public static Dictionary <TessellatedSolid, double> PotentialFastener = new Dictionary <TessellatedSolid, double>(); // value is its certainty
internal static HashSet <TessellatedSolid> Run(
Dictionary <TessellatedSolid, List <PrimitiveSurface> > solidPrimitive,
Dictionary <TessellatedSolid, List <TessellatedSolid> > multipleRefs,
int threaded,
bool regenerateTrainingData = false)
{
var s = Stopwatch.StartNew();
s.Start();
Console.WriteLine();
Console.WriteLine("\nDetecting Fasteners ....\n");
Fasteners.Clear();
Nuts.Clear();
Washers.Clear();
PotentialFastener.Clear();
if (threaded != 0) // either all of them or some of them are threaded
{
FastenerPerceptronLearner.RunPerecptronLearner(regenerateTrainingData);
FastenerGaussianNaiveBayes.RunGaussianNaiveBayes();
// after training data is generated (or exists), now I should check and see
// if the csv containing weights and votes exists or not.
// Even if the trainingData csv doesnt exist but the csv of w and votes exist,
// we can run the classifier.
// In TrainingDataGenerator, if user says dont regenerate the training data,
// now check and see if the WeightsAndVotes.csv exists or not.
}
var fastener = new HashSet <TessellatedSolid>();
if (multipleRefs.Count == 1)
{
return(fastener);
}
if (threaded == 0) // non of them are threaded
{
AutoNonthreadedFastenerDetection.Run(solidPrimitive, multipleRefs);
}
else
{
if (threaded == 1) // all of them are threaded
{
AutoThreadedFastenerDetection.Run(solidPrimitive, multipleRefs);
}
else // some are threaded, some not
{
AutoSemiThreadedFastenerDetection.Run(solidPrimitive, multipleRefs);
}
}
RemoveDetectedFastenersFromPotentialFasteners();
return(fastener);
}
internal static void Run(
Dictionary <TessellatedSolid, List <PrimitiveSurface> > solidPrimitive,
Dictionary <TessellatedSolid, List <TessellatedSolid> > multipleRefs)
{
// This is mostly similar to the auto fastener detection with no thread, but instead of learning
// from the area of the cylinder and for example flat, we will learn from the number of faces.
// why? because if we have thread, we will have too many triangles. And this can be useful.
// I can also detect helix and use this to detect the threaded fasteners
// Important: if the fasteners are threaded using solidworks Fastener toolbox, it will not
// have helix. The threads will be small cones with the same axis and equal area.
var width = 55;
var check = 0;
LoadingBar.start(width, 0);
var smallParts = FastenerDetector.SmallObjectsDetector(DisassemblyDirectionsWithFastener.PartsWithOneGeom);
PreSelectedFastenerToFastenerClass(solidPrimitive, multipleRefs);
foreach (
var preSelected in
FastenerDetector.PreSelectedFasteners.Where(preSelected => !smallParts.Contains(preSelected)))
{
smallParts.Add(preSelected);
}
FastenerDetector.PotentialFastener = new Dictionary <TessellatedSolid, double>();
foreach (var p in smallParts)
{
FastenerDetector.PotentialFastener.Add(p, 0.1);
}
var groupedPotentialFasteners = FastenerDetector.GroupingSmallParts(smallParts);
var uniqueParts = new HashSet <TessellatedSolid>();
foreach (var s in multipleRefs.Keys.Where(FastenerDetector.PotentialFastener.Keys.Contains))
{
uniqueParts.Add(s);
}
foreach (
var preFastener in
FastenerDetector.Fasteners.Where(preFastener => uniqueParts.Contains(preFastener.Solid)))
{
uniqueParts.Remove(preFastener.Solid);
}
var equalPrimitivesForEveryUniqueSolid = FastenerDetector.EqualFlatPrimitiveAreaFinder(uniqueParts,
solidPrimitive);
List <int> learnerVotes;
var learnerWeights = FastenerPerceptronLearner.ReadingLearnerWeightsAndVotesFromCsv(out learnerVotes);
FastenerGaussianNaiveBayes.GNB();
List <string> nameList = new List <string>();
foreach (var part in uniqueParts)
{
nameList.Add(part.Name);
}
float nameRating;
float ratingAverage = 0;
float ratingMax = -1;
float ratingMin = 100000000000;
int preCutoff = 0;
int postCutoff = 0;
PartNameAnalysis.findCommonPreSuffixes(nameList, ref preCutoff, ref postCutoff);
foreach (var part in uniqueParts)
{
nameRating = PartNameAnalysis.SolidHasFastenerKeyword(part, preCutoff, postCutoff);
ratingAverage += nameRating;
ratingMax = Math.Max(ratingMax, nameRating);
ratingMin = Math.Min(ratingMin, nameRating);
}
float proportion = 1 - (ratingMax - ratingMin) / 3;
var refresh = (int)Math.Ceiling((float)uniqueParts.Count / (float)(width * 4));
Parallel.ForEach(uniqueParts, solid =>
//foreach (var solid in uniqueParts)
{
if (check % refresh == 0)
{
LoadingBar.refresh(width, ((float)check) / ((float)uniqueParts.Count));
}
check++;
var initialCertainty = FastenerGaussianNaiveBayes.GaussianNaiveBayesClassifier(solidPrimitive[solid], solid);
nameRating = (PartNameAnalysis.SolidHasFastenerKeyword(solid, preCutoff, postCutoff) - ratingMin) / (0.001f + ratingMax - ratingMin);
FastenerDetector.PotentialFastener[solid] = (0.1 + initialCertainty) * proportion + (1 - nameRating) * (1 - proportion);
foreach (var up in multipleRefs[solid])
{
FastenerDetector.PotentialFastener[up] = (0.1 + initialCertainty) * proportion + (1 - nameRating) * (1 - proportion);
}
// if a fastener is detected using polynomial trend approach, it is definitely a fastener but not a nut.
// if it is detected using any other approach, but not polynomial trend, it is a possible nut.
double toolSize;
var commonHead = CommonHeadCheck(solid, solidPrimitive[solid], equalPrimitivesForEveryUniqueSolid[solid],
out toolSize);
if (commonHead != 0)
{
var newFastener = FastenerPolynomialTrend.PolynomialTrendDetector(solid);
if (newFastener != null)
{
newFastener.ToolSize = toolSize;
if (commonHead == 1)
{
newFastener.Tool = Tool.HexWrench;
lock (FastenerDetector.Fasteners)
FastenerDetector.Fasteners.Add(newFastener);
AddRepeatedSolidstoFasteners(newFastener, multipleRefs[solid]);
//continue;
return;
}
if (commonHead == 2)
{
newFastener.Tool = Tool.Allen;
lock (FastenerDetector.Fasteners)
FastenerDetector.Fasteners.Add(newFastener);
AddRepeatedSolidstoFasteners(newFastener, multipleRefs[solid]);
//continue;
return;
}
if (commonHead == 3)
{
newFastener.Tool = Tool.PhillipsBlade;
lock (FastenerDetector.Fasteners)
FastenerDetector.Fasteners.Add(newFastener);
AddRepeatedSolidstoFasteners(newFastener, multipleRefs[solid]);
//continue;
return;
}
if (commonHead == 4)
{
newFastener.Tool = Tool.FlatBlade;
lock (FastenerDetector.Fasteners)
FastenerDetector.Fasteners.Add(newFastener);
AddRepeatedSolidstoFasteners(newFastener, multipleRefs[solid]);
//continue;
return;
}
if (commonHead == 5)
{
newFastener.Tool = Tool.PhillipsBlade;
lock (FastenerDetector.Fasteners)
FastenerDetector.Fasteners.Add(newFastener);
AddRepeatedSolidstoFasteners(newFastener, multipleRefs[solid]);
//continue;
return;
}
}
else // can be a nut
{
if (commonHead == 1)
{
FastenerDetector.Nuts.Add(new Nut
{
Solid = solid,
NutType = NutType.Hex,
Tool = Tool.HexWrench,
ToolSize = toolSize,
OverallLength = BoundingGeometry.BoundingCylinderDic[solid].Length,
Certainty = initialCertainty // 0.9
});
foreach (var repeatedSolid in multipleRefs[solid])
{
lock (FastenerDetector.Nuts)
FastenerDetector.Nuts.Add(new Nut
{
Solid = repeatedSolid,
NutType = NutType.Hex,
Tool = Tool.HexWrench,
ToolSize = toolSize,
OverallLength = BoundingGeometry.BoundingCylinderDic[solid].Length,
Certainty = initialCertainty // 0.9
});
}
//continue;
return;
}
}
}
if (FastenerPerceptronLearner.FastenerPerceptronClassifier(solidPrimitive[solid], solid, learnerWeights,
learnerVotes))
{
var newFastener = FastenerPolynomialTrend.PolynomialTrendDetector(solid);
if (newFastener != null)
{
lock (FastenerDetector.Fasteners)
FastenerDetector.Fasteners.Add(newFastener);
AddRepeatedSolidstoFasteners(newFastener, multipleRefs[solid]);
//continue;
return;
}
// can be a nut
// use bounding cylinder to detect nuts.
// Since the nuts are small, the OBB function doesnt work accurately for them.
// So, I cannot really trust this.
var newNut = NutPolynomialTrend.PolynomialTrendDetector(solid);
if (newNut != null)
// It is a nut with certainty == 1
{
lock (FastenerDetector.Nuts)
FastenerDetector.Nuts.Add(newNut);
AddRepeatedSolidstoNuts(newNut, multipleRefs[solid]);
//continue;
return;
}
// still can be a nut since the upper approach is not really accurate
// this 50 percent certainty can go up if the nut is mated with a
// detected fastener
foreach (var repeatedSolid in multipleRefs[solid])
{
lock (FastenerDetector.Nuts)
FastenerDetector.Nuts.Add(new Nut
{
Solid = repeatedSolid,
Diameter = BoundingGeometry.BoundingCylinderDic[solid].Radius * 2.0,
// this is approximate
OverallLength = BoundingGeometry.BoundingCylinderDic[solid].Length,
Certainty = initialCertainty // 0.5
});
}
//continue;
return;
}
// if it is not captured by any of the upper methods, give it another chance:
if (ThreadDetector(solid, solidPrimitive[solid]))
{
var newFastener = FastenerPolynomialTrend.PolynomialTrendDetector(solid);
if (newFastener != null)
{
newFastener.FastenerType = FastenerTypeEnum.Bolt;
lock (FastenerDetector.Fasteners)
FastenerDetector.Fasteners.Add(newFastener);
AddRepeatedSolidstoFasteners(newFastener, multipleRefs[solid]);
//continue;
return;
}
//if not, it is a nut:
foreach (var repeatedSolid in multipleRefs[solid])
{
lock (FastenerDetector.Nuts)
FastenerDetector.Nuts.Add(new Nut
{
Solid = repeatedSolid,
Diameter = BoundingGeometry.BoundingCylinderDic[solid].Radius * 2.0,
// this is approximate
OverallLength = BoundingGeometry.BoundingCylinderDic[solid].Length * 2.0,
Certainty = initialCertainty // 0.5
});
}
}
}
); //
// now use groupped small objects:
AutoNonthreadedFastenerDetection.ConnectFastenersNutsAndWashers(groupedPotentialFasteners);
LoadingBar.refresh(width, 1);
}
internal static void Run(
Dictionary <TessellatedSolid, List <PrimitiveSurface> > solidPrimitive,
Dictionary <TessellatedSolid, List <TessellatedSolid> > multipleRefs)
{
var width = 55;
var check = 0;
LoadingBar.start(width, 0);
var smallParts = FastenerDetector.SmallObjectsDetector(DisassemblyDirectionsWithFastener.PartsWithOneGeom);
PreSelectedFastenerToFastenerClass(solidPrimitive, multipleRefs);
foreach (
var preSelected in
FastenerDetector.PreSelectedFasteners.Where(preSelected => !smallParts.Contains(preSelected)))
{
smallParts.Add(preSelected);
}
FastenerDetector.PotentialFastener = new Dictionary <TessellatedSolid, double>();
foreach (var p in smallParts)
{
FastenerDetector.PotentialFastener.Add(p, 0.1);
}
var groupedPotentialFasteners = FastenerDetector.GroupingSmallParts(smallParts);
var uniqueParts = new HashSet <TessellatedSolid>();
foreach (var s in multipleRefs.Keys.Where(FastenerDetector.PotentialFastener.Keys.Contains))
{
uniqueParts.Add(s);
}
foreach (
var preFastener in
FastenerDetector.Fasteners.Where(preFastener => uniqueParts.Contains(preFastener.Solid)))
{
uniqueParts.Remove(preFastener.Solid);
}
var equalPrimitivesForEveryUniqueSolid = FastenerDetector.EqualFlatPrimitiveAreaFinder(uniqueParts,
solidPrimitive);
List <int> learnerVotes;
var learnerWeights = FastenerPerceptronLearner.ReadingLearnerWeightsAndVotesFromCsv(out learnerVotes);
List <string> nameList = new List <string>();
foreach (var part in uniqueParts)
{
nameList.Add(part.Name);
}
int preCutoff = 0;
int postCutoff = 0;
PartNameAnalysis.findCommonPreSuffixes(nameList, ref preCutoff, ref postCutoff);
var refresh = (int)Math.Ceiling((float)uniqueParts.Count / (float)(width * 4));
Parallel.ForEach(uniqueParts, solid =>
//foreach (var solid in uniqueParts)
{
if (check % refresh == 0)
{
LoadingBar.refresh(width, ((float)check) / ((float)uniqueParts.Count));
}
check++;
double toolSize;
var commonHead = AutoThreadedFastenerDetection.CommonHeadCheck(solid, solidPrimitive[solid],
equalPrimitivesForEveryUniqueSolid[solid], out toolSize);
if (commonHead == 1)
{
// can be a threaded hex fastener, threaded hex nut, nonthreaded hex fastener, nonthreaded hex nut
var newFastener = FastenerPolynomialTrend.PolynomialTrendDetector(solid);
if (newFastener != null)
{
// threaded hex fastener
newFastener.Tool = Tool.HexWrench;
newFastener.ToolSize = toolSize;
lock (FastenerDetector.Fasteners)
FastenerDetector.Fasteners.Add(newFastener);
AutoThreadedFastenerDetection.AddRepeatedSolidstoFasteners(newFastener, multipleRefs[solid]);
//continue;
return;
}
var lengthAndRadius =
AutoNonthreadedFastenerDetection.FastenerEngagedLengthAndRadiusNoThread(solid, solidPrimitive[solid]);
if (AutoNonthreadedFastenerDetection.IsItNut(
solidPrimitive[solid].Where(p => p is Cylinder).Cast <Cylinder>().ToList(), solid))
{
var nut = new Nut
{
NutType = NutType.Hex,
Solid = solid,
ToolSize = toolSize,
OverallLength = lengthAndRadius[0],
Diameter = lengthAndRadius[1] * 2.0
};
lock (FastenerDetector.Nuts)
FastenerDetector.Nuts.Add(nut);
AutoThreadedFastenerDetection.AddRepeatedSolidstoNuts(nut, multipleRefs[solid]);
}
// nonthreaded hex fastener
var fas = new Fastener
{
Solid = solid,
FastenerType = FastenerTypeEnum.Bolt,
Tool = Tool.HexWrench,
ToolSize = toolSize,
RemovalDirection = FastenerDetector.RemovalDirectionFinderUsingObb(solid,
BoundingGeometry.OrientedBoundingBoxDic[solid]),
OverallLength =
GeometryFunctions.SortedLengthOfObbEdges(BoundingGeometry.OrientedBoundingBoxDic[solid])
[2],
EngagedLength = lengthAndRadius[0],
Diameter = lengthAndRadius[1] * 2.0,
Certainty = 1.0
};
lock (FastenerDetector.Fasteners)
FastenerDetector.Fasteners.Add(fas);
AutoThreadedFastenerDetection.AddRepeatedSolidstoFasteners(fas, multipleRefs[solid]);
return;
}
if (commonHead == 2)
{
// can be a threaded allen, nonthreaded allen
AddThreadedOrNonthreadedFastener(solid, multipleRefs[solid], solidPrimitive[solid], Tool.Allen,
toolSize);
return;
}
if (commonHead == 3 || commonHead == 5)
{
// can be a threaded philips fastener, nonthreaded philips fastener
AddThreadedOrNonthreadedFastener(solid, multipleRefs[solid], solidPrimitive[solid], Tool.PhillipsBlade,
toolSize);
return;
}
if (commonHead == 4)
{
// can be a threaded flat fastener, nonthreaded flat fastener
AddThreadedOrNonthreadedFastener(solid, multipleRefs[solid], solidPrimitive[solid], Tool.FlatBlade,
toolSize);
return;
}
// if it's not a common head and not threaded, I cannot detect it.
// so the rest will be similar to threaded fastener detector
if (FastenerPerceptronLearner.FastenerPerceptronClassifier(solidPrimitive[solid], solid, learnerWeights, learnerVotes))
{
var newFastener = FastenerPolynomialTrend.PolynomialTrendDetector(solid);
if (newFastener != null)
{
lock (FastenerDetector.Fasteners)
FastenerDetector.Fasteners.Add(newFastener);
AutoThreadedFastenerDetection.AddRepeatedSolidstoFasteners(newFastener, multipleRefs[solid]);
//continue;
return;
}
// can be a nut
// use bounding cylinder to detect nuts.
// Since the nuts are small, the OBB function doesnt work accurately for them.
// So, I cannot really trust this.
var newNut = NutPolynomialTrend.PolynomialTrendDetector(solid);
if (newNut != null)
// It is a nut with certainty == 1
{
lock (FastenerDetector.Nuts)
FastenerDetector.Nuts.Add(newNut);
AutoThreadedFastenerDetection.AddRepeatedSolidstoNuts(newNut, multipleRefs[solid]);
//continue;
return;
}
// still can be a nut since the upper approach is not really accurate
// this 50 percent certainty can go up if the nut is mated with a
// detected fastener
foreach (var repeatedSolid in multipleRefs[solid])
{
lock (FastenerDetector.Nuts)
FastenerDetector.Nuts.Add(new Nut
{
Solid = repeatedSolid,
Diameter = BoundingGeometry.BoundingCylinderDic[solid].Radius * 2.0,
// this is approximate
OverallLength = BoundingGeometry.BoundingCylinderDic[solid].Length,
Certainty = 0.5
});
}
//continue;
return;
}
// if it is not captured by any of the upper methods, give it another chance:
if (AutoThreadedFastenerDetection.ThreadDetector(solid, solidPrimitive[solid]))
{
var newFastener = FastenerPolynomialTrend.PolynomialTrendDetector(solid);
if (newFastener != null)
{
newFastener.FastenerType = FastenerTypeEnum.Bolt;
lock (FastenerDetector.Fasteners)
FastenerDetector.Fasteners.Add(newFastener);
AutoThreadedFastenerDetection.AddRepeatedSolidstoFasteners(newFastener, multipleRefs[solid]);
//continue;
return;
}
//if not, it is a nut:
foreach (var repeatedSolid in multipleRefs[solid])
{
lock (FastenerDetector.Nuts)
FastenerDetector.Nuts.Add(new Nut
{
Solid = repeatedSolid,
Diameter = BoundingGeometry.BoundingCylinderDic[solid].Radius * 2.0,
// this is approximate
OverallLength = BoundingGeometry.BoundingCylinderDic[solid].Length * 2.0,
Certainty = 0.5
});
}
}
}
);
// now use groupped small objects:
AutoNonthreadedFastenerDetection.ConnectFastenersNutsAndWashers(groupedPotentialFasteners);
LoadingBar.refresh(width, 1);
}
