Update object_detection.py

[Khushi-Dua]

Here's a brief analysis of the provided code, focusing on key issues and improvements:

1. Model Loading:

   • The code loads the object detection model globally. This is fine for single-use scripts but could cause inefficiencies if this script is reused in multiple contexts. Consider wrapping the model load inside a function for modularity and efficiency.

2. Image Resizing:

   • The detect_objects function resizes images directly to the model’s input size without preserving the aspect ratio, which may impact detection accuracy. Implementing aspect-ratio-preserving resize with padding would improve detection performance.

3. Object Detection Inference:

   • Tensor conversion involves resizing the image and adding a batch dimension manually, which can be streamlined by specifying dimensions directly upon tensor creation.

4. Class Mapping:

   • The code includes hard-coded class names for COCO objects, making it hard to update or extend. Externalizing this list (e.g., in a JSON file) would improve maintainability.

5. Bounding Box Drawing and Item Detection:

   • The function draw_boxes mixes image annotation (drawing boxes) with printing/logging, which reduces separation of concerns. Moving logging to a dedicated function could improve readability.

6. Image Display and Environment Compatibility:

   • The code calls cv2.imshow() and cv2.waitKey(0) for displaying images, which may not work in all environments (e.g., headless servers or Jupyter notebooks). A conditional display check would enhance compatibility.

Summary of Key Improvements

• Modularize model loading to allow reuse.
• Preserve image aspect ratio when resizing.
• Streamline tensor conversion for efficiency.
• Externalize class mapping to enhance code maintainability.
• Separate logging and drawing functions.
• Use a display condition to improve compatibility across environments.

These adjustments would make the code cleaner, more efficient, and easier to maintain, while preserving the original functionality.

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[github-actions]

🎉🎉 Thank you for your contribution! Your PR #81 has been merged! 🎉🎉