文字识别(OCR)目前在多个行业中得到了广泛应用,比如金融行业的单据识别输入,餐饮行业中的发票识别,
交通领域的车票识别,企业中各种表单识别,以及日常工作生活中常用的身份证,驾驶证,护照识别等等。
OCR(文字识别)是目前常用的一种AI能力。
图片旋转
文字识别(提供三个模型)
[INFO ] - Result image has been saved in: build/output/detect_result.png [INFO ] - [ class: "0", probability: 1.00000, bounds: [x=0.073, y=0.069, width=0.275, height=0.026] class: "0", probability: 1.00000, bounds: [x=0.652, y=0.158, width=0.222, height=0.040] class: "0", probability: 1.00000, bounds: [x=0.143, y=0.252, width=0.144, height=0.026] class: "0", probability: 1.00000, bounds: [x=0.628, y=0.328, width=0.168, height=0.026] class: "0", probability: 1.00000, bounds: [x=0.064, y=0.330, width=0.450, height=0.023] ]
[INFO ] - Result image has been saved in: build/output/detect_result_helper.png [INFO ] - [ class: "0 :1.0", probability: 1.00000, bounds: [x=0.073, y=0.069, width=0.275, height=0.026] class: "0 :1.0", probability: 1.00000, bounds: [x=0.652, y=0.158, width=0.222, height=0.040] class: "0 :1.0", probability: 1.00000, bounds: [x=0.143, y=0.252, width=0.144, height=0.026] class: "0 :1.0", probability: 1.00000, bounds: [x=0.628, y=0.328, width=0.168, height=0.026] class: "0 :1.0", probability: 1.00000, bounds: [x=0.064, y=0.330, width=0.450, height=0.023] ]
每调用一次rotateImg方法,会使图片逆时针旋转90度。
再使用本方法前,请调用上述方法使图片文字呈水平(0度)方向。
[INFO ] - [ class: "你", probability: -1.0e+00, bounds: [x=0.319, y=0.164, width=0.050, height=0.057] class: "永远都", probability: -1.0e+00, bounds: [x=0.329, y=0.349, width=0.206, height=0.044] class: "无法叫醒一个", probability: -1.0e+00, bounds: [x=0.328, y=0.526, width=0.461, height=0.044] class: "装睡的人", probability: -1.0e+00, bounds: [x=0.330, y=0.708, width=0.294, height=0.043] ]
[INFO ] - [ class: "Text", probability: 0.98750, bounds: [x=0.081, y=0.620, width=0.388, height=0.183] class: "Text", probability: 0.98698, bounds: [x=0.503, y=0.464, width=0.388, height=0.167] class: "Text", probability: 0.98333, bounds: [x=0.081, y=0.465, width=0.387, height=0.121] class: "Figure", probability: 0.97186, bounds: [x=0.074, y=0.091, width=0.815, height=0.304] class: "Table", probability: 0.96995, bounds: [x=0.506, y=0.712, width=0.382, height=0.143] ]
<html> <body> <table> <thead> <tr> <td>Methods</td> <td>R</td> <td>P</td> <td>F</td> <td>FPS</td> </tr> </thead> <tbody> <tr> <td>SegLink[26]</td> <td>70.0</td> <td>86.0</td> <td>770</td> <td>89</td> </tr> <tr> <td>PixelLink[4j</td> <td>73.2</td> <td>83.0</td> <td>77.8</td> <td></td> </tr> ... </tbody> </table> </body> </html>
输出图片效果如下:
生成excel效果如下:
http://www.aias.top/
https://github.com/mymagicpower/AIAS
https://gitee.com/mymagicpower/AIAS