updated plotting

This commit is contained in:
391311qy
2020-06-25 18:18:33 -07:00
parent 815ad78bb5
commit c398cefee7
7 changed files with 77 additions and 79 deletions
+51 -66
View File
@@ -9,13 +9,10 @@ import numpy as np
def CreateSphere(center,r):
u = np.linspace(0,2* np.pi,30)
v = np.linspace(0,np.pi,30)
x=np.outer(np.cos(u),np.sin(v))
y=np.outer(np.sin(u),np.sin(v))
z=np.outer(np.ones(np.size(u)),np.cos(v))
# shift and scale sphere
x = r*x + center[0]
y = r*y + center[1]
z = r*z + center[2]
x = np.outer(np.cos(u),np.sin(v))
y = np.outer(np.sin(u),np.sin(v))
z = np.outer(np.ones(np.size(u)),np.cos(v))
x, y, z = r*x + center[0], r*y + center[1], r*z + center[2]
return (x,y,z)
def draw_Spheres(ax,balls):
@@ -23,79 +20,67 @@ def draw_Spheres(ax,balls):
(xs,ys,zs) = CreateSphere(i[0:3],i[-1])
ax.plot_wireframe(xs, ys, zs, alpha=0.15,color="b")
def draw_block_list(ax, blocks):
def draw_block_list(ax, blocks ,color=None,alpha=0.15):
'''
Subroutine used by draw_map() to display the environment blocks
drawing the blocks on the graph
'''
v = np.array([[0, 0, 0], [1, 0, 0], [1, 1, 0], [0, 1, 0], [0, 0, 1], [1, 0, 1], [1, 1, 1], [0, 1, 1]],
dtype='float')
f = np.array([[0, 1, 5, 4], [1, 2, 6, 5], [2, 3, 7, 6], [3, 0, 4, 7], [0, 1, 2, 3], [4, 5, 6, 7]])
# clr = blocks[:,6:]/255
n = blocks.shape[0]
d = blocks[:, 3:6] - blocks[:, :3]
vl = np.zeros((8 * n, 3))
fl = np.zeros((6 * n, 4), dtype='int64')
# fcl = np.zeros((6*n,3))
for k in range(n):
vl[k * 8:(k + 1) * 8, :] = v * d[k] + blocks[k, :3]
fl[k * 6:(k + 1) * 6, :] = f + k * 8
# fcl[k*6:(k+1)*6,:] = clr[k,:]
if type(ax) is Poly3DCollection:
ax.set_verts(vl[fl])
else:
pc = Poly3DCollection(vl[fl], alpha=0.15, linewidths=1, edgecolors='k')
# pc.set_facecolor(fcl)
pc = Poly3DCollection(vl[fl], alpha=alpha, linewidths=1, edgecolors='k')
pc.set_facecolor(color)
h = ax.add_collection3d(pc)
return h
def draw_line(ax,SET,visibility=1,color=None):
if SET != []:
for i in SET:
xs = i[0][0], i[1][0]
ys = i[0][1], i[1][1]
zs = i[0][2], i[1][2]
line = plt3d.art3d.Line3D(xs, ys, zs, alpha=visibility, color=color)
ax.add_line(line)
def visualization(initparams):
V = np.array(initparams.V)
E = initparams.E
Path = np.array(initparams.Path)
start = initparams.env.start
goal = initparams.env.goal
ax = plt.subplot(111, projection='3d',adjustable='box')
ax.view_init(elev=0., azim=90)
ax.clear()
draw_Spheres(ax, initparams.env.balls)
draw_block_list(ax, initparams.env.blocks)
edges = E.get_edge()
if edges != []:
for i in edges:
xs = i[0][0], i[1][0]
ys = i[0][1], i[1][1]
zs = i[0][2], i[1][2]
line = plt3d.art3d.Line3D(xs, ys, zs, alpha=0.25)
ax.add_line(line)
if Path != []:
for i in Path:
xs = i[0][0], i[1][0]
ys = i[0][1], i[1][1]
zs = i[0][2], i[1][2]
line = plt3d.art3d.Line3D(xs, ys, zs, color='r')
ax.add_line(line)
ax.plot(start[0:1], start[1:2], start[2:], 'go', markersize=7, markeredgecolor='k')
ax.plot(goal[0:1], goal[1:2], goal[2:], 'ro', markersize=7, markeredgecolor='k')
ax.scatter3D(V[:, 0], V[:, 1], V[:, 2], s=2, color='g',)
xmin, xmax = initparams.env.boundary[0], initparams.env.boundary[3]
ymin, ymax = initparams.env.boundary[1], initparams.env.boundary[4]
zmin, zmax = initparams.env.boundary[2], initparams.env.boundary[5]
dx, dy, dz = xmax-xmin, ymax-ymin, zmax-zmin
ax.set_xlim3d(xmin, xmax)
ax.set_ylim3d(ymin, ymax)
ax.set_zlim3d(zmin, zmax)
ax.get_proj = make_get_proj(ax,1*dx, 1*dy, 2*dy)
#ax.dist = 5
plt.xlabel('x')
plt.ylabel('y')
if not Path != []:
if initparams.ind % 10 == 0 or initparams.done:
V = np.array(initparams.V)
E = initparams.E
Path = np.array(initparams.Path)
start = initparams.env.start
goal = initparams.env.goal
edges = E.get_edge()
# generate axis objects
ax = plt.subplot(111, projection='3d')
ax.view_init(elev=0., azim=90)
ax.clear()
# drawing objects
draw_Spheres(ax, initparams.env.balls)
draw_block_list(ax, initparams.env.blocks)
draw_block_list(ax, np.array([initparams.env.boundary]),alpha=0)
draw_line(ax,edges,visibility=0.25)
draw_line(ax,Path,color='r')
ax.scatter3D(V[:, 0], V[:, 1], V[:, 2], s=2, color='g',)
ax.plot(start[0:1], start[1:2], start[2:], 'go', markersize=7, markeredgecolor='k')
ax.plot(goal[0:1], goal[1:2], goal[2:], 'ro', markersize=7, markeredgecolor='k')
# adjust the aspect ratio
xmin, xmax = initparams.env.boundary[0], initparams.env.boundary[3]
ymin, ymax = initparams.env.boundary[1], initparams.env.boundary[4]
zmin, zmax = initparams.env.boundary[2], initparams.env.boundary[5]
dx, dy, dz = xmax-xmin, ymax-ymin, zmax-zmin
ax.get_proj = make_get_proj(ax,1*dx, 1*dy, 2*dy)
plt.xlabel('x')
plt.ylabel('y')
plt.pause(0.001)
else:
plt.show()
def make_get_proj(self, rx, ry, rz):
'''
@@ -104,7 +89,7 @@ def make_get_proj(self, rx, ry, rz):
'''
rm = max(rx, ry, rz)
kx = rm / rx; ky = rm / ry; kz = rm / rz;
kx = rm / rx; ky = rm / ry; kz = rm / rz
# Copied directly from mpl_toolkit/mplot3d/axes3d.py. New or modified lines are
# marked by ##
@@ -119,7 +104,7 @@ def make_get_proj(self, rx, ry, rz):
worldM = proj3d.world_transformation(xmin, xmax,
ymin, ymax,
zmin, zmax)
ratio = 0.5
# adjust the aspect ratio ##
aspectM = proj3d.world_transformation(-kx + 1, kx, ##
-ky + 1, ky, ##
@@ -128,9 +113,9 @@ def make_get_proj(self, rx, ry, rz):
# look into the middle of the new coordinates
R = np.array([0.5, 0.5, 0.5])
xp = R[0] + np.cos(razim) * np.cos(relev) * self.dist
yp = R[1] + np.sin(razim) * np.cos(relev) * self.dist
zp = R[2] + np.sin(relev) * self.dist
xp = R[0] + np.cos(razim) * np.cos(relev) * self.dist *ratio
yp = R[1] + np.sin(razim) * np.cos(relev) * self.dist *ratio
zp = R[2] + np.sin(relev) * self.dist *ratio
E = np.array((xp, yp, zp))
self.eye = E
@@ -142,7 +127,7 @@ def make_get_proj(self, rx, ry, rz):
V = np.array((0, 0, -1))
else:
V = np.array((0, 0, 1))
zfront, zback = -self.dist, self.dist
zfront, zback = -self.dist *ratio, self.dist *ratio
viewM = proj3d.view_transformation(E, R, V)
perspM = proj3d.persp_transformation(zfront, zback)
+11 -6
View File
@@ -6,6 +6,7 @@ import numpy as np
from numpy.matlib import repmat
from collections import defaultdict
import time
import matplotlib.pyplot as plt
import os
import sys
@@ -13,7 +14,7 @@ import sys
sys.path.append(os.path.dirname(os.path.abspath(__file__)) + "/../../Sampling-based Planning/")
from rrt_3D.env3D import env
from rrt_3D.utils3D import getDist, sampleFree, nearest, steer, isCollide, near, visualization, cost, path, edgeset
from rrt_3D.utils3D import getDist, sampleFree, nearest, steer, isCollide, near, visualization, cost, path, edgeset, hash3D, dehash
class rrtstar():
@@ -26,16 +27,18 @@ class rrtstar():
self.maxiter = 10000
self.stepsize = 0.5
self.Path = []
self.done = False
def wireup(self, x, y):
self.E.add_edge([x, y]) # add edge
self.Parent[str(x[0])][str(x[1])][str(x[2])] = y
self.E.add_edge([x,y]) # add edge
self.Parent[hash3D(x)] = y
def run(self):
self.V.append(self.env.start)
ind = 0
self.ind = 0
self.fig = plt.figure(figsize = (10,8))
xnew = self.env.start
while ind < self.maxiter and getDist(xnew, self.env.goal) > 1:
while self.ind < self.maxiter and getDist(xnew, self.env.goal) > 1:
xrand = sampleFree(self)
xnearest = nearest(self, xrand)
xnew = steer(self, xnearest, xrand)
@@ -44,12 +47,14 @@ class rrtstar():
self.wireup(xnew, xnearest)
# visualization(self)
self.i += 1
ind += 1
self.ind += 1
if getDist(xnew, self.env.goal) <= 1:
self.wireup(self.env.goal, xnew)
self.Path, D = path(self)
print('Total distance = ' + str(D))
self.done = True
visualization(self)
plt.show()
if __name__ == '__main__':
+7 -5
View File
@@ -6,6 +6,7 @@ import numpy as np
from numpy.matlib import repmat
from collections import defaultdict
import time
import matplotlib.pyplot as plt
import os
import sys
@@ -37,7 +38,6 @@ class rrtstar():
xparent = self.Parent[hash3D(xnear)]
a = [xnear,xparent]
self.E.remove_edge(a) # remove and replace old the connection
#self.Parent.pop(hash3D(xnear), None)
def reached(self):
self.done = True
@@ -50,17 +50,18 @@ class rrtstar():
def run(self):
self.V.append(self.env.start)
ind = 0
self.ind = 0
xnew = self.env.start
print('start rrt*... ')
while ind < self.maxiter:
self.fig = plt.figure(figsize = (10,8))
while self.ind < self.maxiter:
xrand = sampleFree(self)
xnearest = nearest(self,xrand)
xnew = steer(self,xnearest,xrand)
if not isCollide(self,xnearest,xnew):
Xnear = near(self,xnew)
self.V.append(xnew) # add point
# visualization(self)
visualization(self)
# minimal path and minimal cost
xmin, cmin = xnearest, cost(self, xnearest) + getDist(xnearest, xnew)
# connecting along minimal cost path
@@ -82,12 +83,13 @@ class rrtstar():
self.removewire(xnear)
self.wireup(xnear, xnew)
self.i += 1
ind += 1
self.ind += 1
# max sample reached
self.reached()
print('time used = ' + str(time.time()-starttime))
print('Total distance = '+str(self.D))
visualization(self)
plt.show()
if __name__ == '__main__':
+8 -2
View File
@@ -53,11 +53,17 @@ def isinside(initparams, x):
return True
return False
def isinbound(i, x):
if i[0] <= x[0] < i[3] and i[1] <= x[1] < i[4] and i[2] <= x[2] < i[5]:
return True
return False
def isCollide(initparams, x, y):
'''see if line intersects obstacle'''
ray = getRay(x, y)
dist = getDist(x, y)
if not isinbound(initparams.env.boundary,y):
return True
for i in getAABB(initparams.env.blocks):
shot = pyrr.geometric_tests.ray_intersect_aabb(ray, i)
if shot is not None:
@@ -67,8 +73,8 @@ def isCollide(initparams, x, y):
for i in initparams.env.balls:
shot = pyrr.geometric_tests.ray_intersect_sphere(ray, i)
if shot != []:
dists_wall = [getDist(x, j) for j in shot]
if all(dists_wall <= dist): # collide
dists_ball = [getDist(x, j) for j in shot]
if all(dists_ball <= dist): # collide
return True
return False