub matrix.

Other: - Added some functions to the rectangle to make it easy to get the corner points. - The cross validation functions no longer allow invalid_svm_nu_error exceptions to escape. Instead, they are assigned low CV scores. - Made std_vector_c able to copy directly from std::vector objects. - Added a get_socket_descriptor() function to the connection class.

New Features: - Matrix related - Added QR, LU, Cholesky, and eigenvalue decomposition class objects - Added overloads for rowm() and colm() that allow you to pick out less than an entire vector - Added the lowerm() and upperm() functions - Added the const_temp_matrix class

Non-Backwards Compatible Changes: - Renamed the cholesky_decomposition() function to chol()

Bug fixes: - Fixed some errors in the requirements for calling the new rowm() and colm() functions. - Fixed dlib::abs() so that it returns the right type when used with complex matrices. - Fixed a race condition in the logger object. It was missing a needed call to unregister_thread_end_handler(). What could happen in some scenarios is, during program termination, a global part of the logger object could be destructed when it still had outstanding thread end handlers registered to it.

Other: - Added an example program that shows how to use the optimization functions. - Gave the matrix object the ability to factor expressions containing trans() function calls into more efficient forms. - Generally cleaned up the matrix code
New Features: - Added the multi-line text_box GUI widget. - Added the type_safe_union object

Non-Backwards Compatible Changes: - Renamed the array::expand() function to array::resize() since it does basically the same thing as std::vector::resize() and more than one user has told me they found the name "expand" to be confusing.

Bug fixes:

Other: - Added an example showing how to use the type_safe_union and pipe together. - Added a page to the documentation that discusses the dlib coding standards and how to contribute to the project.
New Features: - Added the bound_function_pointer object. - Added support for futures to the thread_pool object. - Added a set of objects that makes it possible to create simulations of quantum computing algorithms. - Added copy and paste support to the text_field. - matrix object stuff - Added the range() function as well as overloads of all the various sub-matrix selection functions so that you can pick out slices of matrices like in Matlab. - Added a new template argument to the matrix object that allows the user to select the memory layout. Also added a row_major_layout and column_major_layout. - The matrix object can now be initialized using a comma separated list of values.

Non-Backwards Compatible Changes: - Changed the fatal_error exception class so that it aborts your program and prints a message if you try to construct it more than once since doing so indicates that you ignored the first fatal error. - The way matrix expressions work in the library has been changed since the last release. So if you created custom matrix expressions then they will need to be updated to use the new matrix expression stuff.

Bug fixes: - Fixed a minor bug in how the zoomable_region widget drew itself after a resize in some cases. - Fixed a problem with draw_line where it didn't always redraw the line properly.

Other: - A lot of the matrix code has been refactored and optimized. The matrix object will now introduce temporary objects when doing so results in better performance. I also added a simple system for binding arbitrary matrix expressions to optimized BLAS routines. - Cleaned up the vector and point classes. Now there is only one class, the vector class, and it is capable of representing everything the old vector and point class could. I also added code to make sure the vector class does the appropriate type promotions when vector objects with different types are used together. - Made the vector class inherit from matrix
New Features: - Added user settable styles to most of the gui widgets - Added the diagm(), svd2() and svd3() matrix functions - Added the thread_pool object

Non-Backwards Compatible Changes: - Removed the arrow_button widget and moved its functionality into the button widget. - Renamed the dragable class to draggable - Removed the confusing and unnecessary hidden bool argument to the gui widget style drawing functions. - Changed some of the events that are about the mouse leaving a widget so that they still trigger even if the widget has been disabled or hidden.

Bug fixes: - Added some missing mutex locks to the scroll_bar widget - Fixed a bug in the fill_gradient_rounded() function. It didn't always draw the entire rectangle. - Fixed a compile time bug in the pinv() function. It didn't compile when used on statically sized matrices when they weren't square.

Other: - The member_function_pointer object now never calls new or delete. So it is safe to use in a real time environment.

New Features: - Added the sort_columns() and rsort_columns() functions - Added the vector_normalizer object - Added the normalized_function object. - Added a tensor_product() function for the matrix object.

Non-Backwards Compatible Changes:

Bug fixes: - Made it so that the gui event handler thread isn't created at all unless some part of an application calls some of the gui_core code. In the previous release the event handler thread was executed briefly during program termination and could cause problems if no windowing environment was available. - Fixed an #include statement in the matrix utilities so that it works even if you don't specify an include path argument to your compiler.

Other:

New Features: - Added a thread safe shared pointer object - Added the popup_menu_region widget.

Non-Backwards Compatible Changes: - The on_wheel_up() and on_wheel_down() gui events now take an unsigned long argument. - Removed the register_program_ending_handler() function from the threading API and also changed the dlib thread pool so that it no longer causes a terminating program to wait for any outstanding threads to finish before allowing the application to end. - Changed the serialization format of the linearly_independent_subset_finder class. - Changed all the font pointers in the gui API's interfaces to shared_ptr_thread_safe objects.

Bug fixes: - Made the kkmeans class actually use the min_change parameter. - Fixed a bug in the linearly_independent_subset_finder object. Also added a way to set a minimum tolerance. - Fixed a bug in the scrollable_region widget that caused it to scroll in an unpleasant way when the horizontal and vertical scroll increments weren't set to the same value. - Made one of the arguments to font::draw_string() not be a reference because some versions of gcc don't end up doing the right thing when -O3 is supplied. - Fixed a bug in the covariance() function that prevented it from compiling sometimes.

Other: - Changed the gui core code around so that it should be safe to make window objects at the global scope. - Added more control over how the scrollable_region scrolls its region. You can now adjust how much it scrolls when the mouse wheel is scrolled as well as enabling scrolling via a mouse drag. - Modified the library so that it compiles with the Intel compiler. - Added some example programs that use the relevance vector machine

New Features:

Non-Backwards Compatible Changes:

Bug fixes: - Fixed a bug in the tooltip widget - Fixed the cmake option to toggle the ENABLE_ASSERTS macro - Fixed some bugs in the rvm - Fixed the serialization code for the kkmeans object so that it actually works - Fixed a bug that can trigger when the thread_specific_data object is destructed - Fixed a bug in the directory navigation gui. If you tried to go into a drive on windows that wasn't mounted you got an error. This is now fixed.

Other: - Made the dir_nav stuff work with std::vector and dlib::std_vector_c as well as dlib::queue objects. - Generally cleaned up a bunch of things

New Features: - Added relevance vector machine regression and classification support. - Added the cross_validate_trainer_threaded() function - Added the length and length_squared matrix functions.

Non-Backwards Compatible Changes:

Bug fixes: - Changed gui code a little so that windows don't popup in funny places when used with the cygwin X windows system.

Other: - Made it easier to use the scoped_ptr with the TCP connection object - Optimized the matrix object a little

New Features: - Machine Learning - Added the ability to compare kcentroid objects to each other - Added the rank_features() function - Added the distance_function object - Added the reduced_decision_function_trainer object and reduced() function - Added the reduced_decision_function_trainer2 object and reduced2() function - Added a radial basis function network trainer - Added the linearly_independent_subset_finder object - Added the sigmoid_kernel - Matrix Utilities - Added the inv_upper_triangular() and inv_upper_triangular() functions.

Non-Backwards Compatible Changes: - Refactored a bunch of the kernel learning code into a much cleaner form. But this does change the interface to all the training functions.

Bug fixes: - Fixed a bug in the min and max calculation in the running_stats object - Removed a bug in the sum() and variance() functions that caused them to seg fault when they were used on certain matrix of matrix objects. - Added a missing check for division by zero to the conjugate gradient optimization functions. - Added some missing member variables to the .swap and serialization functions for the kcentroid object. So now they should work right.

Other: - Added an option to the cmake file to toggle the DLIB_ASSERT macro - Added an option to the cmake file to toggle the dlib stack trace macros - Made the library compile in Cygwin

New Features: - Merged in Keita Mochizuki's unicode patches to the GUI components. So the dlib GUI now has better unicode support. - Added the remove_row and remove_col matrix functions. Also made all three of the above functions capable of taking arguments at run time as well as compile time. - Added the ability to cap the number of dictionary vectors used by the krls and kcentroid object at a user specified number. - Added the pick_initial_centers() function - Added the running_stats object

Non-Backwards Compatible Changes: - Changed the interface to the krls and kcentroid objects somewhat. - All of the style objects in the GUI part of the library now use dlib::ustring instead of std::string. This only matters to you if you have made your own style objects. - Changed the serialization format of the krls, kcentroid, and directed_graph_drawer objects. Note that is also means that the files saved by previous versions of the bayes_net_gui_ex program won't load with the current version.

Bug fixes: - Fixed an aliasing bug in the set_subm(), set_rowm(), and set_colm() functions. It was possible that you could get incorrect results if you used these functions to copy one part of a matrix to another part of the same matrix if the two areas overlapped. - Fixed a minor numerical error in the krls code so now it gets slightly better results.

Other: - Made the types generated by the matrix operations a lot shorter. This avoids some compiler warnings from visual studio and even some potential internal compiler errors in some instances.

New Features: - Added some macros that allow dlib to create a stack trace - Added the wrap_function and is_function templates. - Added two new events to the text_field object. One for detecting when the user hits enter and another for detecting when input focus is lost. - Machine Learning - Added a kernel based centroid estimator/novelty detector - Added a kernel based k-means clustering algorithm - Numerical - Added an identity_matrix() function that can take a runtime defined size. - Added a bunch of unconstrained optimization stuff to the library. It now has a conjugate gradient optimization algorithm as well as a quasi-newton algorithm. - Added the set_subm, set_rowm, and set_colm functions.

Non-Backwards Compatible Changes: - In the krls object: Added a requires clause to the set_tolerance() member function and renamed clear() to clear_dictionary().

Bug fixes: - Fixed a bug in the requires clause of the subm() function. It was more restrictive than it should have been.

Other: - Added example programs for the krls object as well as the new kcentroid and kkmeans objects.

New Features: - Added an implementation of the kernel recursive least squares algorithm

Non-Backwards Compatible Changes: - Broke backwards compatibility in the directed_graph_drawer's serialization format when I fixed the bug below.

Bug fixes: - Fixed two bugs in the directed_graph_drawer widget. First, it sometimes threw a dlib::fatal_error due to a race condition. Second, the color of the nodes wasn't being serialized when save_graph() was called. - Made vector_to_matrix() work for std::vector objects that have non-default allocators.

Other: - Added some stuff to make people get a really obvious error message when they set up the include path incorrectly.

New Features: - Added the vector_to_matrix() function. - Added a cholesky_decomposition() function. - Added the toggle_button GUI widget - Added a default toggle button style as well as check box and radio button styles. - Added a single click event to list_box - Added a save_file_box() and open_existing_file_box() function.

Non-Backwards Compatible Changes: - Changed the check_box and radio_button widgets to be specializations of the new toggle_button object. This is a nearly backwards compatible change except that the events registered to check_box and radio_button clicks must now take the form void event(toggle_button&) or void event(void) instead of the previous void event(check_box&) and void event(radio_button&). - Removed the is_mouse_over bool from the button_style::draw_button() function.

Bug fixes: - Fixed a compiler error in mingw. - Changed the preprocessor checks for the wchar_t overload of is_built_in_scalar_type so that it works properly with visual studio.

Other: - Added a Bayesian Network GUI that allows you to create a network and serialize it to disk.
New Features: - GUI Related - Added the scrollable_region widget - Added the text_grid widget - Added an event to the text_field so you can tell when the user modifies it. - Added the fit_to_contents() function to the tabbed_display widget. - Bayesian Network Related - Added the node_first_parent_assignment(), node_next_parent_assignment(), and node_cpt_filled_out() functions.

Non-Backwards Compatible Changes: - Reverted the change in 17.0 where I made drawable::lastx and drawable::lasty not match the current location of the mouse inside the on_mouse_move() event. I changed this back to how it was before, so now lastx and lasty represent the most current record of where the mouse is in *all* events. - Changed the functions that control text color in the label and text_field widgets to use rgb_pixel objects. Also added a function to set the background color of a text_field.

Bug fixes: - Fixed a bug in the bayesian_network_join_tree object that caused it to compute incorrect results for some networks. - GUI Related - Fixed a minor bug in the cursor drawing of the text_field gui widget. - Fixed a bug in the compute_cursor_rect() function. It would return an incorrectly positioned rectangle for 0 length strings. - Changed the way wchar_t is handled in the serialize.h file. Now everything should compile correctly in visual studio regardless of how you set the /Zc:wchar_t compiler option. - Fixed a bug in the menu_bar widget. One of the members wasn't being initialized when it needed to be. - Fixed a bug in the tabbed_display where it didn't redraw itself correctly after it was moved by set_pos()

Other: - Changed the xml parser so that it counts line numbers from the start of the input stream instead of from the root tag. - Changed the xml parser so that you will only get the fatal_error event once if it occurs.
New Features: - Added a zoomable_region widget - Added a directed_graph_drawer widget

Non-Backwards Compatible Changes: - Changed the first_pixel argument of the draw_string() function to be a rectangle like all the other draw functions now use.

Bug fixes: - Fixed a bug in the tooltip widget that was triggered when calling its member functions without calling set_tooltip_text(). This also fixed a bug in the button object that triggered when calling some button functions that referenced the tooltip widget. - Fixed a problem in the draw_circle and draw_solid_circle functions. They didn't draw themselves quite correctly in all cases.

Other:
New Features: - Added a png_loader object - GUI related - Added a popup_menu widget - Added a menu_bar widget - Added a tooltip widget - Added a user selectable style to the gui button. - Added the draw_rounded_rectangle() and fill_gradient_rounded() functions - Added the mouse_over_event object to the base_widgets and made the button_action inherit from it. - Added the drawable::next_free_user_event_number() function - matrix and geometry: - Added a size() function to matrix_exp and matrix_ref objects. - Added a class that represents 2D points - Added the following matrix functions: - squared(), cubed(), get_rect(), a subm() function that takes rectangles, and normalize() - Added the following rectangle functions: - area(), centered_rect(), translate_rect(), move_rect(), resize_rect(), resize_rect_height(), resize_rect_width(), and nearest_point()

Non-Backwards Compatible Changes: - Renamed atom() to array_to_matrix() - Moved the rectangle object from the gui_core into a new geometry folder (only matters if you were directly including the rectangle file) - Moved the vector object into the geometry folder. Also removed the kernel_1a stuff. So there is now only one possible vector implementation. - Changed the default position for a rectangle to (0,0) instead of (1,1) - Added edge data to the directed_graph. This breaks backwards compatibility with the previous serialization format for directed_graphs. - GUI related: - Changed the base_window::on_keydown event signature so that it now reports more keyboard modifier keys (e.g. alt) - Made the functions for drawing on canvas objects take points and pixels instead of just a bunch of integers. Also changed the order of the arguments so that the canvas comes first, followed by the location to draw on, then what to draw. - Moved the canvas drawing functions into the gui_widgets/canvas_drawing.h file. - Modified the drawable_window so that the drawable::lastx and drawable::lasty fields are updated after calls to on_mouse_move. This way the x and y that go into the on_mouse_move actually tell you something.

Bug fixes: - Fixed a bug in the floating point serialization code. It didn't handle NaN or infinities correctly. - Fixed a bug in the win32 version of the gui_core component. It was possible that calling set_size(), set_pos(), or set_title() could cause the program to deadlock. - Made the load_bmp() function more robust in the face of weirdly written BMP files. - Modified the draw_circle() and draw_solid_circle() functions so that they only touch each canvas pixel once. This avoids messing up alpha blending if an rgb_alpha_pixel is used.

Other: - Removed the old win32 only gui code in the dlib/gui folder. - Changed the default GUI font to a nicer Sans Serif font
New Features: - Added another constructor to the thread_function object. Now it can take proper function objects as well as normal function pointers. - Added the probabilistic_decision_function object and svm_nu_train_prob() function.

Non-Backwards Compatible Changes: - Changed the svm train functions so that the cache_size argument now measures the max number of megabytes of memory to use rather than number of kernel matrix rows to cache. It's default value is now 200MB. - changed the type typedef in the SVM kernel function objects to be named sample_type instead of type.

Bug fixes: - Fixed a bug in the trim, rtrim, and ltrim functions. They didn't return empty strings when the input string contained all trim characters. - Fixed a bug in the decision_function's copy constructor

Other: - Added an optimization to the working set selection for the svm training code. Now the algorithm will prefer to select indices that are in the kernel matrix cache when possible. - Fixed a problem with the chm documentation file where many of the links didn't work. - Made the support vector functions capable of operating with floats, doubles, and long doubles instead of just the double type.
New Features: - Added aversion of the draw_line() function for images. - Added the atom(), rowm(), colm(), and subm() matrix functions. - Added some push/pop_back() functions to the array object that are similar to the ones in the std::vector. - Added the std_vector_c class that wraps std::vector and checks its function's preconditions. - Added the polynomial_kernel object for use with the svm algorithm.

Non-Backwards Compatible Changes: - Changed the svm_nu_cross_validate() function to return a vector of both the +1 and -1 cross validation accuracies.

Bug fixes: - Fixed a bug in the list_box that caused it to not hide itself properly when told to do so. - Fixed canvas::fill() gui function so that it should work right on 64 bit platforms.

Other:
New Features: - Added memory manager support to the matrix object.

Non-Backwards Compatible Changes: - Made the assign_pixel() function saturate grayscale values bigger than the target pixel type can handle. Previously it would just truncate the numbers. - Removed rand_kernel_1 and rand_kernel_2 because they gave very inferior results compared to rand_kernel_3. I then renamed rand_kernel_3 to rand_kernel_1. - Renamed rand::get_random_number() to get_random_8bit_number() and also added a get_random_16bit_number() and get_random_32bit_number() - Added a checksum to compress_stream_kernel_1 and kernel_2. This breaks backwards compatibility with the previous versions. That is, the new implementations will complain that decompression fails if you give them data compressed with the old non-checksum version of the compression routines. - Removed the width() and height() functions from the array2d object. Now only the equivalent nc() and nr() member functions remain. - Changed array2d::set_size(width,height) to set_size(num_rows, num_cols). That is, I switched the order of the two arguments to this function. The reason for doing this is to make it have the same form as the set_size() member of the matrix object. This way the usage of the set_size() member for these two very similar data structures is the same. Hopefully this will reduce confusion rather than make things worse.

Bug fixes: - Fixed a bug in the image_widget. It didn't repaint the screen all the way if you gave it a smaller image to display. - Fixed a bug in the cat() function that caused the state of the queue to be broken if you called cat with an empty queue. - Made the queue_sort_1 use a better sorting algorithm. In particular, it will not sort slowly for nearly sorted data. - Fixed a bug in the queue_kernel_2 object that caused it to not work correctly with the non-default memory managers.

Other: - Added example code for the member_function_pointer as well as the matrix object. - Added some more regression tests and made some of the longer running ones execute a lot quicker. - Made the unit test suite easier to use. Now tests just throw an exception to indicate an error rather than returning an error code. - Added an example program for the multi-layer perceptron neural network.
New Features: - Added the is_signed_type and is_unsigned_type templates - Image Processing stuff - Added the assign_all_pixels() function - Added the assign_border_pixels() function - Added the assign_pixel_intensity() function - Added the auto_threshold_image() function - Added the binary_union() function - Added the edge_orientation() function - Added the get_histogram() function - Added the get_pixel_intensity() function - Added the hysteresis_threshold() function - Added the sobel_edge_detector() function - Added the suppress_non_maximum_edges() function - Added the zero_border_pixels() function - Changed the pixel_traits structure so that it can support 8, 16, and 32 bit grayscale pixels.

Non-Backwards Compatible Changes: - Added more fields to the pixel_traits template so if you had defined your own pixel types you will need to update them.

Bug fixes: - Fixed some compiler errors in Visual Studio 2008

Other: - Generally tried to clean up the documentation and code in this release

New Features: - Added the randomize_samples() function - Added the set_main_font() and main_font() functions to the drawable object. So now the drawable widgets can use a user provided font.

Non-Backwards Compatible Changes: - Made the named_rectangle object a little easier to use. It now won't let you size it so small that it doesn't display its entire name.

Bug fixes: - Fixed a bug in the svm_nu_train() function that caused a crash with some inputs. - Fixed a compile time error that occurred when compiling the bayesian network code in Mac OS X. - Fixed a bug in the compute_cursor_pos() function where it would return the incorrect value.

Other: - Added an example showing how to use the svm functions.

New Features: - Added the left_substr() and right_substr() functions - Added the zero_extend_cast() function - Added the unsigned_type template - Added the uint8 typedef - Bayesian Network related - Added the assignment object - Added the bayes_node object - Added the joint_probability_table object - Added the conditional_probability_table object - Added the bayesian_network_gibbs_sampler object This object implements an algorithm that performs approximate inference in a Bayesian Network. - Added the bayesian_network_join_tree object This object implements an algorithm that performs exact inference in a Bayesian Network. - Set related - Added the set_intersection_size() function - Added the set_union() function - Added the set_intersection() function - Added the set_difference() function - Graph related - Added the graph object - Added the is_graph template - Added the is_directed_graph template - Added the create_moral_graph() function - Added the triangulate_graph_and_find_cliques() function - Added the graph_contains_length_one_cycle() function - Added the find_connected_nodes() function - Added the graph_is_connected() function - Added the is_clique() function - Added the is_maximal_clique() function - Added the copy_graph_structure() function - Added the create_join_tree() function - Added the is_join_tree() function - Added the edge() function - GUI related - Added the base_window::get_display_size() function - Added message_box_blocking() - Added the bdf_font object which is capable of loading BDF font files into the font object used by the gui_widgets - Better Unicode support - Added the basic_utf8_ifstream: An input stream that can read UTF-8 files - Added serialization support for wchar_t and std::wstring - Added the is_combining_char() function - Added the convert_utf8_to_utf32() function - Modified most of the string manipulation functions in dlib/string.h to work with any kind of character type - The gui widgets' font object now works with Unicode text (i.e. wchar_t and unichar strings) as well as with normal char data.

Non-Backwards Compatible Changes: - The dlib/all_console.cpp and dlib/all_gui.cpp files have been deprecated in favor of a new file. Now to build with dlib you simply add dlib/all/source.cpp to your project regardless of what type of project you are building. - The GUI program entry point, winmain(), has been removed. You can now use the normal main() entry point or some other non-standard entry point provided by your compiler. - Renamed directed_graph::node::item to directed_graph::node::data

Bug fixes: - Fixed some build issues in gcc 4.2 involving some uses of the std_allocator - Fixed some build issues in Visual Studio involving the dir_nav component and building with NO_MAKEFILE #defined. - Moved the #define that disables the old WinSock API into the sockets cpp file. This should avoid conflicts with people who are using the old WinSock API. - Changed the tuple template slightly to avoid a bug in Visual Studio 7.1 that caused a compile time error in some instances.

Other:

New Features: - Added a destroy() function to the map, set, hash_map, and hash_set objects. - Added the tuple object - Added an overload of connect() that has a timeout - Added rand_kernel_3 as a random number generator that uses the Mersenne Twister algorithm. - Added the directed_graph object - Added the graph_contains_undirected_cycle() and graph_contains_directed_cycle() functions. - Added the std_allocator object. It is a STL style allocator that can use the dlib memory manager objects. - std::string manipulation functions: - Added the cast_to_string() function. - Added the tolower() function - Added the toupper() function - Added the ltrim() function - Added the rtrim() function - Added the trim() function - Added the lpad() function - Added the rpad() function - Added the pad() function

Non-Backwards Compatible Changes: - Changed the default logging level from LNONE to LERROR - Renamed the ASSERT macro to DLIB_ASSERT and CASSERT to DLIB_CASSERT. This rename avoids a conflict with a macro inside MFC. - Changed the logger so that settings are inherited when a new logger is instantiated rather than just having the new logger use the default settings. - Removed the logger::clear() function since it no longer really makes sense given the above change. - Removed the get_main_thread_id() function and replaced it with the is_dlib_thread() function.

Bug fixes: - Pushed some things into cpp files because doing so avoids build and/or runtime errors on some platforms.

Other: - Changed the string_cast() function so that it will recognize the words true and false as boolean values. Also improved the error message inside the string_cast_error exception object.

New Features: - Added the covariance() function - Added the rgb_alpha_pixel pixel type and modified all relevant functions to support it.

Non-Backwards Compatible Changes: - The GUI changes that are non-backwards compatible: - The alpha parameter is now an unsigned char instead of unsigned int and its range is now 0 to 255 instead of 0 to 256. - The image_widget no longer has any member functions dealing with alpha values. If you want to use alpha blending you just give it an image that has an alpha channel. The same goes for draw_image(). - There are now more fields in the pixel_traits template. So if you were defining your own pixels before you will need to update your pixel_traits specializations.

Bug fixes: - Made some functions non-inline and put some things on the stack instead of heap. Doing this avoids some problems with certain kinds of builds in visual studio.

Other: - Modified the message_box() function so that it is safe to call end_program() from within its callback event.

New Features: - Modified the GUI drawing functions to take an alpha argument to allow alpha blending. - Added the svm_nu_cross_validate() function to perform k-fold cross validation using the svm_nu_train() function. - Added the boost enable_if templates - Added the rand_float extension to the rand object. - New matrix features: - Added the pinv() function - Changed round_zeros() to use the machine epsilon instead of 1e-6 as its default epsilon. - Modified the matrix object so that you can declare them with a static dimension and a dynamic dimension. E.g. matrix<float,0,10> is now legal and declares a matrix with a fixed number of columns(10) and a variable number of rows. - Added the equal() function to compare two matrices of floating point numbers for near equality. - Changed the matrix so that operator(long) works for both column vectors and now also for row vectors. - Added a set_size() and constructor that takes a single long for use in sizing row and column vectors. - Added the scale_columns() function

Non-Backwards Compatible Changes:

Bug fixes: - Fixed an error in svm_nu_train() where it would incorrectly complain of incorrect nu values for some datasets. - Added a missing std:: qualifier at two points in the dlib/vector code that could cause a compiler error in some instances.

Other: - Added a term index to the documentation.

New Features: - Added a nu support vector classifier training function. - Added a multilayer neural network object. - Added the "destructive aliasing" checks into the matrix code. Now temporary matrices are only created during assignment if the right hand side aliases the left hand side in a destructive way. This removes many of the previous uses of temporary matrices. - Made the sum() matrix function be able to sum matrices of matrices - New matrix functions: - acos(), asin(), atan(), ceil(), cos(), cosh(), exp(), floor(), log(), log10(), mean(), norm(), pow(), reciprocal(), round_zeros(), sin(), sinh(), sqrt(), tan(), tanh(), variance(), and more overloads of uniform_matrix().

Non-Backwards Compatible Changes:

Bug fixes: - Added missing nr() and nc() functions to the uniform_matrix() and identity_matrix() functions. - Forgot to add a destructor for the dynamically sized matrix resulting in a memory leak. This is now fixed. - Fixed various potential compile time errors

Other:

New Features: - Added a copy of the boost noncopyable base class. - added some smart pointers: - added shared_ptr - added weak_ptr - added scoped_ptr

Non-Backwards Compatible Changes:

Bug fixes:

Other: - Cleaned up the assert code and removed the need for the dlib/error.ccp file - Made the matrix take better advantage of the compile time sized dimensions when it can.

New Features: - Made it so that command line options have a default conversion to bool and the bool tells you if they are on the command line or not. - Added an implicit conversion to a scalar to the matrix object when it is of dimension 1x1. - Added the thread_function object - Added a function to compute the singular value decomposition of a matrix.

Non-Backwards Compatible Changes: - Added two new arguments to the on_request() function. They allow you to see what HTTP headers the client sends you and to control which ones you send back.

Bug fixes:

Other:

New Features: - matrix object additions: - Added some functions to convert between matrix and pixel objects. - Added the clamp() function that operates on matrix objects. - Added the sigmoid function. - Made the matrix object capable of being sized at runtime in addition to its original compile time static sizing capability. - Added 3 and 4 argument versions of pointwise_multiply() - Added the +=, -=, *= and /= operators to the matrix object.

Non-Backwards Compatible Changes:

Bug fixes: - Fixed the line numbering in the color pretty printer. Wasn't being done correctly. - Fixed a bug in the matrix round() function. - Fixed some miscellaneous compile time errors - Fixed a bug in the matrix removerc() function. - Added some missing checks to catch invalid negative index inputs to matrix objects. - Fixed a bug in the matrix inv() function. It could sometimes segfault if used on certain singular matrices

Other: - string_cast() can now convert hex strings to integers - You can now say myarray2d.set_size(0,0) and have it do what you would naturally expect. - Added some #pragma statements that tell visual studio to link the right system libraries automatically. So now you don't have to add these things in the project settings anymore.

New Features: - Added the set_all_logging_levels(), set_all_logging_output_streams() functions - Added the configure_loggers_from_file() function which allows you to easily configure all logger objects using a textual configuration file.

Non-Backwards Compatible Changes:

Bug fixes: - Added a workaround into the code that avoids a potential compilation error on Mac OS X systems.

Other:

New Features:

Non-Backwards Compatible Changes:

Bug fixes: - Fixed a bug in the POSIX version of the hostname_to_ip() function. It was screwy if you asked for more than the first IP address (the same address might be returned more than once). - Fixed a bug in the pipe object's timeout functions. The timeouts weren't working correctly.

Other:

New Features: - Added the wait_for_num_blocked_dequeues(), enable_enqueue(), disable_enqueue(), and is_enqueue_enabled() functions to the pipe object. - The pipe object can now be used with a zero length buffer.

Non-Backwards Compatible Changes: - There is no longer a pipe::kernel_1a_c typedef since the pipe no longer has any requirements to check (due to the change of allowing zero length buffer sizes)

Bug fixes:

Other: - Made the ASSERT and CASSERT macros call dlib_assert_breakpoint() when they fail. This way you can easily set a breakpoint on them in a debugging tool by breaking on calls to this new function. - Fixed some typos and unclear parts of the pipe spec.

New Features: - Added a thread safe version of the config_reader object (in the form of an extension to the config_reader) - Added the wait_until_empty() function to the pipe object.

Non-Backwards Compatible Changes: - Removed the connection::close() and listener::close() functions. They have been replaced by destructors. To upgrade old code all you have to do is replace statements of the form "object->close();" with "delete object;". Both statements do exactly the same thing. However, for connection objects, you should probably be using the close_gracefully() function instead.

Bug fixes: - Removed a potential compile time error in the dng image format handling code. - Fixed a bug in the bigint object. The destructor was using "delete" when it should have been using "delete []" - Fixed a resource leak in the POSIX version hostname_to_ip() - Fixed a significant memory leak in memory_manager_kernel_1 - Fixed a memory leak that could occur in memory_manager_kernel_2 and memory_manager_kernel_3 when the constructor for the object being constructed threw an exception. - Added a missing delete statement to plug a memory leak in the md5 computation code. - Fixed an uninitialized variable warning from valgrind (in lz77_buffer/lz77_buffer_kernel_2.h). I think this could also potentially result in an error when decoding data but I'm not totally sure. But either way it is fixed now. - Changed a call to memcpy to memmove in the sockstreambuf_kernel_2 implementation since the copy could potentially be of overlapped memory.

Other: - Changed the connection::read() and connection::write() functions to take longs instead of unsigned longs as the buffer sizes. They also now return longs instead of ints. This should be a backwards compatible change. - Started using the valgrind tool to check for memory errors in the project and found a few things. Very nice tool :)

New Features: - Added the multithreaded_object extension to the threads API - Added the load_dng() and save_dng() functions which can load and store the DNG lossless compressed image format (which I just made up).

Non-Backwards Compatible Changes: - Changed the serialization format for bool to use a 1 byte code rather than 2 bytes. So this breaks compatibility with the old format.

Bug fixes: - The serialization for bool didn't always work right. This is now fixed.

Other:

New Features: - New faster version of the bigint object (bigint_kernel_2) that uses the Fast Fourier Transform to perform multiplications. - The base_window can now be an "undecorated" window. This new type is suitable for making things like popup menus and the like. - Added the on_focus_lost() event to the base_window object - Added the on_focus_gained() event to the base_window object - Added the on_window_moved() event to the base_window object - Added the get_pos() function to the base_window object - Updated the gui_widgets's drawable interface stuff to support the three new event types and the new window type. - Added the drawable::draw_rectangle() function - Added serialization support for std::complex. - Added the assign_image() function

Non-Backwards Compatible Changes: - Removed the color arguments from the drawable_window object's constructor and added a new boolean argument (if it is an undecorated window or not). This probably won't break any code but if it does you should get a compiler error about it. - Made it so you must disable the events in the destructor for your drawable gui widgets. Doing so avoids potential race conditions when destructing drawable objects. - Made it so that you are required to call close_window() in a window object's destructor. This avoids a potential race condition.

Bug fixes: - Added a workaround for a bug in MinGW that caused the regression test suite to crash when compiled with -O3. - Fixed a potential bug in the X Windows version of the gui_core component. Added an extra XFlush() to end_program() because without it a program can crash when calling end_program() in certain instances. - The spec for the pipe object said that objects you enqueue into it had an "initial value for their type" after the function completes. This is incorrect, they are swapped into the pipe so they have an undefined value afterwards. I fixed the spec for the pipe to say this. - Fixed a bug in the font rendering functions in the gui_widgets component. It could cause a segmentation fault sometimes. - Fixed some potential deadlocks in the windows version of the gui_core component. - Fixed a bug in the rsignaler object. When you called wait() or wait_or_timeout() it only unlocked the associated rmutex once (it could be locked more than once and thus might cause a deadlock since the thread calling wait() wouldn't actually unlock the mutex in this case). - Fixed the initialize_array() function in memory_manger_kernel_3 to be exception safe. Previously if an exception occurred while creating an array then a resource leak was created.

Other: - Changed the package format for the library somewhat. The examples are now located in their own top level folder. Additionally, the HTML version of the documentation also comes in the same archive as the source rather than in a separate download. - Started using major and minor version numbers rather than just major ones.

New Features: - Added operator<< and operator>> iostream operators to the vector object.

Non-Backwards Compatible Changes: - Changed the xml_parser's document_handler interface: made empty element tags (<like_this/>) trigger the end_element() callback and removed the is_empty bool from start_element().

Bug fixes: - Fixed a potential race condition between the destruction of the thread pool and the "program ending handlers" stuff.

Other: - Made the xml parser more robust to different types of new line characters. - Modified the source slightly so that it works with mingw.

New Features: - The config_reader is now enumerable. - Added the image_widget gui object. - Added nr() and nc() to the array2d object. - Added the shutdown_connection() function to the iostream extension to the server object. - Added the timer_kernel_2 implementation which is a version of the timer object that is more efficient in its allocation of threads. - Added the timeout object. - There is now a CMakeLists.txt file located in the dlib folder. See dlib/examples/CMakeLists.txt and dlib/test/CMakeLists.txt for examples that use CMake to build projects using this library. - Added the register_program_ending_handler() function to the threading API.

Non-Backwards Compatible Changes: - Removed the config_reader::get_blocks() function. Use the new enumerable interface for the config_reader instead. - The array2d object now uses longs instead of unsigned longs to report its dimensions and access its elements. - Added a uint64 to the on_connect() callback in the iostream extension to the server object. - timer::set_delay_time() now throws and timer::start() now may throw std::bad_alloc.

Bug fixes: - Fixed a bug in end_program(). In X Windows it might not cause the program to end right away if it was called from outside the event handling thread. - Fixed a bug in the implementation of the timeout part of the close_gracefully() function.

Other: - The library now works on HP-UX - The regression test suite now has command line arguments that enable tests to send debug messages to a file.

New Features: - The http server extension now supports the POST HTTP method. - The attribute list object in the xml_parser is now enumerable. - Added the threaded object extension - Added the uintn.h file which defines fixed sized unsigned integral types.

Non-Backwards Compatible Changes: - Renamed the on_get() callback in the http extension to the server object to on_request() - Removed the network byte order functions from the sockets api. (They are still really there though since they come from actual OS header files. But officially they have been replaced by the byte_orderer component). - Renamed dlib/uint64.h to dlib/uintn.h

Bug fixes:

Other: - The command line parser will now let you declare long named options with - characters in them. - Made it so you can use the COMPILE_TIME_ASSERT macros anywhere rather than just inside functions.

New Features: - For dlib::matrix - Added the tmp() function - Added optimized specializations of inv() and det() for 1x1, 2x2, 3x3 and 4x4 matrices. - Added the removerc() function - Sockets related - Added the connect() function - Added the is_ip_address() function. - Added the close_gracefully() function - Added the iostream extension to the server object. - Added the http extension to the server object.

Non-Backwards Compatible Changes: - Changed the cpp_tokenizer to not convert characters to their html form.

Bug fixes: - Removed some potential compile time errors. See the change log for details.

Other: - Improved the web site - Added some more example code - Added more colors to cpp_pretty_printer_kernel_1.
New Features: - std::map is now serializable - Added the matrix object and a bunch of supporting code. - Added the list_box graphical widget - Added the fill_rect_with_vertical_gradient() function to the drawable interfaces list of drawing helpers. - Added the open_file_box() function which provides a simple file chooser.

Non-Backwards Compatible Changes:

Bug fixes: - Made timestamper::get_timestamp() be a const function like it should. Fixes some compile errors. - Fixed a bug in the font::draw_string() function. It didn't redraw multi-line strings right. - Fixed a bug in the scroll_bar object that would cause a compile error if you tried to call its width() function. - Fixed a bug in the array_kernel_1 object. It would cause a segmentation fault when used sometimes.

Other:
New Features: - Added the following image transformation functions: - Added the equalize_histogram() function - Added the spatially_filter_image() function - Added the threshold_image() function - Added the binary_dilation() function - Added the binary_erosion() function - Added the binary_open() function - Added the binary_close() function - Added the binary_intersection() function - Added the binary_difference() function - Added the binary_complement() function - Added the clear(), load_from() and default constructor back into the config_reader. - Made the member_function_pointer copyable and also added operator== and != to it.

Non-Backwards Compatible Changes: - Made the vector object templated so you can use types other than double with it. But now you have to specify what type you want to use which is slightly different. - The asc_pair_remover and asc_remover abstract classes now take a third template argument. I highly doubt this effects any code outside the library but it is possible.

Bug fixes: - Fixed a bug in the base_window::set_size() function. If you specified a size of (0,0) it caused your program to error out. This has now been fixed. - Fixed a bug in the scroll_bar widget. - Fixed a bug in save_bmp(). For some image sizes it would output a goofy looking skewed image.

Other: - Switched everything that used to call operator< directly to instead use std::less or to take a template argument that provides a compare functor that defaults to std::less.
New Features: - Added the assign_pixel() function - Added the hsi pixel type - Added the save_bmp() function - Added the static_switch template

Non-Backwards Compatible Changes: - Changed how the config_reader works. It now has a more powerful syntax and improved interface. Converting any old code to use the new version should be simple since the new file syntax is very nearly backwards compatible with the old syntax. (i.e. You probably won't have to change anything about your config files) - Renamed the dlib/image_loader.h file to dlib/image_io.h since it now includes the image saver stuff. - Renamed the pixel struct to rgb_pixel - Renamed pixel_traits::color to pixel_traits::rgb - Renamed pixel_traits::scalar to pixel_traits::grayscale

Bug fixes: - Fixed a bug in the load_bmp() function. It would load 24bit bmp files incorrectly. - Changed the logger so that it won't deadlock if you write something similar to my_log << LINFO << function_that_also_logs();. Although this is a dumb thing to do. But even so, it shouldn't deadlock. - Fixed a potential linking problem with the vector object.

Other: - I decided I'm not going to support Borland v5.5.1 anymore. There are just too many bugs in this compiler. It is very old at this point so I don't see this being a big deal. - Made the drawable::draw_image() and load_bmp() functions able to handle images of any type of pixel. - Pulled the imaging, algorithmic and metaprogramming stuff out of the miscellaneous section of the web page and gave them all their own sections.
New Features: - Added a logger header that prints the date and time. - Added the LTRACE logging level - Added a buffered implementation of sockstreambuf.

Non-Backwards Compatible Changes: - Changed the specs to say that sockstreambuf may be buffered. sockstreambuf_kernel_1 is still just as it always has been though. So all old code will still work just as it always has. But all the same, the specs have been changed and now allow for an implementation that is not 100% backwards compatible. - rand_kernel_2 now emits a different string of random numbers.

Bug fixes: - Changed the logger object's implementation to not try to register a thread end handler for the main program thread anymore. This was technically a bug according to the spec but it actually did end up working the way it was supposed to. But even so, it shouldn't have been doing that. - Changed binary_search_tree_kernel_1 so that it avoids a bug in the version of gcc on SuSE Enterprise Linux 9. - Fixed a bug in the rand_kernel_2 implementation. It wasn't giving good random numbers.

Other: - Modified the code so that you don't get any warnings when -Wall is used with GCC.
New Features: - Added the ASSERT_ARE_SAME_TYPE macro - Added the is_same_type template - Added the get_main_thread_id() function to the threading API - Added the thread_specific_data extension to the threading API - Added the logger object. - Added the auto_unlock object to the threading API.

Non-Backwards Compatible Changes:

Bug fixes:

Other: - Added an example that is specifically about using threads - Added two examples about using the logger object
New Features: - Added the memory_manager_stateless object and two implementations of it. - Added the MACOSX macro to dlib/platform.h - Added a templated version of create_new_thread() that allow you to start a thread with a member function. - Added the register_thread_end_handler() function to the threading kernel API. - Added memory_manager_kernel_3

Non-Backwards Compatible Changes: - Changed the meaning of the memory_manager_global::get_number_of_allocations() function because the previous definition of it didn't really make sense for this object. - Changed the threading API to wait for all outstanding threads to terminate before allowing the program to end. It used to just let the OS trash those threads when main() ended but this isn't a safe or portable thing to do. I used to assume the user would make sure all their threads were done and had cleaned up whatever they were doing before main() ended but this is too much of a burden on the end user. So now the library will wait for your threads to end. You still need to have some way of telling them it is time to stop though.

Bug fixes: - Fixed a minor bug in dlib/timer/timer_kernel_1.h. Its implementation was slightly off according to the specification of a timer object.

Other: - The byte_order object is now capable of flipping entire arrays. - Made it so that the ENABLE_ASSERTS macro is defined whenever ASSERT is on. - Made the array container use the memory managers.

New Features: - Added functions to explicitly convert to/from little and big endian to the byte_order object. - Added the allocate_array() and deallocate_array() functions to the memory_manager. - Created the memory_manager_global object - Added the remove_last_in_order(), position_enumerator() and remove_current_element() functions to the binary_search_tree object.

Non-Backwards Compatible Changes: - I put an #error directive in the old GUI component to notify anyone trying to use it that it is deprecated. I will be removing it from the library in a few months. - Switched the reference_counter object back to not using the memory_manager. I realized it isn't safe for this object to use the memory_manager since it could result in memory_managers freeing each other's allocations. - I redefined the pixel_traits template. It is now a lot simpler and more convenient.

Bug fixes: - Fixed a minor bug in dlib/rand/rand_kernel_2.cpp

Other: - Added some more compile time checks to the byte_orderer object. - Changed some includes and preprocessor macros around a little so now everything but the GUI stuff compiles in mac OS X. - Added inclusion guards to all the .cpp files - Added the all_gui.cpp and all_console.cpp files. They include all the .cpp files you need to make gui and console applications respectively into one file. - Made more containers use the memory_manager.

New Features: - Added the enqueue_or_timeout() and dequeue_or_timeout() functions to the pipe object. - Gave the mouse_tracker the ability to display the mouse position relative to a user selected point. - Added the message_box() function to the gui_widgets component. - Gave the label widget the ability to draw newlines in strings. - added the close_window() and is_closed() methods to the base_window object. - Added the rsignaler extension to the threading API. - You can now control the thread pool timeout time by setting the DLIB_THREAD_POOL_TIMEOUT #define. - Added the get_from_clipboard() and put_on_clipboard() functions to the gui_core component. - Added the stop_and_wait() function to the timer object. - Added the trigger_user_event() function and on_user_event() event to the base_window object. This new event is also forwarded to drawable interfaces inside the receiving window. - Added the wrap_around() function to the named_rectangle widget. - Added the top(), left(), right(), bottom(), width() and height() functions to the drawable interface.

Non-Backwards Compatible Changes: - Made the radio_button and check_box widgets pass references to themselves when they call their click handlers. - Switched the sync_extension to use the rmutex and rsignaler objects rather than the normal non-reentrant ones. ( Chances are that old code that used this will still compile fine anyway. ) - Changed the return type of rand::get_random_number() to be an unsigned char. I also changed both the implementations of rand because they weren't very good at all. - Changed the functions related to drawing strings in the font class. - Changed the drawable's rectangle to default to being empty rather than being a single point. Most code should not notice the difference.

Bug fixes: - The event handlers in gui_widgets/drawable.h were private. They should be protected. This is now fixed. - Fixed a bug in the way the scroll_bar was drawn when it was the HORIZONTAL type. - Changed how the thread pool destructs itself when the program is ending. Previously it was possible to get an error on NetBSD when the program was ending. This is now fixed. - The functions related to setting the jump size in the scroll_bar widget were private. They are now public. - There was a bug in the MS Windows version of the gui_core component where the members of the base_window would not work if called from within the on_window_close() event. This has now been fixed. - Made the set_pos() function work right for the mouse_tracker widget. - Fixed a bug in the base64 object where the string "" could potentially be decoded incorrectly. - Made the global swap function for crc32_kernel_1 inline. This fixes a potential linker error. - Fixed some potential deadlocking that could occur while using the gui widgets.

Other: - I moved all the regression tests into the dlib/test folder and made a nice driver program to run all of them. - I have been using the sourceforge compile farms to test the library on various platforms. It now works for Solaris and some of the BSDs in addition to Linux and Windows.
New Features: - Added the array_expand extension to the array object. - Added the cmd_line_parser_check extension to the command line parser. - Added the pipe object. - All applicable container classes now use the memory_manager component for their memory allocation. - New implementations of the memory_manager object. - Added the copy_functor class.

Non-Backwards Compatible Changes: - Moved the wrap_string, narrow, and string_cast functions to a new file. You now have to include dlib/string.h to get them. (This makes a bunch of other things work right in gcc 2.95) - Renamed the _L macro to _dT - Removed the scopy class - Simplified the interface to the memory manager. It is basically the same though. - Removed the max_size() methods from the hash_table and binary_search_tree objects. - Removed the T_is_POD template arguments from the hash_table and binary_search_tree objects. - Simplified the template arguments to all checking components and extensions. They now take the class they are to extend or check as their only template argument. This only affects you if you haven't been using the kernel_nx typedefs.

Bug fixes:

Other: - I changed a few things around and now a majority of the library again compiles under gcc 2.95. But some things don't and I currently don't plan on making them work because it involves hackish workarounds of 2.95's bugs. - Changed the compress_stream_kernel_1 object so that it will detect data corruptions better. This change will prevent it from correctly decompressing data that was compressed with a previous version and has an uncompressed size greater than about 20,000 bytes. - There is a new cpp file you need to compile: dlib/error.cpp - Moved all the regression testing stuff into the dlib/test folder and made a nicer test driver to run them.
New Features: - Created the byte_orderer object. - Created the mouse_tracker gui widget. - The sliding_buffer object is now enumerable and serializable. - Added the get_filesystem_roots() function to the dir_nar component. - Added the create_directory() function to the misc_api component.

Non-Backwards Compatible Changes: - The ASSERT macro is now only enabled if DEBUG or ENABLE_ASSERTS is defined.

Bug fixes: - Fixed a minor bug in the cmd_line_parser object. If you gave an option such as --option=arg when option didn't take any arguments it could hang your program. - Fixed a bug in wait_or_timeout() in the posix version of the threading api. The time to wait for was being calculated incorrectly and could result in an excessive number of spurious returns. - Fixed a minor bug in the on_keydown() event for windows. I had it set such that the shift and ctrl bools would be false if they were the actual keys being pressed. This isn't what the specs say should happen but I had a comment in the windows code that made it clear that I did it on purpose. Go figure :) This is now fixed.

Other: - Improved the cpp_tokenizer object's ability to recognize numerical constants. - Improved the text_field gui widget. - There are now two assert macros. One called ASSERT and another CASSERT. They both do the same thing but ASSERT is only enabled when DEBUG or ENABLE_ASSERTS is defined. All the old ASSERT statements were changed to CASSERT statements.
New Features: - Added array_kernel_2 which is a simple layer on top of a C array. - Added the tabbed_display GUI widget - Added the widget_group GUI widget - Added the named_rectangle GUI widget - Added the pixel_traits template

Non-Backwards Compatible Changes: - The default maximum size for an array object is now 0 rather than 20,000. Bug fixes:

Other: - made the cpp_pretty_printer a little better about how it handles C style code. Also added support for /*!A html_anchor_name !*/ style comments.
New Features: - Created the array2d object. - Created the base64 object. - Created the pixel struct. - Created the load_bmp() function which can load a BMP image file into an array2d object of pixels. - Created the drawable::draw_image() function

Non-Backwards Compatible Changes: - In the drawable interface I made the z order a long rather than unsigned long. - The cpp_tokenizer object now has a NUMBER token type. - removed the get_ prefix from functions in the cmd_line_parser and cmd_line_parser_option objects. Also changed the cmd_line_parser_option::operator[] function to a normal member function called argument().

Bug fixes:

Other: - cpp_pretty_printer now colors numeric literals a shade of yellow.
New Features: - Created the member_function_pointer object. - Created the button_action object. - Created the arrow_button object. - Created the check_box object. - Created the radio_button object. - Created the scroll_bar object. - More drawing functions to draw various things onto a canvas object. - Added enable/disable functions to the drawable interface.

Non-Backwards Compatible Changes: - The gui widgets are no longer templated at the class level. - The drawable object's constructor now takes a bit set rather than a bunch of bools to tell it which events to enable. - I changed the names of some of the functions in the gui_widgets component so that they all reflected a uniform naming style.

Bug fixes: - Fixed a minor bug in the cpp_tokenizer. - Minor bug in the timer object. See change log for details.

Other: - Made the timer object a little more robust