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Cassie Randolph Claims Colton Underwood Planted Tracking Device On Car

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작성자 Bennie
댓글 0건 조회 4회 작성일 25-10-04 10:16

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navigation-maps-ooty-location-thumbnail.jpg12:Forty seven PM PT -- TMZ's obtained the court docket docs in which Cassie claims Colton's been stalking and harassing her with unsettling text messages. She claims Colton also went as far as planting a tracking device taped to the bottom of the back bumper of her car to keep observe of her whereabouts. Cassie claims Colton's been exhibiting up uninvited to her L.A. Huntington Beach. She claims he takes obsessive walks to her condo complicated and loitered in the alley outside her bedroom window at her father or mother's Huntington Beach home at 2 AM. Cassie -- who says they broke up in mid-April -- goes on to claim a number of the harassing text messages included accusing her of hanging out together with her previous ex-boyfriend. She alleges Colton also despatched anonymous textual content messages to her and to himself pretending to even be a victim of the nameless stalker. Cassie claims Colton later admitted to sending the messages and planting the tracking device. In accordance with legal docs, obtained by TMZ, ItagPro Cassie filed Friday in Los Angeles. It's at the moment unclear what her allegations are towards him and if a decide has signed off on the order.



originalObject detection is extensively used in robot navigation, clever video surveillance, iTagPro smart tracker industrial inspection, ItagPro aerospace and plenty of different fields. It is a crucial department of image processing and laptop imaginative and prescient disciplines, and ItagPro can be the core a part of clever surveillance systems. At the same time, luggage tracking device goal detection can also be a basic algorithm in the sector of pan-identification, which plays a vital position in subsequent duties reminiscent of face recognition, gait recognition, crowd counting, and occasion segmentation. After the primary detection module performs goal detection processing on the video body to obtain the N detection targets within the video frame and the primary coordinate info of each detection goal, the above technique It additionally consists of: displaying the above N detection targets on a display screen. The first coordinate info corresponding to the i-th detection goal; obtaining the above-talked about video body; positioning in the above-talked about video frame in response to the first coordinate information corresponding to the above-mentioned i-th detection target, ItagPro obtaining a partial image of the above-talked about video body, and determining the above-talked about partial image is the i-th image above.



The expanded first coordinate data corresponding to the i-th detection goal; the above-talked about first coordinate data corresponding to the i-th detection goal is used for positioning within the above-mentioned video frame, together with: in response to the expanded first coordinate data corresponding to the i-th detection goal The coordinate data locates within the above video frame. Performing object detection processing, ItagPro if the i-th image contains the i-th detection object, iTagPro geofencing buying position information of the i-th detection object in the i-th picture to obtain the second coordinate data. The second detection module performs goal detection processing on the jth picture to determine the second coordinate info of the jth detected target, where j is a positive integer not better than N and never equal to i. Target detection processing, obtaining a number of faces within the above video body, portable tracking tag and first coordinate data of each face; randomly obtaining target faces from the above a number of faces, ItagPro and intercepting partial photographs of the above video frame according to the above first coordinate information ; performing goal detection processing on the partial image by way of the second detection module to acquire second coordinate info of the goal face; displaying the target face in accordance with the second coordinate information.



Display multiple faces within the above video body on the screen. Determine the coordinate record in keeping with the primary coordinate information of each face above. The first coordinate information corresponding to the target face; buying the video frame; and positioning in the video frame in accordance with the first coordinate information corresponding to the goal face to obtain a partial image of the video body. The extended first coordinate information corresponding to the face; the above-mentioned first coordinate info corresponding to the above-talked about target face is used for positioning within the above-mentioned video frame, including: based on the above-talked about extended first coordinate information corresponding to the above-mentioned goal face. In the detection process, if the partial picture contains the target face, ItagPro buying position info of the target face in the partial image to obtain the second coordinate information. The second detection module performs goal detection processing on the partial image to determine the second coordinate information of the opposite target face.



In: performing target detection processing on the video frame of the above-mentioned video through the above-talked about first detection module, obtaining a number of human faces within the above-mentioned video body, and the primary coordinate information of every human face; the local picture acquisition module is used to: from the above-talked about a number of The target face is randomly obtained from the private face, and the partial picture of the above-talked about video body is intercepted based on the above-talked about first coordinate info; the second detection module is used to: perform target detection processing on the above-mentioned partial picture by the above-mentioned second detection module, so as to acquire the above-mentioned The second coordinate information of the target face; a display module, configured to: show the goal face according to the second coordinate information. The goal tracking methodology described in the primary facet above could realize the target choice methodology described within the second facet when executed.

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