NutriVision CNN Model
This repository contains the trained CNN model used by NutriVision, a mobile application designed to analyze food and nutrition labels from images.
The model is distributed separately from the main NutriVision source repository because the trained weights are a relatively large binary file and are better suited to dedicated model hosting.
About NutriVision
NutriVision is a full-stack mobile application that combines image processing, OCR, machine learning, and nutrition/ingredient parsing to turn information from food packaging into structured results that are easier to understand.
The overall pipeline looks roughly like this:
Food / Nutrition Label
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Camera Image
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Image Processing
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OCR
(EasyOCR)
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Nutrition / Ingredient
Parsing
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CNN Processing
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Structured Analysis
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NutriVision App
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://TweeeZT/Nutrivision")