|
Moose |
|
Don't make me assume my ultimate form!
|
|
|
|
|
|
Reged: 05/03/04
|
|
Posts: 1483
|
|
Loc: Outback, Australia
|
|
|
|
Send PM
|
|
|
> https://keras.io/
>
> And specifically, check out the OCR example here:
>
> https://github.com/fchollet/keras/tree/master/examples
If needed, I'll check this out. But, it sure seems like taking a sledgehammer to crack a nut ... 
I've added a GUI to my program - drag and drop an image, click "Process" and it produces a histogram. Scroll down through the histogram and look for a Step Change, select the threshold value accordingly, and click "Process" again, click the "Copy Bit[]" button, paste into SiprOn and do a final check and click "Submit".
Attached ZIP file includes a Java application and User Guide - which takes you through how to process easy images (which make up the vast majority) and hard images.
For most images, the entire process: Right click Save, drag and drop, Process, scroll down through histogram and check threshold value against the step change, copy, paste, click "Submit" takes about 10-15 seconds.
Processed about 75 images so far. Any errors made are due to me - a bug in an earlier version, and me interpreting a brighter region as a 1 or a duller region as a 0. Some are hard to pick. The histogram makes this a lot easier. But, in the SiprOn results so far, there's still one pixel that I still think is a 1 and other(s) think is a 0.
Anyway, someone might find this tool useful. Others may hate it. All I can do is try.
Update:
Here's a screen shot:
Moose
Edited by Moose (07/27/17 07:33 PM)
|
|
Index 
Flat 
Re: Monkey Revival
Reply
Re: Monkey Revival
