[CjpSSKrSSKr\R"S5 SrSrSrS SjrSrSrS S jr S r g) NzThe 'torchvision.transforms._functional_video' module is deprecated since 0.12 and will be removed in the future. Please use the 'torchvision.transforms.functional' module instead.c[R"U5(d[S[U5-5eUR 5S:Xd[ SUR 5-5eg)Nzclip should be Tensor. Got %szclip should be 4D. Got %dDT)torch is_tensor TypeErrortype ndimension ValueErrordimclips ڶC:\Users\johnn\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.13_qbz5n2kfra8p0\LocalCache\local-packages\Python313\site-packages\torchvision/transforms/_functional_video.py_is_tensor_video_clipr sO ??4 7$t*DEE ??  !5 BCC cr[UR55S:wa [S5eUSXU-2X"U-24$)zO Args: clip (torch.tensor): Video clip to be cropped. Size is (C, T, H, W) rzclip should be a 4D tensor.)lensizer )r ijhws rcroprsA  499;1566 QQYE ) **rc[U5S:wa[SU35e[RRR XUSS9$)Nz9target size should be tuple (height, width), instead got F)rmode align_corners)rr rnn functional interpolate)r target_sizeinterpolation_modes rresizer" sH ;1TU`Tabcc 88   * *4HZjo * pprcn[U5(d [S5e[XX#U5n[XU5nU$)a Do spatial cropping and resizing to the video clip Args: clip (torch.tensor): Video clip to be cropped. Size is (C, T, H, W) i (int): i in (i,j) i.e coordinates of the upper left corner. j (int): j in (i,j) i.e coordinates of the upper left corner. h (int): Height of the cropped region. w (int): Width of the cropped region. size (tuple(int, int)): height and width of resized clip Returns: clip (torch.tensor): Resized and cropped clip. Size is (C, T, H, W) clip should be a 4D torch.tensor)rr rr")r rrrrrr!s r resized_cropr%&s; ! & &;<< q !D $0 1D Krc*[U5(d [S5eURS5URS5p2UupEX$:dX5:a [S5e[[ X$- S- 55n[[ X5- S- 55n[ XXtU5$)Nr$z2height and width must be no smaller than crop_sizeg@)rr rintroundr)r crop_sizerrthtwrrs r center_cropr.:s  & &;<< 99R=$))B-q FBvMNN E16S. !"A E16S. !"A  ##rc[U5 UR[R:Xd![ S[ UR5-5eUR 5RSSSS5S- $)z Convert tensor data type from uint8 to float, divide value by 255.0 and permute the dimensions of clip tensor Args: clip (torch.tensor, dtype=torch.uint8): Size is (T, H, W, C) Return: clip (torch.tensor, dtype=torch.float): Size is (C, T, H, W) z/clip tensor should have data type uint8. Got %srrgo@)rdtyperuint8rstrfloatpermuter s r to_tensorr7GsZ$ :: $ICPTPZPZO[\\ ::<  1a +e 33rcr[U5(d [S5eU(dUR5n[R"XR UR S9n[R"X R UR S9nURUSS2SSS45RUSS2SSS45 U$)z Args: clip (torch.tensor): Video clip to be normalized. Size is (C, T, H, W) mean (tuple): pixel RGB mean. Size is (3) std (tuple): pixel standard deviation. Size is (3) Returns: normalized clip (torch.tensor): Size is (C, T, H, W) r$)r2deviceN) rr cloner as_tensorr2r9sub_div_)r meanstdinplaces r normalizerAVs ! & &;<< zz| ??4zz$++ FD //#ZZ DCIId1dD$&'(--c!T42E.FG KrcZ[U5(d [S5eURS5$)z Args: clip (torch.tensor): Video clip to be normalized. Size is (C, T, H, W) Returns: flipped clip (torch.tensor): Size is (C, T, H, W) r$r()rr flipr s rhfliprDis) ! & &;<< 99R=r)bilinear)F) warningsrwarnrrr"r%r.r7rArDrrrIsH  I +q ( $ 4& r