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Node_Person.py
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from Node import *
import os
import numpy as np
class Person(Node):
def __init__(self, isLocation2D=True, initParams=None, time_series_length=None, idx=None):
"""
@gihan what are these params
:param isLocation2D: ??? @gihan
:param time_series_length: Number of time samples
"""
super().__init__(initParams=None, time_series_length=time_series_length, idx=idx)
self.location2D=isLocation2D
# self.type = 'Person'
self.init_pos()
self.init_handshake()
if initParams is not None:
self.setParamsFromDict(initParams)
# for par in self.params:
# print("NODE_PERSON", par, self.params[par])
# def setInitialLocation(self,X,Y,Z=None):
# self.params["X"][0]=X
# self.params["Y"][0]=Y
def init_handshake(self):
# print("Initializing handshake")
self.params["handshake"]=[{"person":None,"confidence":None, "iou":None, "id":None} for _ in range(self.time_series_length)]
# self.addParam("handshake")
# for t in range(self.time_series_length): # @gihan : Why are there multiple time series lengths? Shouldn't this be global?
# self.setParam("handshake", t, {"person":None,"confidence":None})
def init_pos(self):
self.params["xMin"]=[0 for _ in range(self.time_series_length)]
self.params["yMin"]=[0 for _ in range(self.time_series_length)]
self.params["xMax"]=[0 for _ in range(self.time_series_length)]
self.params["yMax"]=[0 for _ in range(self.time_series_length)]
self.params["detection"]=[False for _ in range(self.time_series_length)]
def calculate_standing_locations(self):
if "X" not in self.params.keys():
self.addParam("X")
if "Y" not in self.params.keys():
self.addParam("Y")
# pointOnFloorX=(frames[t][pt]["bbox"][0]+frames[t][pt]["bbox"][2])/2
# pointOnFloorY=frames[t][pt]["bbox"][3]
# node.setParam("X",t,pointOnFloorX)
# node.setParam("Y",t,pointOnFloorY)
# node.setParam("detection",t,True)
for t in range(self.time_series_length):
X = int((self.params["xMin"][t] + self.params["xMax"][t])/2)
self.setParam("X", t, X)
self.setParam("Y", t, self.params["yMax"][t])
def calculate_detected_time_period(self, debug=False):
f_name = os.path.basename(__file__)
if debug:
print("\t {} [DEBUG]: running person calc".format(f_name))
startT=0
endTExclusive=self.time_series_length
# print(self.params["detection"])
for t in range(0,self.time_series_length):
if self.params["detection"][t]==True: break
startT=t+1
for t in range(self.time_series_length-1,0,-1):
if self.params["detection"][t]==True:
break
endTExclusive=t
if startT <endTExclusive:
self.params["neverDetected"]=False
self.params["detectionStartT"]=startT
self.params["detectionEndTExclusive"]=endTExclusive
else:
self.params["neverDetected"]=True
def interpolate_undetected_timestamps(self, debug=False):
'''
Gihan (25/03/2021)
I am implementing this without thinking straight.
I will be refining this logic later on.
'''
f_name = os.path.basename(__file__)
self.calculate_standing_locations()
self.calculate_detected_time_period(debug=debug)
self.params["interpolated"]=[False for _ in range(self.time_series_length)]
if not self.params["neverDetected"]:
t1=self.params["detectionStartT"]
while t1<self.params["detectionEndTExclusive"]:
if self.params["detection"][t1]==True:
t1+=1
else:
t2=t1
while t2<self.params["detectionEndTExclusive"]:
if self.params["detection"][t2]==False:
t2+=1
else:
# @GIHAN : WTF?
if debug:
print("\t " + f_name + " [DEBUG]: INTERPOLATION (before): ",t1,t2)
# print("DEBUG INTERPOLATION: ",self.params["detection"])
for a in range(t1-2,t2+2):
print("\t\t ", a, self.params["detection"][a], self.params["X"][a],self.params["Y"][a])
#Now we know t1----t2(exclusive) are false detections.
toFillCount=t2-t1
xStep=(self.params["X"][t2]-self.params["X"][t1-1])/toFillCount
yStep=(self.params["Y"][t2]-self.params["Y"][t1-1])/toFillCount
for tt in range(toFillCount):
self.setParam("X",t1+tt, self.params["X"][t1-1] + tt*xStep)
self.setParam("Y",t1+tt, self.params["Y"][t1-1] + tt*yStep)
self.setParam("interpolated",t1+tt,True)
if debug:
print("\t " + f_name + " [DEBUG]: INTERPOLATION (after): ",t1,t2)
# print("DEBUG INTERPOLATION: ",self.params["detection"])
for a in range(t1-2,t2+2):
print("\t\t ", a, self.params["detection"][a], self.params["X"][a],self.params["Y"][a])
t1=t2
break
def interpolate_undetected(self, debug=False):
'''
Gihan (25/03/2021)
I am implementing this without thinking straight.
I will be refining this logic later on.
@suren updated this
'''
f_name = os.path.basename(__file__)
self.params["interpolated"]=[False for _ in range(self.time_series_length)]
if "X" not in self.params.keys() or "Y" not in self.params.keys():
self.calculate_standing_locations()
det = np.where(self.params["detection"])[0]
if len(det) > 0:
start = det[0]
end = det[-1]+1
self.params["neverDetected"]=False
self.params["detectionStartT"]=int(start)
self.params["detectionEndTExclusive"]=int(end)
X = self.params["X"]
Y = self.params["Y"]
x_det = np.array(X)[det]
y_det = np.array(Y)[det]
x_interp = np.interp(np.arange(start, end), det, x_det)
y_interp = np.interp(np.arange(start, end), det, y_det)
X[start:end] = x_interp.tolist()
Y[start:end] = y_interp.tolist()
self.params["interpolated"][start:end] = np.invert(self.params["detection"][start:end]).astype('bool').tolist()
self.params["interpolated"] = self.params["interpolated"]
self.params["X"] = X
self.params["Y"] = Y
else:
self.params["neverDetected"]=True
def project_standing_location(self, transMatrix, debug=False):
XY_mat = np.array([self.params["X"], self.params["Y"], np.ones(self.time_series_length)])
projected = np.dot(transMatrix, XY_mat)
projected[0, :] /= projected[2, :]
projected[1, :] /= projected[2, :]
self.params["X_project"] = projected[0, :].tolist()
self.params["Y_project"] = projected[1, :].tolist()