
    1%f[C                     D   d dl Z d dlZd dlmZ d dlZd dlZd dlmZ d dlm	Z	 d dl
mZ d dlmZ d dlmZmZ d dlmZ d dlmc mZ d dlZd dlZd dlZd dlZd dlZd dlZd Z G d	 d
e      Z G d de      Z  G d de      Z! G d de      Z" G d de      Z#d Z$d Z%d Z&y)    N)Image)glob)EasyDict)OrderedDict)Dataset)datasets
transformsc                 ,   | dk(  rt        dddddd      }|S | dk(  rt        ddddd	d      }|S | d
k(  rt        ddddd	d      }|S | dk(  rt        ddddd	d      }|S | dk(  rt        dd	ddd	d      }|S | dk(  rt        ddddd	d      }|S | dk(  rt        ddddd	d      }|S | dk(  rt        dddd d	d      }|S | d!v rt        dddd d	d      }|S | d"k(  rt        ddd#d$d	d      }|S | d%k(  rt        dd&d'd(d	d      }|S t        |  d)      )*Nmnist   
   i`  i'     )
image_sizenum_classestrain_images
val_imagesnum_channelsmnist_m   cifar10    iP  melanoma@      if  r   afhqi&9  i  celeba   i iX0  cars   i  ii  hydrants   f   d   )
vid_tetristetrisspheresspheres_imgsspheres_scenegraphflowersi  i  gtsrb+   iT  iW1   dataset nor supported!)r   
ValueError)namemetadatas     2/home/cameronsmith/repos/minimal-diffusion/data.pyget_metadatar1      s'   w ! %# !
^ OM 
	 ! %# !
J Oy 
	 ! %# !
v Oe 
	   % !
b OQ 
   %" !
N O} 
	   &# !
z Oi 
 " $" !
f OU 
	!" %! !
R OA 
V	V!" %! !
> O- 
	 " $" !
* O 
 ! %# !
 O D6!89::    c                        e Zd ZddZd Zd Zy)hydrants_datasetNc                 v    t        t        d            | _        t        t        d            | _        || _        y )Nz*/data/co3dhydrants/co3d/hydrants/hydrant/*z6/data/co3dhydrants/co3d/hydrants/hydrant/*/images/*.pt)sortedr   sceneswithpt_imgs	transformselfroot_dirr9   s      r0   __init__zhydrants_dataset.__init__   s.    T"NOP!$'_"`a r2   c                 ,    t        | j                        S N)lenr8   r;   s    r0   __len__zhydrants_dataset.__len__   s    4##$$r2   c                 F   | j                   |   }d}d}d}|j                  dd      }t        j                  |d      \  }}}	d}
t        j                  t        j                  |            j                  d	dd      d    d
z  d	z  dz
  }dt        j                  ||
|
fdd      i}t        j                  |d   d      d   }g d}t        j                  |D cg c]  }||   	 c}      }t        j                  |D cg c]  }|	|   	 c}      }t        j                  |t        j                  t        j                        }|D cg c]4  }t        j                  |j!                         |j!                               6 }}t        j"                  |D cg c]*  }t        j"                  t        j$                  |            , c}      dz  }t'        |      dk(  rdnt'        |      d	k(  rdnd}t        j                  |j(                  j+                  dd      d    |
|
f      d   j-                  dd	      j(                  j!                         |d<   t        j                  |j!                         d | t        j.                  t1        d|t'        |      z
        d	d      f      |d<   t        j                  |j!                         d | t        j.                  t1        d|t'        |      z
        d      f      |d<   |S #  | d   cY S xY wc c}w c c}w c c}w c c}w )Nr   r   r   z_scenegraph.pt.jpgcpumap_locationr!   r      rgbbilinearTmode	antialias)NN)   rN   )r   r   )r   r   r   r#   r   (   r   point_cloudbboxsi   	clip_embs)r8   replacetorchload
from_numpypltimreadpermuteFinterpolatecatsgvis2depth_map_to_point_cloudKdfilter_points_by_maskrE   stackcompute_bounding_boxr@   T	unflattenflattenzerosmax)r;   idx	scenepathn_framen_skip	start_idximg_pathdepthmasksrR   imslimgscenemask_levelsi
masks_flatclip_embs_flatrP   mmask_pointsmask_points_
bboxs_flat	max_maskss                          r0   __getitem__zhydrants_dataset.__getitem__   s    $$S)		
 $$%5f=%*ZZ	u%M"U5  szz(34<<QqCDI#MaOPQQQ]]3T{
dSTmmE),Y7< YY+>Qa>?
+#FQIaL#FG55eVXXvxxPYcdTUv33KOO4EquuwOddKKmx y]i%++f.I.I,.W"X yz  ~A  A
{+Q.C#k:JA:MBSU	]];==+B+B1Y+OPT+UW[\`Vabcdemmnopqrttxxzmyy*.."2:I">u{{3qQZ[^_i[jQjKklmno?p!qrg 99n&8&8&::I&Fu{{SVWXYbcfgucvYvSwx{G|%}~k3 	tAw  ?#F e ys#   L L L
9L/LLr?   __name__
__module____qualname__r=   rB   r}    r2   r0   r4   r4      s    !%-r2   r4   c                        e Zd ZddZd Zd Zy)spheres_datasetNc                 |    t        t        j                  j                  dd            | _        || _        || _        y )Nz/data/toy_spheres_scenegraph*)r   ospathjoinr7   r9   	just_imgs)r;   r<   r9   imgss       r0   r=   zspheres_dataset.__init__   s,    277<<(FsKL r2   c                      y)Ni r   rA   s    r0   rB   zspheres_dataset.__len__   s    r2   c           
         t        j                  t        j                  | j                        d      }t        j
                  |d   dd ddf   t        j                  j                  j                  |d   dd dd df         fd      dz  |d<   dx}}|d	   j                  dd
      |d	<   t        t        dt        |d	                     d d d   }| j                  r-t        j                  j!                  dt        |d	               g}|j#                         D ci c]  \  }}|d|vr||   n| }}}t        j$                  |g      d    j'                  t        |      d      |d<   t)        j*                  |d         |d<   |j#                         D ]J  \  }}|j-                  d
      dkD  st/        j0                  |j3                  ddd
d      ||fdd      ||<   L |S c c}}w )NrE   rF   cameras.r   r   r   rI   r   r   graphri   scene_graph   rJ   TrK   )rT   rU   randomchoicer7   r\   korniageometryconversionsrotation_matrix_to_axis_anglecliplistranger@   r   nprandintitemstensorexpandvis_scene_graphpack_scene_graphsizerZ   r[   rY   )r;   ri   rs   whidxskvs           r0   r}   zspheres_dataset.__getitem__   s     jjt{{3G !99eI&6s2A2by&A&//B]B]B{B{  }B  CL  }M  NQ  RT  ST  RT  UW  VW  UW  NW  }X  CY  &Z  []  ^  _`  `i !
 5\&&r!,e
 %#eEl+,-cc2>>!2!21Su5F!G H4?D{{}M!qG1,4!3MM\\3%(.55c$iCe -==eM>RSm;;= 	oCAavvay|q}}QYYq1Q5G1S]im'nU1X	o
  Ns   !G))NFr~   r   r2   r0   r   r      s    "r2   r   c                        e Zd ZddZd Zd Zy)vid_tetris_datasetNc                 t    t        t        j                  j                  |d            d d | _        || _        y )Nr   r   r   r   r   r   r7   r9   r:   s      r0   r=   zvid_tetris_dataset.__init__   s+    277<<56r: r2   c                 ,    t        | j                        S r?   r@   r7   rA   s    r0   rB   zvid_tetris_dataset.__len__       4;;r2   c                 &   t        j                  | j                  |         }|j                         D ci c](  \  }}|t	        j
                  |d d dz  dz
  ddd      * }}}|j                         D ]  \  }}d|v s|d	z  ||<    |S c c}}w )
N   r   r   r!   r!   rJ   TrK   
shape_typer   rT   rU   r7   r   rZ   r[   r;   ri   rs   r   r   s        r0   r}   zvid_tetris_dataset.__getitem__   s    jjS)*
 `e_j_j_lmX[XYZ[qq!uQwqy
dSSmm;;= 	0CAaq 1R4%(	0  ns   -Br?   r~   r   r2   r0   r   r      s    !
 r2   r   c                        e Zd ZddZd Zd Zy)tetris_datasetNc                 n    t        t        j                  j                  |d            | _        || _        y )Nr   r   r:   s      r0   r=   ztetris_dataset.__init__  s$    277<<56 r2   c                 ,    t        | j                        S r?   r   rA   s    r0   rB   ztetris_dataset.__len__  r   r2   c                    t        j                  | j                  |         }|d   |d   j                         D ci c]  \  }}d|z   | c}}z  }|j                         D ci c]  \  }}d|vs|| }}}|j                         D ci c]+  \  }}|t	        j
                  |d    dz  dz
  ddd	
      d   - }}}|j                         D ]  \  }}d|v s|dz  ||<    |S c c}}w c c}}w c c}}w )Ndistorted_composited
compositedundistorted_segr   r   r   rJ   TrK   r   r   r   r   r   s        r0   r}   ztetris_dataset.__getitem__  s   jjS)* *+5Q]K^KdKdKf,gCAa^A-=a-?,gg#kkm>squA~qs>>didododqr]`]^_`qqwqy{9*PTUVWXXrr ;;= 	0CAaq 1R4%(	0  -h>rs   C(&C.3C.0C4r?   r~   r   r2   r0   r   r     s    !
 r2   r   c                        e Zd ZddZd Zd Zy)oxford_flowers_datasetNc                 l   g | _         g | _        || _        |D ]  }| j                   j                  t        j
                  j                  |dddj                  dgdt        t        |            z
  z        z   t        |      z   dz                | j                  j                  ||dz
     dz
          y )Njpgimage_ 0   rD   r   )	imagestargetsr9   appendr   r   r   r@   str)r;   indexeslabelsr<   r9   ru   s         r0   r=   zoxford_flowers_dataset.__init__  s    " 	3AKKrwwuCAK'@AACFJVS LLq1u 12	3r2   c                 ,    t        | j                        S r?   )r@   r   rA   s    r0   rB   zoxford_flowers_dataset.__len__-  r   r2   c                     t        j                  | j                  |         j                  d      }| j                  |   }| j
                  | j                  |      }||fS )NRGB)r   openr   convertr   r9   )r;   ri   imagetargets       r0   r}   z"oxford_flowers_dataset.__getitem__0  sT    

4;;s+,44U;c">>%NN5)Ef}r2   r?   r~   r   r2   r0   r   r     s    3 r2   r   c                 
   | dk(  rdt        j                  t        j                  |j                  dd      t        j                         g      }t        j                  |dd|      }|S | dk(  rbt        j                  t        j                  |j                  dd      t        j                         g      }t        j                  ||      }|S | d	k(  rVt        j                  t        j                         t        j                         g      }t        j                  |dd|      }|S | d
v r|t        j                  t        j                  d      t        j                  d      t        j                         t        j                         g      }t        j                  ||      }|S | dk(  r|t        j                  t        j                  d      t        j                  d      t        j                         t        j                         g      }t        j                  ||      }|S | dk(  r|t        j                  t        j                  d      t        j                  d      t        j                         t        j                         g      }t        j                  ||      }|S | dk(  rJt        j                  t        j                  d      t        j                         g      }t        ||      }|S d| v rLt        j                  t        j                  d      t        j                         g      }t        ||d      }|S | dk(  rJt        j                  t        j                  d      t        j                         g      }t        ||      }|S | dk(  rJt        j                  t        j                  d      t        j                         g      }t!        ||      }|S | dk(  rt        j                  t        j                  d      t        j                  d      t        j                         t        j                         g      }t"        j$                  j'                  t(        j*                  j-                  |d            }t"        j$                  j'                  t(        j*                  j-                  |d            }|d   d   }t/        t1        j2                  |d   d   |d   d   fd      |||      }|S | dk(  rUt        j                  t        j                  d      t        j                         g      }t        j                  ||      }|S t5        |  d      )a'  
    Return a dataset with the current name. We only support two datasets with
    their fixed image resolutions. One can easily add additional datasets here.

    Note: To avoid learning the distribution of transformed data, don't use heavy
        data augmentation with diffusion models.
    r   )皙?g      ?)r   g333333?)scaleratioT)roottraindownloadr9   r   )r9   r   )
imagenetter   r   J   r   r   r   r    r&   )r   r$   r%   r)   z	setid.matzimagelabels.matr   r   trnidvalid)axisr*   )r   r   r,   )r	   ComposeRandomResizedCropr   ToTensorr   MNISTImageFolderRandomHorizontalFlipCIFAR10Resize
RandomCrop
CenterCropr4   r   r   r   scipyioloadmatr   r   r   r   r   concatenater-   )r.   data_dirr/   transform_train	train_setsplitsr   s          r0   get_datasetr   9  s9    w$,,,,''z ##%	
 NN%	
	d Y 
	$,,,,''z ##%	
 ((%
	F  
	$,,//1##%
 $$%	
	p e 
3	3$,,!!"%%%b)//1##%	
 ((%
	R K 
	$,,!!"%%%b)//1##%	
 ((%
	j c 
$,,!!"%%%b)//1##%	
 ((%
	P I 
	$,,!!"%##%
 %
	z s 
d	$,,
0A0A"0EzGZGZG\._`#XDI	n m 
	$,,!!"%##%
 '
	^ W 
	$,,!!"%##%
 #
	H A 
	$,,!!"%%%b)//1##%	
 !!"'',,x"EF!!"'',,x9J"KL!!$*NNF7OA.w0BC!L	
	(  
$,,!!(+##%
 ((%
	  D6!89::r2   c           
          t        | j                         D ch c]  \  }}|t        d      d  |f c}}      S c c}}w )Nmodule.)r   r   r@   )r`   r   r   s      r0   remove_moduler     s6    qwwyIVa3y>+,a0IJJIs   ;
c                     t        | j                               }d|v r| d   } d|v r| d   } t        | j                               }d|d   v rt        |       } | S )Nmodel
state_dictr   r   )r   keysr   )r`   r   s     r0   fix_legacy_dictr     s\    >D$gJtlO>DDG!Hr2   )'r   numpyr   PILr   r   scipy.ior   easydictr   collectionsr   torch.utils.datar   torchvisionr   r	   matplotlib.pyplotpyplotrW   torch.nn.functionalnn
functionalrZ   r   rT   r   r   r]   r   r1   r4   r   r   r   r   r   r   r   r   r2   r0   <module>r     s    	      # $ ,         qf8w 8r,g ,Z 2W 0W 8cLK
r2   