void TransfersContentsWidget::addTransfer(Transfer *transfer)
{
QList<QStandardItem*> items;
QStandardItem *item = new QStandardItem();
item->setData(qVariantFromValue(static_cast<void*>(transfer)), Qt::UserRole);
item->setFlags(item->flags() | Qt::ItemNeverHasChildren);
items.append(item);
item = new QStandardItem(QFileInfo(transfer->getTarget()).fileName());
item->setFlags(item->flags() | Qt::ItemNeverHasChildren);
items.append(item);
for (int i = 2; i < m_model->columnCount(); ++i)
{
item = new QStandardItem();
item->setFlags(item->flags() | Qt::ItemNeverHasChildren);
items.append(item);
}
m_model->appendRow(items);
if (transfer->getState() == Transfer::RunningState)
{
m_speeds[transfer] = QQueue<qint64>();
}
updateTransfer(transfer);
}
bool HMMSoftAutomaton::iterateTrain() {
int idx, idy;
initIterate();
// 对所有的template做迭代
for(idx = 0; idx < templates->size(); idx++) {
calcAlphaBeta((*templates)[idx]);
// 1. 根据alpha 和 beta的缓存更新template的feature在各个状态的分布
updateTemplateNode(idx);
// 2. 更新计算s->sNxt , 累加而已
updateTemplateTransfer(idx);
}
bool bigChange = updateTransfer();
/*
for(int i = 1;i <= stateNum; i++) {
for(int j = 1;j <= stateNum; j++) {
printf("%lf ", transferCost[i][j]);
}
puts("");
}
*/
for(idx = 1; idx <= stateNum; idx++) {
getState(idx)->gaussianTrain(gaussNum);
}
return bigChange;
}
void TransfersContentsWidget::addTransfer(TransferInformation *transfer)
{
if (!transfer || transfer->isHidden)
{
return;
}
QList<QStandardItem*> items;
QStandardItem *item = new QStandardItem();
item->setData(qVariantFromValue((void*) transfer), Qt::UserRole);
items.append(item);
item = new QStandardItem(QFileInfo(transfer->target).fileName());
items.append(item);
for (int i = 2; i < m_model->columnCount(); ++i)
{
items.append(new QStandardItem());
}
m_model->appendRow(items);
if (transfer->state == RunningTransfer)
{
m_speeds[transfer] = QQueue<qint64>();
}
updateTransfer(transfer);
}
void KisBrightnessContrastFilterConfiguration::setCurve(const KisCubicCurve &curve)
{
m_curve = curve;
updateTransfer();
}