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Object detection is broadly utilized in robot navigation, clever video surveillance, iTagPro website industrial inspection, aerospace and iTagPro website many different fields. It is an important department of picture processing and pc imaginative and prescient disciplines, and can be the core a part of clever surveillance methods. At the identical time, goal detection can also be a fundamental algorithm in the field of pan-identification, which plays an important position in subsequent tasks reminiscent of face recognition, gait recognition, crowd counting, and occasion segmentation. After the first detection module performs target detection processing on the video frame to obtain the N detection targets in the video body and ItagPro the primary coordinate data of every detection target, the above methodology It additionally contains: displaying the above N detection targets on a display screen. The primary coordinate information corresponding to the i-th detection goal; obtaining the above-mentioned video frame; positioning within the above-talked about video frame in keeping with the primary coordinate data corresponding to the above-mentioned i-th detection goal, iTagPro website acquiring a partial picture of the above-mentioned video frame, and figuring out the above-mentioned partial image is the i-th image above.

The expanded first coordinate info corresponding to the i-th detection goal; the above-mentioned first coordinate data corresponding to the i-th detection target is used for positioning within the above-mentioned video body, including: in response to the expanded first coordinate information corresponding to the i-th detection target The coordinate information locates within the above video body. Performing object detection processing, if the i-th picture includes the i-th detection object, buying position data of the i-th detection object in the i-th image to acquire the second coordinate info. The second detection module performs goal detection processing on the jth image to find out the second coordinate info of the jth detected goal, where j is a constructive integer not better than N and not equal to i. Target detection processing, acquiring multiple faces in the above video body, and first coordinate info of each face; randomly acquiring target faces from the above a number of faces, ItagPro and intercepting partial photos of the above video body in accordance with the above first coordinate info ; performing goal detection processing on the partial picture by the second detection module to obtain second coordinate data of the goal face; displaying the target face in line with the second coordinate data.