uint8_t ADMVideoYadif::configure( AVDMGenericVideoStream *instream)
{
_in= instream;
diaMenuEntry tMode[]={
{0, QT_TR_NOOP("Temporal & spatial check"),NULL},
{1, QT_TR_NOOP("Bob, temporal & spatial check"),NULL},
{2, QT_TR_NOOP("Skip spatial temporal check"),NULL},
{3, QT_TR_NOOP("Bob, skip spatial temporal check"),NULL}
};
diaMenuEntry tOrder[]={
{0, QT_TR_NOOP("Bottom field first"),NULL},
{1, QT_TR_NOOP("Top field first"),NULL}
};
diaElemMenu mMode(&(_param->mode), QT_TR_NOOP("_Mode:"), 4,tMode);
diaElemMenu morder(&(_param->order), QT_TR_NOOP("_Order:"), 2,tOrder);
diaElem *elems[]={&mMode,&morder};
if(diaFactoryRun(QT_TR_NOOP("yadif"),sizeof(elems)/sizeof(diaElem *),elems))
{
updateInfo();
return 1;
}
return 0;
}
void calculateNeighbours(int* iv_id, int* im_pos, int* im_nbs, double* iv_ss, int* iv_type, int* nP, int* pP, double* phiP)
{
//Initialise input variables
int* v_id = iv_id;
int* m_pos = im_pos;
int* m_nbs = im_nbs;
int* v_type = iv_type;
double* v_ss = iv_ss;
int n = *nP;
int p = *pP;
double phi = *phiP;
//Initialise temporary variables
bool clsenb = false;
int d = 0;
int itmp = 0;
double dtmp = 0;
int* col = new int[n];
int* new_order = new int[n];
int* id_order = new int[n];
int* v_id_copy = new int[n];
int* m_pos_copy = new int[p*n];
int* m_nbs_tmp = new int[2*n];
double* v_tmp = new double[n];
//initialise new arrrays as required.
for(int i = 0; i < n; i++) {
m_nbs_tmp[2*i] = 0;
m_nbs_tmp[2*i + 1] = 0;
v_tmp[i] = 0;
}
// ***********************************************************
// --Outer Loop: for dimension d, get left and right neighbours:
// ***********************************************************
// start with column 1 (zero indexed in C)
for(d = 0; d < p; d++)
{
// --get the order of this column (1. copying contents of column to feed into mergesort).
// -- (2. Create order, returned in 'new_order')
for(int i = 0; i < n; i++) {
col[i] = m_pos[d*n + i];
}
morder(col, n, new_order);
// --Perform re-ordering of 'm_nbs' and 'v_id' based on this order.
// --Need inverse of v_id for returning results - returned in 'id_order'
reorderMatrix(m_pos, m_pos_copy, new_order, n, p);
reorderVec(v_id, v_id_copy, new_order, n);
morder(v_id, n, id_order);
// *********************************************************
// --Inner Loop: This is the actual data generation: the 'Get Neighbours' part of the script.
// *********************************************************
for(int i = 0; i < n-1; i++) {
// --Insert above and below neighbours from the current order into m_nbs output.
m_nbs_tmp[i] = v_id[i+1];
m_nbs_tmp[n + i+1] = v_id[i];
// --Calculate metrics by assessing the entire row (1:p)
for(int c = 0; c < p; c++) {
//Get position of neighbour in dimension c. By looking at Right neighbour @ n+1, and left
// neighbour @ n, we can re-use a single distance value, as the only difference will be the sign.
// we're not concerned with the sign. itmp = distance. Define nb as close:= abs(dist) < 1.
itmp = m_pos[i+1 + c*n] - m_pos[i + c*n];
((itmp > 1) || (itmp < -1)) ? clsenb = false : clsenb = true;
// .....For 'Right' Neighbour................
if (!clsenb) {
m_nbs_tmp[i] = 0;
}
// Add square distance to sum of sqs.
v_tmp[i] += itmp*itmp;
// .....Repeat for 'Left' Neighbour............
if (!clsenb) {
m_nbs_tmp[n + i+1] = 0;
}
v_tmp[i+1] += itmp*itmp;
}
// *********************************************************
// --End of inner loop
// *********************************************************
}
// --Calculate root sum of squared distance and add to root sum of square distance from other
// dimensional orderings. First and last entry only have one neighbour, so to avoid changing the
// denominator later on, we double these. Minimum value to add is 1 to avoid DIV/0 Errors.
for(int i = 1; i < n-1; i++)
{
dtmp = v_tmp[id_order[i]];
if (dtmp < 1) {
v_ss[i] +=1;
}
else {
v_ss[i] += sqrt(dtmp);
}
}
// (first and last - separately to avoid p*n 'if' comparisons in the for loop.)
dtmp = v_tmp[id_order[0]];
(dtmp < 1) ? v_ss[0] += 2 : v_ss[0] += 2*sqrt(dtmp);
dtmp = v_tmp[id_order[n-1]];
(dtmp < 1) ? v_ss[n-1] += 2 : v_ss[n-1] += 2*sqrt(dtmp);
// Clear sum of squares array to start from scratch for next dim.
for(int i = 1; i <n; i++) {
v_tmp[i] = 0;
}
// Input neighbours into output array. Need to reorder based on original id now.
for(int i = 0; i < n; i++)
{
m_nbs[2*d*n + i] = m_nbs_tmp[id_order[i]];
m_nbs[(2*d+1)*n + i] = m_nbs_tmp[id_order[i] + n];
}
// *********************************************************
// --End of outer loop
// *********************************************************
}
// *****Final operation: Density Calculation.***************
// --Compute density = p/n. If density > phi, then point is interior; type = 1.
for(int i = 0; i < n; i++)
{
if (p/v_ss[i] > phi) {
v_type[i] = 1;
}
else {
v_type[i] = 0;
}
}
delete[] col;
delete[] new_order;
delete[] id_order;
delete[] v_id_copy;
delete[] m_pos_copy;
delete[] m_nbs_tmp;
delete[] v_tmp;
return;
}
