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Object detection is extensively utilized in robotic navigation, clever video surveillance, industrial inspection, aerospace and many different fields. It is a crucial department of image processing and iTagPro official pc vision disciplines, and can also be the core part of intelligent surveillance systems. At the same time, target detection can be a basic algorithm in the sector of pan-identification, which plays a significant function in subsequent duties such as face recognition, gait recognition, iTagPro official crowd counting, and instance segmentation. After the first detection module performs goal detection processing on the video body to acquire the N detection targets within the video frame and the first coordinate information of each detection goal, the above methodology It also includes: displaying the above N detection targets on a display screen. The first coordinate information corresponding to the i-th detection goal; obtaining the above-talked about video body; positioning within the above-mentioned video body in accordance with the primary coordinate info corresponding to the above-talked about i-th detection target, obtaining a partial image of the above-mentioned video body, iTagPro official and figuring out the above-talked about partial image is the i-th picture above.

The expanded first coordinate information corresponding to the i-th detection target; the above-mentioned first coordinate data corresponding to the i-th detection target is used for positioning within the above-talked about video frame, together with: in keeping with the expanded first coordinate information corresponding to the i-th detection goal The coordinate info locates in the above video body. Performing object detection processing, if the i-th picture contains the i-th detection object, buying position info 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 picture to find out the second coordinate info of the jth detected goal, where j is a constructive integer not higher than N and never equal to i. Target detection processing, acquiring multiple faces within the above video frame, iTagPro official and first coordinate data of every face; randomly obtaining target faces from the above a number of faces, and intercepting partial pictures of the above video body in response to the above first coordinate information ; performing goal detection processing on the partial image by the second detection module to acquire second coordinate info of the target face; displaying the goal face in response to the second coordinate information.