Unit test succeeds !!!
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@ -24,7 +24,7 @@
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#include <gtsam/base/Testable.h>
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#include <boost/make_shared.hpp>
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#include <boost/lambda/lambda.hpp>
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#include <boost/foreach.hpp>
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#include <CppUnitLite/TestHarness.h>
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@ -119,6 +119,12 @@ public:
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/// Get the Jacobians from the subtree and apply the chain rule
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std::map<Key, Matrix> jacobians(const Values& values) const {
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std::map<Key, Matrix> terms = expression_.jacobians(values);
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Matrix H;
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// TODO, wasted value calculation, create a combined call
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f_(expression_.value(values), H);
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typedef std::pair<Key, Matrix> Pair;
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BOOST_FOREACH(const Pair& term, terms)
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terms[term.first] = H * term.second;
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return terms;
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}
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};
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@ -158,7 +164,17 @@ public:
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std::map<Key, Matrix> jacobians(const Values& values) const {
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std::map<Key, Matrix> terms1 = expression1_.jacobians(values);
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std::map<Key, Matrix> terms2 = expression2_.jacobians(values);
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return terms2;
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Matrix H1, H2;
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// TODO, wasted value calculation, create a combined call
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f_(expression1_.value(values), expression2_.value(values), H1, H2);
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std::map<Key, Matrix> terms;
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// TODO if Key already exists, add !
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typedef std::pair<Key, Matrix> Pair;
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BOOST_FOREACH(const Pair& term, terms1)
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terms[term.first] = H1 * term.second;
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BOOST_FOREACH(const Pair& term, terms2)
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terms[term.first] = H2 * term.second;
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return terms;
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}
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};
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@ -167,6 +183,7 @@ public:
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void printPair(std::pair<Key, Matrix> pair) {
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std::cout << pair.first << ": " << pair.second << std::endl;
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}
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// usage: std::for_each(terms.begin(), terms.end(), printPair);
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//-----------------------------------------------------------------------------
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/// AD Factor
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@ -179,7 +196,7 @@ class BADFactor: NonlinearFactor {
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/// get value from expression and calculate error with respect to measurement
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Vector unwhitenedError(const Values& values) const {
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const T& value = expression_.value(values);
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return measurement_.localCoordinates(value);
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return value.localCoordinates(measurement_);
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}
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public:
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@ -215,7 +232,6 @@ public:
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// value type is std::pair<Key, Matrix>, specifying the
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// collection of keys and matrices making up the factor.
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std::map<Key, Matrix> terms = expression_.jacobians(values);
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std::for_each(terms.begin(), terms.end(), printPair);
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Vector b = unwhitenedError(values);
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SharedDiagonal model = SharedDiagonal();
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return boost::shared_ptr<JacobianFactor>(
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