https://github.com/barleo01/yoloobjectdetector

Yolo Object detector with Opencv and Qt
https://github.com/barleo01/yoloobjectdetector

Last synced: 12 days ago
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Yolo Object detector with Opencv and Qt

• Host: GitHub
• URL: https://github.com/barleo01/yoloobjectdetector
• Owner: barleo01
• Created: 2019-05-29T07:49:04.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2019-05-29T11:50:20.000Z (about 5 years ago)
• Last Synced: 2024-02-29T10:35:08.571Z (4 months ago)
• Language: C++
• Homepage:
• Size: 1.16 MB
• Stars: 5
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Lists

• awesome-yolo-object-detection - barleo01/yoloobjectdetector

README

        
# Object detector with Opencv and Qt

The pupose of this application is to capture video from a camera, apply a YOLO Object detector and display it on a simple Qt Gui.

## Processing

The processing of the Yolo Detector (10 CNN) took ~0.5 seconds on 7 cores. In order to have a fluid application, not all images could be processed. I used thread 1 and a timer to grab the images every milliseconds.

On another thread, the processing were done. Once finished it sends the output of the layer to the thread 1 and received a new image. I used QThread for the implementation

## Data needed

To work, the application need the trained weights of the neural network. You can find there:

*https://pjreddie.com/media/files/yolov3.weights

The configuration of the neural network can be found here:

*https://github.com/pjreddie/darknet/blob/master/cfg/yolov3.cfg

*https://github.com/pjreddie/darknet/blob/master/data/coco.names

All three files must be placed in a folder called "data" in the cmake directory

![Screenshot](Exple.png)