Gas Meter Digit Segmentation Step 2: Integrating ROI with CNN(MNIST) Models for Meter Reading
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- 15小时前
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After completing the ROI logic, it was time to put it to the test.
I ported my Python environment to Google Colab and uploaded the images of actual gas meters to simulate a real-world scenario.
The Workflow:
Environment Setup: Adjusting the Python scripts to run seamlessly in the Colab cloud environment.
Model Preparation: Training the model (leveraging the logic of MNIST but fine-tuned for meter digits) to recognize the segmented "slices" of numbers.
Inference: Feeding the pre-processed images—those "toast slices" we cut earlier—into the CNN model for prediction.
The Moment of Truth: The integration worked. The model successfully identified the digits from the gas meter.
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