ENH: add filament cluster algorithm

1.Add new KMediods algorithm
2.Consider physical and geometric printables
3.Refine code structure

jira:NONE

Signed-off-by: xun.zhang <xun.zhang@bambulab.com>
Change-Id: I1412835c3c6380f9cedb44ff6914004365bba889
(cherry picked from commit c53a35856d8d1cbd3a632a8510f1ddfdf9117106)
This commit is contained in:
xun.zhang
2024-09-02 21:10:01 +08:00
committed by Noisyfox
parent 8eb0a59723
commit 7bd16a3ca7
6 changed files with 536 additions and 358 deletions

View File

@@ -1,12 +1,20 @@
#ifndef FILAMENT_GROUP_HPP
#define FILAMENT_GROUP_HPP
#include<chrono>
#include<numeric>
#include <chrono>
#include <memory>
#include <numeric>
#include <set>
#include <map>
#include <vector>
#include "GCode/ToolOrderUtils.hpp"
const static int DEFAULT_CLUSTER_SIZE = 16;
namespace Slic3r
{
std::vector<unsigned int>collect_sorted_used_filaments(const std::vector<std::vector<unsigned int>>& layer_filaments);
struct FlushTimeMachine
{
private:
@@ -31,29 +39,43 @@ namespace Slic3r
BestFit
};
struct FilamentGroupContext
{
std::vector<FlushMatrix> flush_matrix;
std::vector<std::set<int>>physical_unprintables;
std::vector<std::set<int>>geometric_unprintables;
std::vector<int>max_group_size;
int total_filament_num;
};
class FlushDistanceEvaluator
{
public:
FlushDistanceEvaluator(const FlushMatrix& flush_matrix,const std::vector<unsigned int>&used_filaments,const std::vector<std::vector<unsigned int>>& layer_filaments, double p = 0.65);
~FlushDistanceEvaluator() = default;
double get_distance(int idx_a, int idx_b) const;
private:
std::vector<std::vector<float>>m_distance_matrix;
};
class FilamentGroup
{
public:
FilamentGroup(const std::vector<FlushMatrix>& flush_matrix, const int total_filament_num, const std::vector<int>& max_group_size) :
m_flush_matrix{ flush_matrix },
m_total_filament_num{ total_filament_num },
m_max_group_size{ max_group_size }
{}
FilamentGroup(const FilamentGroupContext& context);
std::vector<int> calc_filament_group(const std::vector<std::vector<unsigned int>>& layer_filaments, const FGStrategy& g_strategy = FGStrategy::BestFit, int* cost = nullptr);
private:
public:
std::vector<int> calc_filament_group_by_enum(const std::vector<std::vector<unsigned int>>& layer_filaments, const std::vector<unsigned int>& used_filaments, const FGStrategy& g_strategy, int* cost = nullptr);
std::vector<int> calc_filament_group_by_pam(const std::vector<std::vector<unsigned int>>& layer_filaments, const std::vector<unsigned int>& used_filaments, const FGStrategy& g_strategy, int* cost = nullptr, int timeout_ms = 300);
std::vector<int> calc_filament_group_by_pam2(const std::vector<std::vector<unsigned int>>& layer_filaments, const std::vector<unsigned int>& used_filaments, const FGStrategy& g_strategy, int* cost = nullptr, int timeout_ms = 300);
private:
std::vector<FlushMatrix>m_flush_matrix;
std::vector<int>m_max_group_size;
int m_total_filament_num;
FilamentGroupContext m_context;
public:
std::optional<std::function<bool(int, std::vector<int>&)>> get_custom_seq;
};
class KMediods
class KMediods2
{
enum INIT_TYPE
{
@@ -61,29 +83,34 @@ namespace Slic3r
Farthest
};
public:
KMediods(const std::vector<std::vector<float>>& distance_matrix, const int filament_num,const std::vector<int>& max_group_size) :
m_distance_matrix{ distance_matrix },
m_filament_num{ filament_num },
m_max_group_size{ max_group_size }{}
void fit(const FGStrategy& g_strategy,int timeout_ms = 300);
std::vector<int>get_filament_labels()const {
return m_filament_labels;
KMediods2(const int elem_count, const std::shared_ptr<FlushDistanceEvaluator>& evaluator) :
m_evaluator{ evaluator },
m_elem_count{ elem_count }
{
m_max_cluster_size = std::vector<int>(m_k, DEFAULT_CLUSTER_SIZE);
}
// set max group size
void set_max_cluster_size(const std::vector<int>& group_size) { m_max_cluster_size = group_size; }
// key stores elem idx, value stores the cluster id that elem cnanot be placed
void set_unplaceable_limits(const std::map<int, int>& placeable_limits) { m_unplaceable_limits = placeable_limits; }
void do_clustering(const FGStrategy& g_strategy,int timeout_ms = 100);
std::vector<int>get_cluster_labels()const { return m_cluster_labels; }
private:
std::vector<int>initialize(INIT_TYPE type);
std::vector<int>assign_label(const std::vector<int>& medoids,const FGStrategy&g_strategy);
std::vector<int>cluster_small_data(const std::map<int, int>& unplaceable_limits, const std::vector<int>& group_size);
std::vector<int>assign_cluster_label(const std::vector<int>& center, const std::map<int, int>& unplaceable_limits, const std::vector<int>& group_size, const FGStrategy& strategy);
int calc_cost(const std::vector<int>& labels, const std::vector<int>& medoids);
private:
std::vector<std::vector<float>>m_distance_matrix;
int m_filament_num;
std::vector<int>m_max_group_size;
std::set<int>m_medoids_set;
const int k = 2;
private:
std::vector<int>m_filament_labels;
};
std::shared_ptr<FlushDistanceEvaluator> m_evaluator;
std::map<int, int>m_unplaceable_limits;
std::vector<int>m_max_cluster_size;
int m_elem_count;
const int m_k = 2;
std::vector<int>m_cluster_labels;
};
}
#endif // !FILAMENT_GROUP_HPP