Object detection method using feature image fusion
A target detection and feature map technology, applied in the field of computer vision, can solve the problems of low detection accuracy, computational redundancy, and low target detection accuracy, and achieve the effect of more robustness and high detection accuracy
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[0045] In order to make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of the embodiments of the present invention, not all the embodiments.
[0046] Such as figure 1 As shown, a target detection method using feature map fusion of the present invention includes the following steps:
[0047] Step S1: Use the ZF network to extract image features and obtain a feature map;
[0048] The step S1 includes the following steps:
[0049] Step S101: normalize the input image so that the size of the image is 224×224 pixels;
[0050] Step S102: Use the ZF network to extract the normalized image features and obtain a series of feature maps at different levels with different length × width × numbe...
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