Updated changelogs of Bob pad.face, ip.qualitymeasure, bio.video and bio.vein

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