+ jr^RIt^RIt]P!R4RtRtRtR RltRtRtR R lt R t R#) 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\P!V4'g\R\V4,4hVP 4^8Xg!\ RVP 4,4hR#)zclip should be Tensor. Got %szclip should be 4D. Got %dDT)torch is_tensor TypeErrortype ndimension ValueErrordimclips&i/home/luca/screen-checking/.venv/lib/python3.14/site-packages/torchvision/transforms/_functional_video.py_is_tensor_video_clipr sO ??4 7$t*DEE ??  !5 BCC c\VP44^8wd \R4hVRWV,1W"V,13,#)zO Args: clip (torch.tensor): Video clip to be cropped. Size is (C, T, H, W) zclip should be a 4D tensor.)lensizer )r ijhws&&&&&r croprsA  499;1566 QQYE ) **rc\V4^8wd\RV 24h\PPP WVRR7#)z9target size should be tuple (height, width), instead got F)rmode align_corners)rr rnn functional interpolate)r target_sizeinterpolation_modes&&&r resizer! sH ;1TU`Tabcc 88   * *4HZjo * pprcp\V4'g \R4h\WW#V4p\WV4pV#)a Do spatial cropping and resizing to the video clip Args: clip (torch.tensor): Video clip to be cropped. Size is (C, T, H, W) i (int): i in (i,j) i.e coordinates of the upper left corner. j (int): j in (i,j) i.e coordinates of the upper left corner. h (int): Height of the cropped region. w (int): Width of the cropped region. size (tuple(int, int)): height and width of resized clip Returns: clip (torch.tensor): Resized and cropped clip. Size is (C, T, H, W) clip should be a 4D torch.tensor)rr rr!)r rrrrrr s&&&&&&&r resized_cropr$&s; ! & &;<< q !D $0 1D KrcP\V4'g \R4hVPR4VPR4r2VwrEW$8gW58d \R4h\\ W$, R, 44p\\ W5, R, 44p\ WWtV4#)r#z2height and width must be no smaller than crop_sizeg@)rr rintroundr)r crop_sizerrthtwrrs&& r center_cropr-:s  & &;<< 99R=$))B-q FBvMNN E16S. !"A E16S. !"A  ##rc\V4VP\P8Xg&\ R\ VP4,4hVP 4P^^^^4R, #)z Convert tensor data type from uint8 to float, divide value by 255.0 and permute the dimensions of clip tensor Args: clip (torch.tensor, dtype=torch.uint8): Size is (T, H, W, C) Return: clip (torch.tensor, dtype=torch.float): Size is (C, T, H, W) z/clip tensor should have data type uint8. Got %sgo@)rdtyperuint8rstrfloatpermuter s&r to_tensorr4GsZ$ :: $ICPTPZPZO[\\ ::<  1a +e 33rcz\V4'g \R4hV'gVP4p\P!WP VP R7p\P!W P VP R7pVPVR,4PVR,4V#)z Args: clip (torch.tensor): Video clip to be normalized. Size is (C, T, H, W) mean (tuple): pixel RGB mean. Size is (3) std (tuple): pixel standard deviation. Size is (3) Returns: normalized clip (torch.tensor): Size is (C, T, H, W) r#)r/device):NNNNNN) rr cloner as_tensorr/r6sub_div_)r meanstdinplaces&&&&r normalizer>Vs ! & &;<< zz| ??4zz$++ FD //#ZZ DCIId&'(--c2E.FG Krc\\V4'g \R4hVPR4#)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&r hfliprAis) ! & &;<< 99R=r)bilinear)F) warningsrwarnrrr!r$r-r4r>rArr rFsH  I +q ( $ 4& r