def draw_pitch(ax,fill=True,numbers=True):
# focus on only half of the pitch
#Pitch Outline & Centre Line
if fill:
Pitch = pat.Rectangle([0,0], width = 60, height = 68, facecolor='green', edgecolor='white')
else:
Pitch = pat.Rectangle([0,0], width = 60, height = 68, fill=False)
#Left, Right Penalty Area and midline
goalline =pat.ConnectionPatch([10,0], [10,68], "data", "data",color='white',lw=4)
tenline =pat.ConnectionPatch([20,0], [20,68], "data", "data",color='white')
twentyline =pat.ConnectionPatch([30,0], [30,68], "data", "data",color='white')
thirtyline =pat.ConnectionPatch([40,0], [40,68], "data", "data",color='white')
fortyline =pat.ConnectionPatch([50,0], [50,68], "data", "data",color='red')
midline = pat.ConnectionPatch([60,0], [60,68], "data", "data",color='white')
#goalposts
leftpost=pat.ConnectionPatch([10,30], [2,40],"data","data",color='white')
rightpost=pat.ConnectionPatch([10,38], [2,48],"data","data",color='white')
crossbar = pat.ConnectionPatch([7,33.65], [7,41.65],"data","data",color='white')
thedot = pat.ConnectionPatch([7,37.5], [7,37.8],"data","data",color='black')
element = [Pitch, goalline,tenline,twentyline,thirtyline,fortyline,midline,leftpost,rightpost,crossbar,thedot]
for i in element:
ax.add_patch(i)
if numbers==True:
plt.text(18,10,'1',color='white',fontsize=17)
plt.text(20,10,'0',color='white',fontsize=17)
plt.text(27,10,'2',color='white',fontsize=17)
plt.text(30,10,'0',color='white',fontsize=17)
plt.text(37,10,'3',color='white',fontsize=17)
plt.text(40,10,'0',color='white',fontsize=17)
plt.text(47,10,'4',color='white',fontsize=17)
plt.text(50,10,'0',color='white',fontsize=17)
def test_connection_patch_fig(fig_test, fig_ref):
# Test that connection patch can be added as figure artist, and that figure
# pixels count negative values from the top right corner (this API may be
# changed in the future).
ax1, ax2 = fig_test.subplots(1, 2)
con = mpatches.ConnectionPatch(xyA=(.3, .2),
coordsA="data",
axesA=ax1,
xyB=(-30, -20),
coordsB="figure pixels",
arrowstyle="->",
shrinkB=5)
fig_test.add_artist(con)
ax1, ax2 = fig_ref.subplots(1, 2)
bb = fig_ref.bbox
# Necessary so that pixel counts match on both sides.
plt.rcParams["savefig.dpi"] = plt.rcParams["figure.dpi"]
con = mpatches.ConnectionPatch(xyA=(.3, .2),
coordsA="data",
axesA=ax1,
xyB=(bb.width - 30, bb.height - 20),
coordsB="figure pixels",
arrowstyle="->",
shrinkB=5)
fig_ref.add_artist(con)
def draw(self):
'''Draw the funnel.'''
shapes = []
coordinates = np.array([
[
self.prev_position.x + self.prev_output_dim.x,
self.prev_position.y + self.prev_output_dim.y
],
[
self.curr_position.x,
self.curr_position.y + self.curr_output_dim.y
],
[
self.curr_position.x + self.curr_depth,
self.curr_position.y + self.curr_depth + self.curr_output_dim.y
],
[
self.prev_position.x + self.prev_output_dim.x +
self.prev_depth,
self.prev_position.y + self.prev_output_dim.y + self.prev_depth
]
])
# Draw Polyogong
shapes = np.append(shapes, pat.Polygon(coordinates, alpha=0.2))
# Draw dotted lines
shapes = np.append(
shapes,
pat.ConnectionPatch(
xyA=(self.prev_position.x + self.prev_output_dim.x,
self.prev_position.y + self.prev_output_dim.y),
xyB=(self.curr_position.x,
self.curr_position.y + self.curr_output_dim.y),
coordsA="data",
color=self.color,
linewidth=1,
linestyle=':',
arrowstyle='-'))
shapes = np.append(
shapes,
pat.ConnectionPatch(xyA=(self.curr_position.x + self.curr_depth,
self.curr_position.y + self.curr_depth +
self.curr_output_dim.y),
xyB=(self.prev_position.x +
self.prev_output_dim.x + self.prev_depth,
self.prev_position.y +
self.prev_output_dim.y + self.prev_depth),
coordsA="data",
color=self.color,
linewidth=1,
linestyle=':',
arrowstyle='-'))
return shapes
def visualise_sample(mixture,
visualise_mean=True,
visualise_std=True,
visualise_var=True,
params_from_sample=True,
figsize=(18, 8)):
plt.figure(figsize=figsize)
for i in range(mixture.nb_gaussians):
sample = mixture.samples[i]
if params_from_sample:
m, v, s = sample.mean(), sample.var(), sample.std()
else:
m, v, s = mixture.means[i], mixture.vars[i], mixture.stds[i]
p = plt.scatter(range(len(sample)), sample, s=0.05)
color = p.get_facecolor()[0]
x = (i + 1) / (mixture.nb_gaussians + 1) * len(sample)
if visualise_mean:
plt.plot(
[-.025 * len(sample), len(sample)], [m] * 2,
c=color,
linewidth=MixturePlotter.MEAN_WIDTH)
if visualise_std:
std_plot = patches.ConnectionPatch(
(x, m - s), (x, m + s),
'data',
'data',
arrowstyle="|-|,widthA=1, widthB=1",
linestyle=MixturePlotter.STD_STYLE,
lw=MixturePlotter.STD_WIDTH,
color=color)
p.axes.add_patch(std_plot)
if visualise_var:
ylim = p.axes.get_ylim()
ylim = (min(ylim[0], m - v), max(ylim[1], m + v))
p.axes.set_ylim(ylim[0], ylim[1])
var_plot = patches.ConnectionPatch(
(x, m - v), (x, m + v),
'data',
'data',
arrowstyle="|-|,widthA=1, widthB=1",
linestyle=MixturePlotter.VAR_STYLE,
lw=MixturePlotter.VAR_WIDTH,
color=MixturePlotter.VAR_COLOR)
p.axes.add_patch(var_plot)
def render_adjacency(self, A, team_id, ax, color='b', stepsize=1.0):
A = A.copy()
own_team_agents = [agent for agent in self.teams[team_id]]
other_agents = [
agent for other_team_id, team in self.teams.items()
for agent in team if not team_id == other_team_id
]
all_agents = own_team_agents + other_agents
for agent_id, agent in enumerate(all_agents):
for connected_agent_id in np.arange(len(A)):
if A[agent_id][connected_agent_id] > 0:
current_agent_pose = agent.prev_pose + (
agent.pose - agent.prev_pose) * stepsize
other_agent = all_agents[connected_agent_id]
other_agent_pose = other_agent.prev_pose + (
other_agent.pose - other_agent.prev_pose) * stepsize
ax.add_patch(
patches.ConnectionPatch(
[current_agent_pose[X], current_agent_pose[Y]],
[other_agent_pose[X], other_agent_pose[Y]],
"data",
edgecolor='g',
facecolor='none',
lw=1,
ls=":"))
A[connected_agent_id][
agent_id] = 0 # don't draw same connection again
def test_connection_patch():
fig, (ax1, ax2) = plt.subplots(1, 2)
con = mpatches.ConnectionPatch(xyA=(0.1, 0.1), xyB=(0.9, 0.9),
coordsA='data', coordsB='data',
axesA=ax2, axesB=ax1,
arrowstyle="->")
ax2.add_artist(con)
xyA = (0.6, 1.0) # in axes coordinates
xyB = (0.0, 0.2) # x in axes coordinates, y in data coordinates
coordsA = "axes fraction"
coordsB = ax2.get_yaxis_transform()
con = mpatches.ConnectionPatch(xyA=xyA, xyB=xyB, coordsA=coordsA,
coordsB=coordsB, arrowstyle="-")
ax2.add_artist(con)
def draw_geodesic(a, b, c, ax, c1=None, c2=None, verbose=False, width=.02):
cent = get_circle_center(a,b,c)
radius = euclid_dist(a, cent)
t1 = get_angles(cent, b)
t2 = get_angles(cent, a)
mask = np.logical_or(np.logical_and(t2 > t1, t2 - t1 < 180), np.logical_and(t1 > t2, t1 - t2 >= 180))
theta1 = np.where(mask, t1, t2)
theta2 = np.where(mask, t2, t1)
collinear_mask = collinear(a, b, c)
mask_ = np.logical_or(collinear_mask, np.abs(t1 - t2) < 10)
coordsA = "data"
coordsB = "data"
for ma_, a_, b_, c_, cent_, radius_, theta1_, theta2_ in zip(mask_, a, b, c, cent, radius, theta1, theta2):
if ma_:
e = patches.ConnectionPatch(a_, b_, coordsA, coordsB,
linewidth=width,
zorder=0,
)
else:
e = patches.Arc((cent_[0], cent_[1]), 2*radius_, 2*radius_,
theta1=theta1_, theta2=theta2_, linewidth=width, fill=False, zorder=0)
ax.add_patch(e)
def draw_node(state, color, radius_scale=1., dim=2, face=False):
if dim == 2:
facecolor = 'none'
if face:
facecolor = color
circle = patches.Circle(tuple(state + 1.0),
radius=0.02 * radius_scale,
edgecolor=color,
facecolor=facecolor)
plt.gca().add_patch(circle)
elif dim == 3:
a, b = MazeEnv._end_points(state)
plt.gca().add_patch(
patches.ConnectionPatch(a + 1.0,
b + 1.0,
'data',
arrowstyle="-",
linewidth=2,
color=color))
plt.gca().add_patch(
patches.Circle(a + 1.0,
radius=0.02 * radius_scale,
edgecolor=color,
facecolor=color))
def draw_edge(state0, state1, color, dim=2, style='-'):
path = patches.ConnectionPatch(tuple(state0[:2] + 1.0),
tuple(state1[:2] + 1.0),
'data',
arrowstyle=style,
color=color)
plt.gca().add_patch(path)
def drawMatch(match, finalLabels, autoLabels):
randCmap = np.random.rand(256, 3)
randCmap[0, :] = 0
cmap = mc.ListedColormap(randCmap)
f, ax = plt.subplots(1, 2, sharex=True, sharey=True)
ax[1].set_title('truth')
ax[1].imshow(finalLabels, cmap=cmap)
ax[0].set_title('auto')
ax[0].imshow(autoLabels, cmap=cmap)
for a, b in match.items():
#print a,b
xya = np.mean(np.where(finalLabels == a), axis=1)
xyb = np.mean(np.where(autoLabels == b), axis=1)
#print xya,xyb
coordsA = "data"
coordsB = "data"
con = mpatches.ConnectionPatch(xyA=xya[::-1],
xyB=xyb[::-1],
coordsA=coordsA,
coordsB=coordsB,
axesA=ax[1],
axesB=ax[0],
arrowstyle="->",
shrinkB=5,
color=cmap(a))
ax[1].add_artist(con)
return f, ax
def plot_region_line(tx, coords, _c, _plt):
#
i = 0
first_ploted = False
#
coord_line = []
#
for x in coords:
#
if i == len(coords) - 1:
pass
else:
#
if _plt:
#
_p = mpatches.ConnectionPatch(
x,
coords[i + 1],
"data",
lw=1,
arrowstyle='->,head_width=.15,head_length=.15',
shrinkB=7,
color=_c,
label='Label')
tx.add_patch(_p)
#
#
#
coord_line.append(x)
#
i = i + 1
#
#
#
return coord_line
def make_connection(
x1: float,
y1: float,
x2: float,
y2: float,
color: str,
opacity: float = 1.,
linewidth: float = 1.,
arrow_style: m_patches.ArrowStyle = m_patches.ArrowStyle.Curve()):
"""
Makes a line (with a particular arrow style) between (x1, y1) and (x2, y2)
Parameters
----------
x1
y1
x2
y2
arrow_style
color
opacity
linewidth
Returns
-------
matplotlib patch
"""
return m_patches.ConnectionPatch((x1, y1), (x2, y2),
"data",
"data",
arrowstyle=arrow_style,
edgecolor=color,
alpha=opacity,
linewidth=linewidth)
def connect_rectangles(Rectangle_1, Rectangle_2, LeftorRight, ax):
x1 = Rectangle_1[0] + Rectangle_1[2] / 2
y1 = Rectangle_1[1]
x2 = Rectangle_2[0] + Rectangle_2[2] / 2
y2 = Rectangle_2[1] + Rectangle_2[3]
if LeftorRight == "left":
text = "yes"
p = -1
else:
text = "no"
p = 1
coordsA = "data"
coordsB = "data"
con = mpatch.ConnectionPatch(xyA=(x1, y1),
xyB=(x2, y2),
coordsA=coordsA,
coordsB=coordsB,
arrowstyle="-")
ax.add_artist(con)
ax.annotate(
text,
((x1 + x2) / 2 + p, (y1 + y2) / 2),
color="b",
weight="bold",
fontsize=10,
ha="center",
va="center",
)
def plot_region_line(tx, coords, _c):
#
i = 0
#
for x in coords:
#
if i < len(coords) - 1:
#
_p = mpatches.ConnectionPatch(
x[1],
coords[i + 1][1],
"data",
lw=1,
arrowstyle='->,head_width=.15,head_length=.15',
shrinkB=5,
color=_c,
label='Label')
tx.add_patch(_p)
#
_midpoint = midpoint(x[1], coords[i + 1][1])
myradians = angle(x[1], coords[i + 1][1])
#
label(_midpoint, myradians, tx)
#
i = i + 1
def test_patch_str():
"""
Check that patches have nice and working `str` representation.
Note that the logic is that `__str__` is defined such that:
str(eval(str(p))) == str(p)
"""
p = mpatches.Circle(xy=(1, 2), radius=3)
assert str(p) == 'Circle(xy=(1, 2), radius=3)'
p = mpatches.Ellipse(xy=(1, 2), width=3, height=4, angle=5)
assert str(p) == 'Ellipse(xy=(1, 2), width=3, height=4, angle=5)'
p = mpatches.Rectangle(xy=(1, 2), width=3, height=4, angle=5)
assert str(p) == 'Rectangle(xy=(1, 2), width=3, height=4, angle=5)'
p = mpatches.Wedge(center=(1, 2), r=3, theta1=4, theta2=5, width=6)
assert str(p) == 'Wedge(center=(1, 2), r=3, theta1=4, theta2=5, width=6)'
p = mpatches.Arc(xy=(1, 2), width=3, height=4, angle=5, theta1=6, theta2=7)
expected = 'Arc(xy=(1, 2), width=3, height=4, angle=5, theta1=6, theta2=7)'
assert str(p) == expected
p = mpatches.Annulus(xy=(1, 2), r=(3, 4), width=1, angle=2)
expected = "Annulus(xy=(1, 2), r=(3, 4), width=1, angle=2)"
assert str(p) == expected
p = mpatches.RegularPolygon((1, 2), 20, radius=5)
assert str(p) == "RegularPolygon((1, 2), 20, radius=5, orientation=0)"
p = mpatches.CirclePolygon(xy=(1, 2), radius=5, resolution=20)
assert str(p) == "CirclePolygon((1, 2), radius=5, resolution=20)"
p = mpatches.FancyBboxPatch((1, 2), width=3, height=4)
assert str(p) == "FancyBboxPatch((1, 2), width=3, height=4)"
# Further nice __str__ which cannot be `eval`uated:
path = mpath.Path([(1, 2), (2, 2), (1, 2)], closed=True)
p = mpatches.PathPatch(path)
assert str(p) == "PathPatch3((1, 2) ...)"
p = mpatches.Polygon(np.empty((0, 2)))
assert str(p) == "Polygon0()"
data = [[1, 2], [2, 2], [1, 2]]
p = mpatches.Polygon(data)
assert str(p) == "Polygon3((1, 2) ...)"
p = mpatches.FancyArrowPatch(path=path)
assert str(p)[:27] == "FancyArrowPatch(Path(array("
p = mpatches.FancyArrowPatch((1, 2), (3, 4))
assert str(p) == "FancyArrowPatch((1, 2)->(3, 4))"
p = mpatches.ConnectionPatch((1, 2), (3, 4), 'data')
assert str(p) == "ConnectionPatch((1, 2), (3, 4))"
s = mpatches.Shadow(p, 1, 1)
assert str(s) == "Shadow(ConnectionPatch((1, 2), (3, 4)))"
def test_connection_patch():
fig, (ax1, ax2) = plt.subplots(1, 2)
con = mpatches.ConnectionPatch(xyA=(0.1, 0.1), xyB=(0.9, 0.9),
coordsA='data', coordsB='data',
axesA=ax2, axesB=ax1,
arrowstyle="->")
ax2.add_artist(con)
def test_patch_str():
"""
Check that patches have nice and working `str` representation.
Note that the logic is that `__str__` is defined such that:
str(eval(str(p))) == str(p)
"""
p = mpatches.Circle(xy=(1, 2), radius=3)
assert str(p) == 'Circle(xy=(1, 2), radius=3)'
p = mpatches.Ellipse(xy=(1, 2), width=3, height=4, angle=5)
assert str(p) == 'Ellipse(xy=(1, 2), width=3, height=4, angle=5)'
p = mpatches.Rectangle(xy=(1, 2), width=3, height=4, angle=5)
assert str(p) == 'Rectangle(xy=(1, 2), width=3, height=4, angle=5)'
p = mpatches.Wedge(center=(1, 2), r=3, theta1=4, theta2=5, width=6)
assert str(p) == 'Wedge(center=(1, 2), r=3, theta1=4, theta2=5, width=6)'
p = mpatches.Arc(xy=(1, 2), width=3, height=4, angle=5, theta1=6, theta2=7)
expected = 'Arc(xy=(1, 2), width=3, height=4, angle=5, theta1=6, theta2=7)'
assert str(p) == expected
p = mpatches.RegularPolygon((1, 2), 20, radius=5)
assert str(p) == "RegularPolygon((1, 2), 20, radius=5, orientation=0)"
p = mpatches.CirclePolygon(xy=(1, 2), radius=5, resolution=20)
assert str(p) == "CirclePolygon((1, 2), radius=5, resolution=20)"
p = mpatches.FancyBboxPatch((1, 2), width=3, height=4)
assert str(p) == "FancyBboxPatch((1, 2), width=3, height=4)"
# Further nice __str__ which cannot be `eval`uated:
path_data = [([1, 2], mpath.Path.MOVETO), ([2, 2], mpath.Path.LINETO),
([1, 2], mpath.Path.CLOSEPOLY)]
p = mpatches.PathPatch(mpath.Path(*zip(*path_data)))
assert str(p) == "PathPatch3((1, 2) ...)"
data = [[1, 2], [2, 2], [1, 2]]
p = mpatches.Polygon(data)
assert str(p) == "Polygon3((1, 2) ...)"
p = mpatches.FancyArrowPatch(path=mpath.Path(*zip(*path_data)))
assert str(p)[:27] == "FancyArrowPatch(Path(array("
p = mpatches.FancyArrowPatch((1, 2), (3, 4))
assert str(p) == "FancyArrowPatch((1, 2)->(3, 4))"
p = mpatches.ConnectionPatch((1, 2), (3, 4), 'data')
assert str(p) == "ConnectionPatch((1, 2), (3, 4))"
s = mpatches.Shadow(p, 1, 1)
assert str(s) == "Shadow(ConnectionPatch((1, 2), (3, 4)))"
with pytest.warns(MatplotlibDeprecationWarning):
p = mpatches.YAArrow(plt.gcf(), (1, 0), (2, 1), width=0.1)
assert str(p) == "YAArrow()"
def test_connection_patch_fig():
# Test that connection patch can be added as figure artist
fig, (ax1, ax2) = plt.subplots(1, 2)
xy = (0.3, 0.2)
con = mpatches.ConnectionPatch(xyA=xy, xyB=xy,
coordsA="data", coordsB="data",
axesA=ax1, axesB=ax2,
arrowstyle="->", shrinkB=5)
fig.add_artist(con)
fig.canvas.draw()
def plot_region_line(tx, coords, _c, scp):
#
'''
Draw lines only for points that are in sequence.
'''
#
i = 0
first_ploted = False
#
coord_line = []
#
for x in coords:
#
if i < len(coords) -1:
#
#
srt_num = x[3]
end_num = coords[i][3]
next_num = coords[i+1][3]
#
if srt_num in scp:
#
if i > 0 and first_ploted == False: # if the first line has not been ploted
#
pass
#
else:
#
if end_num+1 == next_num: # if the first line is in series
#
if i == 0:
#
first_ploted = True
#
#
_p = mpatches.ConnectionPatch(x[1],coords[i+1][1],"data", lw=1, arrowstyle='->,head_width=.15,head_length=.15', shrinkB=5, color=_c,label='Label')
tx.add_patch(_p)
#
#
_midpoint = midpoint(x[1],coords[i+1][1])
_degs = angle(x[1],coords[i+1][1])
#
label(_midpoint, _degs, tx)
#
coord_line.append(x)
#
#
i = i + 1
#
#
print("COORD LINE")
#
print(coord_line)
#
return coord_line
def plot_linked_points(ax, points, color='green'):
points = list(points)
for a, b in zip(points[:-1], points[1:]):
color = 'green' if 'ln_color' not in a else a['ln_color']
ax.add_patch(
patches.ConnectionPatch(a['xy'],
b['xy'],
'data',
lw=1,
color=color))
return ax
def set_layout(tree, ax=None, w=dims[0] / 2000, h=dims[0] / 2000):
if ax is None: ax = plt.gca()
ax = make_shape(ax, tree, w, h)
if len(tree.children) != 0:
for child in tree.children:
ax.scatter([tree.x, child.x],
[-tree.y - w / 2.0, -child.y + w / 2.0],
color="white")
s = mpatch.ConnectionPatch([tree.x, -tree.y - w / 2.0],
[child.x, -child.y + w / 2.0], "data")
ax.add_patch(s)
set_layout(child, ax=ax)
return set_limits(ax, get_xrange(tree, w), get_yrange(tree, h))
def make_ct(to_ct, cen_c, ax): # perps = [] # for coords in to_ct: # x = coords[0] y = coords[1] # _perp = getPerpCoord(cen_c[0], cen_c[1], x, y, 10000) # _perp_virtual = getPerpCoord(cen_c[0], cen_c[1], x, y, 50) # pp1 = mpatches.ConnectionPatch(cen_c,[x,y],"data", lw=0.5, color="g") ax.add_patch(pp1) # prp1 = mpatches.ConnectionPatch([_perp_virtual[0],_perp_virtual[1]],[_perp_virtual[2],_perp_virtual[3]],"data",arrowstyle='<->,head_width=.15,head_length=.15', lw=0.5, color="g") prp1.set_linestyle((0, (8,2))) ax.add_patch(prp1) # perps.append([[_perp[0],_perp[1]],[_perp[2],_perp[3]]]) # return perps
def _draw_3D_lattice(self, a=2.0, pbc=True):
all_links = []
for z in range(self.L[2]):
for y in range(self.L[1]):
for x in range(self.L[0]):
links = self._get_drawing_links([x * a, y * a, z * a], a)
for l in links:
all_links.append([[x * a, l[0]], [y * a, l[1]],
[z * a, l[2]]])
if (len(all_links) - 1) == 100:
self.ax.plot(*all_links[-1], color='red')
else:
# self.ax.plot(*all_links[-1],
# color='black',
# # color='#a3a2a2',
# lw=1.5,
# zorder=10-a*y
# )
xx, yy = zip(*all_links[-1])
xx = np.array(xx)
yy = np.array(yy)
ind = {'x': 0, 'y': 1, 'z': 2}
for c, d in [[[0, 1], 'z'], [[0, 2], 'y'],
[[1, 2], 'x']]:
con = mpatches.ConnectionPatch(
xyA=xx[c],
coordsA=self.ax.transData,
xyB=yy[c],
color='#555555')
con.set_linewidth(2.5)
shadow = mpatches.Shadow(con,
1,
-1,
props=dict(
fc="black",
ec="0.7",
lw=1,
capstyle='round'))
self.ax.add_patch(con)
self.ax.add_patch(shadow)
art3d.pathpatch_2d_to_3d(shadow,
z=xx[ind[d]],
zdir=d)
art3d.pathpatch_2d_to_3d(con,
z=xx[ind[d]],
zdir=d)
return all_links
def draw_geodesic(a, b, c, ax, verbose=False):
if verbose:
print("Geodesic points are ", a, "\n", b, "\n", c, "\n")
is_collinear = False
if collinear(a, b, c):
is_collinear = True
else:
cent = get_circle_center(a, b, c)
radius = euclid_dist(a, cent)
t1 = get_angles(cent, b)
t2 = get_angles(cent, a)
if verbose:
print("\ncenter at ", cent)
print("radius is ", radius)
print("angles are ", t1, " ", t2)
print("dist(a,center) = ", euclid_dist(cent, a))
print("dist(b,center) = ", euclid_dist(cent, b))
print("dist(c,center) = ", euclid_dist(cent, c))
# if the angle is really tiny, a line is a good approximation
if is_collinear or (np.abs(t1 - t2) < 2):
coordsA = "data"
coordsB = "data"
e = patches.ConnectionPatch(a, b, coordsA, coordsB, linewidth=2)
else:
if verbose:
print("angles are theta_1 = ", t1, " theta_2 = ", t2)
if (t2 > t1 and t2 - t1 < 180) or (t1 > t2 and t1 - t2 >= 180):
e = patches.Arc((cent[0], cent[1]),
2 * radius,
2 * radius,
theta1=t1,
theta2=t2,
linewidth=2,
fill=False,
zorder=2)
else:
e = patches.Arc((cent[0], cent[1]),
2 * radius,
2 * radius,
theta1=t2,
theta2=t1,
linewidth=2,
fill=False,
zorder=2)
ax.add_patch(e)
ax.plot(a[0], a[1], "o")
ax.plot(b[0], b[1], "o")
def animate(i):
global clients, companies
#clear figure at each iteration
fig.clf()
p = []
for k in districts:
#https://matplotlib.org/api/_as_gen/matplotlib.patches.Circle.html#matplotlib.patches.Circle package explanation
#these are supposed to be the location (each district)
p += [
patches.Circle((districts[k][0], districts[k][1]),
radius=0.01,
transform=fig.transFigure,
figure=fig)
]
for d in districts_connections:
#https://matplotlib.org/api/_as_gen/matplotlib.patches.ConnectionPatch.html#matplotlib.patches.ConnectionPatch package explanation
p += [
patches.ConnectionPatch(xyA=districts[d[0]],
xyB=districts[d[1]],
coordsA='figure fraction',
coordsB='figure fraction',
arrowstyle="-",
transform=fig.transFigure,
figure=fig)
]
#moving between Setubal and Evora ####### this is just a demo (a point moving) TODO: implement the movement of the trucks #######
print(world_set.step(clients, companies))
#https://matplotlib.org/api/_as_gen/matplotlib.patches.RegularPolygon.html#matplotlib.patches.RegularPolygon package explanation
for c in companies:
trucks = c.getTrucksOnTheMove()
for t in trucks:
#print("Truck ", t.getID(), " is at ", t.getCoordinates(), " with destination ", t.getDestination())
p += [
patches.RegularPolygon(t.getCoordinates(),
4,
radius=0.01,
color='r',
transform=fig.transFigure,
figure=fig)
]
#Add the objects updated to the figure
fig.patches.extend(p)
return fig
def draw_pitch(axes):
# focus on only half of the pitch
# pitch Outline & Centre Line
pitch = mp.Rectangle([0, 0], width=120, height=80, fill=False)
# Left, Right Penalty Area and midline
left_penalty = mp.Rectangle([0, 22.3], width=14.6, height=35.3, fill=False)
right_penalty = mp.Rectangle([105.4, 22.3],
width=14.6,
height=35.3,
fill=False)
midline = mp.ConnectionPatch([60, 0], [60, 80], "data", "data")
# Left, Right 6-yard Box
left_six_yard = mp.Rectangle([0, 32], width=4.9, height=16, fill=False)
right_six_yard = mp.Rectangle([115.1, 32],
width=4.9,
height=16,
fill=False)
# Prepare Circles
centre_circle = plt.Circle((60, 40), 8.1, color="black", fill=False)
centre_spot = plt.Circle((60, 40), 0.71, color="black")
# Penalty spots and Arcs around penalty boxes
left_pen_spot = plt.Circle((9.7, 40), 0.71, color="black")
right_pen_spot = plt.Circle((110.3, 40), 0.71, color="black")
left_arc = mp.Arc((9.7, 40),
height=16.2,
width=16.2,
angle=0,
theta1=310,
theta2=50,
color="black")
right_arc = mp.Arc((110.3, 40),
height=16.2,
width=16.2,
angle=0,
theta1=130,
theta2=230,
color="black")
element = [
pitch, left_penalty, right_penalty, midline, left_six_yard,
right_six_yard, centre_circle, centre_spot, right_pen_spot,
left_pen_spot, left_arc, right_arc
]
for j in element:
axes.add_patch(j)
def setup_bg(model):
# Plot lines for calendar
for i in range(1, 13):
color = (0, 1, 0, i / 12) #(r, g, b, a)
linewidth = .5
# 20th of each month is close to equinox/solstice
time = ts.utc(year, i, 20)
ex, ey, ez = model.earthPosition(time)
line_obj = mpatches.ConnectionPatch((0, 0), (ex, ey),
"data",
color=color,
linewidth=linewidth)
ax.add_patch(line_obj)
sun_obj = mpatches.Circle((0, 0), model.sun_rad, color='y')
ax.add_patch(sun_obj)
ax2.add_patch(mpatches.Circle((0, 0), 0.5, color='0.1'))
def main(left, right):
"""
Accepts two images -- left, right views of the same object.
Detects FAST corners.
Computes BRIEF descriptors.
Plots matching features.
"""
assert os.path.isabs(
left), "Please provide the absolute path; it's a CV2 thing."
assert os.path.isabs(
right), "Please provide the absolute path; it's a CV2 thing."
i1 = load_image(left)
i2 = load_image(right)
kps1, corners1 = get_fast_corners(i1)
plt.figure(figsize=(10, 10))
plt.imshow(corners1)
plt.show()
kps2, corners2 = get_fast_corners(i2)
plt.figure(figsize=(10, 10))
plt.imshow(corners2)
plt.show()
bdescr1 = get_brief_descriptors(i1, kps1, zip(p1, p2))
bdescr2 = get_brief_descriptors(i2, kps2, zip(p1, p2))
# Plot matching descriptors.
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(20, 10))
ax1.imshow(corners1)
ax2.imshow(corners2)
for one, two in matcher(bdescr1, bdescr2, threshold=0.82):
conpatch = patches.ConnectionPatch(xyA=two,
xyB=one,
coordsA="data",
coordsB="data",
color='green',
axesA=ax2,
axesB=ax1)
ax2.add_artist(conpatch)
plt.show()
def box_connected_two_axes(small_ax, big_ax, box_corner, box_dims, color='blue') :
# draw boxes
for ax in [small_ax, big_ax] :
ax.add_patch(patches.Rectangle(box_corner, box_dims[0], box_dims[1], fill=False, color=color))
# link them up
for i0 in range(2) :
for j0 in range(2) :
corner_coordinates = (box_corner[0] + box_dims[0] * i0, box_corner[1] + box_dims[1] * j0)
a = big_ax.add_artist(patches.ConnectionPatch(
xyA=corner_coordinates
, xyB=corner_coordinates
, coordsA="data"
, coordsB="data"
, axesA=big_ax
, axesB=small_ax
, color=color
))
a.set_in_layout(
False) # otherwise matplotlib tries to stretch the plot to "fit" the lines in, and the imshow maps become tiny
def draw_connect(axA, axB, q, r, qp, x):
color = 'red' if qp ==0 else \
'orange' if qp == 1 or qp == 4 else \
'green'
f = interp1d(list(r.keys()), list(r.values()))
x1 = 0 if x != 0 else 1
x2 = f(q[qp]) if x != 0 else 0
print(q[qp], x2)
axA.add_artist(
patches.ConnectionPatch(xyA=(x1, q[qp]),
xyB=(x2, q[qp]),
coordsA="data",
coordsB="data",
axesA=axA,
axesB=axB,
color=color,
zorder=1000,
linestyle='--'))
