Commit 79547b61 authored by Davis King's avatar Davis King

updated release notes

parent a9eba8c4
......@@ -14,29 +14,37 @@
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 the max_filter() routine.
- Added overloads of serialize()/deserialize() so that they can serialize
Google protocol buffer objects.
- Added scan_image_movable_parts()
- added find_points_above_thresh()
- Added sum_filter_assign().
- Added a per node loss option to the structural_svm_graph_labeling_problem's
interface.
- Added the full_object_detection object.
- Implemented the movable part stuff.
Non-Backwards Compatible Changes:
- Updated scan_image_pyramid serialization to include the movable rectangle
info. Note that this also changes the serialization format for object_detector
objects since they contain a scan_image_pyramid instance.
Bug fixes:
- Made auto_threshold_image() always use 64bit integers for part of its counting
to make it robust to 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.
- 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.
</current>
......
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment