Opencv-Python目标追踪_trackerkcf_create

enter

import cv2
import sys

# 获得opencv版本
(major_ver, minor_ver, subminor_ver) = (cv2.__version__).split('.')

if __name__ == '__main__':

    tracker_types = ['BOOSTING', 'CSRT', 'MIL', 'KCF', 'TLD', 'MEDIANFLOW', 'GOTURN', 'MOSSE']
    tracker_type = tracker_types[1]

    if int(minor_ver) < 3:
        tracker = cv2.Tracker_create(tracker_type)
    else:
        if tracker_type == 'BOOSTING':
            tracker = cv2.TrackerBoosting_create()
        if tracker_type == 'MIL':
            tracker = cv2.TrackerMIL_create()
        if tracker_type == 'KCF':
            tracker = cv2.TrackerKCF_create()
        if tracker_type == 'TLD':
            tracker = cv2.TrackerTLD_create()
        if tracker_type == 'MEDIANFLOW':
            tracker = cv2.TrackerMedianFlow_create()
        if tracker_type == 'GOTURN':
            tracker = cv2.TrackerGOTURN_create()
        if tracker_type == 'MOSSE':
            tracker = cv2.TrackerMOSSE_create()
        if tracker_type == 'CSRT':
            tracker = cv2.TrackerCSRT_create()

    video = cv2.VideoCapture("video_3.mp4")
    # video = cv2.VideoCapture(0)
    if not video.isOpened():
        print("无法打开视频")
        sys.exit()

    # Read first frame.
    ret, frame = video.read()
    if not ret:
        print('无法读取视频')
        sys.exit()

    # 定义一个初始的边界框
    #bbox = (287, 23, 86, 320)

    # 取消下面的注释以选择一个不同的边框
    bbox = cv2.selectROI(frame, False)

    # 用第一帧和边框初始化跟踪器
    ret = tracker.init(frame, bbox)

    while True:
        # Read a new frame
        ret, frame = video.read()
        # frame = cv2.flip(frame, 0)
        if not ret:
            break

        timer = cv2.getTickCount()

        # 更新跟踪器
        ret, bbox = tracker.update(frame)

        # 计算每秒帧数(FPS)
        fps = cv2.getTickFrequency() / (cv2.getTickCount() - timer)

        # Draw bounding box
        if ret:
            # 跟踪成功
            p1 = (int(bbox[0]), int(bbox[1]))
            p2 = (int(bbox[0] + bbox[2]), int(bbox[1] + bbox[3]))
            cv2.rectangle(frame, p1, p2, (51, 0, 255), 2, 1)
        else:
            # 跟踪失败
            cv2.putText(frame, "Tracking failure detected", (100, 80), cv2.FONT_HERSHEY_SIMPLEX, 0.75, (0, 0, 255), 2)

        # 显示跟踪器类型
        cv2.putText(frame, tracker_type + " Tracker", (100, 20), cv2.FONT_HERSHEY_SIMPLEX, 0.75, (51, 0, 204), 2)

        # 图像上显示帧率
        cv2.putText(frame, "FPS : " + str(int(fps)), (100, 50), cv2.FONT_HERSHEY_SIMPLEX, 0.75, (51, 0, 204), 2)

        cv2.imshow("Tracking", frame)

        k = cv2.waitKey(1) & 0xff
        if k == 27:
            break
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