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I'm using EasyOCR to make very simple banknote recognition for uni project, using Python and OpenCV. If I understand correctly provided examples, code below:
```python
import cv2
import numpy as np…
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Hi, Congratulations to your great work, and thanks for making open-source!
I used the "DiffMa-B/2" and the "DiffMa/1000000.pt", I used some samples from the dataset you provided. However, the resul…
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### Describe the bug
I am encountering an inconsistency in the reported metrics between the validation and testing phases, despite using the same dataset (`val_split_mode=ValSplitMode.SAME_AS_TEST`).…
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The fiber and the matrix need to be separated in these images to create a clear contrast in the images. By separating the components the fiber direction and density can then be determined.
# A List o…
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figure out what sequence of filters we will run. Here is a list of all filters i will try:
- [ ] Brightness adjustments (histogram equalization). Specifically try CLAHE.
- [ ] Brightest pixel threshol…
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The tailcut cleaner could be modified in order to add pixels above the (low) boundary threshold if they continuously connect to a pixel above the (high) picture threshold, rather than only the first n…
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I'll find time to expand on the issue desc and provide minimal example to rep.
`RegionExtractor(["image1.nii", "image2.nii"], threshold=3.)`
Throws error:
```
ValueError: threshold given as ratio t…
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Hi, I want to implement binary thresholding based on distance. If the depth value of a pixel is between x and y, it should make it white, else make it black. Right now I am using a very crappy method …
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When i try to run this model.fit, now i am getting the following Error
model.fit(X_train, Y_train, batch_size= 10, epochs=3, verbose=1)
ValueError: Error when checking target: expected conv2d_6…
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I'm noticing there are quite a few hyperparameters that can vary drastically for the problem and dataset one would want to use. Can anyone provide any intuition or tips on which values to choose? Part…