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20170204-meganeco

ARIYAMA Keiji
February 04, 2017
Technology
2
1.6k

 20170204-meganeco

「TensorFlowで趣味の画像収集サーバーを作る 2017年2月号」
顔領域検出ネットワークを作成し、さくらの高火力サーバー上で動作させました。

ARIYAMA Keiji

February 04, 2017
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Transcript

  1. C-LIS CO., LTD.

  2.  ༗ࢁܓೋʢ,FJKJ"3*:"."ʣ C-LIS CO., LTD. Androidアプリ開発者 機械学習初⼼心者 やってません Photo :

    Koji MORIGUCHI (AUN CREATIVE FIRM) と、⾔言いながら早１年年……

  3. 

  4.  ຊΛग़ͤ͹ ιϑτɾ؀ڥ͕Ξοϓσʔτ͢Δ

  5. None
  6. None
  7. None

  8. C-LIS CO., LTD.  IUUQBN[OUPC,3N 7/29発売

  9. C-LIS CO., LTD.

  10. None

  11. 5FOTPS'MPXͰ
 झຯͷը૾ऩूαʔόʔΛ࡞Δ ೥݄̎߸

  12.  ޷Έͷ؟ڸ່ͬը૾Λ
 ࣗಈͰऩू͍ͨ͠

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  14. 

  15. 

  16. ݱࡏͷߏ੒  Downloader Face Detection Megane Detection API 5FOTPS'MPX 確認・修正

    認識結果 JSON ܇࿅ λΠϜϥΠϯ ϝσΟΞ データセット ܇࿅

  17. C-LIS CO., LTD.  ̎Ϋϥε෼ྨ 1 0

  18.  ؟ڸ່ͬσʔληοτ

  19. ೥݄ ؟ڸ່ͬը૾ຕ ඇ؟ڸ່ͬຕ ܭɿ ຕ  ؟ڸ່ͬ ඇ؟ڸ່ͬ ޡݕग़ ؟ڸ່ͬ

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  20. ೥݄ ؟ڸ່ͬը૾ ຕ ඇ؟ڸ່ͬ ຕ ܭɿ ຕ  ؟ڸ່ͬ ඇ؟ڸ່ͬ

    ෛྫʢإྖҬͰ͸ͳ͍ʣ ຕ

  21.  ϞσϧʢωοτϫʔΫʣ

  22. σʔληοτ࡞੒ʢ5'3FDPSEʣ  is_face: 1 is_megane: 1 is_face: 1 is_megane: 0

    is_face: 0 is_megane: 0 ˜ࠜઇΕ͍

  23. EFG@DPOWFSU@UGSFDPSET QBUI JT@GBDF JT@NFHBOF PVUQVU@EJS 
 IBTI JOEFY PSJHJOBM@GJMF@OBNF 


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 XJUIPQFO QBUI SC BTJNBHF
 PVUQVU@QBUIPTQBUIKPJO PVUQVU@EJS TEUGSFDPSE IBTI JOEFY 
 
 XJUIUGQZUIPO@JP5'3FDPSE8SJUFS PVUQVU@QBUI BTXSJUFS
 FYBNQMFUGUSBJO&YBNQMF GFBUVSFTUGUSBJO'FBUVSFT GFBUVSF\
 GJMF@OBNF@CZUFT@GFBUVSF GJMF@OBNFFODPEF 
 PSJHJOBM@GJMF@OBNF@CZUFT@GFBUVSF PSJHJOBM@GJMF@OBNFFODPEF 
 JT@GBDF@JOU@GFBUVSF JT@GBDF 
 JT@NFHBOF@JOU@GFBUVSF JT@NFHBOF 
 JNBHF@CZUFT@GFBUVSF JNBHFSFBE 
 ^ 
 XSJUFSXSJUF FYBNQMF4FSJBMJ[F5P4USJOH  σʔληοτ࡞੒ʢ5'3FDPSEʣ

  24. إೝࣝ༻ͷϞσϧ  DPO YY DPO YY GD  QPPM Y

    DPO YY DPO YY QPPM Y GD  PVUQVU  MSO MSO Y

  25. SFTIBQFUGSFTIBQF QPPM <CBUDI@TJ[F > 
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  શ݁߹૚΁ͷೖྗ

  26. ܇࿅  12万ステップ学習後のテストデータによる正答率 96%

  27. ؟ڸ່ͬೝࣝ༻ͷϞσϧ 7((/FUΛࢀߟʹ৞ΈࠐΈ૚ͷ࿈ଓΛ༻͍ͨ
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  28. ܇࿅ ֶशΞϧΰϦζϜ"EBN ֶश཰ ϛχόον 

  29. ݕূ σʔληοτ͔ΒΛςετ༻ͱͯ͠෼཭ ਖ਼౴཰ʙ 

  30. %BUB"VHNFOUBUJPO ը૾Λ  ʜ౓·ͰɺͦΕͧΕճసͨ͠ը૾Λ࡞੒ ಡΈࠐΈ࣌ͷॲཧ
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 3BOEPN'MJQʢԣ࣠ํ޲ʹ൓సʣ
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  31. EFG@EJTUPSU JNBHF 
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 CSJHIUOFTT@NBY@EFMUB 
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 EJTUPSUFE@JNBHFUGDBTU JNBHF UGGMPBU 
 
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 EJTUPSUFE@JNBHFUGSBOEPN@DSPQ EJTUPSUFE@JNBHF <DSPQ@TJ[F DSPQ@TJ[F > 
 
 EJTUPSUFE@JNBHFUGJNBHFSBOEPN@GMJQ@MFGU@SJHIU EJTUPSUFE@JNBHF 
 EJTUPSUFE@JNBHFUGJNBHFSBOEPN@GMJQ@VQ@EPXO EJTUPSUFE@JNBHF 
 
 EJTUPSUFE@JNBHFUGJNBHFSBOEPN@CSJHIUOFTT EJTUPSUFE@JNBHF NBY@EFMUBCSJHIUOFTT@NBY@EFMUB 
 EJTUPSUFE@JNBHFUGJNBHFSBOEPN@DPOUSBTU EJTUPSUFE@JNBHF 
 MPXFSDPOUSBTU@MPXFS 
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  32.  ʮީิྖҬʯͷ੾Γग़͕͠ඞཁ

  33. C-LIS CO., LTD.  ˜ࠜઇΕ͍

  34. C-LIS CO., LTD.  ˜ࠜઇΕ͍ 4MJEJOH8JOEPX

  35. C-LIS CO., LTD.  4FMFDUJWF4FBSDI ˜ࠜઇΕ͍

  36. C-LIS CO., LTD. 4FMFDUJWF4FBSDI  ʢҾ༻4FMFDUJWF4FBSDIGPS0CKFDU3FDPHOJUJPOIUUQTJWJGOXJVWBOMJTJTQVCMJDBUJPOTCJCUFYCSPXTFSQIQ LFZ6JKMJOHT*+$7CJCBMMCJCʣ

  37. C-LIS CO., LTD. 4FMFDUJWF4FBSDI "MQBDBࣾʹΑΔ࣮૷
 IUUQCMPHKQBMQBDBBJFOUSZ EMJCͷ࣮૷
 IUUQTHJUIVCDPNEBWJTLJOHEMJCCMPCNBTUFS QZUIPO@FYBNQMFTpOE@DBOEJEBUF@PCKFDU@MPDBUJPOTQZ 

  38. ݱࡏͷߏ੒  Downloader Face Detection Megane Detection API 5FOTPS'MPX 確認・修正

    認識結果 JSON ܇࿅ λΠϜϥΠϯ ϝσΟΞ データセット ܇࿅

  39.  إ൑ఆʢ'BDF%FUFDUJPOʣͷ
 ଎౓Λ্͍͛ͨ

  40.  'BTU3$//  'BTUFS3$//

  41. σʔληοτʢ5'3FDPSEʣ  ˜ࠜઇΕ͍

  42. ΦʔτΤϯίʔμʢࣗݾූ߸ثʣ  DPOW YY DPOW YY DPOW YY DPOW YY

    DPOW YY EDPOW YY EDPOW YY EDPOW YY EFDPOW@MBTU YY EDPOW YY ˜ࠜઇΕ͍

  43. EFG@@WBSJBCMF@PO@DQV OBNF TIBQF JOJUJBMJ[FS 
 XJUIUGEFWJDF DQV 
 WBSUGHFU@WBSJBCMF OBNF

    TIBQF JOJUJBMJ[FSJOJUJBMJ[FS 
 SFUVSOWBS
 
 
 EFG@HFU@XFJHIUT TIBQF TUEEFW 
 WBS@@WBSJBCMF@PO@DQV XFJHIUT TIBQF 
 UGUSVODBUFE@OPSNBM@JOJUJBMJ[FS TUEEFWTUEEFW 
 SFUVSOWBS
 
 
 EFG@HFU@CJBTFT TIBQF WBMVF 
 WBS@@WBSJBCMF@PO@DQV CJBTFT TIBQF 
 UGDPOTUBOU@JOJUJBMJ[FS WBMVF 
 SFUVSOWBS
 

  44. EFG@DPOW OBNF JOQVU@MBZFS XFJHIUT@TIBQF XFJHIU@TUEEFW CJBTFT@TIBQF CJBTFT@WBMVF 
 QBEEJOH7"-*% 


    XJUIUGWBSJBCMF@TDPQF OBNF BTTDPQF
 XFJHIUT@HFU@XFJHIUT XFJHIUT@TIBQF TUEEFWXFJHIU@TUEEFW 
 CJBTFT@HFU@CJBTFT CJBTFT@TIBQF WBMVFCJBTFT@WBMVF 
 DPOWUGOODPOWE JOQVU@MBZFS XFJHIUT <   > QBEEJOHQBEEJOH 
 CJBTUGOOCJBT@BEE DPOW CJBTFT 
 DPOWUGOOSFMV CJBT OBNFTDPQFOBNF 
 @BDUJWBUJPO@TVNNBSZ DPOW 
 SFUVSODPOW
 

  45. EFG@EDPOW OBNF JOQVU@MBZFS PVUQVU@TIBQFT XFJHIUT@TIBQF XFJHIU@TUEEFW CJBTFT@TIBQF 
 CJBTFT@WBMVF 


    QBEEJOH7"-*% 
 BDUJWBUF@GVODUJPOSFMV 
 XJUIUGWBSJBCMF@TDPQF OBNF BTTDPQF
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 CJBTFT@HFU@CJBTFT CJBTFT@TIBQF WBMVFCJBTFT@WBMVF 
 EDPOWUGOODPOWE@USBOTQPTF JOQVU@MBZFS XFJHIUT PVUQVU@TIBQFT <   > 
 QBEEJOHQBEEJOH 
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 @BDUJWBUJPO@TVNNBSZ EDPOW 
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  46. EFGJOGFSFODF JNBHF@OPEF JNBHF@TJ[F DIBOOFMT CBUDI@TJ[F 
 DPOW@DPOW DPOW 
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 XFJHIUT@TIBQF<  DIBOOFMT > XFJHIU@TUEEFWF 
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 DPOW@DPOW DPOW 
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 XFJHIUT@TIBQF<   > XFJHIU@TUEEFWF 
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 DPOW@DPOW DPOW 
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 XFJHIUT@TIBQF<   > XFJHIU@TUEEFWF 
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  47. TIBQFTDPOWHFU@TIBQF 
 EDPOW@EDPOW EFDPOW 
 JOQVU@MBZFSDPOW 
 PVUQVU@TIBQFT<CBUDI@TJ[F JOU TIBQFT<>

    JOU TIBQFT<> > 
 XFJHIUT@TIBQF<   > XFJHIU@TUEEFWF 
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 TIBQFTDPOWHFU@TIBQF 
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 XFJHIUT@TIBQF<   > XFJHIU@TUEEFWF 
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 TIBQFTDPOWHFU@TIBQF 
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 XFJHIUT@TIBQF<   > XFJHIU@TUEEFWF 
 CJBTFT@TIBQF<> CJBTFT@WBMVF QBEEJOH7"-*% 
 

  48. TIBQFTDPOWHFU@TIBQF 
 EDPOW@EDPOW EFDPOW 
 JOQVU@MBZFSEDPOW 
 PVUQVU@TIBQFT<CBUDI@TJ[F JOU TIBQFT<>

    JOU TIBQFT<> > 
 XFJHIUT@TIBQF<   > XFJHIU@TUEEFWF 
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 EDPOW@MBTU@EDPOW EDPOW@MBTU 
 JOQVU@MBZFSEDPOW 
 PVUQVU@TIBQFT<CBUDI@TJ[F JNBHF@TJ[F JNBHF@TJ[F DIBOOFMT> 
 XFJHIUT@TIBQF<  DIBOOFMT > XFJHIU@TUEEFWF 
 CJBTFT@TIBQF<DIBOOFMT> CJBTFT@WBMVF QBEEJOH7"-*% 
 
 SFUVSOEDPOW@MBTU 

  49. σʔληοτʢ5'3FDPSEʣ  ˜ࠜઇΕ͍

  50. EFG@@DPOWFSU@UGSFDPSET JNBHF@QBUI NBTL@QBUI PVUQVU@QBUI 
 GJMF@OBNFPTQBUICBTFOBNF JNBHF@QBUI 
 
 XJUIPQFO

    JNBHF@QBUI SC BTJNBHF
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 NBTL@EBUBJNBHFSFBE 
 
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 FYBNQMFUGUSBJO&YBNQMF GFBUVSFTUGUSBJO'FBUVSFT GFBUVSF\
 GJMF@OBNF@CZUFT@GFBUVSF GJMF@OBNFFODPEF 
 JNBHF@CZUFT@GFBUVSF JNBHF@EBUB 
 NBTL@CZUFT@GFBUVSF NBTL@EBUB 
 ^ 
 XSJUFSXSJUF FYBNQMF4FSJBMJ[F5P4USJOH  σʔληοτʢ5'3FDPSEʣ

  51. EFG@@EJTUPSU JNBHF NBTL@JNBHF 
 CSJHIUOFTT@NBY@EFMUB 
 DPOUSBTU@MPXFS 
 DPOUSBTU@VQQFS 


    XJUIUGOBNF@TDPQF EJTUPSU BTTDPQF
 EJTUPSUFE@JNBHFUGDBTU JNBHF UGGMPBU 
 EJTUPSUFE@JNBHFUGJNBHFSBOEPN@CSJHIUOFTT EJTUPSUFE@JNBHF NBY@EFMUBCSJHIUOFTT@NBY@EFMUB 
 EJTUPSUFE@JNBHFUGJNBHFSBOEPN@DPOUSBTU EJTUPSUFE@JNBHF 
 MPXFSDPOUSBTU@MPXFS 
 VQQFSDPOUSBTU@VQQFS 
  %BUB"VHNFOUBUJPO

  52. %BUB"VHNFOUBUJPO  ˜ࠜઇΕ͍

  53. XJUIUGOBNF@TDPQF SBOEPN@GMJQ@MFGU@SJHIU BTTDPQF
 SBOEPNUGSBOEPN@VOJGPSN   EUZQFUGGMPBU 
 EJTUPSUFE@JNBHFUGDPOE SBOEPN

    
 MBNCEBUGJNBHFGMJQ@MFGU@SJHIU EJTUPSUFE@JNBHF 
 MBNCEBEJTUPSUFE@JNBHF 
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 XJUIUGOBNF@TDPQF SBOEPN@GMJQ@VQ@EPXO BTTDPQF
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 MBNCEBUGJNBHFGMJQ@VQ@EPXO EJTUPSUFE@JNBHF 
 MBNCEBEJTUPSUFE@JNBHF 
 NBTL@JNBHFUGDPOE SBOEPN 
 MBNCEBUGJNBHFGMJQ@VQ@EPXO NBTL@JNBHF 
 MBNCEBNBTL@JNBHF 
 
 SFUVSOEJTUPSUFE@JNBHF NBTL@JNBHF 

  54. JNBHF NBTL@JNBHF@@MPBE@JNBHF GJMF@MJTU 
 JNBHF@TJ[FJNBHF@TJ[F 
 EJTUPSU5SVF 
 TIVGGMF5SVF 


    
 JNBHF@CBUDI MBCFM@CBUDIUGUSBJOTIVGGMF@CBUDI 
 <JNBHF NBTL@JNBHF> 
 CBUDI@TJ[F'-"(4CBUDI@TJ[F 
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 JNBHF@CBUDIJNBHF@CBUDI
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  55. EFG@@MPTT MPHJUT MBCFMT 
 MPTTUGOOM@MPTT MPHJUTMBCFMT '-"(4CBUDI@TJ[F
 UGBEE@UP@DPMMFDUJPO MPTTFT MPTT

    
 
 MPTTFTUGHFU@DPMMFDUJPO MPTTFT 
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  56. ֶशʢ܇࿅ʣ ֶशΞϧΰϦζϜ"EBN0QUJNJ[FS ֶश཰ ϛχόοναΠζ 

  57. ֶशʢ܇࿅ʣ 

  58.  ݕূ

  59.  ˜ࠜઇΕ͍

  60. C-LIS CO., LTD.  4FMFDUJWF4FBSDI MCQDBTDBEF@BOJNFGBDFYNM ˜ࠜઇΕ͍

  61.  ˜ࠜઇΕ͍

  62.  ˜ࠜઇΕ͍

  63.  ͏·͍ͬͨ͘ɻ ͱ͜ΖͰʜʜ

  64. ೥݄೔
 σΟʔϓϥʔχϯάʹΑΔࣗવݴޠॲཧͱνϟοτ#05ͷجૅ  http://ascii.jp/elem/000/001/418/1418261/ ɹߨࢣ͸ɺʰ1ZUIPOͰମݧ͢Δਂ૚ֶशʱʢίϩφࣾʣɺʰσΟʔϓϥʔχϯ άɺϏοάσʔλɺػցֶश͋Δ͍͸ͦͷ৺ཧֶʱʢ৽༵ࣾʣͷஶऀͰ͋Γɺ ਓ޻஌ೳֶձ೥౓ݚڀձ༏ल৆ʢ4*(-4&͜ͱ͹޻ֶݚڀձʮχϡʔϥϧ ωοτϫʔΫ෺ޠੜ੒Ϟσϧʯ୯ஶʣΛड৆ͷઙ઒৳Ұࢯɺʰ5FOTPS'MPX͸ ͡Ί·࣮ͨ͠ફʂ࠷৽(PPHMFϚγϯϥʔχϯάʱʢΠϯϓϨε3%ɾ /FYU1VCMJTIJOHʣͷ༗ࢁܓೋࢯͰ͢ɻ

  65. :0-03FBM5JNF0CKFDU%FUFDUJPO You only look once (YOLO) is a state-of-the-art, real-time

    object detection system. On a Titan X it processes images at 40-90 FPS and has a mAP on VOC 2007 of 78.6% and a mAP of 44.0% on COCO test-dev.  http://pjreddie.com/darknet/yolo/

  66. ୈճશ೴ΞʔΩςΫνϟษڧձ
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    ࢀՃඅɿແྉ ओɹ࠵ɿ/10๏ਓશ೴ΞʔΩςΫνϟɾΠχγΞςΟϒ ޙɹԉɿגࣜձࣾυϫϯΰ  https://wba-meetup.doorkeeper.jp/events/57007/

  67.  ͜ͷํ๏ͷ՝୊

  68. ֶशʹ͕͔͔࣌ؒΔ 

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  71.  ೖྗΛେ͖͘͢Δͱ
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  73.  όοναΠζΛେ͖͘͢Δͱ00.

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  76. ͘͞ΒͷߴՐྗίϯϐϡʔςΟϯά  https://blog.keiji.io/2016/12/tensorflow_advent_calendar.html 「さくらの⾼高⽕火⼒力力」でTensorFlow

  77. τϥΠΞϧ൛ʢ.BYXFMMΞʔΩςΫνϟʣ  https://www.sakura.ad.jp/koukaryoku/ 9FPO$PSFʷ .FNPSZ(# 44%(#ʷ̎ 3"*%  (F'PSDF(595*5"/9ʢ.BYXFMM (SBQIJD.FNPSZ(#ʣʷ̐

  78. +-----------------------------------------------------------------------------+ | NVIDIA-SMI 367.57 Driver Version: 367.57 | |-------------------------------+----------------------+----------------------+ |

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  79. EFG@@MPTT MPHJUT MBCFMT 
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  80. DJGBS@NVMUJ@HQV@USBJOQZCSFBLTXJUINPSFUIBO(16
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  81. EFG@@MPTT MPHJUT MBCFMT 
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  82. +-----------------------------------------------------------------------------+ | NVIDIA-SMI 367.57 Driver Version: 367.57 | |-------------------------------+----------------------+----------------------+ |

    GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 GeForce GTX TIT... Off | 0000:02:00.0 Off | N/A | | 22% 40C P2 100W / 250W | 11688MiB / 12206MiB | 46% Default | +-------------------------------+----------------------+----------------------+ | 1 GeForce GTX TIT... Off | 0000:03:00.0 Off | N/A | | 22% 40C P2 121W / 250W | 11688MiB / 12206MiB | 35% Default | +-------------------------------+----------------------+----------------------+ | 2 GeForce GTX TIT... Off | 0000:83:00.0 Off | N/A | | 22% 38C P2 111W / 250W | 11688MiB / 12206MiB | 24% Default | +-------------------------------+----------------------+----------------------+ | 3 GeForce GTX TIT... Off | 0000:84:00.0 Off | N/A | | 22% 38C P2 132W / 250W | 11687MiB / 12206MiB | 40% Default | +-------------------------------+----------------------+----------------------+  .VMUJ(16ରԠޙͷOWJEJBTNJ

  83. ̍࣌ؒͰ̍ສεςοϓ 

  84. ̐೔Ͱ̒ສ̓ઍεςοϓ 

  85.  ໿Oഒͷεϐʔυʂ

  86.  ೖྗը૾ΛQYʹͯ͠΋
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  87. ࣍ճ༧ࠂ QYͷը૾Ͱֶशʢ܇࿅ʣ͠ɺإྖҬͷݕग़ਫ਼౓ͷมԽΛ֬ೝ͢Δɻ Ϟσϧͷ৞ΈࠐΈ૚ͷϑΟϧλʔαΠζΛௐ੔͢Δ
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  88.  ٕज़ॻయ̎
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  89. C-LIS CO., LTD. ֤੡඼໊ɾϒϥϯυ໊ɺձ໊ࣾͳͲ͸ɺҰൠʹ֤ࣾͷ঎ඪ·ͨ͸ొ࿥঎ඪͰ͢ɻຊࢿྉதͰ͸ɺ˜ɺšɺäΛׂѪ͍ͯ͠·͢ɻ ຊࢿྉ͸ɺ༗ݶձࣾγʔϦεͷஶ࡞෺Ͱ͢ɻܝࡌ͞Ε͍ͯΔΠϥετ͸ɺಛʹهࡌ͕ͳ͍৔߹͸ࠜઇΕ͍ͷஶ࡞෺Ͱ͢ɻ ຊࢿྉͷશ෦ɺ·ͨ͸Ұ෦ʹ͍ͭͯɺஶ࡞ऀ͔ΒจॻʹΑΔڐ୚Λಘͣʹෳ੡͢Δ͜ͱ͸ې͡ΒΕ͍ͯ·͢ɻ