Test on 300W (68 2D facial landmarks)
python examples/test_300w.py --model models/300w/hrnet18_256x256_p1/| Backbone | BBox | Resolution | #Params | FLOPs | NME (%) |
|---|---|---|---|---|---|
| HRNet-W18 | P1 | 256x256 | 9.67M | 4.77G | 3.48 |
| HRNet-W18 | P2 | 256x256 | 9.67M | 4.77G | 3.62 |
| MobileNetV2 | P2 | 256x256 | 0.59M | 0.47G | 3.96 |
| MobileNetV2 | P2 | 128x128 | 0.59M | 0.12G | 4.17 |
Test on AFLW2000-3D (68 3D facial landmarks)
python examples/test_aflw2000.py --model models/300wlp/hrnet18_256x256_p2/| TrainSet | Backbone | BBox | Resolution | #Params | FLOPs | NME (%) |
|---|---|---|---|---|---|---|
| 300W-LP | HRNet-W18 | P2 | 128x128 | 9.67M | 1.19G | 3.04 |
| 300W-LP | MobileNetV2 | P2 | 128x128 | 0.59M | 0.12G | 3.21 |