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Object detection is widely used in robotic navigation, intelligent video surveillance, industrial inspection, aerospace and many other fields. It is an important branch of picture processing and pc imaginative and prescient disciplines, iTagPro reviews and can also be the core part of clever surveillance methods. At the identical time, goal detection is also a basic algorithm in the sector of pan-identification, which performs a significant role in subsequent tasks reminiscent of face recognition, gait recognition, crowd counting, and iTagPro portable instance segmentation. After the primary detection module performs goal detection processing on the video body to acquire the N detection targets within the video body and the primary coordinate information of each detection goal, the above methodology It also consists of: iTagPro reviews displaying the above N detection targets on a screen. The primary coordinate information corresponding to the i-th detection target; obtaining the above-talked about video frame; positioning within the above-talked about video frame in keeping with the first coordinate data corresponding to the above-mentioned i-th detection goal, obtaining a partial picture of the above-talked about video body, and figuring out the above-talked about partial image is the i-th picture above.
The expanded first coordinate info corresponding to the i-th detection target; the above-mentioned first coordinate information corresponding to the i-th detection target is used for positioning in the above-talked about video body, ItagPro including: iTagPro technology in line with the expanded first coordinate info corresponding to the i-th detection goal The coordinate data locates within the above video frame. Performing object detection processing, if the i-th picture contains the i-th detection object, iTagPro reviews buying place information of the i-th detection object in the i-th picture to obtain the second coordinate information. The second detection module performs goal detection processing on the jth picture to find out the second coordinate information of the jth detected target, where j is a optimistic integer not better than N and not equal to i. Target detection processing, obtaining a number of faces within the above video frame, and first coordinate information of every face; randomly acquiring target faces from the above a number of faces, and iTagPro reviews intercepting partial pictures of the above video body based on the above first coordinate information ; performing target detection processing on the partial image by way of the second detection module to acquire second coordinate data of the target face; displaying the goal face in line with the second coordinate info.
Display multiple faces in the above video frame on the screen. Determine the coordinate record in keeping with the first coordinate info of every face above. The primary coordinate information corresponding to the goal face; buying the video body; and positioning within the video frame in response to the primary coordinate data corresponding to the goal face to obtain a partial image of the video frame. The prolonged first coordinate information corresponding to the face; the above-mentioned first coordinate data corresponding to the above-mentioned goal face is used for positioning in the above-talked about video frame, including: in keeping with the above-mentioned extended first coordinate data corresponding to the above-mentioned target face. In the detection process, if the partial picture includes the goal face, buying place info of the target face within the partial image to acquire the second coordinate info. The second detection module performs goal detection processing on the partial image to determine the second coordinate data of the opposite goal face.