fix: resolve #128

[venturevd]

Summary

Automated fix for #128

Changes

Modified files: src/entry.py

Test Results

All existing tests pass after this change.

---

This PR was generated by Agora Farm, an autonomous software engineering system. Please review carefully and provide feedback.

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Review Summary by Qodo

Fix OMR image loading to preserve color for display

🐞 Bug fix

Walkthroughs

Description

• Load OMR images in color mode instead of grayscale
• Preserve original colored image for display purposes
• Convert to grayscale separately for processing pipeline
• Update all processing calls to use grayscale variable

Diagram

flowchart LR
  A["Load image in COLOR mode"] --> B["Store original colored copy"]
  B --> C["Convert to grayscale for processing"]
  C --> D["Pass grayscale to processors"]
  D --> E["Use colored image for display"]

Loading

File Changes

1. src/entry.py 🐞 Bug fix +11/-5

Separate color and grayscale image handling

• Changed image loading from cv2.IMREAD_GRAYSCALE to cv2.IMREAD_COLOR
• Added preservation of original colored image as original_colored_image
• Created separate in_omr_gray variable for grayscale processing
• Updated all downstream processing calls to use in_omr_gray instead of in_omr

src/entry.py

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Code Review by Qodo

🐞 Bugs (2) 📘 Rule violations (0) 📎 Requirement gaps (1) 🎨 UX Issues (0)

1. original_colored_image unused for previews 📎 Requirement gap ≡ Correctness

Description

A colored copy of the input image is created but never used for any debug/preview/display outputs;
instead, the code continues to save/process/display grayscale-derived images. This fails the
requirement that debug/preview outputs use the colored copy while keeping grayscale for computation.

Code

src/entry.py[R219-228]

+        in_omr = cv2.imread(str(file_path), cv2.IMREAD_COLOR)
+        
+        # Store the original colored image for display purposes
+        original_colored_image = in_omr.copy()
+        
+        # Convert to grayscale for processing
+        in_omr_gray = cv2.cvtColor(in_omr, cv2.COLOR_BGR2GRAY)

        logger.info("")
        logger.info(

Evidence

PR Compliance ID 1 requires retaining a colored copy and using it for all debug/preview/show
outputs. In process_files, the new original_colored_image is created but subsequent saved images
and downstream processing use in_omr_gray, and the display utility interface shown does not accept
an additional colored image argument.

Preserve and display colored debug/preview output images while processing in grayscale
src/entry.py[219-237]
src/utils/interaction.py[26-45]

Agent prompt

The issue below was found during a code review. Follow the provided context and guidance below and implement a solution

## Issue description
`process_files()` now reads images in color and creates `original_colored_image`, but all debug/preview outputs still rely on grayscale-derived images (`in_omr_gray` / outputs created from it). This does not satisfy the requirement that debug/preview/show outputs use the colored copy while grayscale remains the processing image.

## Issue Context
- A colored copy is created (`original_colored_image = in_omr.copy()`) but is not passed to any save/show paths.
- `InteractionUtils.show()` currently only accepts a single image argument, so it cannot display a separate colored image unless its API is extended or the caller provides a colored composite.

## Fix Focus Areas
- src/entry.py[219-237]
- src/utils/interaction.py[26-45]

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools

---

2. Missing imread None guard 🐞 Bug ☼ Reliability

Description

process_files calls in_omr.copy(), cvtColor, and logs in_omr.shape before verifying that cv2.imread
succeeded, so an unreadable/corrupt image will crash the run. The existing None-handling block is
reached too late to prevent these failures.

Code

src/entry.py[R219-228]

+        in_omr = cv2.imread(str(file_path), cv2.IMREAD_COLOR)
+        
+        # Store the original colored image for display purposes
+        original_colored_image = in_omr.copy()
+        
+        # Convert to grayscale for processing
+        in_omr_gray = cv2.cvtColor(in_omr, cv2.COLOR_BGR2GRAY)

        logger.info("")
        logger.info(

Evidence

The PR now performs copy/cvtColor/shape access immediately after imread. If imread returns None,
both .copy() and .shape will raise, and cvtColor will error, preventing the later
error-handling/continue block from running.

src/entry.py[219-230]
src/core.py[32-44]

Agent prompt

The issue below was found during a code review. Follow the provided context and guidance below and implement a solution

## Issue description
`process_files()` uses the result of `cv2.imread()` immediately (`.copy()`, `cvtColor`, `.shape`) without guarding against `None`, which will crash on unreadable/corrupt files.

## Issue Context
`cv2.imread()` may return `None`. The current error-handling block runs after preprocessing, but the crash occurs before reaching it.

## Fix Focus Areas
- src/entry.py[219-230]

## Suggested change
1. Check `if in_omr is None:` immediately after `cv2.imread(...)`.
2. In that branch, reuse the existing error-file handling logic (move it up or factor into a helper) and `continue`.
3. Only then do `in_omr.copy()`, `cv2.cvtColor(...)`, and the resolution log.

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools

---

3. Wrong variable None-check 🐞 Bug ≡ Correctness

Description

After preprocessing, the code checks if in_omr is None even though preprocessing is applied to
in_omr_gray, allowing None from preprocessors to flow into read_omr_response and crash at
image.copy(). This breaks the intended "error OMR case" handling for preprocessor failures (e.g.,
marker/crop not found).

Code

src/entry.py[R236-240]

+        in_omr_gray = template.image_instance_ops.apply_preprocessors(
+            file_path, in_omr_gray, template
        )

        if in_omr is None:

Evidence

apply_preprocessors returns the transformed image, and preprocessors can return None on failure;
however, process_files checks in_omr (the original color image) instead of the post-preprocess
in_omr_gray. When in_omr_gray is None, read_omr_response will attempt image.copy() and
throw.

src/entry.py[236-242]
src/entry.py[270-272]
src/core.py[32-44]
src/processors/CropOnMarkers.py[84-89]
src/processors/CropPage.py[70-76]
src/core.py[49-52]

Agent prompt

The issue below was found during a code review. Follow the provided context and guidance below and implement a solution

## Issue description
`process_files()` assigns the preprocessed image to `in_omr_gray` but checks `if in_omr is None:`. This fails to catch preprocessor failures (`in_omr_gray is None`) and can crash in `read_omr_response()`.

## Issue Context
Several preprocessors return `None` to signal failure (e.g., marker not found / page boundary not found). `read_omr_response()` unconditionally calls `.copy()` on its `image` argument.

## Fix Focus Areas
- src/entry.py[236-242]
- src/entry.py[270-272]

## Suggested change
1. Change the check to `if in_omr_gray is None:` (or check both `in_omr is None` and `in_omr_gray is None`).
2. Ensure the error-handling block triggers for this condition before calling `read_omr_response(...)`.

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools

---

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1. original_colored_image unused for previews 📎 Requirement gap ≡ Correctness

A colored copy of the input image is created but never used for any debug/preview/display outputs;
instead, the code continues to save/process/display grayscale-derived images. This fails the
requirement that debug/preview outputs use the colored copy while keeping grayscale for computation.

Agent Prompt

## Issue description
`process_files()` now reads images in color and creates `original_colored_image`, but all debug/preview outputs still rely on grayscale-derived images (`in_omr_gray` / outputs created from it). This does not satisfy the requirement that debug/preview/show outputs use the colored copy while grayscale remains the processing image.

## Issue Context
- A colored copy is created (`original_colored_image = in_omr.copy()`) but is not passed to any save/show paths.
- `InteractionUtils.show()` currently only accepts a single image argument, so it cannot display a separate colored image unless its API is extended or the caller provides a colored composite.

## Fix Focus Areas
- src/entry.py[219-237]
- src/utils/interaction.py[26-45]

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools

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2. Missing imread none guard 🐞 Bug ☼ Reliability

process_files calls in_omr.copy(), cvtColor, and logs in_omr.shape before verifying that cv2.imread
succeeded, so an unreadable/corrupt image will crash the run. The existing None-handling block is
reached too late to prevent these failures.

Agent Prompt

## Issue description
`process_files()` uses the result of `cv2.imread()` immediately (`.copy()`, `cvtColor`, `.shape`) without guarding against `None`, which will crash on unreadable/corrupt files.

## Issue Context
`cv2.imread()` may return `None`. The current error-handling block runs after preprocessing, but the crash occurs before reaching it.

## Fix Focus Areas
- src/entry.py[219-230]

## Suggested change
1. Check `if in_omr is None:` immediately after `cv2.imread(...)`.
2. In that branch, reuse the existing error-file handling logic (move it up or factor into a helper) and `continue`.
3. Only then do `in_omr.copy()`, `cv2.cvtColor(...)`, and the resolution log.

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools

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3. Wrong variable none-check 🐞 Bug ≡ Correctness

After preprocessing, the code checks if in_omr is None even though preprocessing is applied to
in_omr_gray, allowing None from preprocessors to flow into read_omr_response and crash at
image.copy(). This breaks the intended "error OMR case" handling for preprocessor failures (e.g.,
marker/crop not found).

Agent Prompt

## Issue description
`process_files()` assigns the preprocessed image to `in_omr_gray` but checks `if in_omr is None:`. This fails to catch preprocessor failures (`in_omr_gray is None`) and can crash in `read_omr_response()`.

## Issue Context
Several preprocessors return `None` to signal failure (e.g., marker not found / page boundary not found). `read_omr_response()` unconditionally calls `.copy()` on its `image` argument.

## Fix Focus Areas
- src/entry.py[236-242]
- src/entry.py[270-272]

## Suggested change
1. Change the check to `if in_omr_gray is None:` (or check both `in_omr is None` and `in_omr_gray is None`).
2. Ensure the error-handling block triggers for this condition before calling `read_omr_response(...)`.

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools