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| author | Jordan Gong <jordan.gong@protonmail.com> | 2021-02-17 20:27:33 +0800 |
|---|---|---|
| committer | Jordan Gong <jordan.gong@protonmail.com> | 2021-02-17 20:27:33 +0800 |
| commit | 2988c1b9afd4e869b629a8629abedbf63d2452aa (patch) | |
| tree | 39c4ca790e4ae0cd79795dabb669133136eaec03 /preprocess.py | |
| parent | ef41498844a41e275f5d3501307d6ee3359c5ead (diff) | |
| parent | 31af04b70fcc0e7b46cbe18a52d150eb4e274f0e (diff) | |
Merge branch 'python3.8' into data_parallel_py3.8
Diffstat (limited to 'preprocess.py')
| -rw-r--r-- | preprocess.py | 5 |
1 files changed, 3 insertions, 2 deletions
diff --git a/preprocess.py b/preprocess.py index 8af58f2..894c7c1 100644 --- a/preprocess.py +++ b/preprocess.py @@ -1,5 +1,6 @@ import glob import os +from typing import Tuple import torch import torchvision @@ -23,7 +24,7 @@ class CASIABClip(Dataset): video, *_ = torchvision.io.read_video(filename, pts_unit='sec') self.frames = video.permute(0, 3, 1, 2) / 255 - def __getitem__(self, index) -> tuple[int, torch.Tensor]: + def __getitem__(self, index) -> Tuple[int, torch.Tensor]: return index, self.frames[index] def __len__(self) -> int: @@ -35,7 +36,7 @@ model = model.to(DEVICE) model.eval() -def result_handler(frame_: torch.Tensor) -> tuple[torch.Tensor, torch.Tensor]: +def result_handler(frame_: torch.Tensor) -> Tuple[torch.Tensor, torch.Tensor]: for (box, label, score, mask) in zip(*result.values()): x0, y0, x1, y1 = box height, width = y1 - y0, x1 - x0 |