https://github.com/wilddima/vodopad
Manage your photographs with the power of deep learning! 📷
https://github.com/wilddima/vodopad
cli computer-vision deep-learning python
Last synced: over 1 year ago
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Manage your photographs with the power of deep learning! 📷
- Host: GitHub
- URL: https://github.com/wilddima/vodopad
- Owner: wilddima
- Created: 2018-11-11T17:20:56.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-11-21T13:16:52.000Z (over 7 years ago)
- Last Synced: 2025-03-18T09:21:24.451Z (over 1 year ago)
- Topics: cli, computer-vision, deep-learning, python
- Language: Python
- Size: 147 KB
- Stars: 44
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Vodopad
Manage your photographs with the power of deep learning! 📷
## Overview
A tool for finding people in photographs by one example of a photo with the person and grouping them into separate folders.
### Install
Using [pip](https://github.com/pypa/pip):
```
pip install vodopad
```
### Usage
The first parameter is a photo or a folder with photos, among which the utility will search for people.
Arguments:
* `--people`, `-p` - a photo or folder with photos of people to search
Example:
```
vodopad ./vacation_photos_folder --people=myphoto.jpg
```
* `--move`, `-m` - if this flag is set, photos will be deleted after copying. The default is copying without deletion
Example:
```
vodopad ./vacation_photos_folder --people=myphoto.jpg --move
```
* `--output`, `-o` - This argument specifies the folder in which to copy photos.
Example:
```
vodopad ./vacation_photos_folder --people=myphoto.jpg --output='./only_my_photos_from_vacation'
```
### Example
## Contributing
Bug reports and pull requests are welcome on GitHub at https://github.com/wilddima/vodopad. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the [Contributor Covenant](http://contributor-covenant.org) code of conduct.