53 lines
1.1 KiB
Python
53 lines
1.1 KiB
Python
# from tracker import update_tracker
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import cv2
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class baseDet(object):
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def __init__(self):
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self.img_size = 640
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self.threshold = 0.3
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self.stride = 1
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# self.dete_weights=''
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def build_config(self):
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self.faceTracker = {}
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self.faceClasses = {}
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self.faceLocation1 = {}
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self.faceLocation2 = {}
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self.frameCounter = 0
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self.currentCarID = 0
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self.recorded = []
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self.font = cv2.FONT_HERSHEY_SIMPLEX
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def feedCap(self, im):
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retDict = {
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'frame': None,
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'faces': None,
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'list_of_ids': None,
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'face_bboxes': []
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}
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self.frameCounter += 1
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# im, faces, face_bboxes = update_tracker(self, im)
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retDict['frame'] = im
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# retDict['faces'] = faces
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# retDict['face_bboxes'] = face_bboxes
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return retDict
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def init_model(self):
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raise EOFError("Undefined model type.")
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def preprocess(self):
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raise EOFError("Undefined model type.")
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def detect(self):
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raise EOFError("Undefined model type.")
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