OpenCV AttributeError 模块“cv2.cv2”没有属性“Tracker_create”

Question

我试图运行此代码但出现属性错误。任何帮助将不胜感激。

     import cv2
    import sys

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

    if __name__ == '__main__':

    # Set up tracker.
    # Instead of MIL, you can also use

    tracker_types = ['BOOSTING', 'MIL','KCF', 'TLD', 'MEDIANFLOW', 'CSRT', 'MOSSE']
    tracker_type = tracker_types[5]

    if int(minor_ver) < 3:
        tracker = cv2.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 == 'CSRT':
            tracker = cv2.TrackerCSRT_create()
        if tracker_type == 'MOSSE':
            tracker = cv2.TrackerMOSSE_create()

    # Read video
    video = cv2.VideoCapture("./videos/chaplin.mp4")

    # Exit if video not opened.
    if not video.isOpened():
        print("Could not open video")
        sys.exit()

    # Read first frame.
    ok, frame = video.read()
    if not ok:
        print('Cannot read video file')
        sys.exit()

    # Define an initial bounding box
    bbox = (287, 23, 86, 320)

    # Uncomment the line below to select a different bounding box
    bbox = cv2.selectROI(frame, False)

    # Initialize tracker with first frame and bounding box
    ok = tracker.init(frame, bbox)

    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, tracker_type + " 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

输出：

 Traceback (most recent call last):
  File "C:\Users\Jatin\OpenCV-Object-Tracking\index.py", line 15, in <module>
    tracker = cv2.cv2.Tracker_create(tracker_type)
AttributeError: module 'cv2.cv2' has no attribute 'Tracker_create'

原文由 Jatin Rao 发布，翻译遵循 CC BY-SA 4.0 许可协议

Answer 1

这取决于您安装的 OpenCV 包和版本。

我相信您需要 OpenCV 3.4+ 才能运行这些模型。一些跟踪器模型在 3.2 和 3.3 中可用。脚本中的所有跟踪器都在 3.4 中可用

OpenCV 包： opencv-python ：此存储库包含 OpenCV 库的主要模块。

opencv-contrib-python ：opencv-contrib-python 存储库包含主要模块和 contrib 模块

python -m pip install opencv-contrib-python ，检查你是否有 3.4+， pip show opencv 。

有关详细信息，请参阅 如何安装 opencv

更新

正如@user48956 指出的那样 opencv v 4.5.x 已将其中一些算法移至 cv2.legacy 。例如，访问 TrackerMOSSE_create 函数。您必须从 cv2.legacy.TrackerMOSSE_create 获取它。

我建议跟上 opencv GitHub 的步伐，因为某些函数/算法可能会移动或被删除。

原文由 Prayson W. Daniel 发布，翻译遵循 CC BY-SA 4.0 许可协议

Answer 2

如果您使用的是 OpenCV 4 或更高版本，则上述代码可能无法运行。

if int(minor_ver) < 3: OpenCV 4 的换行符

您只需要为此实验安装 opencv contrib

我的虚拟环境包含

pip install -r requirements.txt

要求.txt

 dlib==19.19.0
imutils==0.5.3
numpy==1.18.4
opencv-contrib-python==4.2.0.34
scipy==1.4.1

修改代码，兼容OpenCV 4版本

追踪器.py

 import cv2
import sys

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

if __name__ == '__main__':

    # Set up tracker.
    # Instead of MIL, you can also use

    tracker_types = ['BOOSTING', 'MIL','KCF', 'TLD', 'MEDIANFLOW', 'CSRT', 'MOSSE']
    tracker_type = tracker_types[6]

    if int(major_ver) < 4 and int(minor_ver) < 3:
        tracker = cv2.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 == 'CSRT':
            tracker = cv2.TrackerCSRT_create()
        if tracker_type == 'MOSSE':
            tracker = cv2.TrackerMOSSE_create()

    # Read video
    video = cv2.VideoCapture(0)

    # Exit if video not opened.
    if not video.isOpened():
        print("Could not open video")
        sys.exit()

    # Read first frame.
    ok, frame = video.read()
    if not ok:
        print('Cannot read video file')
        sys.exit()

    # Define an initial bounding box
    bbox = (287, 23, 86, 320)

    # Uncomment the line below to select a different bounding box
    bbox = cv2.selectROI(frame, False)

    # Initialize tracker with first frame and bounding box
    ok = tracker.init(frame, bbox)

    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, tracker_type + " 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

原文由 ajayramesh 发布，翻译遵循 CC BY-SA 4.0 许可协议