https://github.com/kastentx/magicat
🧙😺 magicat - Deep learning magic.. with the convenience of cat!
https://github.com/kastentx/magicat
cli-utilities deep-learning model-asset-exchange nodejs tensorflow-js
Last synced: about 2 months ago
JSON representation
🧙😺 magicat - Deep learning magic.. with the convenience of cat!
- Host: GitHub
- URL: https://github.com/kastentx/magicat
- Owner: kastentx
- Created: 2018-10-23T17:38:43.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2018-11-19T16:38:49.000Z (over 6 years ago)
- Last Synced: 2025-02-05T09:57:03.971Z (4 months ago)
- Topics: cli-utilities, deep-learning, model-asset-exchange, nodejs, tensorflow-js
- Language: JavaScript
- Homepage:
- Size: 9.94 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
## 🧙😺 `magicat`
### _Deep learning magic.. with the convenience of `cat`!_
A Deep Learning powered CLI utility.
Install using `npm` to automatically add the `magicat` command to your PATH.
```
npm install -g magicat
```
That's it!
Now you can begin using the `magicat` command like your very own command-line crystal ball 🔮 to identify what objects are contained in an image.
If you have multiple images you'd like to inspect, you can also specify the name of a directory containing image files.
If you'd like to see an in-terminal preview of any of these objects, use the `--show` flag, followed by the name of the object you'd like to see. You can specify the 'colormap' to see all the objects highlighted within the original image.
_Object preview made possible thanks to @sindresorhus and [`terminal-image`](https://github.com/sindresorhus/terminal-image)_
To save any of the objects as individual image files, use the `--save` flag, followed by the name of the object you'd like to save, or use 'all' to save all objects.
