Unite cancel callback and status function
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@ -94,8 +94,7 @@ Transform3f to_transform3f(const XYRotation &rot)
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Vec2d find_best_rotation(const SLAPrintObject & po,
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Vec2d find_best_rotation(const SLAPrintObject & po,
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float accuracy,
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float accuracy,
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std::function<void(unsigned)> statuscb,
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std::function<bool(int)> statuscb)
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std::function<bool()> stopcond)
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{
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{
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static const unsigned MAX_TRIES = 1000;
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static const unsigned MAX_TRIES = 1000;
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@ -108,7 +107,7 @@ Vec2d find_best_rotation(const SLAPrintObject & po,
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mesh.require_shared_vertices();
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mesh.require_shared_vertices();
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// To keep track of the number of iterations
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// To keep track of the number of iterations
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unsigned status = 0;
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int status = 0;
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// The maximum number of iterations
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// The maximum number of iterations
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auto max_tries = unsigned(accuracy * MAX_TRIES);
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auto max_tries = unsigned(accuracy * MAX_TRIES);
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@ -118,7 +117,11 @@ Vec2d find_best_rotation(const SLAPrintObject & po,
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auto statusfn = [&statuscb, &status, &max_tries] {
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auto statusfn = [&statuscb, &status, &max_tries] {
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// report status
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// report status
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statuscb(unsigned(++status * 100.0/max_tries) );
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statuscb(++status * 100.0/max_tries);
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};
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auto stopcond = [&statuscb] {
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return ! statuscb(-1);
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};
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};
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// Preparing the optimizer.
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// Preparing the optimizer.
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@ -19,19 +19,19 @@ namespace sla {
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* @param accuracy The optimization accuracy from 0.0f to 1.0f. Currently,
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* @param accuracy The optimization accuracy from 0.0f to 1.0f. Currently,
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* the nlopt genetic optimizer is used and the number of iterations is
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* the nlopt genetic optimizer is used and the number of iterations is
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* accuracy * 100000. This can change in the future.
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* accuracy * 100000. This can change in the future.
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* @param statuscb A status indicator callback called with the unsigned
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* @param statuscb A status indicator callback called with the int
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* argument spanning from 0 to 100. May not reach 100 if the optimization finds
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* argument spanning from 0 to 100. May not reach 100 if the optimization finds
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* an optimum before max iterations are reached.
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* an optimum before max iterations are reached. It should return a boolean
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* @param stopcond A function that if returns true, the search process will be
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* signaling if the operation may continue (true) or not (false). A status
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* terminated and the best solution found will be returned.
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* value lower than 0 shall not update the status but still return a valid
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* continuation indicator.
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*
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*
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* @return Returns the rotations around each axis (x, y, z)
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* @return Returns the rotations around each axis (x, y, z)
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*/
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*/
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Vec2d find_best_rotation(
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Vec2d find_best_rotation(
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const SLAPrintObject& modelobj,
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const SLAPrintObject& modelobj,
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float accuracy = 1.0f,
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float accuracy = 1.0f,
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std::function<void(unsigned)> statuscb = [] (unsigned) {},
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std::function<bool(int)> statuscb = [] (int) { return true; }
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std::function<bool()> stopcond = [] () { return false; }
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);
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);
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double get_model_supportedness(const SLAPrintObject &mesh,
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double get_model_supportedness(const SLAPrintObject &mesh,
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@ -21,13 +21,12 @@ void RotoptimizeJob::process()
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if (!o || !po) return;
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if (!o || !po) return;
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Vec2d r = sla::find_best_rotation(*po, 0.75f,
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Vec2d r = sla::find_best_rotation(*po, 0.75f, [this](int s) {
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[this](unsigned s) {
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if (s > 0 && s < 100)
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if (s < 100)
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update_status(s, _(L("Searching for optimal orientation")));
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update_status(int(s), _(L("Searching for optimal orientation")));
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},
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[this] () { return was_canceled(); });
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return !was_canceled();
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});
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double mindist = 6.0; // FIXME
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double mindist = 6.0; // FIXME
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