gmurro / food-recognition

Image-based food segmentation for Deep Learning class at @UNIBO

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food-recognition's Issues

Discrepancy Between cat_names in Training and Predictions

Hello,

I noticed a discrepancy in the cat_names between the training phase and the prediction phase (in the files /src/models/model_D and /src/test_scripts/video_segmenation.py). The problem I ran into is that the class names in my cat_names list appear to be different during prediction compared to what was used during training.

I would like to understand why this difference exists and how it might affect the accuracy of my model. Apologies for what may seem like a beginner's question as I am new to Python. Could you provide some information on the source of this discrepancy? It is important to me to ensure consistency between the class names used in training and those used for predictions.

Thank you for your help.

Best Regards,
Serhii