Pytesseract太慢了.如何使它更快地处理图像? [英] Pytesseract is too slow. How can I make it process images faster?

问题描述

我在以下代码中使用pytesseract:

I am using pytesseract in the below code:

    def fnd():
    for fname in list:
        x = None
        x = np.array([np.array(PIL.Image.open(fname))])
        print x.size
        for im in x:
                     txt = pytesseract.image_to_string(image=im).encode('utf-8').strip()
                     open("Output.txt","a+").write(txt)
                     with open("Output.txt") as openfile:                        
                         for line in openfile:
                             for part in line.split():
                                 if "cyber" in part.lower():
                                     print(line)
                                     return

该列表包含来自文件夹的图像的名称(2408 * 3506和300 res灰度).不幸的是，对于大约35张图像，总处理时间约为1400-1500秒.

The list contains names of images from a folder (2408*3506 & 300 res Gray-scaled). Unfortunately for around 35 images the total processing time is around 1400-1500 seconds.

有没有一种方法可以减少处理时间?

Is there a way I can reduce the processing time?

推荐答案

Pytesseract写入和读取传递给它的每个图像.当运行35张图像时，这是不必要的.相反，您应该使用 python tesseract API接口.这样会更快.

Pytesseract writes and reads every image you pass it. This is unnecessary when running 35 images. Instead, you should use a python tesseract API interface. This will be significantly faster.

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