Comments (3)
Breta01
commented on May 27, 2024
1
Hi,
It depends on what you want to train. The models right now are trained on
my handwriting (which is small database) with relatively small models. If
you want to create some production model you will have to use some larger
database like IAM. You will also need to increase parameters in neural
nets, so they will also take more processing power. In general you can
train almost on any computer, but stronger computers are better. Your RAM
should be fine. And I don't know number of your CPU cores. Also look if
your GPU is supported by TensorFlow, that can also speed up training.
Dne čt 26. 7. 2018 10:39 uživatel puppetmaster12 <[email protected]>
napsal:
… What is the recommended training specifications? How long would it take on
a CPU with 16GB of RAM, 3.5ghz?
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Breta01
commented on May 27, 2024
1
Actually I am not sure if the new way of normalization brings any benefits, so you can change the param to hystNorm=False or you can try increasing recursion limit. Even simpler approach is to set the function to:
def hystImageNorm(image):
img = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY)
img = cv2.bilateralFilter(img, 10, 15, 30)
img = 255 - cv2.normalize(img, None, 0, 255, cv2.NORM_MINMAX)
# img = cv2.threshold(img, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)[1]
return img
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puppetmaster12
commented on May 27, 2024
I tried using the IAM dataset preprocessing script in your repo. I got a recursion depth exceeded error at about 30%. Is it safe to increase the recursion limit or should i rewrite the algorithm in some way?
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Related Issues (20)
- Query: Punctuation Marks HOT 1
- Language HOT 3
- not giving output same as in your github ocr.ipynb ctc model HOT 9
- ValueError: zero-size array to reduction operation minimum which has no identity
- unimplementederror: tensor array has size zero, but element shape [?,256] is not fully defined. currently only static shapes are supported when packing zero-size tensorarray
- File models/gap-clas/CNN-CG.meta does not exist.
- No Function : imageNorm ? HOT 1
- 'TrainingPlot' object has no attribute 'updateCost' HOT 2
- Tensor shape error / not training my images HOT 1
- handwriting-ocr/word_classifier_CTC.ipynb question
- ModuleNotFoundError: No module named 'ocr'
- ValueError: too many values to unpack (expected 2) HOT 5
- training time
- How much time it takes for training i am waiting for 2 hours and what is value of LOSS_ITER and also can you check the train.csv, dev.csv, test.csv i have generated are good to use or have some error?
- What does this code doing and how can i visualize it's output. HOT 1
- ValueError: Cannot feed value of shape (13, 1, 3600) for Tensor 'inputs:0', which has shape '(None, 64, None, 1)'
- Javascript implementation HOT 1
- File does not exist. Received: F:\MY_PROJECT\handwriting-ocr-master\src\ocr\../../models/gap-clas/CNN-CG.meta. HOT 1
- Request for resources
- field to access
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