OpenCV AttributeError 模块 'cv2.cv2' 没有属性 'Tracker_create'
OpenCV AttributeError module 'cv2.cv2' has no attribute 'Tracker_create'
我已尝试 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：
回溯（最后一次调用）：
文件 "C:\Users\Jatin\OpenCV-Object-Tracking\index.py"，第 15 行，位于
跟踪器 = cv2.cv2.Tracker_create(tracker_type)
AttributeError: 模块 'cv2.cv2' 没有属性 'Tracker_create'
这取决于OpenCV的包和你安装的版本。
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。您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 how to install 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 因为一些 functions/algorithms 可能会四处移动或被删除。
我的Python版本是3.7，好像没有忽略下面的代码。
if int(minor_ver) < 3:
tracker = cv2.cv2.Tracker_create(tracker_type)
我直接删了，模块就跑了。
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，用于清理查看器：
if k == 27:
cv2.destroyAllWindows()
break
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: line breaks for OpenCV 4
You need to install just opencv contrib for this experiment
我的虚拟环境包含
pip install -r requirements.txt
requirements.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
tracker.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
我收到以下错误：
tracker = cv2.TrackerMOSSE.create()
甚至以为我已经安装了：
opencv-contrib-python
我可以改用这个来修复错误：
tracker = cv2.legacy_TrackerMOSSE.create()
至少：
- opencv-contrib-python==4.5.2.52
您需要更换：
cv2.TrackerMOSSE_create()
与...
cv2.legacy.TrackerMOSSE_create()
我已尝试 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：
回溯（最后一次调用）： 文件 "C:\Users\Jatin\OpenCV-Object-Tracking\index.py"，第 15 行，位于 跟踪器 = cv2.cv2.Tracker_create(tracker_type) AttributeError: 模块 'cv2.cv2' 没有属性 'Tracker_create'
这取决于OpenCV的包和你安装的版本。
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。您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 how to install 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.
我建议跟上 opencv GitHub 因为一些 functions/algorithms 可能会四处移动或被删除。
我的Python版本是3.7，好像没有忽略下面的代码。
if int(minor_ver) < 3:
tracker = cv2.cv2.Tracker_create(tracker_type)
我直接删了，模块就跑了。
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，用于清理查看器：
if k == 27:
cv2.destroyAllWindows()
break
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:line breaks for OpenCV 4You need to install just opencv contrib for this experiment
我的虚拟环境包含
pip install -r requirements.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
tracker.pyimport 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
我收到以下错误：
tracker = cv2.TrackerMOSSE.create()
甚至以为我已经安装了： opencv-contrib-python
我可以改用这个来修复错误：
tracker = cv2.legacy_TrackerMOSSE.create()
至少：
- opencv-contrib-python==4.5.2.52
您需要更换：
cv2.TrackerMOSSE_create()
与...
cv2.legacy.TrackerMOSSE_create()