from utils import FPS
import multiprocessing
import numpy as np
import argparse
import dlib
import cv2
#perfmon
def start_tracker(box, label, rgb, inputQueue, outputQueue):
t = dlib.correlation_tracker()
rect = dlib.rectangle(int(box[0]), int(box[1]), int(box[2]), int(box[3]))
t.start_track(rgb, rect)
while True:
# 获取下一帧
rgb = inputQueue.get()
# 非空就开始处理
if rgb is not None:
# 更新追踪器
t.update(rgb)
pos = t.get_position()
startX = int(pos.left())
startY = int(pos.top())
endX = int(pos.right())
endY = int(pos.bottom())
# 把结果放到输出q
outputQueue.put((label, (startX, startY, endX, endY)))
ap = argparse.ArgumentParser()
ap.add_argument("-p", "--prototxt", required=True,
help="path to Caffe 'deploy' prototxt file")
ap.add_argument("-m", "--model", required=True,
help="path to Caffe pre-trained model")
ap.add_argument("文章来源地址https://www.toymoban.com/news/detail-657505.html
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