Python cv2.TrackerCSRT_create() Examples

The following are 7 code examples of cv2.TrackerCSRT_create(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module cv2 , or try the search function .
Example #1
Source File: test_blob.py    From ivy with MIT License 7 votes vote down vote up 
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
Example #2
Source File: tracker.py    From ivy with MIT License 6 votes vote down vote up 
def _csrt_create(bounding_box, frame):
    '''
    Create an OpenCV CSRT Tracker object.
    '''
    tracker = cv2.TrackerCSRT_create()
    tracker.init(frame, tuple(bounding_box))
    return tracker
Example #3
Source File: SpecificFaceDetector.py    From robot-camera-platform with GNU General Public License v3.0 6 votes vote down vote up 
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
Example #4
Source File: ground-control.py    From aws-builders-fair-projects with Apache License 2.0 6 votes vote down vote up 
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
Example #5
Source File: main_auto.py    From OpenLabeling with Apache License 2.0 5 votes vote down vote up 
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
Example #6
Source File: opencv_cftracker.py    From pyCFTrackers with MIT License 5 votes vote down vote up 
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)
Example #7
Source File: main.py    From OpenLabeling with Apache License 2.0 4 votes vote down vote up 
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