我已经尝试运行此代码,但得到一个属性错误。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'
6条答案
按热度按时间7tofc5zh1#
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在3.4中可用
OpenCV软件包:
opencv-python
:此存储库包含OpenCV库的主要模块。opencv-contrib-python
:opencv-contrib-python存储库包含主模块沿着contrib模块python -m pip install opencv-contrib-python
,检查一下你是否有3.4+,与pip show opencv
。有关详细信息,请参见how to install opencv
更新
正如@user48956所指出的,
opencv v 4.5.x
已经将其中的一些算法转移到了cv2.legacy
中,例如,要访问TrackerMOSSE_create
函数,你必须从cv2.legacy.TrackerMOSSE_create
中获得它。我建议继续使用opencv GitHub,因为一些函数/算法可能会移动或删除。
qkf9rpyu2#
如果您使用的是OpenCV 4或更高版本,则上述代码可能无法正常工作。
if int(minor_ver) < 3:
用于OpenCV 4的换行符对于此实验,您只需要安装opencv contrib
我的虚拟环境包含
pip install -r requirements.txt
要求. txt
修改代码,兼容OpenCV 4版本
tracker.py 例如
ghg1uchk3#
至少用于:
您需要替换:
和...
hs1rzwqc4#
我收到以下错误:
tracker = cv2.TrackerMOSSE.create()
甚至以为我已经安装了:开放式控件-Python
我可以使用以下代码来修复错误:
tracker = cv2.legacy_TrackerMOSSE.create()
zf9nrax15#
我的Python版本是3.7,它似乎没有忽略下面的代码。
我只是简单地删除它和模块运行。
这是一个无关但希望有用的建议。在上面代码的末尾,我添加了一个'destroyAllWindows()命令,它可以清理查看器:
0yg35tkg6#
只需安装以下组件。
这里通过使用CSRT跟踪器。