fix CV_8UC1 thresholds for direct cv::Mat4b gpgpu ACF texture processing (these were being scaled (x 255) correctly during *.mat and *.cpb deserialization but they also required a conversion to CV_8UC1 format — CV_Assert() tests have been added to cover this case
various updates to the pipeline test to support direct in report testsing and comparison between the ACF cpu pyramid based processing and the optimized GPGPU pyramid approximation
refactoring of GPUDetectionPipeline to accomodate both CPU and interleaved read/rocessing GPU based pipelines
return backing cv::Mat storage for FrameInput in pipeline Application test : getFrameInput(ogles_gpgpu::FrmaeInput &frame)
add pipeline GPUDetectionPipeline flags to toggle cpu/gpu processing for comparison/debugging
move VideoCaptureImage.{h,cpp} to separate files
add --size=x command line option since there is no generic approach for selecting either max or other valid camera resolution using cv::VideoCapture
add simple parallel_for evaluation of detection scales (use randomized indices for first scheduler)
*.mat
and*.cpb
deserialization but they also required a conversion to CV_8UC1 format — CV_Assert() tests have been added to cover this case