diff --git a/release/changelog_since_last_release.txt b/release/changelog_since_last_release.txt
index b2354cadc2ff04a840ae53470eaa41b5154fe99b..b3c0fed5e5bb19103a45474dc0debe4f58664c08 100644
--- a/release/changelog_since_last_release.txt
+++ b/release/changelog_since_last_release.txt
@@ -171,14 +171,10 @@
- Make the tests less relaxed
* bob.ip.qualitymeasure
* patch
- - added ci config file
- - added conda yaml config
- - updated README
- - removed ref to bootstrapbuildout
- - updated doc conf
- - removed docopt requirement
- - small fixes
- - Added an optional reference image to Galbally IQM
+ * Migrated to conda based CI
+ * Updates in the README
+ * Removed bootstrap-buildout functionality
+ * Added an optional reference image to Galbally IQM extractor
* bob.ip.skincolorfilter
* minor
* Migrate to conda based CI
@@ -447,143 +443,49 @@
* bob.bio.video!20 Docs url fix
* bob.bio.video!19 Python36 & docs fixes
* bob.bio.video!18 Removed`Algorithm.read_probe`
- * patch
- - Add as_array to frame containers
- - Fixed tuple indexing bug in youtube db load function
- - Added unit test for the load method of youtube database
- - Updated manifest to use jpg files for tests
- - Fixed the unit test connecting it with low level db interface]
- - Fixed the unit test of youtube load method
- - Make the original_directory and annotation_directory a property
- - move the _db initialization before calling super
- - pass kwargs in the base file class
- * Migrate to conda based CI
- - [conda] Added test requirements
- - Fixed the index.rst to match joint docs requirements
- - Added quality_assessment_function to preprocessor Wrapper
- - Fixed the typo
- - Addressing missing frame annotations
- - Fixed dict.has_key issue for Python 3
- - Reverted quality assessment function
- - Changed missing annotations conditional check + unit tests
- - Moved condition to one line, removed empty dictionary check
- - Fixes bob.bio.video#11
- - Returning none insted of empty FrCont in preproc Wrapper
- - Make missing annotations None instead of empty dict
- - Add a failsafevideo wrapper
- - use ordered dict
- - Add a video annotator
- - Finalize video annotators and add docs and tests
- - Fix import order
- - use six to check for string types
- - Account for empty frame containers too
- - Account for failed extractor
- - remove unused import thanks to my linter and the way I imported it
- - mention min_face_size_validator for a possible input
- - Validators should handle empty annotations too
- - Fix sphinx warning
+ * minor
+ * Add function as_array() to FrameContainer
+ * Fixed youtube db load function
+ * The original_directory and annotation_directory are now a property
+ * Migrated to conda based CI
+ * Package now added to joint documentation
+ * Missing annotations are now handled in the Preprocessor Wrapper
+ * Updated unit tests addressing missing annotation cases
+ * Preprocessor Wrapper now able to return None, allowing --missing-files functionality
+ * Added failsafevideo wrapper
+ * Added Video annotator
* bob.bio.vein
* v1.0.0 (Oct 20, 2017 13:29)
* Initial release
- - Add bob.db.fv3d requirement
- - Minor fix to logging setup
- - Implement no-cropping option
- - Improve sample viewing script
- - Add blame script
- - Implement empty annotations() method to satisfy bob.bio.base
- - Add support for 3D Fingervein Database
- - Re-estructured Preprocessor to simplify experimentation and configuration
- - Add matlab reference generation and readme
- - Remove trailing spaces
- - Improve comments
- - Add test for 3D fingervein database
- - More preprocessor changes
- - Use scipy directly where possible
- - Fixes to Maximum Curvature implementation; Improved references & documentation
- - Update manifest
- - Speeds-up the evaluation of vein probabilities
- - Missing import
- - Avoid warnings
- - Ensures input image has dtype==float64 before anything else
- - Fix loading of fv3d fingers
- - Use 'crop' instead of 'cropper'
- - Improve inheritance; Fix FixedMask implementation
- - If sample does not have roi, then returns only image
- - Add grid resources and explanation on how to run
- - Implement optional pre-cropping stage on preprocessor
- - Test cropping with annotated images
- - Use cropped images on next stages
- - More tests for preprocessor specific stages
- - Reflected changes from copper->crop renaming
- - Don't need to do poly_to_mask() anymore
- - Improve comments on TomesLeeMask
- - Use padder by default on stock configurations
- - Fix missing transposition on port
- - Implemented normalized-cross-correlation algorithm
- - Remove ipdb break point
- - Fix doc error
- - Add mlp trainer for watershed masker
- - Add mlp trainer for watershed masker
- - Add watershed mask detector
- - Remove useless mask(); Update comments
- - Fix score splitting
- - Fix indentation
- - Allow to view sample using a database name
- - Fixes to marker detector
- - Add ON's miura-match with rotation support
- - Load only what is annotated (allow flexibility)
- - Support view mode w/o extracted veins
- - Add watershed preprocessing debug-aid script
- - Printout metrics as they are evaluated
- - Allow separate thresholds for foreground and background markers; Allow external…
- - Use simpler validation
- - Add script to help debugging watershedding
- - Fix spelling
- - Add watershedding link
- - Simplify baseline, Add watershed NN training
- - Fix link
- - Update comment
- - Set better defaults and use them on stock configuration
- - Added the HLDI for the putvein database
- - Added the HLDI for the putvein database
- - Update documentation to include 3D-fingervein pointers
- - Fix installation directives
- - Remove database interfaces from runtime
- - Added the HLDI for the putvein database
- - Added the doc and tests and config for the putvein database
- - Fixed the HLDI of the putvein db - conversion of group names
- - Added bob.ip.color to requirements.txt
- - Fix loading of binarised images
- - Option to save figures discretely
- - Include databases on bulidout configurations
- - Fix Hamming Distance module
- - Make HammingDistance class plus add test
- - Improve documentation in HammingDistance class
- - Update baseline results for rlt, mc, and wld
- - Remove Oleg's implementation of rotation-invariant matching (before release,…
- - Update README links [ci skip]
- - Complete design and doc of HammingDistance
- - Add missing dev packages
- - Reset preliminary version to 1.0.0a0
- - update the table for verafinger/nom.
- - Minor typo fix [ci skip]
+ * Added bob.db.fv3d
+ * Updated sample viewing script
+ * Added blame script
+ * Re-estructured Preprocessor to simplify experimentation and configuration
+ * Unit tests for 3D fingervein database
+ * Fixes to Maximum Curvature implementation; Improved references & documentation
+ * Speeds-up the evaluation of vein probabilities
+ * Updated functionality: If sample does not have ROI, then returns only image
+ * Updated documentation: on grid resources and explanation on how to run
+ * Added optional pre-cropping stage on preprocessor
+ * Implemented normalized-cross-correlation algorithm
+ * Added MLP trainer for watershed masker
+ * Added watershed mask detector
+ * Functionality allowing to view sample using a database name
+ * Added Miura-match with rotation support
+ * Support for view mode w/o extracted veins
+ * Added watershed preprocessing debug-aid script
+ * Added High Level Database Interface for putvein database
+ * Added the doc and tests and config for the putvein database
+ * HammingDistance class plus test
+ * Update documentation on baseline results for rlt, mc, and wld
+ * Remove Oleg's implementation of rotation-invariant matching
* v1.0.1 (Oct 20, 2017 16:04)
* Update `MANIFEST.in` to include necessary package files
- - Update MANIFEST to include essential files
* patch
- - updated the whole table. The numbers are very different for the new algorithms.
- - Port to new CI (closes bob.bio.vein#16)
- - Try a fix for the scikit image dep
- - Try another fix for the scikit image dep
- - Update utfvp interface
- - Remove uncited ref
- - Remove uncited ref
- - Removes more uncited references
- - Enable compilation of docs w/o latex
- - Adds bob.bio.vein sphinx ref
- - Fixed the index.rst to match joint docs requirements
- - Adaptations to allow vulnerability analysis
- - Catch-up with changes to verafinger
+ * Ported to new CI
+ * Updated utfvp interface
+ * Fixed the index.rst to match joint docs requirements
+ * Adaptations to allow vulnerability analysis
* bob.db.voxforge
* v2.2.0 (Sep 24, 2017 11:39)
* patch
@@ -641,106 +543,31 @@
- Fixed convert_frame_cont_to_array addressing missing annotations
- Add a predictions algorithm useful for deeplearning
* bob.pad.face
- * patch
- - Added MIFS database
- - bugfix: array indices fixed
- - Added face bounding boxes to tree and cleaned database path
- - Updated documentation
- - documentation fix
- - documentation fix
- - Fixed documentation
- - bugfix: array indices fixed
- - documentation fix
- - documentation fix
- - Updated documentation
- - Added face bounding boxes to tree and cleaned database path
- - Fixed documentation
- - Cleaning
- - Merge
- - Fixed merge errors
- - Updated documentation
- - Updated documentation
- - Updated the MANIFEST.in to make annotations available for MIFS db
- - Added entry point for VideoSparseCoding preprocessor amd initial version of…
- - Addded conversion of sparse codes to Frame Container
- - Added sparse encoding part to VideoSparseCoding preprocessor
- - Added a part of VideoSparseCoding preprocessor
- - Moved histogram extraction to preprocessor VideoSparseCoding
- - Added entry points for VideoHistOfSparseCodes extractor
- - Fixed an indentation issue in the doc of VideoSparseCoding
- - Updated the main doc on anomaly detection PAD for Aggregated Db, some doc for…
- - Optimized the VideoSparseCoding for memory useage
- - Added the reconstruction error option to VideoSparseCoding preprocessor
- - Removed temp stuff from setup.py, cleaning of sporse coding algorithms
- - Fixed the path bug in the video_sparse_coding config file
- - Added a local face detection option to the VideoFaceCrop class
- - Updated requirements.txt with dlib facedetector
- - Added unit tests for classes used in the IQM-GMM pad algorithm
- - Fixed the None case in face detection utils
- - Fixed no face detected issue in VideoFaceCrop
- - Modified the grid config requesting less memory
- - Added optional face detectors, also empty files will not be saved in the preprocessor
- - Fixes unit tests after update of bob.ip.dlib
- - Fixed the unit test to match the latets updates in bob.ip.dlib
- - Removed a dependency from bob.ip.mtcnn in face detection utils
- - Added facelandmark detection in utilsbob.pad.face!
- - unit tests
- - test
- - Added mtcnn along with dlib.
- - Added mtcnn/dlib detectors
- - Changed function name + some minor modifications
- - adapt svm algorithm to other modalities, like voice
- - adapt one class gmm to other modalities
- - Added a grandtest-train-eval protocol to the aggregated db
- - Added grandtest-mobio protocol to the aggregated db
- - Minor typo fix in the doc of Aggregated db
- - pep8 formatting done by yapf -ri .
- - Accept frame_selector in load methods
- - remove bootstrap-buildout.py
- - Add a base pad file for all face pad databases
- - Use all frames. Improve docs
- - The inital version of grandtest-train-eval-<num_train_samples> protocol for Aggregated db
- - Fixed the None issue in grandtest-train-eval-<num_train_samples> protocol
- - Add frame processing functionality
- - MethodType in Python 3 takes 2 arguments only
- - Make the original_directory and annotation_directory a property
- - db not _db
- - Implement frame by frame loading in replay and replay-mobile
- - use bob.extension.rc instead of None
- * Migrate to conda based CI
- - Moved algos to bob.pad.base and renamed them
- - updating conda recipe
- - removing console scripts entry point, since there are no scripts
- - removing console scripts entry point, since there are no scripts
- - updating conda recipe
- - updating conda recipe
- - fixing test_video_face_crop and conda recipe
- - Changes in conda recipe according to Anirs comments
- - Added mobio db to conda recipe, fixed unit tests
- - Print the assertion value
- - Fixed the nose tests for VideoFaceCrop
- - Fixed the pointer to Algos documentation, now in bob.pad.base
- - Changed host/run requirements
- - Fixed the index.rst to match joint docs requirements
- - Removed duplicating db configs, issue bob.pad.face#18
- - Removed VideoQualityMeasure, replaced with Wraper
- - removed VideoLBPHistogram, replaced with Wrapper
- - Removed unused class VideoDataLoader, closes bob.pad.face#20
- - Added alignment option to normalize_image_size_in_grayscale in ImageFaceCrop
- - Changed hard-coded constants into face size relative in FaceEyesNorm call
- - Moved some class methods to functions, WIP
- - Minor modifications in ImageFaceCrop, WIP
- - Added initial version of FaceCropAlign, which is refactor of ImageFaceCrop
- - Fixed the bug in min_face_size check
- - Removed VideFaceCrop and ImageFaceCrop, replaced with FaceCropAlign+Wrapper
- - Removed face_detection_utils, updated unit tests
- - Added underscore to preproc configs to resolve warning when running baselines
- - Removed deleted utils from docs
- - Added a FrameSelector to the load() in Aggregated Db HLDI
- - Changed the default FrameSelector in preproc configs to select all frames
- - Add a low-intensive grid option named small
- - Use our common right eye and left eye names instead
- - Fix the tests too
+ * major
+ * Added High Level Database Interface (HLDI) for MIFS database
+ * Annotations are added for MIFS database
+ * Added a VideoSparseCoding preprocessor
+ * Updated the documentation on anomaly detection-based PAD using Aggregated Db
+ * Local face detection option was added to VideoFaceCrop class, using dlib and mtcnn
+ * Unit tests for the classes used in IQM-GMM pad algorithm
+ * Added landmark detection utils
+ * Algorithms/classifiers are adapted to other non-face modalities
+ * New protocol for Aggregated Database: grandtest-train-eval
+ * New protocol for Aggregated Database: grandtest-mobio
+ * Frame Selector is now acceptable in HLDIs of all databases
+ * Removed bootstrap-buildout.py functionality
+ * Added A base PAD file class
+ * New protocol for Aggregated Database: grandtest-train-eval-<num_train_samples>
+ * bob.extension.rc used in HLDIs
+ * Migrated to conda-based CI
+ * ALL algorithms are moved to bob.pad.base package
+ * Fixed algorithms documentation links, pointing to bob.pad.base now.
+ * The documentation of the package now linked to joint documentation properly.
+ * Refactoring: duplicated database configs are removed
+ * Refactoring: removed VideoQualityMeasure, replaced with Wrapper class
+ * Refactoring: removed VideoLBPHistogram, replaced with Wrapper class
+ * Refactoring: removed unused VideoDataLoader
+ * Refactoring: created FaceCropAlign, replaces ImageFaceCrop + VideFaceCrop using Wrapper
* bob.db.oulunpu
* patch
- Initial commit