https://github.com/jeswanthgalla/PyQt4_GUI_darknet_yolov4

GUI App using PyQt4. Multithreading to process multiple camera streams and using darknet yolov4 model for object detection.
https://github.com/jeswanthgalla/PyQt4_GUI_darknet_yolov4

darknet-yolov4-model pyqt4

Last synced: 3 months ago
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GUI App using PyQt4. Multithreading to process multiple camera streams and using darknet yolov4 model for object detection.

• Host: GitHub
• URL: https://github.com/jeswanthgalla/PyQt4_GUI_darknet_yolov4
• Owner: jeswanthgalla
• Created: 2020-07-15T19:28:02.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2021-05-29T18:37:31.000Z (over 3 years ago)
• Last Synced: 2024-08-02T01:25:18.768Z (7 months ago)
• Topics: darknet-yolov4-model, pyqt4
• Language: Python
• Homepage:
• Size: 1.95 MB
• Stars: 9
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-yolo-object-detection - jeswanthgalla/PyQt4_GUI_darknet_yolov4
• awesome-yolo-object-detection - jeswanthgalla/PyQt4_GUI_darknet_yolov4

README

        
# Python_GUI_darknet_yolov4

 GUI Application built using PyQt4. Multithreading to process multiple camera streams and using darknet yolov4 model for detecting people , to count the number of people that are violating the threshold distance.

 

 If Ipcameras have to be used instead of videofiles, replace Camera0,1,2 with the Ipcamera address.

 

 Ex: camera0 = 'rtsp://{}:{}@192.168.1.40:554/cam/realmonitor?channel=1&subtype=0'

 

  ![GUI_Output](GUI_OUTPUT.png)