Comments (3)
saurabhvyas
commented on June 14, 2024
Apparently, after preprocessing for some reason my images were still not in grey scale, or maybe I copied the wrong folder while training, anyway I can confirm code is working fine with data augmentation.
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da03
commented on June 14, 2024
Great thanks for reporting!
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Aliezliu
commented on June 14, 2024
I figure it out! The images in this project is in rgb scale, so it uses the function rgb2y to inverse it into grey scale. Maybe your images have been in grey scale, so you will encounter the rgb2y error.
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Related Issues (20)
- - HOT 1
- not working for below type of images (other than given by you). I think we need to put images in particular format HOT 8
- can anyone share the trained model file which is genralized on any type of image like mathpix HOT 3
- [Please Respond] Can you help me training the model for to recognize the out of given data image set HOT 1
- how to remove katex parser error HOT 1
- target vocab size HOT 5
- There is a bug in preprocess_latex.js HOT 3
- error importation cudnn HOT 20
- [regarding real dataset] Please respond HOT 18
- I am getting None with intermediate weights HOT 1
- UnicodeDecodeError: 'utf-8' codec can't decode byte 0xe7 in position 2270: invalid continuation byte HOT 7
- How to make code show predicted mathematical expression in latex format HOT 1
- can you explain about value 'Accuracy'?
- why downsample by 2 in preprocess HOT 2
- Why using lua instead of python? HOT 1
- can you explain src\modeel\cnn.lua
- Getting low accuracy using customized images for test. HOT 2
- 'perl' and 'cat' is not recognized
- Can you provide a vocab dictionary?
- The python version of the dataset resource is not working
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