if flag == True:
xycor = np.append(xycor,np.array(corner3),axis=0)
[flag1, corner4] = corner.corner(a.m[0],a.c[0],a.m[len(a.m)-1],a.c[len(a.m)-1])
if flag1 == True:
xycor = np.append(xycor,np.array(corner4),axis=0)
#xycor = np.append(xycor,np.array(corner4),axis=0)
xycor = np.append(xycor,[xycor[0]],axis=0)
elif char == ord('r'):
a.reset()
elif char == ord('p'):
a.plot()
elif char == ord('k'):
pt.plotArray(xycor)
elif char == ord('s'):
np.savetxt('test.txt', a.Map, delimiter=',')
elif char == curses.KEY_RIGHT:
# print doesn't work with curses, use addstr instead
screen.addstr(0, 0, 'right')
a.right()
elif char == curses.KEY_LEFT:
screen.addstr(0, 0, 'left')
a.left()
m,c = line.inter(a.Batch)
d = line.perp(m, c, a.Pos[0][0], a.Pos[0][1])
pf.duichoti()
import numpy as np import toCart import plot as pt import Outlier as oo import Sparser as SS x = np.array([[ 15.,109.],[ 20. , 109.], [ 25. , 105.],[ 30. , 107.], [ 35. , 105.], [ 40. , 106.], [ 45. , 102.], [ 50. , 104.], [ 55. , 102.], [ 60. ,101.] ,[ 65. ,100.],[ 70. ,114.],[ 75. , 99.],[ 80., 98.],[ 85. , 96.],[ 90. , 97.],[ 95. , 94.],[ 100., 110.],[ 105. , 91.],[ 110. , 94.],[ 115. , 94.],[ 120. , 91.],[ 125. , 93.],[ 130. , 91.],[ 135. , 89.],[ 140. , 89.],[ 145. , 111.],[ 150., 101.],[ 155., 90.],[ 160., 95.],[ 165. , 110.] ,[ 170. ,92.],[ 165. , 91.] ,[ 160. ,90.], [ 155. , 90.], [ 150. , 91.], [ 145. , 110.], [ 140. , 89.], [ 135. , 92.], [ 130., 109.], [ 125. , 90.],[ 120., 91.] ,[ 115., 90.],[ 110. ,91.],[ 105. , 112.],[ 100. , 96.],[ 95. , 91.],[ 90. , 110.] ,[ 85. ,93.],[ 80. , 93.] ,[ 75. , 93.],[ 70. , 94.], [ 65. , 115.], [ 60. , 95.], [ 55. , 96.], [ 50. , 97.], [ 45. , 97.], [ 40. , 99.], [ 35. , 100.], [ 30. , 101.], [ 25. , 118.], [ 20. , 102.]],dtype = float) toCart.toCartesian(x) #SS.sparse(x,10) #oo.clearOutlier(x,1,2,4) pt.plotArray(x)
def plot(self): #plot the map pt.plotArray(self.Map) return
import numpy as np import toCart import plot as pt import Outlier as oo import iqd import Sparser as SS import RANSAC as rr import time x = np.array([[ 15.,109.],[ 20. , 109.], [ 25. , 105.],[ 30. , 107.], [ 35. , 105.], [ 40. , 106.], [ 45. , 102.], [ 50. , 104.], [ 55. , 102.], [ 60. ,101.] ,[ 65. ,100.],[ 70. ,114.],[ 75. , 99.],[ 80., 98.],[ 85. , 96.],[ 90. , 97.],[ 95. , 94.],[ 100., 110.],[ 105. , 91.],[ 110. , 94.],[ 115. , 94.],[ 120. , 91.],[ 125. , 93.],[ 130. , 91.],[ 135. , 89.],[ 140. , 89.],[ 145. , 111.],[ 150., 101.],[ 155., 90.],[ 160., 95.],[ 165. , 110.] ,[ 170. ,92.],[ 165. , 91.] ,[ 160. ,90.], [ 155. , 90.], [ 150. , 91.], [ 145. , 110.], [ 140. , 89.], [ 135. , 92.], [ 130., 109.], [ 125. , 90.],[ 120., 91.] ,[ 115., 90.],[ 110. ,91.],[ 105. , 112.],[ 100. , 96.],[ 95. , 91.],[ 90. , 110.] ,[ 85. ,93.],[ 80. , 93.] ,[ 75. , 93.],[ 70. , 94.], [ 65. , 115.], [ 60. , 95.], [ 55. , 96.], [ 50. , 97.], [ 45. , 97.], [ 40. , 99.], [ 35. , 100.], [ 30. , 101.], [ 25. , 118.], [ 20. , 102.]],dtype = float) toCart.toCartesian(x) #k = rr.nice(x) #x = SS.sparse(x,20) #oo.clearOutlier(x,1,2,4) k = iqd.outlierRemoval(x,1) pt.plotArray(k) #pt.plotArray(x)