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rajnish #22
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…g a Socket based Camera.
… OpenCV manipulated, video images over a socket served camera. Fixed a bunch of memory leaks in the CVJni and WLNonFileByteStream classes. Made the VideoEmulation project the default project that runs from the Application.mk.
Changed the default socket camera image size to 640 x 480 in order to get better results from the face tracking algorithm.
Provide a sample haar classifier XML.
… leave the activity and come back it doesn't hang.
Added optimizations to the haar detection that I found on other sites. These optimizations replace most floating point values with integers because integer calculations are more effecient on ARM processors. We currently don't support canny pruning. Modified the VideoEmulation test to run face tracking instead of find contours.
Did a major refactor in order to break up some of the functionality and allow users to have more control over what exactly they wanted to do. Now you don't always receive the source image and are not required to pass one in. Instead you can use a camera capture and grab source images from there. Started returning the faces as an array of Android Rects when find faces is called.
…e adjust the minimum face size to take into account the size of the last face we tracked with some additional size padding. Also, removed some unnecessary logic. We were keeping a boolean that tracked if we were doing single or multiple face tracking, but we never did anything interesting with it...
…ndroid NDK will not work with OpenCV-Android.
…ent variable instead of building our own. This fixes a bug in the Android NDK r3. Also, fixed a #elif with no condition (changed it to a #else) in cxmisc.h that was preventing opencv from compiling in Android NDK r3.
…d NDK r5. Fix the Readme to reflect the build procedure changes and address an issue that causes the QTWebcamBroadcaster to fail to run in 64-bit mode.
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hi