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Add stripped inference-only model code mirror
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from .sort import Sort
import numpy as np
def get_detections(faces):
detections = []
for face in faces:
x1, y1, x2, y2 = face[0]
detections.append((x1, y1, x2, y2, face[-1]))
return np.array(detections)
def get_tracks(detect_results):
tracks = {}
mot_tracker = Sort()
for faces in detect_results:
detections = get_detections(faces)
track_bbs_ids = mot_tracker.update(detections)
for track in track_bbs_ids: # 单独框出每一张人脸
id = int(track[-1])
box = track[:4]
if id in tracks:
tracks[id].append(box)
else:
tracks[id] = [box]
return [track for id, track in tracks.items() if len(track) == len(detect_results)]