def mapObjects():
sql = "SELECT X(position), Y(position), focus, bearing FROM pictures;"
rows = query(sql)
x = list()
y = list()
for row in rows:
p = dbscan.Point(0, row[1], row[0], True, row[3], row[2])
P = dbscan.getObjPoint(p)
x.append(P.lon)
y.append(P.lat)
pylab.scatter(x,y, s=100 ,marker='o')
pylab.show()
def printStuff():
# test object capture
bearing = 350
point = (0,1)
focus = 3
p = dbscan.Point(0, 0, 1, False, bearing, focus)
x = [p.lon]
y = [p.lat]
for bearing in range(0,360):
if bearing % 20 > 10:
continue
p = dbscan.Point(0, 0, 1, False, bearing, focus)
P = dbscan.getObjPoint(p)
x.append(P.lon)
y.append(P.lat)
color=['g','r']
sql = "INSERT INTO pictures (position,visited,bearing,focus) VALUES (POINT(%s, %s), %s, %s, %s)"
vals = [p.lat, p.lon, p.vis, bearing, focus]
print 'Beginning new cluster', vals
execute(sql, vals)
pylab.scatter(x,y, s=100 ,marker='o', c=color)
pylab.xlim(xmin=0)
def findNear():
for p in dbscan.queryUnv():
P = dbscan.getObjPoint(p)
for cP in dbscan.regionQuery(P, 1):
print cP