Darknet/YOLO v3.0-149-gb11c9d5
Object Detection Framework
 
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darknet_09_keypoints_images.cpp File Reference

This application uses a specific neural network that follows the MSCOCO-style keypoints to show "skeletons" over people detected in images. More...

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Functions

int main (int argc, char *argv[])
 
void set_default_neural_network_files (Darknet::Parms &parms)
 

Detailed Description

This application uses a specific neural network that follows the MSCOCO-style keypoints to show "skeletons" over people detected in images.

You must have the Darknet/YOLO Keypoints 18-class neural network for this to work. (See the Darknet/YOLO readme for links to download the network config and weights.)

The 18 classes are:

  • 0: nose
  • 1: left eye
  • 2: right eye
  • 3: left ear
  • 4: right ear
  • 5: left shoulder
  • 6: right shoulder
  • 7: left elbow
  • 8: right elbow
  • 9: left wrist
  • 10: right wrist
  • 11: left hip
  • 12: right hip
  • 13: left knee
  • 14: right knee
  • 15: left ankle
  • 16: right ankle
  • 17: person

Call it like this:

darknet_09_keypoints_images people_*.jpg

If you have a specific network you want to load, call it like this:

darknet_09_keypoints_images mynetwork.cfg mynetwork.weights people_*.jpg

Function Documentation

◆ main()

int main ( int  argc,
char *  argv[] 
)
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◆ set_default_neural_network_files()

void set_default_neural_network_files ( Darknet::Parms parms)
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