RetinaFace.PyTorch Save
Reimplement RetinaFace using PyTorch.
Project README
RetinaFace.PyTorch
Reimplentment of RetinaFace with modification!
Requirements
- pytorch
- tvm
WIDER accuracy
| Impelmentation | Easy-Set | Medium-Set | Hard-Set | Speed | Test-Method(short side 1600) | Params | FLOPs (640*640) |
|---|---|---|---|---|---|---|---|
| res18 | - | - | - | - | single-scale | - | |
| modified_mnasnet | 0.8495 | 0.8339 | 0.7531 | - | single-scale | 325.38k | 386.57MMac |
| modified_mnasnet | 0.8649 | 0.8436 | 0.7139 | single-scale | 325.38k | 386.57MMac | |
| mobilenet0.25 | - | - | - | - | single-scale | 427.22k | 1.02G |
Note: I test the forward speed with converted tvm model using mac i7 cpu.
AFLW accuracy
demo:
TODO:
- Wider Face accuracy testing
- AFLW accuracy testing
- Inference on TVM
Open Source Agenda is not affiliated with "RetinaFace.PyTorch" Project. README Source: YongtaoGe/RetinaFace
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