🔒 OpenCV Mask Processing

[ember ibex]

I did this kind of image cropping from mask

  mask = masks[0]
  mask_uint8 = (mask * 255).astype(np.uint8)

  #Morphology operations (Optional but recommended)
  kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (3, 3))
  mask_opened = cv2.morphologyEx(mask_uint8, cv2.MORPH_OPEN, kernel)

  #Gaussian blur (Optional, adjust parameters as needed)
  mask_blurred = cv2.GaussianBlur(mask_opened, (5, 5), sigmaX=2, sigmaY=2, borderType=cv2.BORDER_DEFAULT)
  mask_binary = cv2.threshold(mask_blurred, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)

  # Ensure correct data type (important after thresholding)
  mask_binary = mask_binary.astype(np.uint8)

but why the cropping result still comes with a jagged pixel edge? anybody knows the root cause or solution that i could try?

[icy dagger]

Hey @ember ibex!

Please edit your message to use a code block

Add a py after the three backticks.

```py
print('Hello, world!')
```

This will result in the following:

print('Hello, world!')```

[icy dagger]

@ember ibex

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[icy dagger]

@ember ibex

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