https://github.com/erikvold/deep21
Bitcoin-payable deep learning services for image captioning and scene classification.
https://github.com/erikvold/deep21
Last synced: 2 months ago
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Bitcoin-payable deep learning services for image captioning and scene classification.
- Host: GitHub
- URL: https://github.com/erikvold/deep21
- Owner: erikvold
- License: mit
- Created: 2016-04-03T06:30:03.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2016-03-11T23:01:23.000Z (about 9 years ago)
- Last Synced: 2025-02-02T00:13:21.572Z (4 months ago)
- Language: Python
- Size: 19.5 KB
- Stars: 0
- Watchers: 3
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# deep21
Bitcoin-payable deep learning services for image captioning and scene classification.
*Charles Lu ([email protected]) and David Golub ([email protected])*
This is a project created for the CS 251P hackathon at Stanford University combining our interest in deep learning and cryptocurrencies. Using the 21 bitcoin micropayments ecosystem we wrap a bitcoin-payable endpoint around our deep learning models.
## Usage
### coco
Image captioning trained on COCO dataset
`python3 deep21.py --model coco https://upload.wikimedia.org/wikipedia/commons/b/bb/Kittyply_edit1.jpg`
> a black and white cat is sitting on the floor
### wikipedia
Image captioning trained on Wikipedia dataset
`python3 deep21.py --model wikipedia https://upload.wikimedia.org/wikipedia/commons/3/38/Derek_Jeter_batting_stance_allison.jpg`
> a man wearing a black baseball jersey and batting helmet swinging a baseball bat
### scene
Scene classification using SUN dataset labels and scraped images
`python3 deep21.py --model scene https://golfcourse.stanford.edu/images_Dost/Dost10d1000.jpg`
> `[{'class': 'park', 'loglikelihood': '-0.83919325801699'},`
> ` {'class': 'golf_course', 'loglikelihood': '-1.4066264219261'},`
> ` {'class': 'campsite', 'loglikelihood': '-2.1477187870691'},`
> ` {'class': 'sand_trap', 'loglikelihood': '-2.7732145139539'},`
> ` {'class': 'mountain_snowy', 'loglikelihood': '-3.3946510286202'}]`