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Convert-food101-model
CoreMLComplete
CoreMLInit
CustomModelComplete
CustomModelInitial
Vision+CoreMLComplete
Vision+CoreMLInit
.gitignore
CODEOWNERS
README.md

README.md

Core ML Mini-Course

Resources for Udacity's Core ML mini-course. This repository contains the iOS image classification app (SmartGroceryList) in various formats including its integration with and without Vision framework. A custom Core ML model is also included.

Convert-food101-model

Converting the Food 101 custom machine learning model to .mlmodel format utilizes several Python tools that have been packaged into a Docker image. To run the docker image:

$ cd Convert-food101-model
$ docker build -t convert-coreml .
$ docker run --rm -it -p 8888:8888 -v "$(pwd)/notebook:/workspace/notebook" convert-coreml

If you don't have Docker installed, you can find instructions on installing here.

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