Three-dimensional geographic information model rendering method and system based on generative adversarial network
A geographic information and 3D map technology, applied in biological neural network models, neural learning methods, 3D modeling, etc., can solve the problem of low rendering speed of 3D maps, and achieve the effect of improving rendering speed, rendering speed and expanding quantity.
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[0047] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the implementation manners in the present invention, all other implementation manners obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.
[0048] In the embodiment of the present invention, the rendering device uses a computer with CPU i7, memory 16G, and video memory 8G. The operating system uses Ubuntu 16.04. The machine learning platform uses Tensorflow2.0. map.
[0049] see figure 1 , the present invention proposes a three-dimensional geographic information model rendering method based on generative confrontation networks, the method comprising:
[0050] S1. The step of 3D model...
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