Model | Parameter | FLOPs | Precision |
OpenPose + GoogLeNet | 5 M | 1.5 G | 92.8% |
OpenPose + AlexNet | 6 M | 7.3 G | 90.2% |
OpenPose + VggNet | 13 M | 15.7 G | 89.7% |
OpenPose + ResNet | 11 M | 10.8 G | 88.3% |