ATEEZ's report label is planning to take authorized motion after revealing that followers of the K-pop band positioned a tracking device on its tour bus. Some devotees of the South Korean boy band have been accused of stepping over the line in their attempts to get close to its eight members-Kim Hong-joong, Park Seong-hwa, Jeong Yun-ho, Kang Yeo-sang, Choi San, Song Min-gi, Jung Woo-young and Choi Jong-ho. As well as, regardless of the restraints from the workers members, actions reminiscent of intruding on non-public areas and iTagPro features following the artist on unofficial schedules just for private interest have triggered interruption in work and psychological suffering of the artists. It gave us a whole lot of time to think about our album earlier than it was launched, and to put more into it," Hong-joong advised British Vogue in an interview revealed in August 2020. "That break was good and unhealthy at the identical time. The band, whose Instagram account has greater than 5.Three million followers, saved fans entertained on the height of the pandemic with online live shows and video meet and greets.

Object detection is broadly utilized in robot navigation, intelligent video surveillance, industrial inspection, aerospace and iTagPro support lots of other fields. It is a vital department of picture processing and ItagPro laptop vision disciplines, and can also be the core a part of clever surveillance methods. At the identical time, goal detection can be a primary algorithm in the field of pan-identification, which plays an important position in subsequent tasks such as face recognition, gait recognition, crowd counting, and occasion segmentation. After the primary detection module performs goal detection processing on the video frame to obtain the N detection targets within the video frame and the first coordinate info of each detection target, the above technique It additionally includes: displaying the above N detection targets on a display. The primary coordinate data corresponding to the i-th detection goal; acquiring the above-mentioned video body; positioning in the above-mentioned video body in accordance with the first coordinate information corresponding to the above-mentioned i-th detection goal, iTagPro features obtaining a partial picture of the above-talked about video body, and determining the above-talked about partial picture is the i-th image above.

The expanded first coordinate information corresponding to the i-th detection target; the above-mentioned first coordinate data corresponding to the i-th detection target is used for iTagPro key finder positioning within the above-mentioned video frame, together with: ItagPro in line with the expanded first coordinate info corresponding to the i-th detection target The coordinate information locates within the above video frame. Performing object detection processing, if the i-th image consists of the i-th detection object, iTagPro features buying place data of the i-th detection object within the i-th picture to obtain the second coordinate info. The second detection module performs goal detection processing on the jth picture to determine the second coordinate data of the jth detected goal, the place j is a positive integer not larger than N and not equal to i. Target detection processing, acquiring multiple faces within the above video frame, and iTagPro features first coordinate information of each face; randomly obtaining goal faces from the above a number of faces, and intercepting partial photos of the above video frame in keeping with the above first coordinate information ; performing goal detection processing on the partial image through the second detection module to acquire second coordinate info of the target face; displaying the goal face according to the second coordinate info.

Display a number of faces in the above video body on the screen. Determine the coordinate record in keeping with the primary coordinate data of every face above. The primary coordinate info corresponding to the goal face; acquiring the video frame; and iTagPro features positioning in the video frame according to the primary coordinate info corresponding to the goal face to acquire a partial image of the video frame. The extended first coordinate data corresponding to the face; the above-talked about first coordinate data corresponding to the above-mentioned target face is used for iTagPro tracker positioning in the above-talked about video body, including: in response to the above-talked about prolonged first coordinate info corresponding to the above-talked about goal face. In the detection process, iTagPro features if the partial picture includes the target face, acquiring position data of the goal face within the partial picture to acquire the second coordinate data. The second detection module performs goal detection processing on the partial picture to determine the second coordinate data of the other target face.