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...

Include dependency graph for darknet_09_keypoints_images.cpp:

Functions
int	main (int argc, char *argv[])

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[]
	)

Here is the call graph for this function: