explicit SegmentTreeBase(std::size_t n, const T& defaultValue = T(), const Merge& merge = Merge()):
n(n),
defaultValue(defaultValue),
shift(calculateShift(n)),
values(shift << 1, defaultValue),
merge(merge) {
}
void process(InputArrayOfArrays _src, std::vector<Mat>& dst)
{
std::vector<Mat> src;
_src.getMatVector(src);
checkImageDimensions(src);
dst.resize(src.size());
size_t pivot = src.size() / 2;
dst[pivot] = src[pivot];
Mat gray_base;
cvtColor(src[pivot], gray_base, COLOR_RGB2GRAY);
std::vector<Point> shifts;
for(size_t i = 0; i < src.size(); i++) {
if(i == pivot) {
shifts.push_back(Point(0, 0));
continue;
}
Mat gray;
cvtColor(src[i], gray, COLOR_RGB2GRAY);
Point shift = calculateShift(gray_base, gray);
shifts.push_back(shift);
shiftMat(src[i], dst[i], shift);
}
if(cut) {
Point max(0, 0), min(0, 0);
for(size_t i = 0; i < shifts.size(); i++) {
if(shifts[i].x > max.x) {
max.x = shifts[i].x;
}
if(shifts[i].y > max.y) {
max.y = shifts[i].y;
}
if(shifts[i].x < min.x) {
min.x = shifts[i].x;
}
if(shifts[i].y < min.y) {
min.y = shifts[i].y;
}
}
Point size = dst[0].size();
for(size_t i = 0; i < dst.size(); i++) {
dst[i] = dst[i](Rect(max, min + size));
}
}
}
// ######################################################################
int main(const int argc, const char **argv)
{
MYLOGVERB = LOG_INFO; // suppress debug messages
volatile int signum = 0;
catchsignals(&signum);
ModelManager manager("Test Motion Energy");
nub::ref<InputFrameSeries> ifs(new InputFrameSeries(manager));
manager.addSubComponent(ifs);
nub::ref<OutputFrameSeries> ofs(new OutputFrameSeries(manager));
manager.addSubComponent(ofs);
nub::ref<FoeDetector> fd(new FoeDetector(manager));
manager.addSubComponent(fd);
if (manager.parseCommandLine((const int)argc, (const char**)argv,
"<stimuli> <options>", 0, 9) == false)
return(1);
fd->reset(NUM_PYR_LEVEL, NUM_DIRS, NUM_SPEEDS);
std::string stimuli("Image");
if(manager.numExtraArgs() > 0)
stimuli = manager.getExtraArgAs<std::string>(0);
LINFO("Stimuli: %s", stimuli.c_str());
manager.start();
Timer timer(1000000);
timer.reset(); // reset the timer
int frame = 0;
PauseWaiter p;
uint step; step = 0;
// to get to the good part
//for(uint i = 0; i < 50; i++) //was 25
// ifs->updateNext();
// get ground truth file
std::string gtFilename
("/lab/tmpib/u/siagian/neuroscience/Data/FOE/driving_nat_Browning.txt");
std::vector<Point2D<int> > gt = getGT(gtFilename);
int ldpos = gtFilename.find_last_of('.');
std::string prefix = gtFilename.substr(0, ldpos);
// for finding ground truth
rutz::shared_ptr<XWinManaged> win;
float totalErr = 0.0;
std::vector<std::string> args;
for(uint i = 0; i < manager.numExtraArgs(); i++)
args.push_back(manager.getExtraArgAs<std::string>(i));
Image<byte> prevLum;
Image<PixRGB<byte> > prevImage;
Image<PixRGB<byte> > prevImage2;
while (1)
{
if (signum != 0)
{
LINFO("quitting because %s was caught", signame(signum));
break;
}
if (ofs->becameVoid())
{
LINFO("quitting because output stream was closed or became void");
break;
}
if (p.checkPause())
continue;
const FrameState is = ifs->updateNext();
if (is == FRAME_COMPLETE) break; // done receiving frames
Image< PixRGB<byte> > input = ifs->readRGB();
if(frame == 0)
{
uint width = input.getWidth();
uint height = input.getHeight();
win.reset(new XWinManaged(Dims(width, height), 0, 0, "GT"));
}
// empty image signifies end-of-stream
if (!input.initialized()) break;
Image<byte> lum = luminance(input);
Point2D<float> pshift(0.0,0.0);
if(step != 0)
{
// calculate planar shift using SIFT
lum = calculateShift(lum,prevLum, ofs);
}
if( manager.numExtraArgs() > 0)
lum = getImage(stimuli, args, fd, step);
// for saving videos
prevImage2 = prevImage;
prevImage = input;
if (!lum.initialized()) break; step++;
// compute the focus of expansion (FOE)
Point2D<int> foe = fd->getFoe(lum, FOE_METHOD_TEMPLATE, false);
//Point2D<int> foe = fd->getFoe(lum, FOE_METHOD_AVERAGE);
LINFO("[%d]Foe: %d %d", frame, foe.i, foe.j);
// illustration of the size of the receptive field
if(!stimuli.compare("ShowRF"))
{
uint rfI = 44;
uint rfJ = 152;
lum.setVal(rfI, rfJ, 300.0F);
drawRect(lum, Rectangle::tlbrI(144,36,159,51), byte(255));
drawRect(lum, Rectangle::tlbrI(148,40,155,47), byte(255));
drawRect(lum, Rectangle::tlbrI(rfJ-8, rfI-8, rfJ+8, rfI+8), byte(255));
drawRect(lum, Rectangle::tlbrI(rfJ-16,rfI-16,rfJ+16,rfI+16), byte(255));
}
ofs->writeGrayLayout(fd->getMTfeaturesDisplay(lum), "MT Features",
FrameInfo("motion energy output images", SRC_POS));
// write the file
if(frame >= 4)
{
float err = foe.distance(gt[frame-2]);
totalErr += err;
LINFO("Foe: %d %d: GT: %d %d --> %f --> avg: %f",
foe.i, foe.j, gt[frame-2].i, gt[frame-2].j,
err, totalErr/(frame-3));
Image<PixRGB<byte> > simg = prevImage2;
drawCross(simg, foe , PixRGB<byte>(0,255,0), 10, 2);
drawCross(simg, gt[frame-2], PixRGB<byte>(255,0,0), 10, 2);
win->drawImage(simg,0,0);
//Raster::WriteRGB(simg, sformat("%s_STnPS_%06d.ppm", prefix.c_str(), frame-2));
}
//ofs->writeGrayLayout
// (lum, "test-FOE Main", FrameInfo("foe output", SRC_POS));
const FrameState os = ofs->updateNext();
//LINFO("frame[%d]: %8.3f %8.3f", frame, pshift.i, pshift.j);
Raster::waitForKey();
if (os == FRAME_FINAL)
break;
prevLum = lum;
frame++;
}
LINFO("%d frames in %gs (%.2ffps)\n",
frame, timer.getSecs(), frame / timer.getSecs());
// stop all our ModelComponents
manager.stop();
// all done!
return 0;
}