Mercurial > hg > nsaunier > traffic-intelligence
comparison python/sensors.py @ 863:a8ca72dc1564
work on user detectors
| author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
|---|---|
| date | Tue, 08 Nov 2016 17:59:40 -0500 |
| parents | |
| children | 933670761a57 |
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| 862:2d6249fe905a | 863:a8ca72dc1564 |
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| 1 #! /usr/bin/env python | |
| 2 '''Libraries for detecting, counting, etc., road users''' | |
| 3 | |
| 4 from numpy import mean, isnan | |
| 5 | |
| 6 import moving | |
| 7 | |
| 8 # TODO graphical user interface for creation | |
| 9 | |
| 10 class Sensor: | |
| 11 def detect(self, o): | |
| 12 print("Detect method not implemented") | |
| 13 return False | |
| 14 | |
| 15 def detectInstants(self, o): | |
| 16 print("DetectInstants method not implemented") | |
| 17 return [] | |
| 18 | |
| 19 class BoxSensor(Sensor): | |
| 20 def __init__(self, polygon, minNPointsInBox = 1): | |
| 21 self.polygon = polygon # check 2xN? | |
| 22 self.minNPointsInBox = minNPointsInBox | |
| 23 | |
| 24 def detectInstants(self, obj): | |
| 25 indices = obj.getPositions().getInstantsInPolygon(self.polygon) | |
| 26 firstInstant = obj.getFirstInstant() | |
| 27 return [i+firstInstant for i in indices] | |
| 28 | |
| 29 def detect(self, obj): | |
| 30 instants = self.detectInstants(obj) | |
| 31 return len(instants) >= self.minNPointsInBox | |
| 32 | |
| 33 def detectAnd(sensors, obj): | |
| 34 'Returns True if all sensors detect the object' | |
| 35 result = True | |
| 36 for s in sensors: | |
| 37 result = result and s.detect(obj) | |
| 38 if not result: | |
| 39 return result | |
| 40 return result | |
| 41 | |
| 42 def detectOr(sensors, obj): | |
| 43 'Returns True if any sensor detects the object' | |
| 44 result = False | |
| 45 for s in sensors: | |
| 46 result = result or s.detect(obj) | |
| 47 if result: | |
| 48 return result | |
| 49 return result | |
| 50 | |
| 51 def detectAndOrder(sensors, obj): | |
| 52 'Returns True if all sensors are detected and in their order' | |
| 53 detectionInstants = [] | |
| 54 for s in sensors: | |
| 55 instants = s.detectInstants(obj) | |
| 56 if len(instants) == 0: | |
| 57 return False | |
| 58 else: | |
| 59 detectionInstants.append(mean(instants)) | |
| 60 result = True | |
| 61 for i in xrange(len(sensors)-1): | |
| 62 result = result and (detectionInstants[i] <= detectionInstants[i+1]) | |
| 63 if not result: | |
| 64 return result | |
| 65 return result |
