Target detection method and device, nonvolatile storage medium and electronic equipment
A target detection and target technology, applied in instruments, character and pattern recognition, computer parts and other directions, can solve problems such as low detection accuracy, and achieve the effect of solving low detection accuracy, improving detection accuracy, and enhancing detection accuracy.
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Embodiment 1
[0026] According to an embodiment of the present invention, an embodiment of a target detection method is provided. It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and, although In the flowcharts, a logical order is shown, but in some cases the steps shown or described may be performed in an order different from that shown or described herein.
[0027] figure 1 is a flowchart of a target detection method according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:
[0028] Step S102, acquiring multiple feature layers of the target detection model, wherein the multiple feature layers include: a first feature layer and a second feature layer, the semantic information of the first feature layer is less than the semantic information of the second feature layer ;
[0029] Step S104, performing f...
Embodiment 2
[0061] According to an embodiment of the present invention, an embodiment of a device for implementing the above target detection method is also provided, Figure 4 is a schematic structural diagram of a target detection device according to an embodiment of the present invention, such as Figure 4 As shown, the above target detection device includes: an acquisition module 400, a fusion processing module 402 and an update module 404, wherein:
[0062] The acquisition module 400 is configured to acquire multiple feature layers of the target detection model, wherein the multiple feature layers include: a first feature layer and a second feature layer, and the semantic information of the first feature layer is less than that of the second feature layer Semantic information; the fusion processing module 402 is used to fuse the above-mentioned first feature layer and the above-mentioned second feature layer in the above-mentioned multiple feature layers to obtain a target detection ...
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