but won't multiple ocr's and crops use a lot of time?
On Wednesday, December 29, 2021 at 10:15:26 AM UTC-8 zdenop wrote:
> IMO if the text is always in the same area, cropping and OCR just that
> area will be faster.
>
> Zdenko
>
>
> st 29. 12. 2021 o 18:58 Cyrus Yip <cyrus...@gmail.com> napísal(a):
>
>> I played around a bit and replacing all colours except for text colour
>> and it works pretty well!
>>
>> The only thing is replacing colours with:
>> im = im.convert("RGB")
>> pixdata = im.load()
>> for y in range(im.height):
>> for x in range(im.width):
>> if pixdata[x, y] != (51, 51, 51):
>> pixdata[x, y] = (255, 255, 255)
>> is a bit slow. Do you know a better way to replace pixels in python? I
>> don't know if this is off topic.
>> On Wednesday, December 29, 2021 at 9:46:13 AM UTC-8 zdenop wrote:
>>
>>> If you properly crop text areas you get good output. E.g.
>>>
>>> [image: r_cropped.png]
>>>
>>> > tesseract r_cropped.png - --dpi 300
>>>
>>> Rascal Does Not Dream
>>> of Bunny Girl Senpai
>>>
>>> Zdenko
>>>
>>>
>>> st 29. 12. 2021 o 18:21 Cyrus Yip <cyrus...@gmail.com> napísal(a):
>>>
>>>> here is an example of an image i would like to use ocr on:
>>>> [image: drop8.png]
>>>> I would like the results to be like:
>>>> ["Naruto Uzumaki Naruto", "Mai Sakurajima Rascal Does Not Dream of
>>>> Bunny Girl Senpai", "Keqing Genshin Impact"]
>>>>
>>>> Right now I'm using
>>>> region1 = im.crop((0, 55, im.width, 110))
>>>> region2 = im.crop((0, 312, im.width, 360))
>>>> image = Image.new("RGB", (im.width, region1.height + region2.height +
>>>> 20))
>>>> image.paste(region1)
>>>> image.paste(region2, (0, region1.height + 20))
>>>> results = pytesseract.image_to_data(image,
>>>> output_type=pytesseract.Output.DICT)
>>>>
>>>>
>>>> the processed image looks like
>>>> [image: hi.png]
>>>> but getting results like:
>>>> [' ', '»MaiSakurajima¥RascalDoesNotDreamofBunnyGirlSenpai',
>>>> 'iGenshinImpact']
>>>>
>>>> How do I optimize the image/configs so the ocr is more accurate?
>>>>
>>>> Thank you.
>>>>
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