ó
    ïÂ.j…  ã                  óì   • S r SSKJr  SSKrSSKrSSKJr  SSKrSSKJ	r	  SSK
Jr  SSKJrJr  SSKJrJr  SS	KJr  \" S
5      r\" S5      rSSS jjrS r\S:X  a  \R2                  " \" 5       5        gg)a  Single-pass A-vs-B comparison over BHE_991, with per-page overlays.

Renders GT (green), data-grid approach A (red), anatomy approach B (blue)
on every page and prints per-page accuracy metrics. Use this for the fast
iterate loop before scaling to repeatability runs and more documents.
é    )ÚannotationsN)ÚPath)ÚImage)Úmake_locator)ÚBHE_991_BANDSÚground_truth)Ú
draw_boxesÚrender_page)Úpage_metricszdocuments/BHE_991.pdfzexperiments/que245/renderc              ƒ  óà  #   • [        XX$US9n[        R                  " [        [        5      5      n0 nSS Kn	U H—  n
U	R                  5        n[        U5      SU
 S3-  nXzS-
     R                  SS9R                  [        U5      5        UR                  U[        U
5      I S h  v•N nS S S 5        W Vs/ s H  oîR                  PM     snXŠ'   M™     U$  N0! , (       d  f       N4= fs  snf 7f)N)ÚmodelÚtemperatureÚrowsÚcolsr   Úpú.pngé   éÈ   ©Údpi)r   ÚfitzÚopenÚstrÚPDFÚtempfileÚTemporaryDirectoryr   Ú
get_pixmapÚsaveÚlocateÚregion)Úapproachr   r   Úpagesr   r   ÚlocÚdocÚoutr   r   ÚtmpÚimgÚlocatedÚts                  Ú8/home/mande/repo/quber/experiments/que245/run_compare.pyÚpredictr+      sÏ   é € Ü
�x¸+ÐW[Ñ
\€CÜ
�)Š)”Cœ“HÓ
€CØ
€CÛãˆØ×(Ñ(Ô*¨cÜ�s“)  !  D˜kÑ)ˆCØ�A‘‰J×!Ñ! cÐ!Ð*×/Ñ/´°C³Ô9ØŸJ™J s¬C°Ó3×3ˆG÷ +ñ %,Ó,¢G˜q—(”(¡GÑ,ˆ‹ñ ð €Jñ 4÷ +Õ*üò -ùs=   ‚A
C.ÁACÂ%CÂ&CÂ*C.Â6C)ÃC.ÃCÃ
C&	Ã"C.c               ƒ  óî  #   • [         R                  " 5       n U R                  SSS9  U R                  SSS9  U R                  SSS9  U R                  S[        S	S
9  U R                  S[        SS
9  U R	                  5       nUR
                  S:X  a  S O[        UR
                  5      nSUR                  ;   a  UR                  R                  S5      OUR                  UR                  4u  p4[        [        [        U5      [        U5      S-   5      5      n[        [        [        5      n[        SUR                   SU 35        [!        SUR                  X%UR"                  UR$                  5      I S h  v•N n[!        SUR                  X%UR"                  UR$                  5      I S h  v•N n[        SSS SSS S35        [        S5        / n	U H¦  n
['        Xj   Xz   5      n['        Xj   XŠ   5      n[        U
S S[)        Xj   5      S SUS    SUS   S SUS   S  SUS    SUS   S SUS   S  35        [+        [        U
S!S"9n[-        USXj   S#4S$Xz   S%4S&XŠ   S'4/5      nU	R/                  U5        M¨     [1        S( U	 5       5      n[1        S) U	 5       5      nS*[)        U	5      S+-   S*-  nn[2        R4                  " S,UU-  UU-  4S-5      n[7        U	5       H&  u  nnUR9                  UUU-  U-  UU-  U-  45        M(     UR                  R                  S5      S   n[:        S.U S/UR
                   S0UR"                   S13-  nUR=                  U5        [        S2U 35        g  GNø GNÆ7f)3Nz--modelzclaude-haiku-4-5-20251001)Údefaultz--tempz0.0z--pagesz1-8z--rowsé   )Útyper-   z--colsé   ÚnoneÚ-r   zmodel=z temp=z	data-gridÚanatomyÚ
Úpgz>2z | ÚGTz | A:n iou clip | B:n iou clipz8--------------------------------------------------------ÚpredÚ Úmean_iouz.2fÚmax_top_clip_ptsz+5.0féx   r   )r   é    r   ÚA)éÜ   r   r   ÚB)r   éP   éæ   c              3  ó8   #   • U  H  oR                   v •  M     g 7f©N)Úwidth©Ú.0Úis     r*   Ú	<genexpr>Úmain.<locals>.<genexpr>L   s   é € Ð(šZ˜�GŽGšZùó   ‚c              3  ó8   #   • U  H  oR                   v •  M     g 7frC   )ÚheightrE   s     r*   rH   rI   M   s   é € Ð)šj˜�HŽHšjùrJ   é   é   ÚRGB)éÿ   rP   rP   Úcompare_Ú_tÚ_rr   z
saved )ÚargparseÚArgumentParserÚadd_argumentÚintÚ
parse_argsÚtempÚfloatr"   ÚsplitÚlistÚranger   r   r   Úprintr   r+   r   r   r   Úlenr
   r	   ÚappendÚmaxr   ÚnewÚ	enumerateÚpasteÚRENDERr   )ÚapÚargsrY   ÚaÚbr"   ÚgtÚpaÚpbÚ
sheet_imgsr   ÚmaÚmbÚimÚwÚhr   r   ÚsheetrG   Útagr%   s                         r*   Úmainru   )   sI  é € Ü	×	 Ò	 Ó	"€BØ‡O�O�IÐ'B€OÑCØ‡O�O�H e€OÑ,Ø‡O�O�I u€OÑ-Ø‡O�O�H¤3°€OÑ3Ø‡O�O�H¤3°€OÑ3Ø�=‰=‹?€DØ—9‘9 Ó&‰4¬E°$·)±)Ó,<€DØ$'¨4¯:©:Ó$5ˆ4�:‰:×Ñ˜CÔ ¸D¿J¹JÈÏ
É
Ð;S�D€AÜ””s˜1“vœs 1›v¨™zÓ*Ó+€Eä	”cœ=Ó	)€BÜ	ˆF�4—:‘:�,˜f T FÐ
+Ô,Ü�{ D§J¡J°¸T¿Y¹YÈÏ	É	ÓR×	R€BÜ�y $§*¡*¨d¸4¿9¹9ÀdÇiÁiÓP×	P€Bä	ˆBˆt�Bˆi�s˜4 ˜)Ð#AÐ
BÔCÜ	ˆ(„OØ€JÛˆÜ˜"™% ¡Ó'ˆÜ˜"™% ¡Ó'ˆÜØ�ˆf�Cœ˜B™E›
 2� cØ�&‰zˆl˜!˜B˜z™N¨3Ð/¨q°Ð4FÑ1GÈÐ0NÈcØ�&‰zˆl˜!˜B˜z™N¨3Ð/¨q°Ð4FÑ1GÈÐ0NðPô	
ô
 œ˜a SÑ)ˆÜØØ�B‘E˜;Ð'¨#¨r©u°kÐ)BÀSÈ"É%ÐQ]ÐD^Ð_ó
ˆð 	×Ñ˜"Öñ ô 	Ñ(™ZÓ(Ó(€AÜÑ)™jÓ)Ó)€AØ”S˜“_ qÑ(¨QÑ.ˆ$€DÜ�IŠI�e˜a $™h¨¨D©Ð1°?ÓC€EÜ˜:Ö&‰ˆˆ2Ø�‰�B˜!˜d™( a™¨!¨t©)°q©Ð9Ö:ñ 'à
�*‰*×
Ñ
˜3Ó
 Ñ
"€CÜ
�X˜c˜U " T§Y¡Y K¨r°$·)±)°¸DÐAÑ
A€CØ	‡J�Jˆs„OÜ	ˆH�S�EÐ
Õò= 
SÚ	Pùs%   ‚E5M5Å7M/Å84M5Æ,M2Æ-GM5Í2M5Ú__main__)r.   r0   )r!   r   r   r   )Ú__doc__Ú
__future__r   rT   ÚasyncioÚpathlibr   r   ÚPILr   Úexperiments.que245.approachesr   Úexperiments.que245.gtr   r   Úexperiments.que245.overlayr	   r
   Úexperiments.que245.scorer   r   re   r+   ru   Ú__name__Úrun© ó    r*   Ú<module>r„      sh   ðñõ #ã Û Ý ã Ý å 6ß =ß >Ý 1á
Ð"Ó#€Ù	Ð)Ó	*€öò,ð^ ˆzÓØ‡K‚K‘“Õð rƒ   