Target detection method and device and electronic system
A target detection and target object technology, applied in the field of image processing, can solve the problems of target detection interference and affect the accuracy of target detection, etc., to achieve the effect of weakening features, improving accuracy and reducing interference
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Embodiment 1
[0032] First, refer to figure 1 An example electronic system 100 for implementing the object detection method, device and electronic system of the embodiments of the present invention will be described.
[0033] Such as figure 1 A schematic structural diagram of an electronic system is shown, the electronic system 100 includes one or more processing devices 102, one or more storage devices 104, input devices 106, output devices 108, and may also include one or more image acquisition devices 110 , these components are interconnected via bus system 112 and / or other forms of connection mechanisms (not shown). It should be noted that figure 1 The components and structures of the electronic system 100 shown are exemplary rather than limiting, and the electronic system may also have other components and structures as required.
[0034] The processing device 102 may be a gateway, or an intelligent terminal, or a device including a central processing unit (CPU) or other forms of pr...
Embodiment 2
[0041] Embodiments of the present invention provide a target detection method, such as figure 2 As shown, the method includes the following steps:
[0042] Step S202, extracting image features of the image to be processed;
[0043] The image to be processed above usually refers to the image to be detected, which can be an image containing objects with variable shapes, large contour differences, or irregular shapes, such as debris piles (garbage piles, express piles, etc.), various Images of objects such as accumulations of objects (scattered piles of toys, books, etc.), irregularly placed objects (disorderly bicycles, etc.). The above-mentioned image features may refer to the high-dimensional feature data of the image to be processed, which usually includes detailed features of the image to be processed; specifically, the image to be processed (also called the original image) may be input to the feature extraction network, and the image to be processed is output. Process th...
Embodiment 3
[0053] The embodiment of the present invention also provides another target detection method, which is implemented on the basis of the above embodiments; this embodiment focuses on the specific steps of determining the image region containing the target object in the image to be processed based on image features Implementation mode (realized by steps S304-S306); as image 3 As shown, the method includes the following steps:
[0054] Step S302, extracting image features of the image to be processed;
[0055] Step S304, input the image features into the pre-trained area segmentation network, and output the area mask image; wherein, in the area mask image, the pixel value of the pixel position within the image area is the first pixel value; The pixel value of the pixel position outside is the second pixel value;
[0056] The above-mentioned pre-trained region segmentation network can identify the position information of the image region in the image feature, and the edge shape ...
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