ui: fix crash of live cam on arch-linux

[binarytrails]

Ensure the dimensions are valid before attempting the resize operation

Summary by Sourcery

Bug Fixes:

• Avoid crashes when fitting images by skipping resize if width or height are non-positive or non-integer, or if the image has zero dimensions.

[sourcery-ai]

Reviewer's guide (collapsed on small PRs)

Reviewer's Guide

Adds robust validation of target and computed dimensions in fit_image_to_size to prevent invalid resize operations (e.g., zero or negative sizes) that can crash the live cam on some systems.

File-Level Changes

Change	Details	Files
Harden image resizing logic to guard against invalid input and computed dimensions before calling cv2.resize.	Return the original image if width or height are not integers or are non-positive values. Return the original image if the source image has zero height or width. After computing the scaled size, verify both dimensions are positive before resizing, otherwise return the original image.	modules/ui.py

Possibly linked issues

• #failed when use cam live on laptop: PR adds dimension checks in fit_image_to_size to avoid invalid OpenCV resize causing the Arch Linux live cam crash.

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[sourcery-ai]

Hey there - I've reviewed your changes and they look great!

Prompt for AI Agents

Please address the comments from this code review:

## Individual Comments

### Comment 1
<location> `modules/ui.py:769` </location>
<code_context>
 def fit_image_to_size(image, width: int, height: int):
     if width is None and height is None:
         return image
+    if not isinstance(width, int) or not isinstance(height, int) or width <= 0 or height <= 0:
+        return image
     h, w, _ = image.shape
</code_context>

<issue_to_address>
**suggestion:** The strict `int` type check may reject valid numeric types (e.g., NumPy integer scalars).

This check will be `False` for types like `numpy.int32`, so calls with common integer-like dimensions will unexpectedly return the original image. Consider using `numbers.Integral` (or a similar numeric protocol) instead of `int`, or relying on the `<= 0` guard and handling any type errors at the resize call, so valid integer-like widths/heights are accepted.

Suggested implementation:

```python
def fit_image_to_size(image, width: int, height: int):
    if width is None and height is None:
        return image
    if not isinstance(width, numbers.Integral) or not isinstance(height, numbers.Integral) or width <= 0 or height <= 0:
        return image

```

Add `import numbers` (or `from numbers import Integral` and adjust the checks accordingly) near the top of `modules/ui.py`, alongside the other imports:

- Option 1:
  - `import numbers`
  - keep `isinstance(width, numbers.Integral)` / `isinstance(height, numbers.Integral)`

- Option 2:
  - `from numbers import Integral`
  - change the checks to `isinstance(width, Integral)` / `isinstance(height, Integral)`
</issue_to_address>

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