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Opencv 追踪算法

Opencv 追踪算法

作者: pokeey | 来源:发表于2019-07-24 16:24 被阅读0次

opencv-contrib-python 4.1.0.25
opencv-python 4.1.0.25
Python 3.7.3
GOTURN等部分算法包含在contrib中,需要安装opencv-contrib-python库才能使用

import cv2

video = cv2.VideoCapture(0)
tracker = cv2.TrackerGOTURN_create() // 不同的解码器只需在这替换实例化方法

while True:
    # Read a new frame
    ok, frame = video.read()
    if not ok:
        break

    # Start timer
    timer = cv2.getTickCount()

    # Update tracker
    ok, bbox = tracker.update(frame)

    # Calculate Frames per second (FPS)
    fps = cv2.getTickFrequency() / (cv2.getTickCount() - timer)

    # Draw bounding box
    if ok:
        # Tracking success
        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:
        # Tracking failure
        cv2.putText(frame, "Tracking failure detected", (100, 80),
                    cv2.FONT_HERSHEY_SIMPLEX, 0.75, (0, 0, 255), 2)

    # Display tracker type on frame
    cv2.putText(frame, "GOTURN Tracker", (100, 20), cv2.FONT_HERSHEY_SIMPLEX,
                0.75, (50, 170, 50), 2)

    # Display FPS on frame
    cv2.putText(frame, "FPS : " + str(int(fps)), (100, 50),
                cv2.FONT_HERSHEY_SIMPLEX, 0.75, (50, 170, 50), 2)

    # Display result
    cv2.imshow("Tracking", frame)

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

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