LPIPS for MegEngine
MegEngine port for LPIPS metric.
Get Started
Run pip3 install mge-lpips to install this package. The provided mge_lpips.LPIPS is a normal MegEngine M.Module which can be used as a metric or a loss function.
import numpy as np
import megengine as mge
from mge_lpips import LPIPS
metric_lpips = LPIPS(net="alex")
in1 = np.random.uniform(-1, 1, size=(2, 3, 256, 256)).astype(np.float32)
in2 = np.random.uniform(-1, 1, size=(2, 3, 256, 256)).astype(np.float32)
d = metric_lpips(mge.Tensor(in1), mge.Tensor(in2))
Acknowledgements
The code of this project is modified from the original LPIPS project. The backbone model code is modified from torchvision. The weights are from the origian LPIPS project and torchvision.
Metadata
Release files for mge-lpips 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mge_lpips-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Release files / mge_lpips-0.1.0-py3-none-any.whl
| Download URL | mge_lpips-0.1.0-py3-none-any.whl |
|---|---|
| Size | 48.8 kB |
| Tags | Python 3 |
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