https://github.com/jkl404/cloud_vision
Cloud Vision is GCP Project to derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more.
https://github.com/jkl404/cloud_vision
api cloud-computing deep-learning gcp gcp-cloud-functions image-classification machine-learning
Last synced: 6 months ago
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Cloud Vision is GCP Project to derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more.
- Host: GitHub
- URL: https://github.com/jkl404/cloud_vision
- Owner: JKL404
- Created: 2021-11-09T16:56:18.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2021-11-10T03:25:41.000Z (almost 4 years ago)
- Last Synced: 2024-10-20T04:18:16.244Z (12 months ago)
- Topics: api, cloud-computing, deep-learning, gcp, gcp-cloud-functions, image-classification, machine-learning
- Language: CSS
- Homepage:
- Size: 5.39 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Vision AI
## _JKL404_
[](https://travis-ci.org/joemccann/dillinger)
Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more.
## Features
- Use machine learning to understand your images with industry-leading prediction accuracy
- Train machine learning models that classify images by your custom labels using AutoML Vision
- Detect objects and faces, read handwriting, and build valuable image metadata with Vision API
## Installation
### Setting up the Google Vision API
To use the Google Vision API, you have to sign up for a Google Compute Engine Account. GCE is free to try but you will need a credit card to sign up. From there you select a project (but My First Project is selected if you have just signed up). Then get yourself an API key from the lefthand menu.
Here, I’m using a simple API key that I can use with the command line tool Curl (if you prefer, you can use a different tool able to call REST APIs):
Save the key it generates to a json file
Install the dependencies and devDependencies and start the server.
```sh
pip install flask, google-cloud, python
export GOOGLE_APPLICATION_CREDENTIALS="yourapikey.json"
python main.py
```
Verify the deployment by navigating to your server address in
your preferred browser.
```sh
127.0.0.1:8000
```
## Demo
## License
MIT
**Free Software, Hell Yeah!**