本站于2023年9月4日。收到“大连君*****咨询有限公司”通知
说我们IIS7站长博客，有一篇博文用了他们的图片。
要求我们给他们一张图片6000元。要不然法院告我们

为避免不必要的麻烦，IIS7站长博客，全站内容图片下架、并积极应诉
博文内容全部不再显示，请需要相关资讯的站长朋友到必应搜索。谢谢！

另祝：版权碰瓷诈骗团伙，早日弃暗投明。

相关新闻：借版权之名、行诈骗之实，周某因犯诈骗罪被判处有期徒刑十一年六个月

叹！百花齐放的时代,渐行渐远!

---

 1.单目标跟踪

import cv2
import sys

(major_ver, minor_ver, subminor_ver) = (cv2.__version__).split('.')
print(major_ver, minor_ver, subminor_ver)

if __name__ == '__main__':
    # 创建跟踪器
    tracker_type = 'MIL'
    tracker = cv2.TrackerMIL_create()
    # 读入视频
    video = cv2.VideoCapture("./data/1.mp4")
    # 读入第一帧
    ok, frame = video.read()
    if not ok:
        print('Cannot read video file')
        sys.exit()
    # 定义一个bounding box
    bbox = (287, 23, 86, 320)
    bbox = cv2.selectROI(frame, False)
    # 用第一帧初始化
    ok = tracker.init(frame, bbox)

    while True:
        ok, frame = video.read()
        if not ok:
            break
        # Start timer
        timer = cv2.getTickCount()
        # Update tracker
        ok, bbox = tracker.update(frame)
        # Cakculate FPS
        fps = cv2.getTickFrequency() / (cv2.getTickCount() - timer)
        # Draw bonding box
        if ok:
            p1 = (int(bbox[0]), int(bbox[1]))
            p2 = (int(bbox[0] + bbox[2]), int(bbox[1] + bbox[3]))
            cv2.rectangle(frame, p1, p2, (255,0,0), 2, 1)
        else:
            cv2.putText(frame, "Tracking failed detected", (100, 80), cv2.FONT_HERSHEY_SIMPLEX, 0.75, (0, 0, 255), 2)
        # 展示tracker类型
        cv2.putText(frame, tracker_type+"Tracker", (100, 20), cv2.FONT_HERSHEY_SIMPLEX, 0.75, (50, 170, 50), 2)
        # 展示FPS
        cv2.putText(frame, "FPS:"+str(fps), (100, 50), cv2.FONT_HERSHEY_SIMPLEX, 0.75, (50, 170, 50), 2)
        # Result
        cv2.imshow("Tracking", frame)

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

2.多目标跟踪

使用GOTURN作为跟踪器时，须将goturn.caffemodel和goturn.prototxt放到工作目录才能运行，解决问题链接https://stackoverflow.com/questions/48802603/getting-deep-learning-tracker-goturn-to-run-opencv-python

import cv2
import sys

(major_ver, minor_ver, subminor_ver) = (cv2.__version__).split('.')
print(major_ver, minor_ver, subminor_ver)

if __name__ == '__main__':
    # 创建跟踪器
    # 'BOOSTING', 'MIL','KCF', 'TLD', 'MEDIANFLOW', 'GOTURN', 'MOSSE'
    tracker_type = 'MIL'
    tracker = cv2.MultiTracker_create()
    # 创建窗口
    cv2.namedWindow("Tracking")
    # 读入视频
    video = cv2.VideoCapture("./data/1.mp4")
    # 读入第一帧
    ok, frame = video.read()
    if not ok:
        print('Cannot read video file')
        sys.exit()
    # 定义一个bounding box
    box1 = cv2.selectROI("Tracking", frame)
    box2 = cv2.selectROI("Tracking", frame)
    box3 = cv2.selectROI("Tracking", frame)
    # 用第一帧初始化
    ok = tracker.add(cv2.TrackerMIL_create(), frame, box1)
    ok1 = tracker.add(cv2.TrackerMIL_create(), frame, box2)
    ok2 = tracker.add(cv2.TrackerMIL_create(), frame, box3)
    while True:
        ok, frame = video.read()
        if not ok:
            break
        # Start timer
        timer = cv2.getTickCount()
        # Update tracker
        ok, boxes = tracker.update(frame)
        print(ok, boxes)
        # Cakculate FPS
        fps = cv2.getTickFrequency() / (cv2.getTickCount() - timer)
        for box in boxes:
            # Draw bonding box
            if ok:
                p1 = (int(box[0]), int(box[1]))
                p2 = (int(box[0] + box[2]), int(box[1] + box[3]))
                cv2.rectangle(frame, p1, p2, (255, 0, 0), 2, 1)
            else:
                cv2.putText(frame, "Tracking failed detected", (100, 80), cv2.FONT_HERSHEY_SIMPLEX, 0.75, (0, 0, 255),2)
        # 展示tracker类型
        cv2.putText(frame, tracker_type+"Tracker", (100, 20), cv2.FONT_HERSHEY_SIMPLEX, 0.75, (50, 170, 50), 2)
        # 展示FPS
        cv2.putText(frame, "FPS:"+str(fps), (100, 50), cv2.FONT_HERSHEY_SIMPLEX, 0.75, (50, 170, 50), 2)
        # Result
        cv2.imshow("Tracking", frame)

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

 

 

cs