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import numpy as np
def get_color_map():
color = np.array([
[244,242,229], # living room
[253,244,171], # bedroom
[234,216,214], # kitchen
[205,233,252], # bathroom
[208,216,135], # balcony
[185,231,168], # balcony
[249,222,189], # Storage
[ 79, 79, 79], # exterior wall
[255,225, 25], # FrontDoor
[128,128,128], # interior wall
[255,255,255]
],dtype=np.int64)
cIdx = np.array([1,2,3,4,1,2,2,2,2,5,1,6,1,10,7,8,9,10])-1
return color[cIdx]
def rot90_2D(pts,k=1,cnt=np.array([127.5,127.5])):
ang = k*np.pi/2
R = np.array([[np.cos(ang),np.sin(ang)],[-np.sin(ang),np.cos(ang)]])
return np.dot(pts-cnt,R)+cnt
def fliplr_2D(pts,size=255):
return np.stack([pts[:,0],size-pts[:,1]],1)
def align_image(image,rot_old,rot_new=0):
k = np.ceil((rot_old-rot_new+2*np.pi)%(2*np.pi)/(np.pi/4))//2
return np.rot90(image,k)
def align_box(box,rot_old,rot_new=0):
box = box-np.array([0,0,1,1])
k = np.ceil((rot_old-rot_new+2*np.pi)%(2*np.pi)/(np.pi/4))//2
box = rot90_2D(box.reshape(-1,2),k).reshape(-1,4)
return np.concatenate([np.minimum(box[:,:2],box[:,2:]),np.maximum(box[:,:2],box[:,2:])+1],-1).round().astype(int)
def fliplr_box(box,size=255):
box = box-np.array([0,0,1,1])
box=fliplr_2D(box.reshape(-1,2),size=size).reshape(-1,4)
return np.concatenate([np.minimum(box[:,:2],box[:,2:]),np.maximum(box[:,:2],box[:,2:]+1)],-1).round().astype(int)
def align_points(pts, rot_old, rot_new=0):
k = np.ceil((rot_old - rot_new + 2 * np.pi) % (2 * np.pi) / (np.pi / 4)) // 2
pts = rot90_2D(pts, k)
return pts.round().astype(int)
def point_box_relation(u,vbox):
uy,ux = u
vy0, vx0, vy1, vx1 = vbox
if (ux<vx0 and uy<=vy0) or (ux==vx0 and uy==vy0):
relation = 'left-above'
elif (vx0<=ux<vx1 and uy<=vy0):
relation = 'above'
elif (vx1<=ux and uy<vy0) or (ux==vx1 and uy==vy0):
relation = 'right-above'
elif (vx1<=ux and vy0<=uy<vy1):
relation = 'right-of'
elif (vx1<ux and vy1<=uy) or (ux==vx1 and uy==vy1):
relation = 'right-below'
elif (vx0<ux<=vx1 and vy1<=uy):
relation = 'below'
elif (ux<=vx0 and vy1<uy) or (ux==vx0 and uy==vy1):
relation = 'left-below'
elif(ux<=vx0 and vy0<uy<=vy1):
relation = "left-of"
elif(vx0<ux<vx1 and vy0<uy<vy1):
relation = "inside"
return relation
def get_vocab():
room_label = [(0, 'LivingRoom', 1, "PublicArea"),
(1, 'MasterRoom', 0, "Bedroom"),
(2, 'Kitchen', 1, "FunctionArea"),
(3, 'Bathroom', 0, "FunctionArea"),
(4, 'DiningRoom', 1, "FunctionArea"),
(5, 'ChildRoom', 0, "Bedroom"),
(6, 'StudyRoom', 0, "Bedroom"),
(7, 'SecondRoom', 0, "Bedroom"),
(8, 'GuestRoom', 0, "Bedroom"),
(9, 'Balcony', 1, "PublicArea"),
(10, 'Entrance', 1, "PublicArea"),
(11, 'Storage', 0, "PublicArea"),
(12, 'Wall-in', 0, "PublicArea"),
(13, 'External', 0, "External"),
(14, 'ExteriorWall', 0, "ExteriorWall")
]
predicates = [
'left-above',
'left-below',
'left-of',
'above',
'inside',
'surrounding',
'below',
'right-of',
'right-above',
'right-below'
]
door_pos = [
'nan',
'bottom',
'bottom-right','right-bottom',
'right',
'right-top','top-right',
'top',
'top-left','left-top',
'left',
'left-bottom','bottom-left'
]
vocab = {
'object_name_to_idx':{},
'object_to_idx':{},
'object_idx_to_name':[],
'pred_idx_to_name':[],
'pred_name_to_idx':{},
'door_idx_to_name':[],
'door_name_to_idx':{}
}
vocab['object_name_to_idx'] = { label:index for index,label,_,_ in room_label[:] }
vocab['object_to_idx'] = {str(index):index for index,lable,_,_ in room_label}
vocab['object_idx_to_name'] = [label for index,label,_,_ in room_label]
vocab['pred_idx_to_name'] = [p for i,p in enumerate(predicates)]
vocab['pred_name_to_idx'] = {p:i for i,p in enumerate(predicates)}
vocab['door_idx_to_name'] = [p for i,p in enumerate(door_pos)]
vocab['door_name_to_idx'] = {p:i for i,p in enumerate(door_pos)}
return vocab
def int_tuple(s):
return tuple(int(i) for i in s.split(','))
def float_tuple(s):
return tuple(float(i) for i in s.split(','))
def str_tuple(s):
return tuple(s.split(','))
def bool_flag(s):
if s == '1':
return True
elif s == '0':
return False
msg = 'Invalid value "%s" for bool flag (should be 0 or 1)'
raise ValueError(msg % s) |