All-round fisheye image target detection method based on cascaded neural network
A target detection and fisheye image technology, applied in the field of computer vision, can solve problems such as target distortion and target detection difficulties, and achieve the effect of improving accuracy
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[0033]Such asfigure 2 As shown, the present invention discloses a method of detecting a fisheye image based on a cascading neural network, which will include a detailed description of the present invention.
[0034]This embodiment is based on fusion deformable convolution and deformable Cascade R-CNN target detection network, CASCADE R-CNN cascaded neural network, can filter the positive and negative sample threshold multiple times, increasing the accuracy of detection Deformed convolution and deformable pillation can be made based on the object shape, increase the perception of the field, self-learning offset, so that the target extraction and modeling is made.
[0035]The following is an example of the operation method of the annular surface-based nerve-optic micro-eye image target detection proposed by the present invention in detail in detail.
[0036]The method of this embodiment includes the following steps:
[0037](1) Constructing a fusion deformable convolution and deformable Cascade R...
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