A method, device, device and storage medium for chart recognition
A recognition method and chart technology, applied in the field of image recognition, can solve the problems of low efficiency and low accuracy of chart recognition, and achieve the effect of rich data types, universality and robustness guarantee
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Embodiment 1
[0049] figure 1This is a flowchart of a method for identifying a chart provided in Embodiment 1 of the present invention. This embodiment is applicable to the case of recognizing graph data in text files of various formats. The graph recognizing method proposed in this embodiment can be executed by a graph recognizing device, and the graph recognizing device can be performed by software and / or hardware. Implementation can be configured in computer equipment, for example, computing equipment such as servers, personal computers, mobile terminals, etc., and the method specifically includes the following steps:
[0050] S110. Acquire a text file containing chart data.
[0051] In this embodiment, the chart data includes image data composed of tables, pure table data, etc., wherein the image data composed of tables may include a line graph class generated according to the table data, a bar graph class (eg Column charts, histograms, stacked column charts, etc.), column and bar cha...
Embodiment 2
[0104] figure 2 This is a structural block diagram of a chart recognition device provided in Embodiment 2 of the present invention, and the device can be implemented by software and / or hardware. The device includes: a data acquisition module 201, a format conversion module 202 and a chart identification module 203, wherein,
[0105] A data acquisition module 201, for acquiring a text file containing chart data;
[0106] a format conversion module 202, for converting the text file into a picture in a preset format;
[0107] The chart identification module 203 is used for inputting the picture into a chart positioning detector, and outputting a positioning result of the chart data in the picture; wherein, the chart positioning detector includes a sample chart by a preset neural network A sample dataset of data obtained from training.
[0108] In one embodiment of the present invention, the preset neural network is Yolov5s network or Yolov5l network or Yolov5m network or Yolo...
Embodiment 3
[0138] image 3 A schematic structural diagram of a computer device provided in Embodiment 3 of the present invention, such as image 3 As shown, the computer device includes a processor 300, a memory 310, an input device 320 and an output device 330; the number of processors 300 in the computer device may be one or more, image 3 Take a processor 300 as an example in the above; the processor 300, the memory 310, the input device 320 and the output device 330 in the computer equipment can be connected by a bus or other means, image 3 Take the connection through the bus as an example.
[0139] As a computer-readable storage medium, the memory 310 can be used to store software programs, computer-executable programs, and modules, such as program instructions / modules corresponding to the diagram recognition method in the embodiment of the present invention (for example, data acquisition in the diagram recognition device). module 201, format conversion module 202 and chart recog...
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Abstract
Description
Claims
Application Information
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