bool
HammingLoss::isBestEffort(Crag::CragEdge e, const Crag& crag, const BestEffort& bestEffort) {
if (!_balance)
return bestEffort.selected(e);
// if balanced, non-leaf edges are not considered part of best-effort
if (!crag.isLeafEdge(e))
return false;
std::vector<Crag::CragNode> uPath = getPath(e.u(), crag);
std::vector<Crag::CragNode> vPath = getPath(e.v(), crag);
// are the paths of u and v merging somewhere?
for (Crag::CragNode u : uPath)
for (Crag::CragNode v : vPath) {
if (u == v && bestEffort.selected(u))
return true;
for (Crag::CragEdge e : crag.adjEdges(u))
if (crag.oppositeNode(u, e) == v && bestEffort.selected(e))
return true;
}
return false;
}
std::map<Crag::Node, Crag::Node>
CragStackCombiner::copyNodes(const Crag& source, Crag& target) {
std::map<Crag::Node, Crag::Node> nodeMap;
for (Crag::NodeIt i(source); i != lemon::INVALID; ++i) {
Crag::Node n = target.addNode();
ExplicitVolume<unsigned char> volume = source.getVolume(i);
if (!volume.getBoundingBox().isZero())
target.getVolume(n) = volume;
nodeMap[i] = n;
}
for (Crag::EdgeIt e(source); e != lemon::INVALID; ++e) {
Crag::Node u = nodeMap[source.u(e)];
Crag::Node v = nodeMap[source.v(e)];
target.addAdjacencyEdge(u, v);
}
for (Crag::SubsetArcIt a(source); a != lemon::INVALID; ++a) {
Crag::Node s = nodeMap[source.toRag(source.getSubsetGraph().source(a))];
Crag::Node t = nodeMap[source.toRag(source.getSubsetGraph().target(a))];
target.addSubsetArc(s, t);
}
return nodeMap;
}
bool
AdjacencyAnnotator::isSiblingEdge(Crag& crag, Crag::CragEdge e) {
if (crag.isRootNode(e.u()) || crag.isRootNode(e.v()))
return false;
Crag::CragNode parentU = (*crag.outArcs(e.u()).begin()).target();
Crag::CragNode parentV = (*crag.outArcs(e.v()).begin()).target();
return (parentU == parentV);
}
void
AdjacencyAnnotator::pruneChildEdges(Crag& crag) {
std::vector<Crag::CragEdge> siblingEdges;
for (Crag::CragEdge e : crag.edges())
if (isSiblingEdge(crag, e))
siblingEdges.push_back(e);
for (Crag::CragEdge e : siblingEdges)
crag.erase(e);
LOG_USER(adjacencyannotatorlog) << "pruned " << siblingEdges.size() << " child adjacency edges" << std::endl;
}
void
AdjacencyAnnotator::propagateLeafAdjacencies(Crag& crag) {
_numAdded = 0;
for (Crag::CragNode n : crag.nodes())
if (crag.isRootNode(n))
recurseAdjacencies(crag, n);
if (optionPruneChildEdges)
pruneChildEdges(crag);
LOG_USER(adjacencyannotatorlog)
<< "added " << _numAdded << " super node adjacency edges"
<< std::endl;
}
void
CragStackCombiner::combine(const std::vector<Crag>& crags, Crag& crag) {
LOG_USER(cragstackcombinerlog)
<< "combining CRAGs, "
<< (_requireBbOverlap ? "" : " do not ")
<< "require bounding box overlap"
<< std::endl;
std::map<Crag::Node, Crag::Node> prevNodeMap;
std::map<Crag::Node, Crag::Node> nextNodeMap;
for (unsigned int z = 1; z < crags.size(); z++) {
LOG_USER(cragstackcombinerlog) << "linking CRAG " << (z-1) << " and " << z << std::endl;
if (z == 1)
prevNodeMap = copyNodes(crags[0], crag);
else
prevNodeMap = nextNodeMap;
nextNodeMap = copyNodes(crags[z], crag);
std::vector<std::pair<Crag::Node, Crag::Node>> links = findLinks(crags[z-1], crags[z]);
for (const auto& pair : links)
crag.addAdjacencyEdge(
prevNodeMap[pair.first],
nextNodeMap[pair.second]);
}
}
std::set<Crag::CragNode>
AdjacencyAnnotator::recurseAdjacencies(Crag& crag, Crag::CragNode n) {
LOG_ALL(adjacencyannotatorlog) << "recursing into node " << crag.id(n) << std::endl;
// get all leaf subnodes
std::set<Crag::CragNode> subnodes;
for (Crag::CragArc a : crag.inArcs(n)) {
std::set<Crag::CragNode> a_subnodes = recurseAdjacencies(crag, a.source());
for (Crag::CragNode s : a_subnodes)
subnodes.insert(s);
}
// for each leaf subnode adjacent to a non-subnode, add an adjacency edge to
// the non-subnode
std::set<Crag::CragNode> neighbors;
LOG_ALL(adjacencyannotatorlog) << "subnodes of " << crag.id(n) << " are:" << std::endl;
for (Crag::CragNode s : subnodes) {
LOG_ALL(adjacencyannotatorlog) << "\t" << crag.id(s) << std::endl;
for (Crag::CragEdge e : crag.adjEdges(s)) {
Crag::CragNode neighbor = e.opposite(s);
// not a subnode
if (!subnodes.count(neighbor))
neighbors.insert(neighbor);
}
}
for (Crag::CragNode neighbor : neighbors) {
LOG_ALL(adjacencyannotatorlog)
<< "adding propagated edge between "
<< crag.id(n) << " and " << crag.id(neighbor)
<< std::endl;
crag.addAdjacencyEdge(n, neighbor);
}
_numAdded += neighbors.size();
subnodes.insert(n);
LOG_ALL(adjacencyannotatorlog) << "leaving node " << crag.id(n) << std::endl;
return subnodes;
}
std::vector<Crag::CragNode>
HammingLoss::getPath(Crag::CragNode n, const Crag& crag) {
std::vector<Crag::CragNode> path;
while (true) {
path.push_back(n);
if (crag.isRootNode(n))
break;
n = (*crag.outArcs(n).begin()).target();
}
return path;
}
bool
HammingLoss::isBestEffort(Crag::CragNode n, const Crag& crag, const BestEffort& bestEffort) {
if (!_balance)
return bestEffort.selected(n);
// if balanced, non-leaf nodes are not considered part of best-effort
if (!crag.isLeafNode(n))
return false;
// is any of the parents best-effort?
while (true) {
if (bestEffort.selected(n))
return true;
if (crag.isRootNode(n))
return false;
n = (*crag.outArcs(n).begin()).target();
}
}
std::set<Crag::Node>
collectLeafNodes(const Crag& crag, Crag::Node n) {
std::set<Crag::Node> leafNodes;
if (crag.isLeafNode(n)) {
leafNodes.insert(n);
} else {
for (Crag::SubsetInArcIt e(crag, crag.toSubset(n)); e != lemon::INVALID; ++e) {
Crag::Node child = crag.toRag(crag.getSubsetGraph().source(e));
std::set<Crag::Node> leafs = collectLeafNodes(crag, child);
for (Crag::Node l : leafs)
leafNodes.insert(l);
}
}
return leafNodes;
}
std::vector<std::pair<Crag::Node, Crag::Node>>
CragStackCombiner::findLinks(const Crag& a, const Crag& b) {
UTIL_TIME_METHOD;
HausdorffDistance hausdorff(a, b, 100);
std::vector<std::pair<Crag::Node, Crag::Node>> links;
for (Crag::NodeIt i(a); i != lemon::INVALID; ++i) {
LOG_DEBUG(cragstackcombinerlog) << "checking for links of node " << a.id(i) << std::endl;
for (Crag::NodeIt j(b); j != lemon::INVALID; ++j) {
if (_requireBbOverlap) {
util::box<float, 2> bb_i = a.getVolume(i).getBoundingBox().project<2>();
util::box<float, 2> bb_j = b.getVolume(j).getBoundingBox().project<2>();
if (!bb_i.intersects(bb_j))
continue;
}
double i_j, j_i;
hausdorff.distance(i, j, i_j, j_i);
double distance = std::min(i_j, j_i);
if (distance <= _maxDistance)
links.push_back(std::make_pair(i, j));
}
}
return links;
}
HammingLoss::HammingLoss(
const Crag& crag,
const BestEffort& bestEffort,
int balance) :
Loss(crag),
_balance((balance == 2 && optionBalanceHammingLoss) || (balance == 1)) {
constant = 0;
for (Crag::CragNode n : crag.nodes())
if (isBestEffort(n, crag, bestEffort)) {
if (_balance)
UTIL_ASSERT(crag.isLeafNode(n));;
node[n] = -1;
constant++;
} else {
if (!_balance || crag.isLeafNode(n))
node[n] = 1;
}
for (Crag::CragEdge e : crag.edges())
if (isBestEffort(e, crag, bestEffort)) {
if (_balance)
UTIL_ASSERT(crag.isLeafEdge(e));;
edge[e] = -1;
constant++;
} else {
if (!_balance || crag.isLeafEdge(e))
edge[e] = 1;
}
if (_balance)
propagateLeafLoss(crag);
}
void create_crag() {
// useful for later:
//
//boost::filesystem::path dataDir = dir_of(__FILE__);
//boost::filesystem::path graphfile = dataDir/"star.dat";
Crag crag;
// add 100 nodes
for (int i = 0; i < 100; i++)
crag.addNode();
// create chains of 10 nodes
for (int i = 0; i < 100; i += 10) {
for (int j = i+1; j < i + 10; j++) {
Crag::Node u = crag.nodeFromId(j-1);
Crag::Node v = crag.nodeFromId(j);
crag.addSubsetArc(u, v);
}
}
// check levels of nodes
for (int i = 0; i < 100; i++) {
Crag::Node n = crag.nodeFromId(i);
BOOST_CHECK_EQUAL(crag.getLevel(n), i%10);
if (i%10 == 0)
BOOST_CHECK(crag.isLeafNode(n));
else
BOOST_CHECK(!crag.isLeafNode(n));
if (i%10 == 9)
BOOST_CHECK(crag.isRootNode(n));
else
BOOST_CHECK(!crag.isRootNode(n));
}
}
void hausdorff() {
Crag cragA;
Crag cragB;
CragVolumes volumesA(cragA);
CragVolumes volumesB(cragB);
// add two nodes each
Crag::Node a1 = cragA.addNode();
Crag::Node a2 = cragA.addNode();
Crag::Node b1 = cragB.addNode();
Crag::Node b2 = cragB.addNode();
// add more nodes as parents of a and b
Crag::Node p_a1 = cragA.addNode();
Crag::Node p_b1 = cragB.addNode();
cragA.addSubsetArc(a1, p_a1);
cragB.addSubsetArc(b1, p_b1);
// add more nodes merging p_a1 and a2 (same for b)
Crag::Node root_a = cragA.addNode();
Crag::Node root_b = cragB.addNode();
cragA.addSubsetArc(p_a1, root_a);
cragA.addSubsetArc(a2, root_a);
cragB.addSubsetArc(p_b1, root_b);
cragB.addSubsetArc(b2, root_b);
// create volumes
std::shared_ptr<CragVolume> volumeA1 = std::make_shared<CragVolume>(11, 11, 1);
std::shared_ptr<CragVolume> volumeA2 = std::make_shared<CragVolume>(11, 11, 1);
std::shared_ptr<CragVolume> volumeB1 = std::make_shared<CragVolume>(11, 11, 1);
std::shared_ptr<CragVolume> volumeB2 = std::make_shared<CragVolume>(11, 11, 1);
volumeA2->setOffset(util::point<float, 3>(5, 5, 0));
volumeB2->setOffset(util::point<float, 3>(5, 5, 0));
volumeA1->data() = 0;
volumeA2->data() = 0;
volumeB1->data() = 0;
volumeB2->data() = 0;
// add a stripe for volumeA{1,2} and a dot for volumeB{1,2}
//
// 00000000000 00000000000
// 00000000000 00000000000
// 00000000000 00000000000
// 00000000x00 00000000*00 x=8,y=3
// 00000000000 00000000000
// *********** xxxxxxxxxxx y=5
// 00000000000 00000000000
// 00000000000 00000000000
// 00000000000 00000000000
// 00000000000 00000000000
// 00000000000 00000000000
for (int x = 0; x < 11; x++) {
(*volumeA1)(x, 5, 0) = 1;
(*volumeA2)(x, 5, 0) = 1;
}
(*volumeB1)(8, 3, 0) = 1;
(*volumeB2)(8, 3, 0) = 1;
volumesA.setVolume(a1, volumeA1);
volumesA.setVolume(a2, volumeA2);
volumesB.setVolume(b1, volumeB1);
volumesB.setVolume(b2, volumeB2);
volumesA.fillEmptyVolumes();
volumesB.fillEmptyVolumes();
HausdorffDistance hausdorff(100);
double a_b, b_a;
hausdorff(*volumesA[a1], *volumesB[b1], a_b, b_a);
// Hausdorff should be sqrt(2*2 + 8*8) = 8.25 for A->B and 2 for B->A
BOOST_CHECK_CLOSE(a_b, 8.246, 0.01);
BOOST_CHECK_CLOSE(b_a, 2.0, 0.01);
// same for parents
hausdorff(*volumesA[p_a1], *volumesB[p_b1], a_b, b_a);
BOOST_CHECK_CLOSE(a_b, 8.246, 0.01);
BOOST_CHECK_CLOSE(b_a, 2.0, 0.01);
// between a1 and b2, the distances should be sqrt(3*3 + 13*13) = 13.342
// A->B and sqrt(3*3 + 3*3) = 4.243 for B->A
hausdorff(*volumesA[a1], *volumesB[b2], a_b, b_a);
BOOST_CHECK_CLOSE(a_b, 13.342, 0.01);
BOOST_CHECK_CLOSE(b_a, 4.243, 0.01);
// between root_a and root_b Hausdorff should be sqrt(2*2 + 8*8) = 8.25 for
// A->B and 2 for B->A
hausdorff(*volumesA[root_a], *volumesB[root_b], a_b, b_a);
BOOST_CHECK_CLOSE(a_b, 8.246, 0.01);
BOOST_CHECK_CLOSE(b_a, 2.0, 0.01);
}
void hausdorff_anisotropic() {
Crag cragA;
Crag cragB;
CragVolumes volumesA(cragA);
CragVolumes volumesB(cragB);
// add two nodes each
Crag::Node a1 = cragA.addNode();
Crag::Node a2 = cragA.addNode();
Crag::Node b1 = cragB.addNode();
Crag::Node b2 = cragB.addNode();
// add more nodes as parents of a and b
Crag::Node p_a1 = cragA.addNode();
Crag::Node p_b1 = cragB.addNode();
cragA.addSubsetArc(a1, p_a1);
cragB.addSubsetArc(b1, p_b1);
// add more nodes merging p_a1 and a2 (same for b)
Crag::Node root_a = cragA.addNode();
Crag::Node root_b = cragB.addNode();
cragA.addSubsetArc(p_a1, root_a);
cragA.addSubsetArc(a2, root_a);
cragB.addSubsetArc(p_b1, root_b);
cragB.addSubsetArc(b2, root_b);
// create volumes
std::shared_ptr<CragVolume> volumeA1 = std::make_shared<CragVolume>(11, 11, 1);
std::shared_ptr<CragVolume> volumeA2 = std::make_shared<CragVolume>(11, 11, 1);
std::shared_ptr<CragVolume> volumeB1 = std::make_shared<CragVolume>(11, 11, 1);
std::shared_ptr<CragVolume> volumeB2 = std::make_shared<CragVolume>(11, 11, 1);
volumeA2->setOffset(util::point<float, 3>(5, 6, 0));
volumeB2->setOffset(util::point<float, 3>(5, 6, 0));
volumeA1->setResolution(util::point<float, 3>(1, 2, 1));
volumeA2->setResolution(util::point<float, 3>(1, 2, 1));
volumeB1->setResolution(util::point<float, 3>(1, 2, 1));
volumeB2->setResolution(util::point<float, 3>(1, 2, 1));
volumeA1->data() = 0;
volumeA2->data() = 0;
volumeB1->data() = 0;
volumeB2->data() = 0;
// add a stripe for volumeA{1,2} and a dot for volumeB{1,2}
//
// 00000000000 00000000000
// 00000000000 00000000000
// 00000000000 00000000000
// 00000000x00 00000000*00 x=8,y=3
// 00000000000 00000000000
// *********** xxxxxxxxxxx y=5
// 00000000000 00000000000 * x=13,y=6
// 00000000000 00000000000
// 00000000000 00000xxxxxxxxxxx
// 00000000000 00000000000
// 00000000000 00000000000
for (int x = 0; x < 11; x++) {
(*volumeA1)(x, 5, 0) = 1;
(*volumeA2)(x, 5, 0) = 1;
}
(*volumeB1)(8, 3, 0) = 1;
(*volumeB2)(8, 3, 0) = 1;
volumesA.setVolume(a1, volumeA1);
volumesA.setVolume(a2, volumeA2);
volumesB.setVolume(b1, volumeB1);
volumesB.setVolume(b2, volumeB2);
volumesA.fillEmptyVolumes();
volumesB.fillEmptyVolumes();
{
HausdorffDistance hausdorff(100);
double a_b, b_a;
hausdorff(*volumesA[a1], *volumesB[b1], a_b, b_a);
BOOST_CHECK_CLOSE(a_b, sqrt(4*4 + 8*8), 0.01);
BOOST_CHECK_CLOSE(b_a, sqrt(4*4), 0.01);
// same for parents
hausdorff(*volumesA[p_a1], *volumesB[p_b1], a_b, b_a);
BOOST_CHECK_CLOSE(a_b, sqrt(4*4 + 8*8), 0.01);
BOOST_CHECK_CLOSE(b_a, sqrt(4*4), 0.01);
// b2 is offset by (5,6), which corresponds (5,3) pixels
//
// between a1 and b2, the distances should be sqrt(13*13 + 10*10) A->B and
// sqrt(3*3 + 3*3) = 4.243 for B->A
hausdorff(*volumesA[a1], *volumesB[b2], a_b, b_a);
BOOST_CHECK_CLOSE(a_b, sqrt(13*13 + 2*2), 0.01);
BOOST_CHECK_CLOSE(b_a, sqrt(3*3 + 2*2), 0.01);
// between root_a and root_b Hausdorff should be sqrt(2*2 + 16*16) for A->B
// and 4 for B->A
hausdorff(*volumesA[root_a], *volumesB[root_b], a_b, b_a);
BOOST_CHECK_CLOSE(a_b, sqrt(4*4 + 8*8), 0.01);
BOOST_CHECK_CLOSE(b_a, sqrt(4*4), 0.01);
}
{
HausdorffDistance hausdorff(10);
double a_b, b_a;
hausdorff(*volumesA[a1], *volumesB[b1], a_b, b_a);
BOOST_CHECK_CLOSE(a_b, std::min(10.0, sqrt(4*4 + 8*8)), 0.01);
BOOST_CHECK_CLOSE(b_a, std::min(10.0, sqrt(4*4)), 0.01);
// same for parents
hausdorff(*volumesA[p_a1], *volumesB[p_b1], a_b, b_a);
BOOST_CHECK_CLOSE(a_b, std::min(10.0, sqrt(4*4 + 8*8)), 0.01);
BOOST_CHECK_CLOSE(b_a, std::min(10.0, sqrt(4*4)), 0.01);
// b2 is offset by (5,6), which corresponds (5,3) pixels
//
// between a1 and b2, the distances should be sqrt(13*13 + 10*10) A->B and
// sqrt(3*3 + 3*3) = 4.243 for B->A
hausdorff(*volumesA[a1], *volumesB[b2], a_b, b_a);
BOOST_CHECK_CLOSE(a_b, std::min(10.0, sqrt(13*13 + 2*2)), 0.01);
BOOST_CHECK_CLOSE(b_a, std::min(10.0, sqrt(3*3 + 2*2)), 0.01);
// between root_a and root_b Hausdorff should be sqrt(2*2 + 16*16) for A->B
// and 4 for B->A
hausdorff(*volumesA[root_a], *volumesB[root_b], a_b, b_a);
BOOST_CHECK_CLOSE(a_b, std::min(10.0, sqrt(4*4 + 8*8)), 0.01);
BOOST_CHECK_CLOSE(b_a, std::min(10.0, sqrt(4*4)), 0.01);
}
}
int main(int argc, char** argv) {
try {
util::ProgramOptions::init(argc, argv);
logger::LogManager::init();
Hdf5CragStore cragStore(optionProjectFile.as<std::string>());
Hdf5VolumeStore volumeStore(optionProjectFile.as<std::string>());
Crag crag;
cragStore.retrieveCrag(crag);
NodeFeatures nodeFeatures(crag);
EdgeFeatures edgeFeatures(crag);
LOG_USER(logger::out) << "reading features" << std::endl;
cragStore.retrieveNodeFeatures(crag, nodeFeatures);
cragStore.retrieveEdgeFeatures(crag, edgeFeatures);
BundleOptimizer::Parameters parameters;
parameters.lambda = optionRegularizerWeight;
parameters.epsStrategy = BundleOptimizer::EpsFromGap;
BundleOptimizer optimizer(parameters);
BestEffort* bestEffort = 0;
OverlapLoss* overlapLoss = 0;
if (optionBestEffortFromProjectFile) {
LOG_USER(logger::out) << "reading best-effort" << std::endl;
bestEffort = new BestEffort(crag);
vigra::HDF5File project(
optionProjectFile.as<std::string>(),
vigra::HDF5File::OpenMode::ReadWrite);
project.cd("best_effort");
vigra::ArrayVector<int> beNodes;
vigra::MultiArray<2, int> beEdges;
project.readAndResize("nodes", beNodes);
project.readAndResize("edges", beEdges);
std::set<int> nodes;
for (int n : beNodes)
nodes.insert(n);
std::set<std::pair<int, int>> edges;
for (int i = 0; i < beEdges.shape(1); i++)
edges.insert(
std::make_pair(
std::min(beEdges(i, 0), beEdges(i, 1)),
std::max(beEdges(i, 0), beEdges(i, 1))));
for (Crag::NodeIt n(crag); n != lemon::INVALID; ++n)
bestEffort->node[n] = nodes.count(crag.id(n));
for (Crag::EdgeIt e(crag); e != lemon::INVALID; ++e)
bestEffort->edge[e] = edges.count(
std::make_pair(
std::min(crag.id(crag.u(e)), crag.id(crag.v(e))),
std::max(crag.id(crag.u(e)), crag.id(crag.v(e)))));
} else {
LOG_USER(logger::out) << "reading ground-truth" << std::endl;
ExplicitVolume<int> groundTruth;
volumeStore.retrieveGroundTruth(groundTruth);
LOG_USER(logger::out) << "finding best-effort solution" << std::endl;
overlapLoss = new OverlapLoss(crag, groundTruth);
bestEffort = new BestEffort(crag, *overlapLoss);
}
Loss* loss = 0;
bool destructLoss = false;
if (optionLoss.as<std::string>() == "hamming") {
LOG_USER(logger::out) << "using Hamming loss" << std::endl;
loss = new HammingLoss(crag, *bestEffort);
destructLoss = true;
} else if (optionLoss.as<std::string>() == "overlap") {
LOG_USER(logger::out) << "using overlap loss" << std::endl;
if (!overlapLoss) {
LOG_USER(logger::out) << "reading ground-truth" << std::endl;
ExplicitVolume<int> groundTruth;
volumeStore.retrieveGroundTruth(groundTruth);
LOG_USER(logger::out) << "finding best-effort solution" << std::endl;
overlapLoss = new OverlapLoss(crag, groundTruth);
}
loss = overlapLoss;
} else {
LOG_ERROR(logger::out)
<< "unknown loss: "
<< optionLoss.as<std::string>()
<< std::endl;
return 1;
}
if (optionNormalizeLoss) {
LOG_USER(logger::out) << "normalizing loss..." << std::endl;
loss->normalize(crag, MultiCut::Parameters());
}
Oracle oracle(
crag,
nodeFeatures,
edgeFeatures,
*loss,
*bestEffort);
std::vector<double> weights(nodeFeatures.dims() + edgeFeatures.dims(), 0);
optimizer.optimize(oracle, weights);
storeVector(weights, optionFeatureWeights);
if (destructLoss && loss != 0)
delete loss;
if (overlapLoss)
delete overlapLoss;
if (bestEffort)
delete bestEffort;
} catch (boost::exception& e) {
handleException(e, std::cerr);
}
}
void
PlanarAdjacencyAnnotator::annotate(Crag& crag) {
if (optionCragType.as<std::string>() == "empty")
return;
UTIL_TIME_METHOD;
util::box<float, 3> cragBB = crag.getBoundingBox();
util::point<float, 3> resolution;
for (Crag::NodeIt n(crag); n != lemon::INVALID; ++n) {
if (!crag.isLeafNode(n))
continue;
resolution = crag.getVolume(n).getResolution();
break;
}
// no nodes?
if (resolution.isZero())
return;
// create a vigra multi-array large enough to hold all volumes
vigra::MultiArray<3, int> ids(
vigra::Shape3(
cragBB.width() /resolution.x(),
cragBB.height()/resolution.y(),
cragBB.depth() /resolution.z()),
std::numeric_limits<int>::max());
for (Crag::NodeIt n(crag); n != lemon::INVALID; ++n) {
if (!crag.isLeafNode(n))
continue;
const util::point<float, 3>& volumeOffset = crag.getVolume(n).getOffset();
const util::box<unsigned int, 3>& volumeDiscreteBB = crag.getVolume(n).getDiscreteBoundingBox();
util::point<unsigned int, 3> begin = (volumeOffset - cragBB.min())/resolution;
util::point<unsigned int, 3> end = begin +
util::point<unsigned int, 3>(
volumeDiscreteBB.width(),
volumeDiscreteBB.height(),
volumeDiscreteBB.depth());
vigra::combineTwoMultiArrays(
crag.getVolume(n).data(),
ids.subarray(
vigra::Shape3(
begin.x(),
begin.y(),
begin.z()),
vigra::Shape3(
end.x(),
end.y(),
end.z())),
ids.subarray(
vigra::Shape3(
begin.x(),
begin.y(),
begin.z()),
vigra::Shape3(
end.x(),
end.y(),
end.z())),
vigra::functor::ifThenElse(
vigra::functor::Arg1() == vigra::functor::Param(1),
vigra::functor::Param(crag.id(n)),
vigra::functor::Arg2()
));
}
//vigra::exportImage(
//ids.bind<2>(0),
//vigra::ImageExportInfo("debug/ids.tif"));
typedef vigra::GridGraph<3> GridGraphType;
typedef vigra::AdjacencyListGraph RagType;
GridGraphType grid(
ids.shape(),
_neighborhood == Direct ? vigra::DirectNeighborhood : vigra::IndirectNeighborhood);
RagType rag;
RagType::EdgeMap<std::vector<GridGraphType::Edge>> affiliatedEdges;
vigra::makeRegionAdjacencyGraph(
grid,
ids,
rag,
affiliatedEdges,
std::numeric_limits<int>::max());
unsigned int numAdded = 0;
crag.setGridGraph(grid);
for (RagType::EdgeIt e(rag); e != lemon::INVALID; ++e) {
int u = rag.id(rag.u(*e));
int v = rag.id(rag.v(*e));
Crag::Edge newEdge = crag.addAdjacencyEdge(
crag.nodeFromId(u),
crag.nodeFromId(v));
crag.setAffiliatedEdges(
newEdge,
affiliatedEdges[*e]);
numAdded++;
LOG_ALL(planaradjacencyannotatorlog)
<< "adding leaf node adjacency between "
<< u << " and " << v << std::endl;
}
LOG_USER(planaradjacencyannotatorlog)
<< "added " << numAdded << " leaf node adjacency edges"
<< std::endl;
if (optionCragType.as<std::string>() == "full")
propagateLeafAdjacencies(crag);
}
void
SolutionImageWriter::write(
const Crag& crag,
const CragVolumes& volumes,
const CragSolution& solution,
const std::string& basename,
bool boundary) {
LOG_DEBUG(solutionimagewriterlog) << "storing solution in " << basename << std::endl;
if (_volumesBB.isZero())
_volumesBB = volumes.getBoundingBox();
LOG_DEBUG(solutionimagewriterlog) << "using bounding box of " << _volumesBB << std::endl;
util::point<float, 3> resolution;
for (Crag::CragNode n : crag.nodes()) {
if (!crag.isLeafNode(n))
continue;
resolution = volumes[n]->getResolution();
break;
}
LOG_DEBUG(solutionimagewriterlog) << "using resolution of " << resolution << std::endl;
// create a vigra multi-array large enough to hold all volumes
vigra::MultiArray<3, float> components(
vigra::Shape3(
_volumesBB.width() /resolution.x(),
_volumesBB.height()/resolution.y(),
_volumesBB.depth() /resolution.z()),
std::numeric_limits<int>::max());
// background for areas without candidates
if (boundary)
components = 0.25;
else
components = 0;
for (Crag::CragNode n : crag.nodes()) {
LOG_ALL(solutionimagewriterlog) << "drawing node " << crag.id(n) << std::endl;
// draw only selected nodes
if (!solution.selected(n))
continue;
const util::point<float, 3>& volumeOffset = volumes[n]->getOffset();
const util::box<unsigned int, 3>& volumeDiscreteBB = volumes[n]->getDiscreteBoundingBox();
util::point<unsigned int, 3> begin = (volumeOffset - _volumesBB.min())/resolution;
util::point<unsigned int, 3> end = begin +
util::point<unsigned int, 3>(
volumeDiscreteBB.width(),
volumeDiscreteBB.height(),
volumeDiscreteBB.depth());
LOG_ALL(solutionimagewriterlog) << "\toffset : " << volumeOffset << std::endl;
LOG_ALL(solutionimagewriterlog) << "\tdiscrete bb : " << volumeDiscreteBB << std::endl;
LOG_ALL(solutionimagewriterlog) << "\ttarget area : " << begin << " -- " << end << std::endl;
// fill id of connected component
vigra::combineTwoMultiArrays(
volumes[n]->data(),
components.subarray(TinyVector3UInt(&begin[0]),TinyVector3UInt(&end[0])),
components.subarray(TinyVector3UInt(&begin[0]),TinyVector3UInt(&end[0])),
vigra::functor::ifThenElse(
vigra::functor::Arg1() == vigra::functor::Param(1),
vigra::functor::Param(solution.label(n)),
vigra::functor::Arg2()
));
}
if (boundary) {
// gray boundary for all leaf nodes
for (Crag::CragNode n : crag.nodes())
if (crag.isLeafNode(n))
drawBoundary(volumes, n, components, 0.5);
// black boundary for all selected nodes
for (Crag::CragNode n : crag.nodes())
if (solution.selected(n))
drawBoundary(volumes, n, components, 0);
}
if (components.shape(2) > 1) {
boost::filesystem::create_directory(basename);
for (unsigned int z = 0; z < components.shape(2); z++) {
std::stringstream ss;
ss << std::setw(4) << std::setfill('0') << z;
vigra::exportImage(
components.bind<2>(z),
vigra::ImageExportInfo((basename + "/" + ss.str() + ".tif").c_str()));
}
} else {
vigra::exportImage(
components.bind<2>(0),
vigra::ImageExportInfo((basename + ".tif").c_str()));
}
}
void closed_set_solver() {
/**
* Subsets:
* n7
* / \
* / \
* / \
* n5 n6
* / \ / \
* n1 n2 n3 n4
*
* Adjacencies:
* n7
*
*
* d
* n5--------n6
* \ /
*
* e \ / f
*
* / \
* n1---n2----n3---n4
* a b c
*/
Crag crag;
Crag::CragNode n1 = crag.addNode();
Crag::CragNode n2 = crag.addNode();
Crag::CragNode n3 = crag.addNode();
Crag::CragNode n4 = crag.addNode();
Crag::CragNode n5 = crag.addNode();
Crag::CragNode n6 = crag.addNode();
Crag::CragNode n7 = crag.addNode();
crag.addSubsetArc(n1, n5);
crag.addSubsetArc(n2, n5);
crag.addSubsetArc(n3, n6);
crag.addSubsetArc(n4, n6);
crag.addSubsetArc(n5, n7);
crag.addSubsetArc(n6, n7);
Crag::CragEdge a = crag.addAdjacencyEdge(n1, n2);
Crag::CragEdge b = crag.addAdjacencyEdge(n2, n3);
Crag::CragEdge c = crag.addAdjacencyEdge(n3, n4);
Crag::CragEdge d = crag.addAdjacencyEdge(n5, n6);
Crag::CragEdge e = crag.addAdjacencyEdge(n5, n3);
Crag::CragEdge f = crag.addAdjacencyEdge(n2, n6);
ClosedSetSolver solver(crag);
CragSolution x(crag);
ClosedSetSolver::Status status;
{
Costs costs(crag);
costs.node[n7] = -1;
solver.setCosts(costs);
status = solver.solve(x);
BOOST_CHECK_EQUAL(status, ClosedSetSolver::SolutionFound);
// everything should be turned on
for (Crag::CragNode n : crag.nodes())
BOOST_CHECK(x.selected(n));
for (Crag::CragEdge e : crag.edges())
BOOST_CHECK(x.selected(e));
}
{
Costs costs(crag);
costs.node[n7] = 1;
costs.edge[d] = -1;
solver.setCosts(costs);
status = solver.solve(x);
BOOST_CHECK_EQUAL(status, ClosedSetSolver::SolutionFound);
// everything except n7 should be turned on
for (Crag::CragNode n : crag.nodes())
BOOST_CHECK(n != n7 ? x.selected(n) : !x.selected(n));
for (Crag::CragEdge e : crag.edges())
BOOST_CHECK(x.selected(e));
}
}
void crag_iterators() {
Crag crag;
int numNodes = 10;
for (int i = 0; i < numNodes; i++)
crag.addNode();
int numEdges = 0;
for (int i = 0; i < numNodes; i++)
for (int j = 0; j < numNodes; j++)
if (rand() > RAND_MAX/2) {
crag.addAdjacencyEdge(
crag.nodeFromId(i),
crag.nodeFromId(j));
numEdges++;
}
int numArcs = 0;
for (int i = 0; i < numNodes; i += 5) {
for (int j = i; j < i + 4; j++) {
crag.addSubsetArc(
crag.nodeFromId(j),
crag.nodeFromId(j+1));
numArcs++;
}
}
BOOST_CHECK_EQUAL(crag.nodes().size(), numNodes);
BOOST_CHECK_EQUAL(crag.edges().size(), numEdges);
BOOST_CHECK_EQUAL(crag.arcs().size(), numArcs);
numNodes = 0;
{
//UTIL_TIME_SCOPE("crag node old-school iterator");
//for (int j = 0; j < 1e8; j++)
for (Crag::CragNodeIterator i = crag.nodes().begin(); i != crag.nodes().end(); i++)
numNodes++;
}
{
//UTIL_TIME_SCOPE("crag node iterator");
//for (int j = 0; j < 1e8; j++)
for (Crag::CragNode n : crag.nodes()) {
dontWarnMeAboutUnusedVar(n);
numNodes++;
}
}
{
//UTIL_TIME_SCOPE("lemon node iterator");
//for (int j = 0; j < 1e8; j++)
for (Crag::NodeIt n(crag); n != lemon::INVALID; ++n)
numNodes -= 2;
}
BOOST_CHECK_EQUAL(numNodes, 0);
numEdges = 0;
for (Crag::CragEdge e : crag.edges()) {
dontWarnMeAboutUnusedVar(e);
numEdges++;
}
for (Crag::EdgeIt e(crag); e != lemon::INVALID; ++e)
numEdges--;
BOOST_CHECK_EQUAL(numEdges, 0);
numArcs = 0;
for (Crag::CragArc a : crag.arcs()) {
dontWarnMeAboutUnusedVar(a);
numArcs++;
}
for (Crag::SubsetArcIt a(crag); a != lemon::INVALID; ++a)
numArcs--;
BOOST_CHECK_EQUAL(numArcs, 0);
for (Crag::CragNode n : crag.nodes()) {
int numAdjEdges = 0;
for (Crag::IncEdgeIt e(crag, n); e != lemon::INVALID; ++e)
numAdjEdges++;
BOOST_CHECK_EQUAL(crag.adjEdges(n).size(), numAdjEdges);
for (Crag::CragEdge e : crag.adjEdges(n)) {
dontWarnMeAboutUnusedVar(e);
numAdjEdges--;
}
BOOST_CHECK_EQUAL(numAdjEdges, 0);
int numInArcs = 0;
for (Crag::SubsetInArcIt a(crag, crag.toSubset(n)); a != lemon::INVALID; ++a)
numInArcs++;
BOOST_CHECK_EQUAL(numInArcs, crag.inArcs(n).size());
for (Crag::CragArc a : crag.inArcs(n)) {
dontWarnMeAboutUnusedVar(a);
numInArcs--;
}
BOOST_CHECK_EQUAL(numInArcs, 0);
int numOutArcs = 0;
for (Crag::SubsetOutArcIt a(crag, crag.toSubset(n)); a != lemon::INVALID; ++a)
numOutArcs++;
BOOST_CHECK_EQUAL(numOutArcs, crag.outArcs(n).size());
for (Crag::CragArc a : crag.outArcs(n)) {
dontWarnMeAboutUnusedVar(a);
numOutArcs--;
}
BOOST_CHECK_EQUAL(numOutArcs, 0);
Crag::CragEdgeIterator cei = crag.edges().begin();
Crag::EdgeIt ei(crag);
while (ei != lemon::INVALID) {
BOOST_CHECK((Crag::RagType::Node)((*cei).u()) == crag.getAdjacencyGraph().u(ei));
BOOST_CHECK((Crag::RagType::Node)((*cei).v()) == crag.getAdjacencyGraph().v(ei));
++cei;
++ei;
}
Crag::CragArcIterator cai = crag.arcs().begin();
Crag::SubsetArcIt ai(crag);
while (ai != lemon::INVALID) {
BOOST_CHECK(crag.toSubset((*cai).source()) == crag.getSubsetGraph().source(ai));
BOOST_CHECK(crag.toSubset((*cai).target()) == crag.getSubsetGraph().target(ai));
++cai;
++ai;
}
}
}
int main(int argc, char** argv) {
UTIL_TIME_SCOPE("main");
try {
util::ProgramOptions::init(argc, argv);
logger::LogManager::init();
util::point<float, 3> resolution(
optionResX,
optionResY,
optionResZ);
util::point<float, 3> offset(
optionOffsetX,
optionOffsetY,
optionOffsetZ);
Crag* crag = new Crag();
CragVolumes* volumes = new CragVolumes(*crag);
Costs* mergeCosts = 0;
CragImport import;
bool alreadyDownsampled = false;
if (optionMergeTree) {
UTIL_TIME_SCOPE("read CRAG from mergetree");
// get information about the image to read
std::string mergeTreePath = optionMergeTree;
if (boost::filesystem::is_directory(boost::filesystem::path(mergeTreePath))) {
std::vector<std::string> files = getImageFiles(mergeTreePath);
// process one image after another
std::vector<std::unique_ptr<Crag>> crags(files.size());
std::vector<std::unique_ptr<CragVolumes>> cragsVolumes;
for (auto& c : crags) {
c = std::unique_ptr<Crag>(new Crag);
cragsVolumes.push_back(std::unique_ptr<CragVolumes>(new CragVolumes(*c)));
}
int i = 0;
for (std::string file : files) {
LOG_USER(logger::out) << "reading crag from " << file << std::endl;
import.readCrag(file, *crags[i], *cragsVolumes[i], resolution, offset + util::point<float, 3>(0, 0, resolution.z()*i));
i++;
}
if (optionDownsampleCrag) {
UTIL_TIME_SCOPE("downsample CRAG");
DownSampler downSampler(optionMinCandidateSize.as<int>());
std::vector<std::unique_ptr<Crag>> downSampledCrags(crags.size());
std::vector<std::unique_ptr<CragVolumes>> downSampledVolumes(crags.size());
for (int i = 0; i < crags.size(); i++) {
downSampledCrags[i] = std::unique_ptr<Crag>(new Crag());
downSampledVolumes[i] = std::unique_ptr<CragVolumes>(new CragVolumes(*downSampledCrags[i]));
downSampler.process(*crags[i], *cragsVolumes[i], *downSampledCrags[i], *downSampledVolumes[i]);
}
std::swap(cragsVolumes, downSampledVolumes);
std::swap(crags, downSampledCrags);
// prevent another downsampling on the candidates added by
// the combiner
alreadyDownsampled = true;
}
// combine crags
CragStackCombiner combiner;
combiner.combine(crags, cragsVolumes, *crag, *volumes);
} else {
import.readCrag(mergeTreePath, *crag, *volumes, resolution, offset);
}
} else if (optionSupervoxels.as<bool>() && (optionMergeHistory.as<bool>() || optionCandidateSegmentation.as<bool>())) {
UTIL_TIME_SCOPE("read CRAG from merge history");
if (optionMergeHistory) {
std::string mergeHistoryPath = optionMergeHistory;
if (boost::filesystem::is_directory(boost::filesystem::path(mergeHistoryPath))) {
// get all merge-history files
std::vector<std::string> mhFiles;
for (boost::filesystem::directory_iterator i(mergeHistoryPath); i != boost::filesystem::directory_iterator(); i++)
if (!boost::filesystem::is_directory(*i) && (
i->path().extension() == ".txt" ||
i->path().extension() == ".dat"
))
mhFiles.push_back(i->path().native());
std::sort(mhFiles.begin(), mhFiles.end());
// get all supervoxel files
std::vector<std::string> svFiles = getImageFiles(optionSupervoxels);
// process one image after another
std::vector<std::unique_ptr<Crag>> crags(mhFiles.size());
std::vector<std::unique_ptr<CragVolumes>> cragsVolumes;
for (auto& c : crags) {
c = std::unique_ptr<Crag>(new Crag);
cragsVolumes.push_back(std::unique_ptr<CragVolumes>(new CragVolumes(*c)));
}
for (int i = 0; i < mhFiles.size(); i++) {
LOG_USER(logger::out) << "reading crag from supervoxel file " << svFiles[i] << " and merge history " << mhFiles[i] << std::endl;
Costs mergeCosts(*crags[i]);
import.readCragFromMergeHistory(svFiles[i], mhFiles[i], *crags[i], *cragsVolumes[i], resolution, offset + util::point<float, 3>(0, 0, resolution.z()*i), mergeCosts);
}
if (optionDownsampleCrag) {
UTIL_TIME_SCOPE("downsample CRAG");
DownSampler downSampler(optionMinCandidateSize.as<int>());
std::vector<std::unique_ptr<Crag>> downSampledCrags(crags.size());
std::vector<std::unique_ptr<CragVolumes>> downSampledVolumes(crags.size());
for (int i = 0; i < crags.size(); i++) {
downSampledCrags[i] = std::unique_ptr<Crag>(new Crag());
downSampledVolumes[i] = std::unique_ptr<CragVolumes>(new CragVolumes(*downSampledCrags[i]));
downSampler.process(*crags[i], *cragsVolumes[i], *downSampledCrags[i], *downSampledVolumes[i]);
}
std::swap(cragsVolumes, downSampledVolumes);
std::swap(crags, downSampledCrags);
// prevent another downsampling on the candidates added by
// the combiner
alreadyDownsampled = true;
}
// combine crags
CragStackCombiner combiner;
combiner.combine(crags, cragsVolumes, *crag, *volumes);
} else {
mergeCosts = new Costs(*crag);
import.readCragFromMergeHistory(optionSupervoxels, optionMergeHistory, *crag, *volumes, resolution, offset, *mergeCosts);
}
} else
import.readCragFromCandidateSegmentation(optionSupervoxels, optionCandidateSegmentation, *crag, *volumes, resolution, offset);
} else {
LOG_ERROR(logger::out)
<< "at least one of mergetree or (supervoxels && mergeHistory) "
<< "have to be given to create a CRAG" << std::endl;
return 1;
}
if (optionDownsampleCrag && !alreadyDownsampled) {
UTIL_TIME_SCOPE("downsample CRAG");
Crag* downSampled = new Crag();
CragVolumes* downSampledVolumes = new CragVolumes(*downSampled);
if (optionMinCandidateSize) {
DownSampler downSampler(optionMinCandidateSize.as<int>());
downSampler.process(*crag, *volumes, *downSampled, *downSampledVolumes);
} else {
DownSampler downSampler;
downSampler.process(*crag, *volumes, *downSampled, *downSampledVolumes);
}
delete crag;
delete volumes;
if (mergeCosts) {
delete mergeCosts;
mergeCosts = 0;
}
crag = downSampled;
volumes = downSampledVolumes;
}
{
UTIL_TIME_SCOPE("find CRAG adjacencies");
PlanarAdjacencyAnnotator annotator(PlanarAdjacencyAnnotator::Direct);
annotator.annotate(*crag, *volumes);
}
// Statistics
int numNodes = 0;
int numRootNodes = 0;
double sumSubsetDepth = 0;
int maxSubsetDepth = 0;
int minSubsetDepth = 1e6;
for (Crag::NodeIt n(*crag); n != lemon::INVALID; ++n) {
if (crag->isRootNode(n)) {
int depth = crag->getLevel(n);
sumSubsetDepth += depth;
minSubsetDepth = std::min(minSubsetDepth, depth);
maxSubsetDepth = std::max(maxSubsetDepth, depth);
numRootNodes++;
}
numNodes++;
}
int numAdjEdges = 0;
for (Crag::EdgeIt e(*crag); e != lemon::INVALID; ++e)
numAdjEdges++;
int numSubEdges = 0;
for (Crag::SubsetArcIt e(*crag); e != lemon::INVALID; ++e)
numSubEdges++;
LOG_USER(logger::out) << "created CRAG" << std::endl;
LOG_USER(logger::out) << "\t# nodes : " << numNodes << std::endl;
LOG_USER(logger::out) << "\t# root nodes : " << numRootNodes << std::endl;
LOG_USER(logger::out) << "\t# adjacencies : " << numAdjEdges << std::endl;
LOG_USER(logger::out) << "\t# subset edges : " << numSubEdges << std::endl;
LOG_USER(logger::out) << "\tmax subset depth : " << maxSubsetDepth << std::endl;
LOG_USER(logger::out) << "\tmin subset depth : " << minSubsetDepth << std::endl;
LOG_USER(logger::out) << "\tmean subset depth: " << sumSubsetDepth/numRootNodes << std::endl;
// Store CRAG and volumes
boost::filesystem::remove(optionProjectFile.as<std::string>());
Hdf5CragStore store(optionProjectFile.as<std::string>());
{
UTIL_TIME_SCOPE("saving CRAG");
store.saveCrag(*crag);
store.saveVolumes(*volumes);
if (mergeCosts)
store.saveCosts(*crag, *mergeCosts, "merge-scores");
}
{
UTIL_TIME_SCOPE("saving volumes");
Hdf5VolumeStore volumeStore(optionProjectFile.as<std::string>());
ExplicitVolume<float> intensities = readVolume<float>(getImageFiles(optionIntensities));
intensities.setResolution(resolution);
intensities.setOffset(offset);
intensities.normalize();
volumeStore.saveIntensities(intensities);
if (optionGroundTruth) {
ExplicitVolume<int> groundTruth = readVolume<int>(getImageFiles(optionGroundTruth));
if (optionExtractGroundTruthLabels) {
vigra::MultiArray<3, int> tmp(groundTruth.data().shape());
vigra::labelMultiArrayWithBackground(
groundTruth.data(),
tmp);
groundTruth.data() = tmp;
}
groundTruth.setResolution(resolution);
groundTruth.setOffset(offset);
volumeStore.saveGroundTruth(groundTruth);
}
if (optionBoundaries) {
ExplicitVolume<float> boundaries = readVolume<float>(getImageFiles(optionBoundaries));
boundaries.setResolution(resolution);
boundaries.setOffset(offset);
boundaries.normalize();
volumeStore.saveBoundaries(boundaries);
}
bool atLeastOneAffinity = optionXAffinities || optionYAffinities || optionZAffinities;
bool allAfinities = optionXAffinities && optionYAffinities && optionZAffinities;
if (atLeastOneAffinity) {
if (!allAfinities) {
LOG_ERROR(logger::out)
<< "One of the affinities was not provided. "
<< "Affinities will be ignored." << std::endl;
} else {
ExplicitVolume<float> xAffinities = readVolume<float>(getImageFiles(optionXAffinities));
ExplicitVolume<float> yAffinities = readVolume<float>(getImageFiles(optionYAffinities));
ExplicitVolume<float> zAffinities = readVolume<float>(getImageFiles(optionZAffinities));
volumeStore.saveAffinities( xAffinities, yAffinities, zAffinities);
}
}
}
delete crag;
delete volumes;
delete mergeCosts;
if (optionImportTrainingResult) {
LOG_USER(logger::out)
<< "importing training results from "
<< optionImportTrainingResult.as<std::string>()
<< std::endl;
Hdf5CragStore trainingStore(optionImportTrainingResult.as<std::string>());
FeatureWeights weights;
FeatureWeights min;
FeatureWeights max;
trainingStore.retrieveFeatureWeights(weights);
trainingStore.retrieveFeaturesMin(min);
trainingStore.retrieveFeaturesMax(max);
store.saveFeatureWeights(weights);
store.saveFeaturesMin(min);
store.saveFeaturesMax(max);
}
} catch (Exception& e) {
handleException(e, std::cerr);
}
}
