Default OpenCV to a single thread.

In my testing, its multi-threading creates much more CPU usage for the
same workload with less reliable results - more false detections!
Perhaps it can only help reduce latency with some high resolution, high
frequency workloads.

2 files changed, 2 insertions, 2 deletions

diff --git a/src/filter/facebl0r/facebl0r.cpp b/src/filter/facebl0r/facebl0r.cpp
index 757e6a2..e7e1e78 100644
--- a/src/filter/facebl0r/facebl0r.cpp
+++ b/src/filter/facebl0r/facebl0r.cpp
@@ -103,7 +103,7 @@ FaceBl0r::FaceBl0r(int wdt, int hgt) {
 recheck = 0.025;
 face_notfound = cvRound(recheck * 1000);
 register_param(recheck, "Recheck", "How often to detect an object in number of frames, divided by 1000");
- threads = 0.0; //number of CPUs
+ threads = 0.01; //number of CPUs
 register_param(threads, "Threads", "How many threads to use divided by 100; 0 uses CPU count");
 search_scale = 0.12; // increase size of search window by 20% on each pass
 register_param(search_scale, "Search scale", "The search window scale factor, divided by 10");
diff --git a/src/filter/facedetect/facedetect.cpp b/src/filter/facedetect/facedetect.cpp
index c7913d8..c39d318 100644
--- a/src/filter/facedetect/facedetect.cpp
+++ b/src/filter/facedetect/facedetect.cpp
@@ -75,7 +75,7 @@ public:
 register_param("/usr/share/opencv/haarcascades/haarcascade_frontalface_default.xml",
 "Classifier",
 "Full path to the XML pattern model for recognition; look in /usr/share/opencv/haarcascades"); 
- threads = 0.0; //number of CPUs
+ threads = 0.01; //number of CPUs
 register_param(threads, "Threads", "How many threads to use divided by 100; 0 uses CPU count");
 shape = 0.0;
 register_param(shape, "Shape", "The shape to draw: 0=circle, 0.1=ellipse, 0.2=rectangle, 1=random");