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Create object_recognition.py #105

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feat: Implement advanced object recognition using TensorFlow Object Detection API

  • Integrated TensorFlow Object Detection API for deep learning-based object recognition.
  • Added functions to load a saved model, restore checkpoints, and perform object detection on images.
  • Implemented visualization of detection results for better interpretability.
  • Placeholder paths ('path/to/model/pipeline.config', 'path/to/saved_model', etc.) need to be updated with actual paths for deployment.
  • Enhanced the repository with a flexible and customizable framework for object recognition.

This update adds powerful object detection capabilities, allowing users to detect and visualize objects in images with ease.

feat: Implement advanced object recognition using TensorFlow Object Detection API

- Integrated TensorFlow Object Detection API for deep learning-based object recognition.
- Added functions to load a saved model, restore checkpoints, and perform object detection on images.
- Implemented visualization of detection results for better interpretability.
- Placeholder paths ('path/to/model/pipeline.config', 'path/to/saved_model', etc.) need to be updated with actual paths for deployment.
- Enhanced the repository with a flexible and customizable framework for object recognition.

This update adds powerful object detection capabilities, allowing users to detect and visualize objects in images with ease.
@PrinceSajjadHussain
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@hrnn @pappacena @hugohonda @Canas , could you please review and approve this pull request?
This PR implements advanced object recognition using TensorFlow Object Detection API, enhancing the repository with deep learning-based object detection.

It includes:

  • Model loading and checkpoint restoration.
  • Object detection and visualization.
  • A flexible framework for further customization.

The workflow is currently awaiting approval. Please approve it to proceed with unit tests and merging.
Thanks! 🙌

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