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 Post subject: Re: screen scraping
PostPosted: Wed Aug 15, 2018 10:13 pm 
Senior Member
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Joined: Sun Mar 10, 2013 10:31 am
Posts: 100
Jannus wrote:
(so 0.15 * src1-width * src1-height)

No! You measure differens binary yet. Yes or No. It is wrong way. If your image greyscale fore example, each point 0-255 value;
So average differense is Summ(ABS(Point(image) - Point(template))) / template.rows / template.cols;
For RGB image Differense is average for 3 chanels (but you have not use it, I use it once and want rewrite this stupid code )
And then you can compare your average difference with any number. 0.15 or somthing else.
0.15 - is wery BAD! If your image compare with template average difference = 0.15 - you use wery bad filters! 0.05 - is good value.
For example you have "6" image. With your not good filters it compare with "6" = 0.15; with "0" = 0.18; with "8" = 0.18;
It situation = age of working; Shoud be with GOOD filters : with "6" = 0.05; with "0" = 0.30; with "8" = 0.30.
It is GOOD recognition;

 Post subject: Re: screen scraping
PostPosted: Tue Aug 28, 2018 9:23 am 
Junior Member

Joined: Thu Apr 05, 2018 2:57 pm
Posts: 23

Sorry i coulnt post sooner, but I had to help a friend with a construction job. Today is the first time i am working on the bot again.

I understand that greyscale is better. But i already have put a lot of work using binary. And i still have 100% accuracy. So i am just going on
using binary. If i run into problems, i will switch to grayscale.

The 15% (which was a random number) i dont use when recognizing numbers. I still use the best matching mask for that. But when i am looking for..lets say..a fold button...i look for a pattern and accept a certain error rate. As of now, i have again 100% accuracy recognizing buttons, etc. Speed (as you pointed out) is not the best. lol. But i am trying to get this scraping part done as soon as possible so I can test my AI bit..because if AI fails..everything fails.


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