Shanshan Wang
commited on
Commit
•
2b1ed69
1
Parent(s):
21fd901
updated app
Browse files- 0926-OCRBench-opensource.csv +957 -0
- app.py +89 -0
- requirements.txt +3 -0
0926-OCRBench-opensource.csv
ADDED
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@@ -0,0 +1,957 @@
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| 1 |
+
Rank,Model,Param (B),Language Model,Vision Model,OCRBench,Text Recognition,Scene Text-centric VQA,Document Oriented VQA,KIE,Handwritten Math Expression Recognition,
|
| 2 |
+
1,InternVL2-Llama3-76B,76,Llama-3-70B-Instruct,InternViT-6B,,,,,,,
|
| 3 |
+
2,InternVL2-40B,40,Nous-Hermes-2-Yi-34B,InternViT-6B,,,,,,,
|
| 4 |
+
3,InternVL2-26B,26,InternLM2-20B,InternViT-6B,,,,,,,
|
| 5 |
+
4,InternVL2-8B,8,InternLM2.5-7B,InternViT-300M,,,,,,,
|
| 6 |
+
,minicpm_v2.6,8,Qwen2-7B,SigLIP-400M,836,259,184,169,182,42,
|
| 7 |
+
,MiniMonkey,2,,,792,250,178,126,171,67,
|
| 8 |
+
7,GLM-4v-9B,9,glm-4-9b,EVA-02-5B,,,,,,,
|
| 9 |
+
8,CogVLM2-19B-Chat,19,Llama-3-8B-Instruct,EVA2-CLIP-E,,,,,,,
|
| 10 |
+
5,InternVL2-4B,4,Phi-3,InternViT-300M,785,236,170,154,158,67,
|
| 11 |
+
10,MiniCPM-Llama3-V2.5,8,Llama-3-8B-Instruct,SigLIP-400M,725,221,171,125,155,53,
|
| 12 |
+
11,InternVL-Chat-V1.5,26,InternLM2-20B,InternViT-6B,722,236,181,149,153,3,
|
| 13 |
+
6,InternVL2-2B,2,InternLM2-1.8B,InternViT-300M,785,246,170,133,167,69,
|
| 14 |
+
,H2OVL-Mississippi-2B,2,H2O-Danube2 1.8B,InternViT-300M-448,782,253,170,140,166,53,
|
| 15 |
+
9,InternVL2-1B,0.8,Qwen2-0.5B,InternViT-300M,755,242,164,127,150,72,
|
| 16 |
+
17,WeMM,7,InternLM2-7B,SigLIP-400M,,,,,,,
|
| 17 |
+
18,IDEFICS2-8B,8,Mistral-7B,SigLIP-400M,,,,,,,
|
| 18 |
+
19,Cambrian-8B,8,Vicuna-v1.5-7B,CLIP ViT-L/14,,,,,,,
|
| 19 |
+
,H2OVL-Mississippi-1B,0.8,H2O-Danube3 0.5B,InternViT-300M-448,751,274,162,112,152,51,
|
| 20 |
+
14,Mini-InternVL-Chat-2B-V1.5,2,InternLM2-1.8B,InternViT-300M,652,222,161,126,139,4,
|
| 21 |
+
15,Mini-InternVL-Chat-4B-V1.5,4,Phi-3,InternViT-300M,640,193,160,146,135,6,
|
| 22 |
+
20,PaliGemma-3B-mix-448,3,Gemma-2B,SigLIP-400M,613,242,165,88,118,0,
|
| 23 |
+
21,MiniCPM-V-2,2.8,MiniCPM-2.4B,SigLIP-400M,596,243,168,100,85,0,
|
| 24 |
+
16,Phi-3-Vision,4.2,Phi-3,CLIP ViT-L/14,640,196,159,137,148,0,
|
| 25 |
+
,Internvl2-26B,26,,,823,251,184,153,168,67,
|
| 26 |
+
,doctr-default,0.05,,,,177,,,,,
|
| 27 |
+
,doctr-v2m(best),0.05,,,,256,,,,,
|
| 28 |
+
,,,,,,,,,,,
|
| 29 |
+
,,,,,,,,,,,
|
| 30 |
+
,,,,,,,,,,,
|
| 31 |
+
,,,,,,,,,,,
|
| 32 |
+
,,,,,,,,,,,
|
| 33 |
+
,,,,,,,,,,,
|
| 34 |
+
,,,,,,,,,,,
|
| 35 |
+
,,,,,,,,,,,
|
| 36 |
+
,,,,,,,,,,,
|
| 37 |
+
,,,,,,,,,,,
|
| 38 |
+
,,,,,,,,,,,
|
| 39 |
+
,,,,,,,,,,,
|
| 40 |
+
,,,,,,,,,,,
|
| 41 |
+
,,,,,,,,,,,
|
| 42 |
+
,,,,,,,,,,,
|
| 43 |
+
,,,,,,,,,,,
|
| 44 |
+
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|
| 45 |
+
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|
| 46 |
+
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|
| 47 |
+
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|
| 48 |
+
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|
| 49 |
+
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|
| 50 |
+
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|
| 51 |
+
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|
| 52 |
+
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|
| 53 |
+
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|
| 54 |
+
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|
| 55 |
+
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|
| 56 |
+
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|
| 57 |
+
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|
| 58 |
+
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|
| 59 |
+
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|
| 60 |
+
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|
| 61 |
+
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|
| 62 |
+
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|
| 63 |
+
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|
| 64 |
+
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|
| 65 |
+
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|
| 66 |
+
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|
| 67 |
+
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|
| 68 |
+
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|
| 69 |
+
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|
| 70 |
+
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|
| 71 |
+
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|
| 72 |
+
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|
| 73 |
+
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+
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+
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|
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+
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+
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+
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|
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+
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+
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+
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|
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+
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+
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+
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|
| 85 |
+
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+
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+
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|
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+
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|
| 89 |
+
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|
| 90 |
+
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|
| 91 |
+
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|
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+
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+
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|
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+
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|
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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|
| 110 |
+
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+
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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|
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+
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|
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+
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+
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|
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+
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+
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|
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+
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+
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|
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+
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|
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+
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|
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+
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|
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+
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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|
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+
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+
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+
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+
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+
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+
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+
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+
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|
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+
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|
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+
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|
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+
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|
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+
,,,,,,,,,,,
|
| 360 |
+
,,,,,,,,,,,
|
| 361 |
+
,,,,,,,,,,,
|
| 362 |
+
,,,,,,,,,,,
|
| 363 |
+
,,,,,,,,,,,
|
| 364 |
+
,,,,,,,,,,,
|
| 365 |
+
,,,,,,,,,,,
|
| 366 |
+
,,,,,,,,,,,
|
| 367 |
+
,,,,,,,,,,,
|
| 368 |
+
,,,,,,,,,,,
|
| 369 |
+
,,,,,,,,,,,
|
| 370 |
+
,,,,,,,,,,,
|
| 371 |
+
,,,,,,,,,,,
|
| 372 |
+
,,,,,,,,,,,
|
| 373 |
+
,,,,,,,,,,,
|
| 374 |
+
,,,,,,,,,,,
|
| 375 |
+
,,,,,,,,,,,
|
| 376 |
+
,,,,,,,,,,,
|
| 377 |
+
,,,,,,,,,,,
|
| 378 |
+
,,,,,,,,,,,
|
| 379 |
+
,,,,,,,,,,,
|
| 380 |
+
,,,,,,,,,,,
|
| 381 |
+
,,,,,,,,,,,
|
| 382 |
+
,,,,,,,,,,,
|
| 383 |
+
,,,,,,,,,,,
|
| 384 |
+
,,,,,,,,,,,
|
| 385 |
+
,,,,,,,,,,,
|
| 386 |
+
,,,,,,,,,,,
|
| 387 |
+
,,,,,,,,,,,
|
| 388 |
+
,,,,,,,,,,,
|
| 389 |
+
,,,,,,,,,,,
|
| 390 |
+
,,,,,,,,,,,
|
| 391 |
+
,,,,,,,,,,,
|
| 392 |
+
,,,,,,,,,,,
|
| 393 |
+
,,,,,,,,,,,
|
| 394 |
+
,,,,,,,,,,,
|
| 395 |
+
,,,,,,,,,,,
|
| 396 |
+
,,,,,,,,,,,
|
| 397 |
+
,,,,,,,,,,,
|
| 398 |
+
,,,,,,,,,,,
|
| 399 |
+
,,,,,,,,,,,
|
| 400 |
+
,,,,,,,,,,,
|
| 401 |
+
,,,,,,,,,,,
|
| 402 |
+
,,,,,,,,,,,
|
| 403 |
+
,,,,,,,,,,,
|
| 404 |
+
,,,,,,,,,,,
|
| 405 |
+
,,,,,,,,,,,
|
| 406 |
+
,,,,,,,,,,,
|
| 407 |
+
,,,,,,,,,,,
|
| 408 |
+
,,,,,,,,,,,
|
| 409 |
+
,,,,,,,,,,,
|
| 410 |
+
,,,,,,,,,,,
|
| 411 |
+
,,,,,,,,,,,
|
| 412 |
+
,,,,,,,,,,,
|
| 413 |
+
,,,,,,,,,,,
|
| 414 |
+
,,,,,,,,,,,
|
| 415 |
+
,,,,,,,,,,,
|
| 416 |
+
,,,,,,,,,,,
|
| 417 |
+
,,,,,,,,,,,
|
| 418 |
+
,,,,,,,,,,,
|
| 419 |
+
,,,,,,,,,,,
|
| 420 |
+
,,,,,,,,,,,
|
| 421 |
+
,,,,,,,,,,,
|
| 422 |
+
,,,,,,,,,,,
|
| 423 |
+
,,,,,,,,,,,
|
| 424 |
+
,,,,,,,,,,,
|
| 425 |
+
,,,,,,,,,,,
|
| 426 |
+
,,,,,,,,,,,
|
| 427 |
+
,,,,,,,,,,,
|
| 428 |
+
,,,,,,,,,,,
|
| 429 |
+
,,,,,,,,,,,
|
| 430 |
+
,,,,,,,,,,,
|
| 431 |
+
,,,,,,,,,,,
|
| 432 |
+
,,,,,,,,,,,
|
| 433 |
+
,,,,,,,,,,,
|
| 434 |
+
,,,,,,,,,,,
|
| 435 |
+
,,,,,,,,,,,
|
| 436 |
+
,,,,,,,,,,,
|
| 437 |
+
,,,,,,,,,,,
|
| 438 |
+
,,,,,,,,,,,
|
| 439 |
+
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|
| 440 |
+
,,,,,,,,,,,
|
| 441 |
+
,,,,,,,,,,,
|
| 442 |
+
,,,,,,,,,,,
|
| 443 |
+
,,,,,,,,,,,
|
| 444 |
+
,,,,,,,,,,,
|
| 445 |
+
,,,,,,,,,,,
|
| 446 |
+
,,,,,,,,,,,
|
| 447 |
+
,,,,,,,,,,,
|
| 448 |
+
,,,,,,,,,,,
|
| 449 |
+
,,,,,,,,,,,
|
| 450 |
+
,,,,,,,,,,,
|
| 451 |
+
,,,,,,,,,,,
|
| 452 |
+
,,,,,,,,,,,
|
| 453 |
+
,,,,,,,,,,,
|
| 454 |
+
,,,,,,,,,,,
|
| 455 |
+
,,,,,,,,,,,
|
| 456 |
+
,,,,,,,,,,,
|
| 457 |
+
,,,,,,,,,,,
|
| 458 |
+
,,,,,,,,,,,
|
| 459 |
+
,,,,,,,,,,,
|
| 460 |
+
,,,,,,,,,,,
|
| 461 |
+
,,,,,,,,,,,
|
| 462 |
+
,,,,,,,,,,,
|
| 463 |
+
,,,,,,,,,,,
|
| 464 |
+
,,,,,,,,,,,
|
| 465 |
+
,,,,,,,,,,,
|
| 466 |
+
,,,,,,,,,,,
|
| 467 |
+
,,,,,,,,,,,
|
| 468 |
+
,,,,,,,,,,,
|
| 469 |
+
,,,,,,,,,,,
|
| 470 |
+
,,,,,,,,,,,
|
| 471 |
+
,,,,,,,,,,,
|
| 472 |
+
,,,,,,,,,,,
|
| 473 |
+
,,,,,,,,,,,
|
| 474 |
+
,,,,,,,,,,,
|
| 475 |
+
,,,,,,,,,,,
|
| 476 |
+
,,,,,,,,,,,
|
| 477 |
+
,,,,,,,,,,,
|
| 478 |
+
,,,,,,,,,,,
|
| 479 |
+
,,,,,,,,,,,
|
| 480 |
+
,,,,,,,,,,,
|
| 481 |
+
,,,,,,,,,,,
|
| 482 |
+
,,,,,,,,,,,
|
| 483 |
+
,,,,,,,,,,,
|
| 484 |
+
,,,,,,,,,,,
|
| 485 |
+
,,,,,,,,,,,
|
| 486 |
+
,,,,,,,,,,,
|
| 487 |
+
,,,,,,,,,,,
|
| 488 |
+
,,,,,,,,,,,
|
| 489 |
+
,,,,,,,,,,,
|
| 490 |
+
,,,,,,,,,,,
|
| 491 |
+
,,,,,,,,,,,
|
| 492 |
+
,,,,,,,,,,,
|
| 493 |
+
,,,,,,,,,,,
|
| 494 |
+
,,,,,,,,,,,
|
| 495 |
+
,,,,,,,,,,,
|
| 496 |
+
,,,,,,,,,,,
|
| 497 |
+
,,,,,,,,,,,
|
| 498 |
+
,,,,,,,,,,,
|
| 499 |
+
,,,,,,,,,,,
|
| 500 |
+
,,,,,,,,,,,
|
| 501 |
+
,,,,,,,,,,,
|
| 502 |
+
,,,,,,,,,,,
|
| 503 |
+
,,,,,,,,,,,
|
| 504 |
+
,,,,,,,,,,,
|
| 505 |
+
,,,,,,,,,,,
|
| 506 |
+
,,,,,,,,,,,
|
| 507 |
+
,,,,,,,,,,,
|
| 508 |
+
,,,,,,,,,,,
|
| 509 |
+
,,,,,,,,,,,
|
| 510 |
+
,,,,,,,,,,,
|
| 511 |
+
,,,,,,,,,,,
|
| 512 |
+
,,,,,,,,,,,
|
| 513 |
+
,,,,,,,,,,,
|
| 514 |
+
,,,,,,,,,,,
|
| 515 |
+
,,,,,,,,,,,
|
| 516 |
+
,,,,,,,,,,,
|
| 517 |
+
,,,,,,,,,,,
|
| 518 |
+
,,,,,,,,,,,
|
| 519 |
+
,,,,,,,,,,,
|
| 520 |
+
,,,,,,,,,,,
|
| 521 |
+
,,,,,,,,,,,
|
| 522 |
+
,,,,,,,,,,,
|
| 523 |
+
,,,,,,,,,,,
|
| 524 |
+
,,,,,,,,,,,
|
| 525 |
+
,,,,,,,,,,,
|
| 526 |
+
,,,,,,,,,,,
|
| 527 |
+
,,,,,,,,,,,
|
| 528 |
+
,,,,,,,,,,,
|
| 529 |
+
,,,,,,,,,,,
|
| 530 |
+
,,,,,,,,,,,
|
| 531 |
+
,,,,,,,,,,,
|
| 532 |
+
,,,,,,,,,,,
|
| 533 |
+
,,,,,,,,,,,
|
| 534 |
+
,,,,,,,,,,,
|
| 535 |
+
,,,,,,,,,,,
|
| 536 |
+
,,,,,,,,,,,
|
| 537 |
+
,,,,,,,,,,,
|
| 538 |
+
,,,,,,,,,,,
|
| 539 |
+
,,,,,,,,,,,
|
| 540 |
+
,,,,,,,,,,,
|
| 541 |
+
,,,,,,,,,,,
|
| 542 |
+
,,,,,,,,,,,
|
| 543 |
+
,,,,,,,,,,,
|
| 544 |
+
,,,,,,,,,,,
|
| 545 |
+
,,,,,,,,,,,
|
| 546 |
+
,,,,,,,,,,,
|
| 547 |
+
,,,,,,,,,,,
|
| 548 |
+
,,,,,,,,,,,
|
| 549 |
+
,,,,,,,,,,,
|
| 550 |
+
,,,,,,,,,,,
|
| 551 |
+
,,,,,,,,,,,
|
| 552 |
+
,,,,,,,,,,,
|
| 553 |
+
,,,,,,,,,,,
|
| 554 |
+
,,,,,,,,,,,
|
| 555 |
+
,,,,,,,,,,,
|
| 556 |
+
,,,,,,,,,,,
|
| 557 |
+
,,,,,,,,,,,
|
| 558 |
+
,,,,,,,,,,,
|
| 559 |
+
,,,,,,,,,,,
|
| 560 |
+
,,,,,,,,,,,
|
| 561 |
+
,,,,,,,,,,,
|
| 562 |
+
,,,,,,,,,,,
|
| 563 |
+
,,,,,,,,,,,
|
| 564 |
+
,,,,,,,,,,,
|
| 565 |
+
,,,,,,,,,,,
|
| 566 |
+
,,,,,,,,,,,
|
| 567 |
+
,,,,,,,,,,,
|
| 568 |
+
,,,,,,,,,,,
|
| 569 |
+
,,,,,,,,,,,
|
| 570 |
+
,,,,,,,,,,,
|
| 571 |
+
,,,,,,,,,,,
|
| 572 |
+
,,,,,,,,,,,
|
| 573 |
+
,,,,,,,,,,,
|
| 574 |
+
,,,,,,,,,,,
|
| 575 |
+
,,,,,,,,,,,
|
| 576 |
+
,,,,,,,,,,,
|
| 577 |
+
,,,,,,,,,,,
|
| 578 |
+
,,,,,,,,,,,
|
| 579 |
+
,,,,,,,,,,,
|
| 580 |
+
,,,,,,,,,,,
|
| 581 |
+
,,,,,,,,,,,
|
| 582 |
+
,,,,,,,,,,,
|
| 583 |
+
,,,,,,,,,,,
|
| 584 |
+
,,,,,,,,,,,
|
| 585 |
+
,,,,,,,,,,,
|
| 586 |
+
,,,,,,,,,,,
|
| 587 |
+
,,,,,,,,,,,
|
| 588 |
+
,,,,,,,,,,,
|
| 589 |
+
,,,,,,,,,,,
|
| 590 |
+
,,,,,,,,,,,
|
| 591 |
+
,,,,,,,,,,,
|
| 592 |
+
,,,,,,,,,,,
|
| 593 |
+
,,,,,,,,,,,
|
| 594 |
+
,,,,,,,,,,,
|
| 595 |
+
,,,,,,,,,,,
|
| 596 |
+
,,,,,,,,,,,
|
| 597 |
+
,,,,,,,,,,,
|
| 598 |
+
,,,,,,,,,,,
|
| 599 |
+
,,,,,,,,,,,
|
| 600 |
+
,,,,,,,,,,,
|
| 601 |
+
,,,,,,,,,,,
|
| 602 |
+
,,,,,,,,,,,
|
| 603 |
+
,,,,,,,,,,,
|
| 604 |
+
,,,,,,,,,,,
|
| 605 |
+
,,,,,,,,,,,
|
| 606 |
+
,,,,,,,,,,,
|
| 607 |
+
,,,,,,,,,,,
|
| 608 |
+
,,,,,,,,,,,
|
| 609 |
+
,,,,,,,,,,,
|
| 610 |
+
,,,,,,,,,,,
|
| 611 |
+
,,,,,,,,,,,
|
| 612 |
+
,,,,,,,,,,,
|
| 613 |
+
,,,,,,,,,,,
|
| 614 |
+
,,,,,,,,,,,
|
| 615 |
+
,,,,,,,,,,,
|
| 616 |
+
,,,,,,,,,,,
|
| 617 |
+
,,,,,,,,,,,
|
| 618 |
+
,,,,,,,,,,,
|
| 619 |
+
,,,,,,,,,,,
|
| 620 |
+
,,,,,,,,,,,
|
| 621 |
+
,,,,,,,,,,,
|
| 622 |
+
,,,,,,,,,,,
|
| 623 |
+
,,,,,,,,,,,
|
| 624 |
+
,,,,,,,,,,,
|
| 625 |
+
,,,,,,,,,,,
|
| 626 |
+
,,,,,,,,,,,
|
| 627 |
+
,,,,,,,,,,,
|
| 628 |
+
,,,,,,,,,,,
|
| 629 |
+
,,,,,,,,,,,
|
| 630 |
+
,,,,,,,,,,,
|
| 631 |
+
,,,,,,,,,,,
|
| 632 |
+
,,,,,,,,,,,
|
| 633 |
+
,,,,,,,,,,,
|
| 634 |
+
,,,,,,,,,,,
|
| 635 |
+
,,,,,,,,,,,
|
| 636 |
+
,,,,,,,,,,,
|
| 637 |
+
,,,,,,,,,,,
|
| 638 |
+
,,,,,,,,,,,
|
| 639 |
+
,,,,,,,,,,,
|
| 640 |
+
,,,,,,,,,,,
|
| 641 |
+
,,,,,,,,,,,
|
| 642 |
+
,,,,,,,,,,,
|
| 643 |
+
,,,,,,,,,,,
|
| 644 |
+
,,,,,,,,,,,
|
| 645 |
+
,,,,,,,,,,,
|
| 646 |
+
,,,,,,,,,,,
|
| 647 |
+
,,,,,,,,,,,
|
| 648 |
+
,,,,,,,,,,,
|
| 649 |
+
,,,,,,,,,,,
|
| 650 |
+
,,,,,,,,,,,
|
| 651 |
+
,,,,,,,,,,,
|
| 652 |
+
,,,,,,,,,,,
|
| 653 |
+
,,,,,,,,,,,
|
| 654 |
+
,,,,,,,,,,,
|
| 655 |
+
,,,,,,,,,,,
|
| 656 |
+
,,,,,,,,,,,
|
| 657 |
+
,,,,,,,,,,,
|
| 658 |
+
,,,,,,,,,,,
|
| 659 |
+
,,,,,,,,,,,
|
| 660 |
+
,,,,,,,,,,,
|
| 661 |
+
,,,,,,,,,,,
|
| 662 |
+
,,,,,,,,,,,
|
| 663 |
+
,,,,,,,,,,,
|
| 664 |
+
,,,,,,,,,,,
|
| 665 |
+
,,,,,,,,,,,
|
| 666 |
+
,,,,,,,,,,,
|
| 667 |
+
,,,,,,,,,,,
|
| 668 |
+
,,,,,,,,,,,
|
| 669 |
+
,,,,,,,,,,,
|
| 670 |
+
,,,,,,,,,,,
|
| 671 |
+
,,,,,,,,,,,
|
| 672 |
+
,,,,,,,,,,,
|
| 673 |
+
,,,,,,,,,,,
|
| 674 |
+
,,,,,,,,,,,
|
| 675 |
+
,,,,,,,,,,,
|
| 676 |
+
,,,,,,,,,,,
|
| 677 |
+
,,,,,,,,,,,
|
| 678 |
+
,,,,,,,,,,,
|
| 679 |
+
,,,,,,,,,,,
|
| 680 |
+
,,,,,,,,,,,
|
| 681 |
+
,,,,,,,,,,,
|
| 682 |
+
,,,,,,,,,,,
|
| 683 |
+
,,,,,,,,,,,
|
| 684 |
+
,,,,,,,,,,,
|
| 685 |
+
,,,,,,,,,,,
|
| 686 |
+
,,,,,,,,,,,
|
| 687 |
+
,,,,,,,,,,,
|
| 688 |
+
,,,,,,,,,,,
|
| 689 |
+
,,,,,,,,,,,
|
| 690 |
+
,,,,,,,,,,,
|
| 691 |
+
,,,,,,,,,,,
|
| 692 |
+
,,,,,,,,,,,
|
| 693 |
+
,,,,,,,,,,,
|
| 694 |
+
,,,,,,,,,,,
|
| 695 |
+
,,,,,,,,,,,
|
| 696 |
+
,,,,,,,,,,,
|
| 697 |
+
,,,,,,,,,,,
|
| 698 |
+
,,,,,,,,,,,
|
| 699 |
+
,,,,,,,,,,,
|
| 700 |
+
,,,,,,,,,,,
|
| 701 |
+
,,,,,,,,,,,
|
| 702 |
+
,,,,,,,,,,,
|
| 703 |
+
,,,,,,,,,,,
|
| 704 |
+
,,,,,,,,,,,
|
| 705 |
+
,,,,,,,,,,,
|
| 706 |
+
,,,,,,,,,,,
|
| 707 |
+
,,,,,,,,,,,
|
| 708 |
+
,,,,,,,,,,,
|
| 709 |
+
,,,,,,,,,,,
|
| 710 |
+
,,,,,,,,,,,
|
| 711 |
+
,,,,,,,,,,,
|
| 712 |
+
,,,,,,,,,,,
|
| 713 |
+
,,,,,,,,,,,
|
| 714 |
+
,,,,,,,,,,,
|
| 715 |
+
,,,,,,,,,,,
|
| 716 |
+
,,,,,,,,,,,
|
| 717 |
+
,,,,,,,,,,,
|
| 718 |
+
,,,,,,,,,,,
|
| 719 |
+
,,,,,,,,,,,
|
| 720 |
+
,,,,,,,,,,,
|
| 721 |
+
,,,,,,,,,,,
|
| 722 |
+
,,,,,,,,,,,
|
| 723 |
+
,,,,,,,,,,,
|
| 724 |
+
,,,,,,,,,,,
|
| 725 |
+
,,,,,,,,,,,
|
| 726 |
+
,,,,,,,,,,,
|
| 727 |
+
,,,,,,,,,,,
|
| 728 |
+
,,,,,,,,,,,
|
| 729 |
+
,,,,,,,,,,,
|
| 730 |
+
,,,,,,,,,,,
|
| 731 |
+
,,,,,,,,,,,
|
| 732 |
+
,,,,,,,,,,,
|
| 733 |
+
,,,,,,,,,,,
|
| 734 |
+
,,,,,,,,,,,
|
| 735 |
+
,,,,,,,,,,,
|
| 736 |
+
,,,,,,,,,,,
|
| 737 |
+
,,,,,,,,,,,
|
| 738 |
+
,,,,,,,,,,,
|
| 739 |
+
,,,,,,,,,,,
|
| 740 |
+
,,,,,,,,,,,
|
| 741 |
+
,,,,,,,,,,,
|
| 742 |
+
,,,,,,,,,,,
|
| 743 |
+
,,,,,,,,,,,
|
| 744 |
+
,,,,,,,,,,,
|
| 745 |
+
,,,,,,,,,,,
|
| 746 |
+
,,,,,,,,,,,
|
| 747 |
+
,,,,,,,,,,,
|
| 748 |
+
,,,,,,,,,,,
|
| 749 |
+
,,,,,,,,,,,
|
| 750 |
+
,,,,,,,,,,,
|
| 751 |
+
,,,,,,,,,,,
|
| 752 |
+
,,,,,,,,,,,
|
| 753 |
+
,,,,,,,,,,,
|
| 754 |
+
,,,,,,,,,,,
|
| 755 |
+
,,,,,,,,,,,
|
| 756 |
+
,,,,,,,,,,,
|
| 757 |
+
,,,,,,,,,,,
|
| 758 |
+
,,,,,,,,,,,
|
| 759 |
+
,,,,,,,,,,,
|
| 760 |
+
,,,,,,,,,,,
|
| 761 |
+
,,,,,,,,,,,
|
| 762 |
+
,,,,,,,,,,,
|
| 763 |
+
,,,,,,,,,,,
|
| 764 |
+
,,,,,,,,,,,
|
| 765 |
+
,,,,,,,,,,,
|
| 766 |
+
,,,,,,,,,,,
|
| 767 |
+
,,,,,,,,,,,
|
| 768 |
+
,,,,,,,,,,,
|
| 769 |
+
,,,,,,,,,,,
|
| 770 |
+
,,,,,,,,,,,
|
| 771 |
+
,,,,,,,,,,,
|
| 772 |
+
,,,,,,,,,,,
|
| 773 |
+
,,,,,,,,,,,
|
| 774 |
+
,,,,,,,,,,,
|
| 775 |
+
,,,,,,,,,,,
|
| 776 |
+
,,,,,,,,,,,
|
| 777 |
+
,,,,,,,,,,,
|
| 778 |
+
,,,,,,,,,,,
|
| 779 |
+
,,,,,,,,,,,
|
| 780 |
+
,,,,,,,,,,,
|
| 781 |
+
,,,,,,,,,,,
|
| 782 |
+
,,,,,,,,,,,
|
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+
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|
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|
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+
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+
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|
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+
,,,,,,,,,,,
|
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+
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+
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|
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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|
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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| 900 |
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| 902 |
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| 906 |
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| 907 |
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|
| 908 |
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|
| 909 |
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|
| 910 |
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|
| 911 |
+
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| 914 |
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| 920 |
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| 922 |
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| 924 |
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| 932 |
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| 933 |
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|
| 934 |
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|
| 935 |
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| 936 |
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| 937 |
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| 938 |
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| 939 |
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| 940 |
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| 941 |
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|
| 942 |
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| 943 |
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| 944 |
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| 945 |
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| 946 |
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| 947 |
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| 948 |
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| 949 |
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| 950 |
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|
| 952 |
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|
| 953 |
+
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|
| 954 |
+
,,,,,,,,,,,
|
| 955 |
+
,doctr-default,,,,,177,,,,,
|
| 956 |
+
,doctr-v2m(best),,,,,256,,,,,
|
| 957 |
+
,,,,,,300 in total,200,200,200,100,total
|
app.py
ADDED
|
@@ -0,0 +1,89 @@
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
|
|
|
|
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|
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|
|
|
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|
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|
|
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|
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|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import pandas as pd
|
| 2 |
+
import plotly.express as px
|
| 3 |
+
import gradio as gr
|
| 4 |
+
|
| 5 |
+
|
| 6 |
+
data_path = '0926-OCRBench-opensource.csv'
|
| 7 |
+
data = pd.read_csv(data_path)
|
| 8 |
+
|
| 9 |
+
# set the data types for the columns
|
| 10 |
+
dtype_dict = {
|
| 11 |
+
"Model": str,
|
| 12 |
+
"Param (B)": float,
|
| 13 |
+
"OCRBench":int,
|
| 14 |
+
"Text Recognition":int,
|
| 15 |
+
"Scene Text-centric VQA":int,
|
| 16 |
+
"Document Oriented VQA":int,
|
| 17 |
+
"KIE":int,
|
| 18 |
+
"Handwritten Math Expression Recognition":int}
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
# preprocess the dataframe
|
| 22 |
+
data_valid = data[:26].copy()
|
| 23 |
+
data_valid = data_valid.astype(dtype_dict)
|
| 24 |
+
data_valid.drop(columns=['Unnamed: 11'], inplace=True)
|
| 25 |
+
|
| 26 |
+
# Add a new column that assigns categories to Model A, Model B, and Model C, and 'Other' to the rest
|
| 27 |
+
def categorize_model(model):
|
| 28 |
+
if model in ["H2OVL-Mississippi-2B", "H2OVL-Mississippi-1B"]:
|
| 29 |
+
return "H2OVLs"
|
| 30 |
+
elif model.startswith("doctr"): # Third group for ocr models
|
| 31 |
+
return "traditional ocr models"
|
| 32 |
+
else:
|
| 33 |
+
return "Other"
|
| 34 |
+
|
| 35 |
+
|
| 36 |
+
# Apply the categorization to create a new column
|
| 37 |
+
data_valid["Category"] = data_valid["Model"].apply(categorize_model)
|
| 38 |
+
|
| 39 |
+
|
| 40 |
+
|
| 41 |
+
# ploting
|
| 42 |
+
def plot_metric(selected_metric):
|
| 43 |
+
filtered_data = data_valid[data_valid[selected_metric] !=0 ]
|
| 44 |
+
|
| 45 |
+
# Create the scatter plot with different colors for "Special" and "Other"
|
| 46 |
+
fig = px.scatter(
|
| 47 |
+
filtered_data,
|
| 48 |
+
x="Param (B)",
|
| 49 |
+
y=selected_metric,
|
| 50 |
+
text="Model",
|
| 51 |
+
color="Category", # Different color for Special and Other categories
|
| 52 |
+
title=f"{selected_metric} vs Model Size"
|
| 53 |
+
)
|
| 54 |
+
|
| 55 |
+
fig.update_traces(marker=dict(size=10), mode='markers+text', textposition="middle right", textfont=dict(size=8))
|
| 56 |
+
# Extend the x-axis range
|
| 57 |
+
max_x_value = filtered_data["Param (B)"].max()
|
| 58 |
+
fig.update_layout(
|
| 59 |
+
xaxis_range=[0, max_x_value + 5], # Extend the x-axis range to give more space for text
|
| 60 |
+
xaxis_title="Model Size (B)",
|
| 61 |
+
yaxis_title=selected_metric,
|
| 62 |
+
showlegend=False,
|
| 63 |
+
margin=dict(t=50, l=50, r=100, b=50), # Increase right margin for more space
|
| 64 |
+
)
|
| 65 |
+
|
| 66 |
+
# Use texttemplate to ensure full model name is displayed
|
| 67 |
+
fig.update_traces(texttemplate='%{text}')
|
| 68 |
+
|
| 69 |
+
return fig
|
| 70 |
+
|
| 71 |
+
# Gradio Blocks Interface
|
| 72 |
+
def create_interface():
|
| 73 |
+
with gr.Blocks() as interface:
|
| 74 |
+
with gr.Row():
|
| 75 |
+
with gr.Column(scale=4): # Column for the plot (takes 4 parts of the total space)
|
| 76 |
+
plot = gr.Plot(value=plot_metric("OCRBench"), label="OCR Benchmark Metrics") # default plot component initially
|
| 77 |
+
with gr.Column(scale=1): # Column for the dropdown (takes 1 part of the total space)
|
| 78 |
+
metrics = list(data_valid.columns[5:-1]) # List of metric columns (excluding 'Model' and 'Parameter Size')
|
| 79 |
+
dropdown = gr.Dropdown(metrics, label="Select Metric", value="OCRBench")
|
| 80 |
+
|
| 81 |
+
# Update the plot when dropdown selection changes
|
| 82 |
+
dropdown.change(fn=plot_metric, inputs=dropdown, outputs=plot)
|
| 83 |
+
|
| 84 |
+
return interface
|
| 85 |
+
|
| 86 |
+
# Launch the interface
|
| 87 |
+
if __name__ == "__main__":
|
| 88 |
+
create_interface().launch()
|
| 89 |
+
|
requirements.txt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
plotly
|
| 2 |
+
gradio
|
| 3 |
+
pandas
|