https://github.com/anthonychu/hackthenorth-ml-workshop
https://github.com/anthonychu/hackthenorth-ml-workshop
Last synced: 3 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/anthonychu/hackthenorth-ml-workshop
- Owner: anthonychu
- License: mit
- Created: 2019-09-05T21:29:42.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2023-03-24T23:25:03.000Z (about 2 years ago)
- Last Synced: 2025-01-10T16:48:30.763Z (4 months ago)
- Language: Python
- Size: 6.1 MB
- Stars: 5
- Watchers: 3
- Forks: 4
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Hack the North 2019 - Machine Learning Workshop
Microsoft
## Overview
In this workshop, you will build an image classifier with Azure Custom Vision Service and export it as a TensorFlow model. You will learn how to import the model into a Python application and use it to classify images.
## Part 1 - Train and export the TensorFlow model
Follow the following instructions to create a Custom Vision project. You can use the training images linked to in the tutorial to build a cats vs dogs image classifier.
[**Tutorial: Train and export a TensorFlow model with Azure Custom Vision Service**](train-custom-vision-model.md)
> If you are feeling adventurous or if you have another idea in mind, you can download and use your own images to train a model that recognizes other objects.
## Part 2 - Import and use the model in Python
1. If you haven't cloned this repo already, clone it to your local machine.
1. In a terminal, browse to the `app` folder.
1. Create and activate Python 3 virtual environment by entering:
```bash
python3.7 -m venv .venv
source .venv/bin/activate
# windows:
# .venv\scripts\activate
```
1. Copy the `model.pb` and `labels.txt` that you downloaded from Azure Custom Vision Service into *model* folder or use the ones that are already there.
1. Run the script and a prediction should appear:
```bash
python run.py
```
## Resources
Azure Custom Vision Service can export models that run on many platforms.
- [iOS and Android](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/export-your-model)
- [Xamarin (cross-platform)](https://channel9.msdn.com/Shows/XamarinShow/Custom-Vision--Object-Detection-Made-Easy)
- [Serverless HTTP API (Python)](https://docs.microsoft.com/azure/azure-functions/functions-machine-learning-tensorflow)
- You can also export it as a Docker container (Dockerfile)
Also check out these other resources:
- [Object detection with Custom Vision](https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/get-started-build-detector)
- [All Azure Cognitive Services](https://docs.microsoft.com/azure/cognitive-services/)