ATEEZ's report label is planning to take authorized motion after revealing that followers of the K-pop band placed a tracking device on its tour bus. Some devotees of the South Korean boy band have been accused of stepping over the line of their makes an attempt to get near its eight members-Kim Hong-joong, Park Seong-hwa, Jeong Yun-ho, Kang Yeo-sang, Choi San, Song Min-gi, iTagPro reviews Jung Woo-young and Choi Jong-ho. In addition, ItagPro despite the restraints from the staff members, actions comparable to intruding on non-public areas and following the artist on unofficial schedules just for ItagPro personal interest have precipitated interruption in work and psychological suffering of the artists. It gave us a variety of time to think about our album before it was launched, and to put more into it," Hong-joong instructed British Vogue in an interview published 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, iTagPro online saved fans entertained on the top of the pandemic with iTagPro online live shows and video meet and greets.

Object detection is widely used in robot navigation, intelligent video surveillance, industrial inspection, aerospace and lots of other fields. It is an important department of picture processing and computer imaginative and prescient disciplines, and can be the core part of intelligent surveillance methods. At the same time, iTagPro online goal detection can also be a primary algorithm in the sector ItagPro of pan-identification, which plays a vital role in subsequent duties corresponding to 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 primary coordinate info of every detection goal, the above method It additionally includes: iTagPro online displaying the above N detection targets on a screen. The primary coordinate information corresponding to the i-th detection goal; acquiring the above-mentioned video frame; positioning within the above-mentioned video body in accordance with the primary coordinate data corresponding to the above-mentioned i-th detection goal, acquiring a partial image of the above-mentioned video frame, and figuring out the above-mentioned partial image is the i-th image above.

The expanded first coordinate information corresponding to the i-th detection target; the above-talked about first coordinate data corresponding to the i-th detection goal is used for positioning in the above-mentioned video frame, including: iTagPro official in response to the expanded first coordinate info corresponding to the i-th detection target The coordinate info locates within the above video frame. Performing object detection processing, if the i-th picture includes the i-th detection object, buying position information of the i-th detection object within the i-th picture to acquire the second coordinate information. The second detection module performs target detection processing on the jth picture to find out the second coordinate information of the jth detected target, iTagPro online where j is a constructive integer not larger than N and never equal to i. Target detection processing, acquiring multiple faces in the above video frame, and first coordinate data of each face; randomly acquiring goal faces from the above multiple faces, iTagPro online and intercepting partial images of the above video frame in line with the above first coordinate data ; performing target detection processing on the partial picture via the second detection module to acquire second coordinate info of the goal face; displaying the goal face based on the second coordinate data.

Display multiple faces in the above video body on the display screen. Determine the coordinate record according to the first coordinate information of every face above. The primary coordinate data corresponding to the target face; acquiring the video frame; and positioning in the video frame in keeping with the first coordinate information corresponding to the target face to acquire a partial image of the video body. The extended first coordinate info corresponding to the face; the above-talked about first coordinate data corresponding to the above-mentioned target face is used for positioning in the above-talked about video frame, including: based on the above-mentioned prolonged first coordinate data corresponding to the above-mentioned goal face. In the detection process, if the partial image includes the goal face, buying place information of the goal face in the partial image to obtain the second coordinate data. The second detection module performs goal detection processing on the partial image to find out the second coordinate information of the opposite goal face.