本文整理汇总了Python中cv2.TrackerCSRT_create方法的典型用法代码示例。如果您正苦于以下问题：Python cv2.TrackerCSRT_create方法的具体用法？Python cv2.TrackerCSRT_create怎么用？Python cv2.TrackerCSRT_create使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类cv2的用法示例。
在下文中一共展示了cv2.TrackerCSRT_create方法的7个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: call_tracker_constructor
# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import TrackerCSRT_create [as 别名]
def call_tracker_constructor(self, tracker_type):
# -- TODO: remove this if I assume OpenCV version > 3.4.0
if int(self.major_ver == 3) and int(self.minor_ver) < 3:
tracker = cv2.Tracker_create(tracker_type)
# --
else:
if tracker_type == 'CSRT':
tracker = cv2.TrackerCSRT_create()
elif tracker_type == 'KCF':
tracker = cv2.TrackerKCF_create()
elif tracker_type == 'MOSSE':
tracker = cv2.TrackerMOSSE_create()
elif tracker_type == 'MIL':
tracker = cv2.TrackerMIL_create()
elif tracker_type == 'BOOSTING':
tracker = cv2.TrackerBoosting_create()
elif tracker_type == 'MEDIANFLOW':
tracker = cv2.TrackerMedianFlow_create()
elif tracker_type == 'TLD':
tracker = cv2.TrackerTLD_create()
elif tracker_type == 'GOTURN':
tracker = cv2.TrackerGOTURN_create()
return tracker 示例2: test_blob_update
# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import TrackerCSRT_create [as 别名]
def test_blob_update():
_bounding_box = [1, 1, 4, 4]
_type = 'car'
_confidence = 0.99
_tracker = cv2.TrackerKCF_create()
blob = Blob(_bounding_box, _type, _confidence, _tracker)
_new_bounding_box = [2, 2, 5, 5]
_new_type = 'bus'
_new_confidence = 0.35
_new_tracker = cv2.TrackerCSRT_create()
blob.update(_new_bounding_box, _new_type, _new_confidence, _new_tracker)
assert blob.bounding_box == _new_bounding_box
assert blob.type == _new_type
assert blob.type_confidence == _new_confidence
assert blob.tracker == _new_tracker 示例3: process
# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import TrackerCSRT_create [as 别名]
def process(self, image):
self.detected = False
self.__face_recognition.put_image(image)
original_image, coordonates = self.__face_recognition.get_result()
if original_image is not None:
x, y, x1, y1 = coordonates
if not hasattr(cv2, 'TrackerCSRT_create') or not callable(getattr(cv2, 'TrackerCSRT_create')):
self.circle_coordonates = self.__get_center_radius((x, y, x1, y1))
self.detected = True
return
self.__tracker = cv2.TrackerCSRT_create()
self.__tracker.init(original_image, (x, y, (x1 - x), abs(y1 - y)))
return
if self.__tracker is None:
return
(success, box) = self.__tracker.update(image)
if success:
(x, y, w, h) = [int(v) for v in box]
self.circle_coordonates = self.__get_center_radius((x, y, x + w, y + h))
self.detected = True 示例4: predictionCallback
# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import TrackerCSRT_create [as 别名]
def predictionCallback(self, client, userdata, message):
print('<< predictionCallback() >>')
data = json.loads(message.payload.decode())
if len(data['prediction']) > 0 and data['prediction'][0][0] > -1:
self.last_confidence = round(data['prediction'][0][2]*100,2)
self.last_detected_class = int(data['prediction'][0][0])
x1 = data['prediction'][0][2]*self.IMAGE_WIDTH
y1 = data['prediction'][0][3]*self.IMAGE_HEIGHT
x2 = data['prediction'][0][4]*self.IMAGE_WIDTH
y2 = data['prediction'][0][5]*self.IMAGE_HEIGHT
w = x2-x1
h = y2-y1
print("({},{},{},{})".format(x1,x2,y1,y2))
print("({},{})".format(w,h))
self.initBB = (int(x1), int(y1), int(w), int(h))
# self.tracker = cv2.TrackerMOSSE_create()
# self.tracker = cv2.TrackerKCF_create()
self.tracker = cv2.TrackerCSRT_create()
self.tracker.init(self.inferenceFrame, self.initBB)
self.trackerInitialized = True 示例5: call_tracker_constructor
# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import TrackerCSRT_create [as 别名]
def call_tracker_constructor(self, tracker_type):
if tracker_type == 'DASIAMRPN':
tracker = dasiamrpn()
else:
# -- TODO: remove this if I assume OpenCV version > 3.4.0
if int(self.major_ver == 3) and int(self.minor_ver) < 3:
#tracker = cv2.Tracker_create(tracker_type)
pass
# --
else:
try:
tracker = cv2.TrackerKCF_create()
except AttributeError as error:
print(error)
print('\nMake sure that OpenCV contribute is installed: opencv-contrib-python\n')
if tracker_type == 'CSRT':
tracker = cv2.TrackerCSRT_create()
elif tracker_type == 'KCF':
tracker = cv2.TrackerKCF_create()
elif tracker_type == 'MOSSE':
tracker = cv2.TrackerMOSSE_create()
elif tracker_type == 'MIL':
tracker = cv2.TrackerMIL_create()
elif tracker_type == 'BOOSTING':
tracker = cv2.TrackerBoosting_create()
elif tracker_type == 'MEDIANFLOW':
tracker = cv2.TrackerMedianFlow_create()
elif tracker_type == 'TLD':
tracker = cv2.TrackerTLD_create()
elif tracker_type == 'GOTURN':
tracker = cv2.TrackerGOTURN_create()
return tracker 示例6: init
# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import TrackerCSRT_create [as 别名]
def init(self, first_frame, bbox):
if self.name == 'KCF':
self.tracker = cv2.TrackerKCF_create()
elif self.name == 'MOSSE':
self.tracker = cv2.TrackerMOSSE_create()
elif self.name == 'CSRDCF':
self.tracker = cv2.TrackerCSRT_create()
else:
raise NotImplementedError
self.tracker.init(first_frame, bbox) 示例7: _csrt_create
# 需要导入模块: import cv2 [as 别名]
# 或者: from cv2 import TrackerCSRT_create [as 别名]
def _csrt_create(bounding_box, frame):
'''
Create an OpenCV CSRT Tracker object.
'''
tracker = cv2.TrackerCSRT_create()
tracker.init(frame, tuple(bounding_box))
return tracker