本文整理汇总了C++中BLOBNBOX::flow方法的典型用法代码示例。如果您正苦于以下问题：C++ BLOBNBOX::flow方法的具体用法？C++ BLOBNBOX::flow怎么用？C++ BLOBNBOX::flow使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类BLOBNBOX的用法示例。
在下文中一共展示了BLOBNBOX::flow方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: Evaluate
// Evaluate the vector in terms of coverage of its length by good-looking
// box edges. A good looking box is one where its nearest neighbour on the
// inside is nearer than half the distance its nearest neighbour on the
// outside of the putative column. Bad boxes are removed from the line.
// A second pass then further filters boxes by requiring that the gutter
// width be a minimum fraction of the mean gutter along the line.
void TabVector::Evaluate(const ICOORD& vertical, TabFind* finder) {
bool debug = false;
needs_evaluation_ = false;
int length = endpt_.y() - startpt_.y();
if (length == 0 || boxes_.empty()) {
percent_score_ = 0;
Print("Zero length in evaluate");
return;
}
// Compute the mean box height.
BLOBNBOX_C_IT it(&boxes_);
int mean_height = 0;
int height_count = 0;
for (it.mark_cycle_pt(); !it.cycled_list(); it.forward()) {
BLOBNBOX* bbox = it.data();
const TBOX& box = bbox->bounding_box();
int height = box.height();
mean_height += height;
++height_count;
}
if (height_count > 0) mean_height /= height_count;
int max_gutter = kGutterMultiple * mean_height;
if (IsRagged()) {
// Ragged edges face a tougher test in that the gap must always be within
// the height of the blob.
max_gutter = kGutterToNeighbourRatio * mean_height;
}
STATS gutters(0, max_gutter + 1);
// Evaluate the boxes for their goodness, calculating the coverage as we go.
// Remove boxes that are not good and shorten the list to the first and
// last good boxes.
int num_deleted_boxes = 0;
bool text_on_image = false;
int good_length = 0;
const TBOX* prev_good_box = NULL;
for (it.mark_cycle_pt(); !it.cycled_list(); it.forward()) {
BLOBNBOX* bbox = it.data();
const TBOX& box = bbox->bounding_box();
int mid_y = (box.top() + box.bottom()) / 2;
if (TabFind::WithinTestRegion(2, XAtY(box.bottom()), box.bottom())) {
if (!debug) {
tprintf("After already deleting %d boxes, ", num_deleted_boxes);
Print("Starting evaluation");
}
debug = true;
}
// A good box is one where the nearest neighbour on the inside is closer
// than half the distance to the nearest neighbour on the outside
// (of the putative column).
bool left = IsLeftTab();
int tab_x = XAtY(mid_y);
int gutter_width;
int neighbour_gap;
finder->GutterWidthAndNeighbourGap(tab_x, mean_height, max_gutter, left,
bbox, &gutter_width, &neighbour_gap);
if (debug) {
tprintf("Box (%d,%d)->(%d,%d) has gutter %d, ndist %d\n",
box.left(), box.bottom(), box.right(), box.top(),
gutter_width, neighbour_gap);
}
// Now we can make the test.
if (neighbour_gap * kGutterToNeighbourRatio <= gutter_width) {
// A good box contributes its height to the good_length.
good_length += box.top() - box.bottom();
gutters.add(gutter_width, 1);
// Two good boxes together contribute the gap between them
// to the good_length as well, as long as the gap is not
// too big.
if (prev_good_box != NULL) {
int vertical_gap = box.bottom() - prev_good_box->top();
double size1 = sqrt(static_cast<double>(prev_good_box->area()));
double size2 = sqrt(static_cast<double>(box.area()));
if (vertical_gap < kMaxFillinMultiple * MIN(size1, size2))
good_length += vertical_gap;
if (debug) {
tprintf("Box and prev good, gap=%d, target %g, goodlength=%d\n",
vertical_gap, kMaxFillinMultiple * MIN(size1, size2),
good_length);
}
} else {
// Adjust the start to the first good box.
SetYStart(box.bottom());
}
prev_good_box = &box;
if (bbox->flow() == BTFT_TEXT_ON_IMAGE)
text_on_image = true;
} else {
// Get rid of boxes that are not good.
if (debug) {
tprintf("Bad Box (%d,%d)->(%d,%d) with gutter %d, ndist %d\n",
box.left(), box.bottom(), box.right(), box.top(),
gutter_width, neighbour_gap);
}
//.........这里部分代码省略.........