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Object detection is broadly used in robot navigation, intelligent video surveillance, industrial inspection, aerospace and lots of other fields. It is a vital branch of picture processing and pc imaginative and prescient disciplines, and iTagPro geofencing can be the core part of clever surveillance systems. At the identical time, target detection is also a fundamental algorithm in the sector of pan-identification, which performs a significant function in subsequent tasks similar to face recognition, gait recognition, crowd counting, and instance segmentation. After the primary detection module performs goal detection processing on the video frame to obtain the N detection targets in the video frame and the primary coordinate data of every detection target, ItagPro the above technique It also consists of: displaying the above N detection targets on a display. The primary coordinate info corresponding to the i-th detection target; obtaining the above-mentioned video frame; positioning in the above-talked about video body based on the primary coordinate information corresponding to the above-talked about i-th detection target, obtaining a partial picture of the above-talked about video body, iTagPro geofencing and 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 target; the above-talked about first coordinate information corresponding to the i-th detection goal is used for positioning in the above-talked about video body, including: based on the expanded first coordinate data corresponding to the i-th detection target The coordinate information locates within the above video body. Performing object detection processing, if the i-th image includes the i-th detection object, buying place info of the i-th detection object in the i-th image to obtain the second coordinate info. 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 constructive integer not larger than N and not equal to i. Target detection processing, acquiring multiple faces within the above video frame, and iTagPro geofencing first coordinate information of each face; randomly obtaining goal faces from the above multiple faces, and intercepting partial photos of the above video frame according to the above first coordinate info ; performing target detection processing on the partial picture via the second detection module to acquire second coordinate info of the target face; displaying the target face in line with the second coordinate info.