Skip to content
GitLab
Menu
Projects
Groups
Snippets
Loading...
Help
Help
Support
Community forum
Keyboard shortcuts
?
Submit feedback
Contribute to GitLab
Sign in / Register
Toggle navigation
Menu
Open sidebar
OpenDAS
dlib
Commits
462c8c5c
Commit
462c8c5c
authored
Dec 27, 2011
by
Davis King
Browse files
updated release notes
parent
592c52b9
Changes
1
Hide whitespace changes
Inline
Side-by-side
Showing
1 changed file
with
33 additions
and
4 deletions
+33
-4
docs/docs/release_notes.xml
docs/docs/release_notes.xml
+33
-4
No files found.
docs/docs/release_notes.xml
View file @
462c8c5c
...
...
@@ -12,13 +12,42 @@
<current>
New Stuff:
- 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 some random projection based locality sensitive hashing tools.
- Added tools to simplify creating scan_image_pyramid objects. See
the object_detector_ex.cpp example program for details.
Non-Backwards Compatible Changes:
- Changed the serialization format for rand objects.
Bug fixes:
Other:
- 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.
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.
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.
</current>
...
...
Write
Preview
Markdown
is supported
0%
Try again
or
attach a new file
.
Attach a file
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Cancel
Please
register
or
sign in
to comment