def createBlindMatchFeatures(self,
stars,
featurePoint=160,
featureNum=10,
searchRTimes=2,
partitionNum=4):
oiMatch = CrossMatch()
oiData = oiMatch.filterStar(stars)
brightStarOi, darkStarOi = oiMatch.getBright(oiData, featurePoint)
'''
tpos = brightStarOi[:,0:2].copy()
tpos[:,0] = tpos[:,0] + 20
self.saveReg(tpos, "data/reg%d.reg"%(stars.shape[0]), radius=4, width=1, color='green')
'''
oiMatch.createRegionIdx(darkStarOi, featureNum)
#oiMatch.statisticRegions()
searchRadius = oiMatch.regSize * searchRTimes
tXY = []
mchIdxs = []
for i, ts in enumerate(brightStarOi):
x = ts[0]
y = ts[1]
nN = oiMatch.getNearestN(x, y, searchRadius, featureNum)
if len(nN) == featureNum:
tXY.append((x, y))
mchIdxs.append(nN)
return tXY, mchIdxs
def createBlindMatchFeatures(self, stars, featurePointPercentage=0.1, featureNum=8, searchRTimes=2, partitionNum=4):
oiMatch = CrossMatch(self.imgW, self.imgH)
oiData = oiMatch.filterStar(stars)
brightStarOi, darkStarOi = oiMatch.getBright(oiData, featurePointPercentage)
print("bright star number %d"%(brightStarOi.shape[0]))
print("dark star number %d"%(darkStarOi.shape[0]))
'''
tpos = brightStarOi[:,0:2].copy()
tpos[:,0] = tpos[:,0] + 20
self.saveReg(tpos, "data/reg%d.reg"%(stars.shape[0]), radius=4, width=1, color='green')
'''
oiMatch.createRegionIdx(darkStarOi, featureNum)
#oiMatch.statisticRegions()
#print("oiMatch.regSize=%f"%(oiMatch.regSize))
searchRadius = oiMatch.regSize*searchRTimes*10
#print("searchRadius=%f"%(searchRadius))
tXY = []
mchIdxs = []
for i, ts in enumerate(brightStarOi):
x = ts[0]
y = ts[1]
nN = oiMatch.getNearestN(x,y, searchRadius,featureNum)
#print("star %d match %d features"%(i, nN.shape[0]))
if len(nN)==featureNum:
tXY.append((x,y))
mchIdxs.append(nN)
return tXY, mchIdxs
