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import argparse
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import cv2
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import numpy as np
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import cv2.legacy
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ap = argparse.ArgumentParser()
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ap.add_argument("-v", "--video", type=str,
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help="path to input video file")
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ap.add_argument("-t", "--tracker", type=str, default="kcf",
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help="OpenCV object tracker type")
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args = vars(ap.parse_args())
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OPENCV_OBJECT_TRACKERS = {
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"csrt": cv2.legacy.TrackerCSRT_create,
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"kcf": cv2.TrackerKCF_create,
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"boosting": cv2.legacy.TrackerBoosting_create,
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"mil": cv2.TrackerMIL_create,
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"tld": cv2.legacy.TrackerTLD_create,
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"medianflow": cv2.legacy.TrackerMedianFlow_create,
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"mosse": cv2.legacy.TrackerMOSSE_create
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}
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# 实例化OpenCV's multi-object tracker
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trackers = cv2.legacy.MultiTracker_create()
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vs = cv2.VideoCapture(args["video"])
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while True:
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frame = vs.read()
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frame = frame[1]
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if frame is None:
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break
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# resize每一帧
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(h, w) = frame.shape[:2]
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width=600
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r = width / float(w)
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dim = (width, int(h * r))
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frame = cv2.resize(frame, dim, interpolation=cv2.INTER_AREA)
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# 追踪结果
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(success, boxes) = trackers.update(frame)
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# 绘制区域
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for box in boxes:
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(x, y, w, h) = [int(v) for v in box]
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cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
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# 显示
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cv2.imshow("Frame", frame)
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key = cv2.waitKey(100) & 0xFF
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if key == ord("s"):
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# 选择一个区域，按s
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box = cv2.selectROI("Frame", frame, fromCenter=False,
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showCrosshair=True)
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# 创建一个新的追踪器
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tracker = OPENCV_OBJECT_TRACKERS[args["tracker"]]()
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trackers.add(tracker, frame, box)
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# 退出
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elif key == 27:
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break
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vs.release()
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cv2.destroyAllWindows()
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