YOLO-Real-Time-Object-Detection
![N|Solid](https://camo.githubusercontent.com/d730b965829967a5391b1c1026f6a2c0ffdbaec7804b8797b4402b305162f6c0/68747470733a2f2f64726976652e676f6f676c652e636f6d2f75633f69643d3138385839755455315f5654375442753477706e6e49766d50697a507853547a65)
Performance on the COCO Dataset
- yolov3.weights
- colo-name
- yolov3.cfg
Download the pre-trained weight file here Or Just run this
$ wget https://pjreddie.com/media/files/yolov3.weights
Download the coco-name and colo-name file here Or Just run this
$ git clone https://github.com/pjreddie/darknet
- coco-name location:- darknet/data/coco.names
- yolov3.cfg location:- darknet/cfg/yolov3.cfg
$ python3 yolo_video.py -i o
If you want to Change confidence and threshold value
$ python3 yolo_video.py -i o -c 0.6 -t 0.4
- -c for confidence
- -t for threshold
For other Media file and live stream Just run this
$ python3 yolo_video.py -i rtsp://192.168.43.102:7878/h264_ulaw.sdp
For live stream by url Just run this
$ python3 yolo_video.py -i http://192.168.43.102:7878/video?x.mjpg
![alt text](https://camo.githubusercontent.com/11c9d73d68edeb9e081874aadabf017b68b76a63b278da860f9356b9c9620710/68747470733a2f2f64726976652e676f6f676c652e636f6d2f75633f69643d31624a617175394e734c773837453634477178796836394d7538535f515932332d)
$ python3 yolo_video.py -i video_file_name