(use "git reset HEAD <file>..." to unstage)
modified: highgui/include/opencv2/highgui/highgui_c.h
modified: highgui/src/cap_dshow.cpp
modified: java/generator/gen_java.py
The correction of the orthographic error in the enumeration constant
CAP_PROP_MONOCROME has been undone.
Explicitly linking to a Python framework on OS X prevents modules from
being built against one python (i.e. system python) and imported from
another (i.e. Homebrew python); the interpreter segfaults if there's a
linkage to a foreign python. Building the module with `-undefined
dynamic_lookup` instead of an explicit link allows the symbols to be
resolved at load time from a compatible python.
(use "git reset HEAD <file>..." to unstage)
modified: modules/highgui/include/opencv2/highgui/highgui_c.h
modified: modules/highgui/src/cap_dshow.cpp
modified: modules/highgui/src/cap_pvapi.cpp
modified: modules/java/generator/gen_java.py
Änderungen in der PvAPI hinzugefügt.
Current implementation of miniflann is releasing the trained index, and
rebuilding the index from the beginning.
But, some indexing algorithms like the LSH are able to add the indexing
data after that.
This branch is implementation of that optimization for LshIndex
FlannBasedMatcher in the feature2d.
previous implementation was not thread/stream safe, since it used constant
memory
new implementation doesn't use any global objects, so it is thread/stream safe
move hog::set_up_constants from constructor to compute method
if user changed CUDA device between constructor and computation,
some variables were uninitialized
1) Fixed deadlock if camera is started and stopped immediately
2) Invalid pattern usage of Object.wait(). Refer to "spurious wakeup": http://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#wait
3) Fixed buffer usage:
a) fix eliminates processing of zero NV12 (green in RGB) first frame
b) latest ready frame is delivered for processing (not previous)