How to use the lpips.util.util.voc_ap function in lpips
To help you get started, we’ve selected a few lpips examples, based on popular ways it is used in public projects.
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revbucket / mister_ed / lpips / dist_model.py View on Github 
# bar.update(i)
sames = np.array(gts)
ds = np.array(ds)
sorted_inds = np.argsort(ds)
ds_sorted = ds[sorted_inds]
sames_sorted = sames[sorted_inds]
TPs = np.cumsum(sames_sorted)
FPs = np.cumsum(1-sames_sorted)
FNs = np.sum(sames_sorted)-TPs
precs = TPs/(TPs+FPs)
recs = TPs/(TPs+FNs)
score = util.voc_ap(recs,precs)
return(score, dict(ds=ds,sames=sames))
Popular lpips functions
- lpips.base_model.BaseModel
- lpips.base_model.BaseModel.initialize
- lpips.networks_basic
- lpips.networks_basic.DSSIM
- lpips.networks_basic.FakeNet
- lpips.networks_basic.L2
- lpips.networks_basic.NetLinLayer
- lpips.networks_basic.PNet
- lpips.networks_basic.PNetLin
- lpips.networks_basic.print_network
- lpips.PerceptualLoss
- lpips.util.util.cos_sim
- lpips.util.util.l2
- lpips.util.util.normalize_tensor
- lpips.util.util.tensor2im
- lpips.util.util.tensor2np
- lpips.util.util.tensor2tensorlab
- lpips.util.util.voc_ap