Difference between revisions of "YOLO"
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=== Guide === | === Guide === | ||
*https://pjreddie.com/darknet/yolo/ | *https://pjreddie.com/darknet/yolo/ | ||
| + | *Terminal basic tutorial: https://maker.pro/linux/tutorial/basic-linux-commands-for-beginners | ||
Revision as of 17:07, 10 January 2019
Installation
- Fist, we install OpenCV:
- OpenCV Installation
- Then, we need to install our modified version of Darknet:
- Darknet Installation
- Go to the directory and download the YOLO weights:
cd darknet wget https://pjreddie.com/media/files/yolov3.weights
Using YOLO
- Using YOLO with Darknet (GPU + OpenCV). Tested on Ubuntu 16.04
Using YOLO with an image
- Go to the directory and run the detector for images:
cd darknet ./darknet detect cfg/yolov3.cfg yolov3.weights data/dog.jpg
Using YOLO with a video
- Go to the directory and run the detector for videos:
cd darknet ./darknet detector demo cfg/coco.data cfg/yolov3.cfg yolov3.weights ny720p2.mp4
- Run the detector (webcam):
./darknet detector demo cfg/coco.data cfg/yolov3.cfg yolov3.weights
Guide
- https://pjreddie.com/darknet/yolo/
- Terminal basic tutorial: https://maker.pro/linux/tutorial/basic-linux-commands-for-beginners