Has this Problem Been Fixed? > 자유게시판

• 목록
• 답변
• 글쓰기
• 게시판 리스트 옵션
  • 수정
  • 삭제

Has This Problem Been Fixed? Apple launched patches in December 2024 (iOS 18.2, visionOS 2.2, iPadOS 17.7.3, 18.2, watchOS 11.2, tvOS 18.2, macOS Ventura 13.7.2, macOS Sonoma 14.7.2, Sequoia 15.2) to fix this vulnerability. However, the attack remains effective as long as there are unpatched iPhones or Apple Watches close to the tracked gadget. Since many individuals don't replace their gadgets straight away, this vulnerability could stay exploitable for some time. How Can I Protect Myself? Install apps from trusted source. Be careful about what apps you set up, iTagPro shop solely download apps from trusted sources. Manage Bluetooth permission. Be cautious about giving Bluetooth permissions to apps that do not clearly want them. When not using Bluetooth, consider revoke purposes' Bluetooth permission. Install security patches. Keep your devices updated with the latest safety patches, scale back the danger of being attacked by identified vulnerabilities. Apple user can even help to guard others by updating their gadgets and lowering the weak Find My community protection.

Object detection is extensively utilized in robot navigation, clever video surveillance, industrial inspection, aerospace and lots of different fields. It is a crucial department of image processing and laptop imaginative and prescient disciplines, iTagPro shop and can be the core a part of intelligent surveillance programs. At the identical time, goal detection can be a basic algorithm in the sphere of pan-identification, which plays an important role in subsequent duties akin to face recognition, gait recognition, crowd counting, and instance segmentation. After the primary detection module performs target detection processing on the video frame to acquire the N detection targets in the video body and the first coordinate information of every detection goal, the above method It also contains: displaying the above N detection targets on a display. The primary coordinate info corresponding to the i-th detection goal; acquiring the above-talked about video frame; positioning within the above-talked about video frame in accordance with the first coordinate information corresponding to the above-mentioned i-th detection target, obtaining a partial picture of the above-talked about video frame, and iTagPro shop figuring out 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 information corresponding to the i-th detection goal is used for positioning within the above-mentioned video body, together with: iTagPro shop in response to the expanded first coordinate info corresponding to the i-th detection target The coordinate information locates in the above video body. Performing object detection processing, if the i-th picture includes the i-th detection object, acquiring place information of the i-th detection object in the i-th image to obtain the second coordinate information. The second detection module performs target detection processing on the jth picture to find out the second coordinate data of the jth detected target, where j is a positive integer not higher than N and never equal to i. Target detection processing, ItagPro acquiring a number of faces in the above video body, and first coordinate information of each face; randomly obtaining goal faces from the above a number of faces, ItagPro and intercepting partial pictures of the above video frame in accordance with the above first coordinate info ; performing goal detection processing on the partial image by way of the second detection module to acquire second coordinate information of the target face; displaying the target face based on the second coordinate info.

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

In: performing goal detection processing on the video frame of the above-talked about video by way of the above-talked about first detection module, acquiring multiple human faces within the above-talked about video body, and the primary coordinate data of every human face; the local picture acquisition module is used to: from the above-talked about a number of The goal face is randomly obtained from the private face, and the partial picture of the above-talked about video frame is intercepted in keeping with the above-mentioned first coordinate info; the second detection module is used to: carry out target detection processing on the above-talked about partial picture by the above-talked about second detection module, in order to obtain the above-talked about The second coordinate data of the goal face; a display module, configured to: show the goal face in keeping with the second coordinate information. The goal tracking methodology described in the primary facet above could notice the target choice methodology described within the second aspect when executed.