Intelligent image chart synthesis method based on graph convolutional network
A convolutional network and synthesis method technology, applied in the field of automated graphic design, can solve problems such as dependence, low work efficiency, time-consuming and labor-intensive collection and labeling of high-quality data sets, achieve reasonable positions, avoid overlapping of salient areas, Effects of Augmented Reality Visualization
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[0046] See attached figure 2 , the present invention carries out the intelligent synthesis of image chart according to the following steps:
[0047] Step 1: Input an image I of size H×W c , the type T of the visualization graph v and the corresponding data D v . Among them, image I c is an H×W matrix of pixel values, that is, I c The number of pixels per column is H, and the number of pixels per row is W; the chart type T v Including common visual charts such as line charts, bar charts, and pie charts; data D v in JSON format.
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