https://github.com/cansik/sensitized
An example on how to use yolov2 from open cv within processing.
https://github.com/cansik/sensitized
Last synced: 3 months ago
JSON representation
An example on how to use yolov2 from open cv within processing.
- Host: GitHub
- URL: https://github.com/cansik/sensitized
- Owner: cansik
- Created: 2018-03-15T12:35:32.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-03-31T11:33:28.000Z (about 7 years ago)
- Last Synced: 2025-02-05T06:43:41.379Z (4 months ago)
- Language: Kotlin
- Size: 27.2 MB
- Stars: 2
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# YOLO Processing
An example implementation which shows how to use yolov2 from open cv within java / processing.
The project is based on the following C++ reference implementation:
https://docs.opencv.org/3.4.0/da/d9d/tutorial_dnn_yolo.html
### Setup
To run the example you have to install `opencv 3.4.1`. On a mac you can use `brew`:
```bash
brew install --build-from-source opencv
```
The java libraries are included in the project itself. Then you need the weights from the [darknet](https://pjreddie.com/darknet) project. Put it into the `data/darkent/` folder.
Finally just run the gradle build and run command:
```bash
gradle build
gradle run
```
And you should see the detected Lena:
### About
Thanks to
https://pjreddie.com/darknet