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
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。