Vehicle dense target detection method based on deep learning
A target detection and deep learning technology, applied in the field of vehicle dense target detection based on deep learning, can solve the problems that complex scenes cannot be detected, target characteristics are not considered, targets cannot be recognized normally, etc., to achieve automatic recognition and identification, Improve the detection ability and solve the effect of information loss
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[0043] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.
[0044] Such as figure 1 As shown, a vehicle dense target detection method based on deep learning includes the following steps:
[0045] S1. Construct and train a multi-scale dimensionality reduction convolutional feature extraction network;
[0046] S2. Extract the multi-scale dimensionality reduction feature map of the image to be detected through the trained multi-scale dimensionality reduction convolution feature extrac...
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