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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