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nnet_output_Final.txt
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Namespace(augment=True, batch_size=16, blob_dir='/scratch/lveera2s/cudavision_data/blob/', epochs=300, lr=0.001, seg_dir='/scratch/lveera2s/cudavision_data/segmentation/')
Device used: cuda
Optimizer is done...
[0.06281701 0.00985853 0.00970437] [0.10205843 0.01525297 0.01463292] [0.11011894 0.02529759 0.02232141] [0.10205843 0.01525297 0.01463292] [0.7439229 0.76599646 0.63119987]
**********
[0.92120974 0.93332683 0.60456097] [0.95710165 0.97084932 0.6750779 ]
Epoch[1/300]: Blob training loss: 0.9271845554875344: Segmentation training loss: 49.44364734490713
Epoch[1/300]: Blob validation loss: 0.5851454968963351: Segmentation validation loss: 1.8859899640083313
[0.05142643 0.01015194 0.00791948] [0.09015369 0.01438491 0.0127108 ] [0.09734614 0.02343748 0.02015127] [0.10205843 0.01525297 0.01388888] [0.7439229 0.75483575 0.64310462]
**********
[0.93860228 0.94531207 0.67410599] [0.96151863 0.98089503 0.72519864]
Epoch[2/300]: Blob training loss: 0.42215153098720865: Segmentation training loss: 29.572874267896015
Epoch[2/300]: Blob validation loss: 0.2940608731337956: Segmentation validation loss: 1.2092766066392262
[0.03176329 0.01063192 0.00586831] [0.04349962 0.01335565 0.00909775] [0.04680116 0.02129214 0.014423 ] [0.10825882 0.01711308 0.01574899] [0.73772251 0.76413633 0.6300838 ]
**********
[0.94557047 0.95108796 0.69686143] [0.97004808 0.98036516 0.74885282]
Epoch[3/300]: Blob training loss: 0.21376880592445738: Segmentation training loss: 19.501177032788593
Epoch[3/300]: Blob validation loss: 0.14913591671557652: Segmentation validation loss: 0.7979222039381663
[0.01609029 0.0060745 0.00608498] [0.01699653 0.00700178 0.00599345] [0.01738072 0.00820147 0.00853647] [0.11309513 0.03013391 0.0174851 ] [0.73288621 0.75111551 0.6395084 ]
**********
[0.9466638 0.95683355 0.74294423] [0.97126823 0.97808291 0.82536943]
Epoch[4/300]: Blob training loss: 0.10877312301206835: Segmentation training loss: 13.511744856834412
Epoch[4/300]: Blob validation loss: 0.07691153404968125: Segmentation validation loss: 0.5539193501075109
[0.00871384 0.00949923 0.00528191] [0.00838977 0.00948534 0.00471378] [0.00842066 0.0096902 0.00497016] [0.23530483 0.173983 0.05667158] [0.6106765 0.60726642 0.60032192]
**********
[0.9520508 0.96011126 0.75159966] [0.9627498 0.98527475 0.83296869]
Epoch[5/300]: Blob training loss: 0.0560335030433597: Segmentation training loss: 9.785255670547485
Epoch[5/300]: Blob validation loss: 0.04045813224677529: Segmentation validation loss: 0.39704104512929916
[0.01036656 0.01232054 0.00733808] [0.00956786 0.01174309 0.00704626] [0.00956935 0.011752 0.00708604] [0.7899298 0.69159175 0.37555771] [0.05605153 0.07849696 0.27027508]
**********
[0.95613664 0.96173278 0.75084669] [0.96628594 0.98617722 0.82923026]
Epoch[6/300]: Blob training loss: 0.028956997261104202: Segmentation training loss: 7.647097150484721
Epoch[6/300]: Blob validation loss: 0.020998304199782155: Segmentation validation loss: 0.29828202972809476
[0.0098429 0.00892534 0.00625213] [0.00932391 0.00840257 0.00627435] [0.00932908 0.00843539 0.00631172] [0.7486352 0.43303538 0.33023286] [0.09734614 0.34821403 0.31559993]
**********
[0.95927403 0.9635584 0.75812387] [0.97210216 0.98571617 0.82571691]
Epoch[7/300]: Blob training loss: 0.015624431201938502: Segmentation training loss: 6.186812996864319
Epoch[7/300]: Blob validation loss: 0.01752262192201756: Segmentation validation loss: 0.25003305822610855
[0.0211333 0.02545102 0.01345496] [0.02036449 0.02480811 0.01296092] [0.02038769 0.02495224 0.01297534] [0.64155445 0.53980615 0.57483831] [0.20442689 0.23028256 0.07099448]
**********
[0.95718898 0.96346184 0.76661068] [0.98118914 0.97897823 0.8476924 ]
Epoch[8/300]: Blob training loss: 0.009439016836359329: Segmentation training loss: 5.568682630856832
Epoch[8/300]: Blob validation loss: 0.007012041557269792: Segmentation validation loss: 0.24502254649996758
[0.05259482 0.04224779 0.02529634] [0.05558408 0.04348305 0.02477744] [0.05605527 0.04431118 0.02488694] [0.44655216 0.41765843 0.50390583] [0.39942918 0.35243029 0.14192696]
**********
[0.96058488 0.96483996 0.77005114] [0.97336738 0.98490431 0.84820254]
Epoch[9/300]: Blob training loss: 0.006260150450656248: Segmentation training loss: 5.04591787358125
Epoch[9/300]: Blob validation loss: 0.007953813704218538: Segmentation validation loss: 0.2065143771469593
[0.12497194 0.06837288 0.03798203] [0.21233199 0.07454077 0.03677442] [0.17784198 0.07941921 0.03698401] [0.38113803 0.29427062 0.50601396] [0.4536826 0.4869788 0.15097954]
**********
[0.95711847 0.9630402 0.76418025] [0.98459813 0.97961823 0.8226622 ]
Epoch[10/300]: Blob training loss: 0.00506966862618712: Segmentation training loss: 4.698448916276296
Epoch[10/300]: Blob validation loss: 0.0048279480238090314: Segmentation validation loss: 0.1958974227309227
[0.15533473 0.10832217 0.06846291] [0.23978449 0.15373603 0.07263764] [0.22035119 0.15590826 0.07332763] [0.45070642 0.32936485 0.47315188] [0.38411421 0.44072387 0.18384161]
**********
[0.96185802 0.96441147 0.7678871 ] [0.98086161 0.98348435 0.82050921]
Epoch[11/300]: Blob training loss: 0.004124247103559871: Segmentation training loss: 4.472193335493405
Epoch[11/300]: Blob validation loss: 0.004240737091528163: Segmentation validation loss: 0.19073162724574408
[0.1791528 0.13844779 0.1357968 ] [0.31251055 0.25621234 0.2027334 ] [0.27574274 0.23520638 0.18329093] [0.43545346 0.30753947 0.4448781 ] [0.41052788 0.46254925 0.2009547 ]
**********
[0.9600084 0.96387001 0.77206951] [0.97184952 0.98540024 0.84829307]
Epoch[12/300]: Blob training loss: 0.0037446152580873178: Segmentation training loss: 4.419673507412274
Epoch[12/300]: Blob validation loss: 0.0033071826910600066: Segmentation validation loss: 0.19075010468562445
[0.2016806 0.15513764 0.15007697] [0.36645843 0.28336362 0.28233143] [0.32477487 0.25442698 0.22377854] [0.46546335 0.32676069 0.4559768 ] [0.38051798 0.45448873 0.189856 ]
**********
[0.96464777 0.96491562 0.76937891] [0.9759376 0.98505324 0.8382597 ]
Epoch[13/300]: Blob training loss: 0.003381705310042064: Segmentation training loss: 4.126200556755066
Epoch[13/300]: Blob validation loss: 0.0032649869958515324: Segmentation validation loss: 0.1823676973581314
[0.20449796 0.14231897 0.18510636] [0.42008331 0.34730377 0.42829856] [0.35560574 0.27472109 0.29098348] [0.42280466 0.26760894 0.43061719] [0.42317667 0.51364047 0.2152156 ]
**********
[0.96497856 0.96920497 0.78759338] [0.97996206 0.98459741 0.86201265]
Epoch[14/300]: Blob training loss: 0.0031178155907948223: Segmentation training loss: 3.932622085014979
Epoch[14/300]: Blob validation loss: 0.0037027416401542723: Segmentation validation loss: 0.17395242800315222
[0.22107796 0.15150591 0.17511723] [0.4611099 0.36856662 0.40500461] [0.38854584 0.29251443 0.26926243] [0.45461267 0.29365059 0.44996242] [0.39136867 0.48759883 0.20703109]
**********
[0.96517141 0.9684305 0.77918548] [0.97820324 0.9859997 0.84733642]
Epoch[15/300]: Blob training loss: 0.002878504705053668: Segmentation training loss: 3.912242795030276
Epoch[15/300]: Blob validation loss: 0.00288857852103233: Segmentation validation loss: 0.17697646593054137
[0.23473481 0.15559196 0.21432566] [0.4797411 0.38327665 0.57808997] [0.40310427 0.29676258 0.35700913] [0.45659679 0.29327857 0.43576352] [0.38938454 0.47681015 0.21006927]
**********
[0.96183258 0.96587407 0.76989243] [0.98296586 0.98324828 0.82476383]
Epoch[16/300]: Blob training loss: 0.0027492254379579855: Segmentation training loss: 3.717314307888349
Epoch[16/300]: Blob validation loss: 0.004088371889554851: Segmentation validation loss: 0.17988433440526327
[0.25507079 0.15134852 0.20971192] [0.53728869 0.40746495 0.5383812 ] [0.44626695 0.291096 0.3364705 ] [0.47668606 0.26661688 0.46589742] [0.36929528 0.51463254 0.19109608]
**********
[0.96643882 0.9697154 0.78669012] [0.97672536 0.98736177 0.86044952]
Epoch[17/300]: Blob training loss: 0.002591634450657965: Segmentation training loss: 3.8687625577052436
Epoch[17/300]: Blob validation loss: 0.002751924495290344: Segmentation validation loss: 0.16136958450078964
[0.2400904 0.1846808 0.21375787] [0.48883177 0.43834445 0.56579283] [0.41734126 0.34133401 0.34715732] [0.48263843 0.33606128 0.4688116 ] [0.3633429 0.44518814 0.18818189]
**********
[0.96583999 0.96885974 0.78156357] [0.97705449 0.98733167 0.84693418]
Epoch[18/300]: Blob training loss: 0.0024607548158322987: Segmentation training loss: 3.57836743692557
Epoch[18/300]: Blob validation loss: 0.0025228445218609913: Segmentation validation loss: 0.17063014085094133
[0.26523371 0.18169431 0.19672846] [0.53625176 0.44996422 0.54789083] [0.45347654 0.33722693 0.33002682] [0.491443 0.32948886 0.4544267 ] [0.35453834 0.45176056 0.2025668 ]
**********
[0.96571936 0.96890086 0.78200216] [0.97704854 0.98787809 0.84049346]
Epoch[19/300]: Blob training loss: 0.0023939574780014643: Segmentation training loss: 3.5649132281541824
Epoch[19/300]: Blob validation loss: 0.0024102697969369943: Segmentation validation loss: 0.16838385785619417
[0.24554798 0.17188393 0.22027168] [0.53368716 0.45015466 0.62302184] [0.44374429 0.3307484 0.37015721] [0.48158437 0.31559998 0.45585279] [0.36439697 0.45448873 0.20114071]
**********
[0.96700678 0.96998092 0.78836967] [0.97701249 0.98741925 0.86059127]
Epoch[20/300]: Blob training loss: 0.0022320610617489085: Segmentation training loss: 3.47353865702947
Epoch[20/300]: Blob validation loss: 0.0021818563608186586: Segmentation validation loss: 0.16128838683168092
[0.24368624 0.19507041 0.20262112] [0.53923562 0.48090537 0.53779807] [0.44481607 0.36612697 0.32491563] [0.48499459 0.36755927 0.46924563] [0.36098675 0.41369015 0.18774786]
**********
[0.96659132 0.97073252 0.79078095] [0.97668094 0.98786352 0.86020877]
Epoch[21/300]: Blob training loss: 0.002213267528466381: Segmentation training loss: 3.3115263332923255
Epoch[21/300]: Blob validation loss: 0.0022630316241356056: Segmentation validation loss: 0.16009343415498734
[0.24243352 0.17683421 0.21301192] [0.55690673 0.51769552 0.60976278] [0.45075603 0.35722939 0.36218472] [0.46763349 0.32614065 0.46775754] [0.37834785 0.44394807 0.18923596]
**********
[0.96777392 0.96949891 0.78895284] [0.97808587 0.98773281 0.85422809]
Epoch[22/300]: Blob training loss: 0.002092512070919032: Segmentation training loss: 3.4463619788487754
Epoch[22/300]: Blob validation loss: 0.0018948012730106711: Segmentation validation loss: 0.1547734116514524
[0.26347252 0.18813389 0.22953723] [0.56858827 0.49540601 0.63473498] [0.46491774 0.36744764 0.38459173] [0.50223167 0.34126961 0.47984831] [0.34374966 0.43997981 0.17714519]
**********
[0.96774838 0.97016438 0.78534787] [0.97721233 0.98825343 0.85070808]
Epoch[23/300]: Blob training loss: 0.0020473280815964507: Segmentation training loss: 3.345844363172849
Epoch[23/300]: Blob validation loss: 0.00200395427721863: Segmentation validation loss: 0.1602922057112058
[0.26073154 0.19847268 0.2222136 ] [0.58255154 0.53402736 0.65136353] [0.4708205 0.38767331 0.38653245] [0.48474657 0.35168627 0.46738551] [0.36123477 0.42956315 0.17844728]
**********
[0.96700684 0.96729155 0.78385991] [0.98368243 0.98139764 0.85805923]
Epoch[24/300]: Blob training loss: 0.0019555965203854266: Segmentation training loss: 3.2472876459360123
Epoch[24/300]: Blob validation loss: 0.001985478072172208: Segmentation validation loss: 0.1677178554236889
[0.24400272 0.16892771 0.23454306] [0.56887348 0.49703581 0.63699104] [0.4549723 0.33948387 0.38794614] [0.47774013 0.31001963 0.48505663] [0.3570805 0.47122979 0.17193687]
**********
[0.96232286 0.96848844 0.77069314] [0.97848378 0.98260648 0.86479279]
Epoch[25/300]: Blob training loss: 0.0019129317718289177: Segmentation training loss: 3.2222136706113815
Epoch[25/300]: Blob validation loss: 0.002133494152942495: Segmentation validation loss: 0.15661603336532912
[0.25492021 0.20457461 0.23207548] [0.57527228 0.52423074 0.64424017] [0.46564937 0.37687224 0.39451855] [0.47147773 0.35305036 0.48803282] [0.3745036 0.42819907 0.16896068]
**********
[0.96746615 0.97143712 0.79590119] [0.98197269 0.98568149 0.86573302]
Epoch[26/300]: Blob training loss: 0.001814859359076285: Segmentation training loss: 3.1167332430680594
Epoch[26/300]: Blob validation loss: 0.002017549104667047: Segmentation validation loss: 0.1526428684592247
[0.25071354 0.18283912 0.2241862 ] [0.58143547 0.51247478 0.61006894] [0.46858836 0.35603891 0.37435489] [0.48009628 0.31845216 0.48524264] [0.36588506 0.46279726 0.16059015]
**********
[0.96848319 0.97196549 0.7965922 ] [0.98036485 0.98714129 0.86748454]
Epoch[27/300]: Blob training loss: 0.0018064306281415803: Segmentation training loss: 3.121455818414688
Epoch[27/300]: Blob validation loss: 0.002023518807531911: Segmentation validation loss: 0.16124752163887024
[0.24790579 0.16740792 0.23293324] [0.59765569 0.4954237 0.62793492] [0.47029966 0.34466738 0.39047944] [0.47333785 0.29303055 0.49305513] [0.36148278 0.48821887 0.16393836]
**********
[0.96458892 0.96878506 0.79356612] [0.9867484 0.98088495 0.86722595]
Epoch[28/300]: Blob training loss: 0.0017320366096850869: Segmentation training loss: 3.0655621786912284
Epoch[28/300]: Blob validation loss: 0.0017605729947154898: Segmentation validation loss: 0.15975692123174667
[0.25755408 0.16945173 0.23283019] [0.58773506 0.50977141 0.63005368] [0.47370987 0.3434149 0.38375114] [0.47581801 0.29774285 0.48437459] [0.37016333 0.47234586 0.1614582 ]
**********
[0.96816123 0.97175251 0.79390288] [0.98099286 0.98627167 0.86915189]
Epoch[29/300]: Blob training loss: 0.001678450269199735: Segmentation training loss: 3.0179364134867988
Epoch[29/300]: Blob validation loss: 0.0016891987373431523: Segmentation validation loss: 0.1529185821612676
[0.24876552 0.17637371 0.2164414 ] [0.56894789 0.51731109 0.57817059] [0.45944898 0.35992035 0.35222127] [0.47674806 0.31969224 0.49999957] [0.36923327 0.46155718 0.15699393]
**********
[0.96619772 0.96903088 0.77986935] [0.97907485 0.98669013 0.84261922]
Epoch[30/300]: Blob training loss: 0.001619425480441219: Segmentation training loss: 2.874166563153267
Epoch[30/300]: Blob validation loss: 0.0016348920651667175: Segmentation validation loss: 0.15329058965047201
[0.2530517 0.20094213 0.23647045] [0.60819635 0.5426087 0.64437836] [0.4867927 0.39150516 0.39172661] [0.48927286 0.35664658 0.50607596] [0.35670849 0.42460284 0.15091754]
**********
[0.96927061 0.9713065 0.78569879] [0.98127577 0.98774524 0.84367724]
Epoch[31/300]: Blob training loss: 0.0015927498173640715: Segmentation training loss: 3.088207264741262
Epoch[31/300]: Blob validation loss: 0.0016304003712277683: Segmentation validation loss: 0.15343403071165085
[0.27033877 0.1909045 0.24830325] [0.62041112 0.53117517 0.70173905] [0.50049556 0.37122987 0.43130104] [0.50415379 0.33333311 0.50427785] [0.34182754 0.44791632 0.15271565]
**********
[0.96737592 0.97037132 0.78806083] [0.97454314 0.99065105 0.84322274]
Epoch[32/300]: Blob training loss: 0.0015490401911875712: Segmentation training loss: 2.9868310342232385
Epoch[32/300]: Blob validation loss: 0.0017209931628756401: Segmentation validation loss: 0.15524042149384817
[0.25814665 0.18962447 0.22928175] [0.61290865 0.54307992 0.64490007] [0.48933486 0.37656221 0.39293125] [0.4868547 0.3380454 0.49162904] [0.35912663 0.44320401 0.15420375]
**********
[0.9681953 0.97128236 0.79777709] [0.98131615 0.98691277 0.86108326]
Epoch[33/300]: Blob training loss: 0.0015177395246975776: Segmentation training loss: 2.9220890452464423
Epoch[33/300]: Blob validation loss: 0.0015139960894538533: Segmentation validation loss: 0.14999287327130637
[0.26884308 0.20388535 0.23754434] [0.62096916 0.55921335 0.6623896 ] [0.50080558 0.40106616 0.40359593] [0.49187702 0.36135888 0.49776743] [0.35410432 0.41989054 0.14806536]
**********
[0.96335897 0.96839103 0.79329658] [0.97548785 0.98663524 0.86057731]
Epoch[34/300]: Blob training loss: 0.0014816929166776502: Segmentation training loss: 2.9297948678334556
Epoch[34/300]: Blob validation loss: 0.0014584048247862874: Segmentation validation loss: 0.15058701237042746
[0.27880798 0.201855 0.23305373] [0.64130644 0.54985075 0.65860559] [0.51128425 0.39325366 0.40194662] [0.51103623 0.35106623 0.49696138] [0.33494511 0.43018319 0.16003211]
**********
[0.96947158 0.97229107 0.79644793] [0.98016586 0.98812295 0.86216311]
Epoch[35/300]: Blob training loss: 0.0014627609540259505: Segmentation training loss: 2.8479291448990502
Epoch[35/300]: Blob validation loss: 0.001459761181779738: Segmentation validation loss: 0.15148953720927238
[0.26896913 0.18328191 0.23676273] [0.62667351 0.52166376 0.60014656] [0.50161163 0.35850666 0.38169262] [0.50099159 0.31212776 0.51432248] [0.34498974 0.46912166 0.14267102]
**********
[0.96771291 0.96915681 0.77202675] [0.98114632 0.985503 0.8492627 ]
Epoch[36/300]: Blob training loss: 0.0014384032652254898: Segmentation training loss: 2.8647115329901376
Epoch[36/300]: Blob validation loss: 0.0015658728897549388: Segmentation validation loss: 0.1495456856985887
[0.25848824 0.18518626 0.24890458] [0.61867501 0.53775998 0.67011175] [0.48139836 0.36708801 0.41857607] [0.48772276 0.33122497 0.51376444] [0.34709787 0.43886374 0.14322905]
**********
[0.96775445 0.97190018 0.79580448] [0.97547498 0.98901833 0.86969401]
Epoch[37/300]: Blob training loss: 0.0013952932999224507: Segmentation training loss: 2.8572521060705185
Epoch[37/300]: Blob validation loss: 0.0014655362749527697: Segmentation validation loss: 0.15603202829758325
[0.27764427 0.19849124 0.24241165] [0.63870227 0.54432 0.65891915] [0.51010617 0.38400268 0.41350769] [0.5106642 0.33978151 0.50446386] [0.33531713 0.44146791 0.14136894]
**********
[0.96971888 0.97168418 0.79451399] [0.98021639 0.98823176 0.85682669]
Epoch[38/300]: Blob training loss: 0.001380744276024622: Segmentation training loss: 2.784365991751353
Epoch[38/300]: Blob validation loss: 0.0014595523784269712: Segmentation validation loss: 0.14983273670077324
[0.25878221 0.18599456 0.23819957] [0.62239524 0.54501444 0.70007911] [0.49522523 0.36733602 0.42072494] [0.491505 0.32986088 0.49751942] [0.35447634 0.44022783 0.14831337]
**********
[0.97057654 0.97069581 0.78393678] [0.98208892 0.98873782 0.83345286]
Epoch[39/300]: Blob training loss: 0.0013628691087114462: Segmentation training loss: 2.7632174640893936
Epoch[39/300]: Blob validation loss: 0.001355363565380685: Segmentation validation loss: 0.14824490124980608
[0.26030152 0.18912531 0.24119581] [0.63560208 0.53814441 0.6137378 ] [0.49999953 0.37300318 0.39656292] [0.50024755 0.33345711 0.5194688 ] [0.33457308 0.4477923 0.13752469]
**********
[0.97004293 0.97258237 0.79733951] [0.97799905 0.99021608 0.85389083]
Epoch[40/300]: Blob training loss: 0.0013334457127955866: Segmentation training loss: 2.7939047813415527
Epoch[40/300]: Blob validation loss: 0.0013912383084451513: Segmentation validation loss: 0.14944552133480707
[0.26292486 0.19245895 0.23828071] [0.62785159 0.55016077 0.64434647] [0.49665132 0.38097689 0.40389355] [0.49032692 0.34709798 0.5099822 ] [0.34449371 0.43415144 0.14701129]
**********
[0.9703711 0.97172931 0.79071691] [0.97937771 0.98876436 0.85416004]
Epoch[41/300]: Blob training loss: 0.0013086583594954812: Segmentation training loss: 2.7133209804693856
Epoch[41/300]: Blob validation loss: 0.0013698795228265226: Segmentation validation loss: 0.14730284983913103
[0.2644619 0.18529417 0.22813038] [0.63107579 0.53201842 0.5997763 ] [0.49758138 0.36489307 0.37882095] [0.49187702 0.3237845 0.5083701 ] [0.35410432 0.45746492 0.13746269]
**********
[0.96840055 0.97238039 0.7975295 ] [0.97843889 0.98751034 0.87615931]
Epoch[42/300]: Blob training loss: 0.0013024664684090782: Segmentation training loss: 2.6752447113394737
Epoch[42/300]: Blob validation loss: 0.0013533131471679856: Segmentation validation loss: 0.15025767932335535
[0.26115218 0.18961988 0.24562588] [0.62234564 0.55607594 0.70971807] [0.49906947 0.37394564 0.43206457] [0.50049556 0.33556524 0.50657199] [0.33432507 0.43452347 0.15042151]
**********
[0.96782084 0.96942421 0.77832201] [0.97445771 0.99098135 0.83207247]
Epoch[43/300]: Blob training loss: 0.0012832670612080675: Segmentation training loss: 2.6768727153539658
Epoch[43/300]: Blob validation loss: 0.0013183618540919962: Segmentation validation loss: 0.1561411308745543
[0.27567434 0.19138824 0.22801542] [0.6438486 0.55619995 0.61282191] [0.50880408 0.37729386 0.38417808] [0.50508385 0.33779739 0.50626197] [0.34089748 0.43229133 0.13957082]
**********
[0.97036493 0.9722472 0.79040043] [0.98368544 0.98684753 0.85324771]
Epoch[44/300]: Blob training loss: 0.001258025534232579: Segmentation training loss: 2.6734628280003867
Epoch[44/300]: Blob validation loss: 0.0013035729567664454: Segmentation validation loss: 0.15268366038799286
[0.2795393 0.21133715 0.2447966 ] [0.65042101 0.57542117 0.6930771 ] [0.51723662 0.40683253 0.43058977] [0.51308236 0.37313963 0.50874213] [0.33289898 0.4081098 0.13709067]
**********
[0.96958116 0.97053972 0.78726414] [0.97743383 0.98842203 0.85791475]
Epoch[45/300]: Blob training loss: 0.0012391171684865503: Segmentation training loss: 2.6879649062951407
Epoch[45/300]: Blob validation loss: 0.0013388061273698917: Segmentation validation loss: 0.14838206147154173
[0.26863112 0.20802419 0.24166344] [0.64446863 0.58943405 0.69551917] [0.50638593 0.41256169 0.43261552] [0.50192165 0.38194418 0.50750205] [0.34405968 0.38814453 0.13833074]
**********
[0.96986987 0.97276364 0.79796423] [0.97845529 0.98926984 0.86396799]
Epoch[46/300]: Blob training loss: 0.0012232187312377193: Segmentation training loss: 2.6449345300594964
Epoch[46/300]: Blob validation loss: 0.0013054294866465387: Segmentation validation loss: 0.14991845190525055
[0.27838286 0.21263476 0.23418094] [0.6582335 0.57545837 0.66593446] [0.51959276 0.41173083 0.40964751] [0.51562452 0.37041145 0.51029222] [0.33035682 0.41083797 0.13554057]
**********
[0.96999883 0.97181065 0.79056469] [0.98336211 0.98704112 0.85179994]
Epoch[47/300]: Blob training loss: 0.0012011614078463813: Segmentation training loss: 2.5065144871671996
Epoch[47/300]: Blob validation loss: 0.0012981706559436308: Segmentation validation loss: 0.15572403619686762
[0.28237134 0.20869822 0.25217396] [0.65717944 0.58447374 0.67747073] [0.52244494 0.4048732 0.42194023] [0.51314436 0.37065947 0.52157693] [0.33283698 0.39942925 0.13541656]
**********
[0.97059819 0.9724845 0.79255169] [0.97828651 0.98775911 0.87792177]
Epoch[48/300]: Blob training loss: 0.0011931605318731618: Segmentation training loss: 2.6701520532369614
Epoch[48/300]: Blob validation loss: 0.001237880835625609: Segmentation validation loss: 0.14969292158881822
[0.279826 0.20255939 0.24959111] [0.66548796 0.57405708 0.6698035 ] [0.52368502 0.40462519 0.4221475 ] [0.52306499 0.37041145 0.52145293] [0.32291635 0.41083796 0.13554057]
**********
[0.97135879 0.97262862 0.79341516] [0.98091705 0.98797508 0.86325351]
Epoch[49/300]: Blob training loss: 0.001183014416907549: Segmentation training loss: 2.58964970211188
Epoch[49/300]: Blob validation loss: 0.0012772167233162605: Segmentation validation loss: 0.14842715486884117
[0.28162215 0.2244216 0.25145531] [0.66399987 0.59675052 0.69169797] [0.52455308 0.42682259 0.42690408] [0.5249251 0.39670111 0.52052287] [0.32105623 0.3845483 0.13647063]
**********
[0.97081716 0.97141792 0.7866951 ] [0.98420846 0.98701345 0.84455748]
Epoch[50/300]: Blob training loss: 0.0011717116153563767: Segmentation training loss: 2.5717050855358443
Epoch[50/300]: Blob validation loss: 0.0012068686233500817: Segmentation validation loss: 0.14943518613775572
[0.28725253 0.22529557 0.26396158] [0.66685205 0.59042612 0.70540614] [0.52604117 0.41826606 0.44192674] [0.52436707 0.38702851 0.52455312] [0.32161427 0.39422092 0.13244037]
**********
[0.9708785 0.97338459 0.80035677] [0.97900371 0.98964815 0.86143293]
Epoch[51/300]: Blob training loss: 0.0011578105705413373: Segmentation training loss: 2.581666439771652
Epoch[51/300]: Blob validation loss: 0.0012086857563450135: Segmentation validation loss: 0.1498150390883287
[0.27973286 0.21623185 0.25273337] [0.66232576 0.60798563 0.66563507] [0.52312699 0.42023779 0.42292698] [0.51791866 0.40364556 0.52188695] [0.32806267 0.36644316 0.13510654]
**********
[0.96265912 0.97137918 0.78914213] [0.97628633 0.98573062 0.8703446 ]
Epoch[52/300]: Blob training loss: 0.0011503888634945621: Segmentation training loss: 2.5416863511006036
Epoch[52/300]: Blob validation loss: 0.0012280902121260407: Segmentation validation loss: 0.16693305845061937
[0.27132334 0.21706899 0.24029569] [0.65482329 0.60053276 0.61973624] [0.51308236 0.41590991 0.39954797] [0.50979615 0.38764855 0.51233835] [0.32502448 0.38244017 0.14465514]
**********
[0.96973946 0.97145483 0.7907593 ] [0.98484377 0.98577187 0.85262072]
Epoch[53/300]: Blob training loss: 0.0011312080611422005: Segmentation training loss: 2.518391989171505
Epoch[53/300]: Blob validation loss: 0.0011736617279460742: Segmentation validation loss: 0.15220622469981512
[0.28197569 0.23685557 0.25674256] [0.66486792 0.61308235 0.67986762] [0.52213493 0.43581317 0.42741783] [0.51822868 0.4186505 0.52300302] [0.32775265 0.36259891 0.13399047]
**********
[0.97148472 0.97330674 0.79525967] [0.98386383 0.98571331 0.87871325]
Epoch[54/300]: Blob training loss: 0.0011231115634838772: Segmentation training loss: 2.523071733613809
Epoch[54/300]: Blob validation loss: 0.0012351352904391075: Segmentation validation loss: 0.1521093671520551
[0.27340299 0.22281164 0.25367952] [0.65544333 0.604315 0.7069651 ] [0.51450845 0.4252105 0.43463685] [0.51264833 0.40786182 0.51295839] [0.33333301 0.37338759 0.1328744 ]
**********
[0.97165401 0.9727328 0.79112156] [0.9821891 0.98815599 0.85398731]
Epoch[55/300]: Blob training loss: 0.0011090950192175519: Segmentation training loss: 2.5023725777864456
Epoch[55/300]: Blob validation loss: 0.0012142630848324015: Segmentation validation loss: 0.14802608142296472
[0.27658501 0.21563472 0.23942575] [0.65637338 0.60415379 0.68542317] [0.51469446 0.42688461 0.41776825] [0.51072621 0.40984595 0.51450849] [0.33525513 0.37140347 0.1313243 ]
**********
[0.97090861 0.97100579 0.77958396] [0.98035331 0.98934292 0.83380759]
Epoch[56/300]: Blob training loss: 0.0011081635532240604: Segmentation training loss: 2.5004783297578492
Epoch[56/300]: Blob validation loss: 0.0012054273822633106: Segmentation validation loss: 0.15169666210810342
[0.286309 0.23537575 0.25902781] [0.67125432 0.61665378 0.67874447] [0.52845933 0.44120752 0.42397041] [0.52715724 0.41679039 0.5241191 ] [0.31882409 0.36445903 0.1328744 ]
**********
[0.96963355 0.97189027 0.79153121] [0.97894469 0.98865358 0.85841757]
Epoch[57/300]: Blob training loss: 0.0010959715426409828: Segmentation training loss: 2.4430627524852753
Epoch[57/300]: Blob validation loss: 0.0011675668973198515: Segmentation validation loss: 0.15336934849619865
[0.28327411 0.23137838 0.26045475] [0.67044827 0.6121895 0.71668554] [0.52659921 0.4362472 0.44805096] [0.52380903 0.41307016 0.52294103] [0.3221723 0.36817927 0.13405247]
**********
[0.97117933 0.97231071 0.78974858] [0.98307066 0.98601776 0.86792217]
Epoch[58/300]: Blob training loss: 0.001091344031348066: Segmentation training loss: 2.497472653786341
Epoch[58/300]: Blob validation loss: 0.0011798931296826119: Segmentation validation loss: 0.15137053529421488
[0.28374607 0.22299008 0.25192373] [0.66846415 0.6059271 0.67738393] [0.52901737 0.43773529 0.42038659] [0.52306499 0.40364556 0.52684727] [0.32291635 0.37760387 0.13014623]
**********
[0.97092177 0.97271323 0.79349311] [0.97966902 0.98684602 0.88562625]
Epoch[59/300]: Blob training loss: 0.0010696043510628462: Segmentation training loss: 2.4335819308956466
Epoch[59/300]: Blob validation loss: 0.0011769724223995581: Segmentation validation loss: 0.1536889709532261
[0.28075853 0.2267232 0.2602328 ] [0.67156434 0.61872471 0.74434459] [0.52734325 0.42924076 0.45772888] [0.5249251 0.41790646 0.52287902] [0.32105623 0.35218225 0.13411448]
**********
[0.97102134 0.97215574 0.78969096] [0.9809206 0.9882536 0.85485124]
Epoch[60/300]: Blob training loss: 0.0010803377777266019: Segmentation training loss: 2.4943003530303636
Epoch[60/300]: Blob validation loss: 0.0011649503333804507: Segmentation validation loss: 0.15139032900333405
[0.28540902 0.23348312 0.24920495] [0.6708203 0.6216761 0.67549724] [0.52604117 0.44467973 0.42394739] [0.52399504 0.42559494 0.52678526] [0.32198629 0.35565447 0.13020823]
**********
[0.97126611 0.97207538 0.78631934] [0.98340941 0.98770058 0.84550418]
Epoch[61/300]: Blob training loss: 0.0010689553521458328: Segmentation training loss: 2.4114038944244385
Epoch[61/300]: Blob validation loss: 0.0011398457967776007: Segmentation validation loss: 0.151454608887434
[0.27318464 0.23581251 0.2539562 ] [0.67447853 0.62508631 0.73276581] [0.51829068 0.44542378 0.4581505 ] [0.51674059 0.43055526 0.52300303] [0.31808004 0.35069416 0.13399047]
**********
[0.97134037 0.97300107 0.79339044] [0.98244578 0.9864359 0.87446935]
Epoch[62/300]: Blob training loss: 0.0010652055453206652: Segmentation training loss: 2.3863342329859734
Epoch[62/300]: Blob validation loss: 0.0011645379023061: Segmentation validation loss: 0.15381542344888052
[0.28060822 0.22420555 0.21650695] [0.66443389 0.60685716 0.55193234] [0.51977878 0.43004681 0.33686559] [0.51711261 0.40761381 0.51209034] [0.32886872 0.37363561 0.14490316]
**********
[0.97166907 0.97278405 0.79265058] [0.98418025 0.98499426 0.88119483]
Epoch[63/300]: Blob training loss: 0.0010537529973608452: Segmentation training loss: 2.468534894287586
Epoch[63/300]: Blob validation loss: 0.001181604308796869: Segmentation validation loss: 0.1538219191133976
[0.28065805 0.23380984 0.24027113] [0.66548796 0.61608335 0.66910375] [0.5200888 0.43534195 0.41131631] [0.5200888 0.42398284 0.5145705 ] [0.32589254 0.35726658 0.142423 ]
**********
[0.96955345 0.97035473 0.78098301] [0.9790392 0.98892523 0.838834 ]
Epoch[64/300]: Blob training loss: 0.0010519033884773626: Segmentation training loss: 2.3970714807510376
Epoch[64/300]: Blob validation loss: 0.0011250393754813732: Segmentation validation loss: 0.1572551503777504
[0.2898659 0.23809695 0.24880417] [0.67640065 0.6247391 0.71619305] [0.53062946 0.4456966 0.43331174] [0.53087748 0.42584296 0.51326841] [0.31510386 0.35540646 0.13256438]
**********
[0.97142753 0.97269809 0.78843008] [0.97970469 0.98696404 0.88032372]
Epoch[65/300]: Blob training loss: 0.001021270788863983: Segmentation training loss: 2.2335161293546357
Epoch[65/300]: Blob validation loss: 0.0011137402110588958: Segmentation validation loss: 0.15248136222362518
[0.27235225 0.22178598 0.25537957] [0.67770273 0.61930755 0.68639575] [0.52194891 0.4393102 0.43059243] [0.51934475 0.42671102 0.52523517] [0.31547588 0.3545384 0.13175833]
**********
[0.97167522 0.97293632 0.79078828] [0.98303377 0.98748495 0.85731521]
Epoch[66/300]: Blob training loss: 0.001015296954026724: Segmentation training loss: 2.2155973687767982
Epoch[66/300]: Blob validation loss: 0.001098092280915894: Segmentation validation loss: 0.15382331361373267
[0.27789408 0.23243996 0.24429152] [0.66275979 0.63025744 0.69099289] [0.51810467 0.43825613 0.41923331] [0.51562452 0.42423086 0.51345442] [0.33035682 0.34585785 0.13237837]
**********
[0.97199971 0.97197819 0.78361484] [0.98112991 0.98858903 0.84737909]
Epoch[67/300]: Blob training loss: 0.001049562498984724: Segmentation training loss: 2.525991439819336
Epoch[67/300]: Blob validation loss: 0.0011304751519457482: Segmentation validation loss: 0.1622088464597861
[0.27301305 0.23385508 0.25142681] [0.66573598 0.63185714 0.7133515 ] [0.52070884 0.43855375 0.43886375] [0.51822868 0.42720705 0.5145705 ] [0.32775265 0.34288166 0.14242301]
**********
[0.97112038 0.97271428 0.78219968] [0.9816885 0.9851881 0.88310289]
Epoch[68/300]: Blob training loss: 0.0010277270102398183: Segmentation training loss: 2.42188823223114
Epoch[68/300]: Blob validation loss: 0.0011270056434330485: Segmentation validation loss: 0.1567839023967584
[0.28327972 0.23246717 0.25982659] [0.67689668 0.63704067 0.70689955] [0.53112549 0.44203838 0.43926589] [0.52938938 0.43501954 0.52597921] [0.31659195 0.33506917 0.13101428]
**********
[0.97064487 0.97230332 0.78720225] [0.98056246 0.98670072 0.87104812]
Epoch[69/300]: Blob training loss: 0.0010239835831543104: Segmentation training loss: 2.3581972047686577
Epoch[69/300]: Blob validation loss: 0.001110968095461084: Segmentation validation loss: 0.15963315963745117
[0.28100941 0.24514077 0.25324271] [0.67702069 0.63499455 0.6983005 ] [0.53224156 0.45164899 0.43665641] [0.52988542 0.44618025 0.52542118] [0.31609592 0.33506917 0.13157232]
**********
[0.97101136 0.97282887 0.79075888] [0.98450651 0.98532073 0.87246724]
Epoch[70/300]: Blob training loss: 0.001018745273372072: Segmentation training loss: 2.4132301211357117
Epoch[70/300]: Blob validation loss: 0.0011397075085412887: Segmentation validation loss: 0.156386515746514
[0.27562104 0.24095809 0.26158912] [0.67416851 0.63852877 0.72785333] [0.51711261 0.45338509 0.45457731] [0.51469446 0.44580822 0.52839737] [0.32012617 0.33544119 0.12859613]
**********
[0.97116184 0.97257044 0.78753287] [0.98242985 0.98679912 0.86250702]
Epoch[71/300]: Blob training loss: 0.001009418879642833: Segmentation training loss: 2.3551271681984267
Epoch[71/300]: Blob validation loss: 0.0011040787552095328: Segmentation validation loss: 0.15966771667202315
[0.28651877 0.23417729 0.25032344] [0.67671067 0.63220437 0.72056344] [0.53093948 0.44947885 0.43883009] [0.52790129 0.44171597 0.51841474] [0.31808004 0.33953345 0.12741805]
**********
[0.9709708 0.97194307 0.78700851] [0.98297557 0.98616365 0.86256547]
Epoch[72/300]: Blob training loss: 0.0010091618361124366: Segmentation training loss: 2.3403931533296904
Epoch[72/300]: Blob validation loss: 0.0010939959202438505: Segmentation validation loss: 0.15950758010149002
[0.28715835 0.2332451 0.25863832] [0.67782674 0.62581796 0.70379759] [0.53261359 0.44418371 0.44123584] [0.5295754 0.43179534 0.52219698] [0.31640594 0.34945408 0.13479652]
**********
[0.97081938 0.97156639 0.78251316] [0.9816561 0.98797066 0.84592008]
Epoch[73/300]: Blob training loss: 0.0009996281503507694: Segmentation training loss: 2.330193229019642
Epoch[73/300]: Blob validation loss: 0.001115454749586726: Segmentation validation loss: 0.1583753265440464
[0.28954589 0.24592262 0.21501061] [0.68061691 0.63446132 0.55148769] [0.5344737 0.4534843 0.33494525] [0.5327376 0.44816438 0.52039886] [0.31324374 0.33308505 0.12543393]
**********
[0.97090305 0.97156704 0.78029268] [0.98434995 0.98596446 0.85060747]
Epoch[74/300]: Blob training loss: 0.000996710589910454: Segmentation training loss: 2.2838584209481874
Epoch[74/300]: Blob validation loss: 0.0011121100001868659: Segmentation validation loss: 0.15942920868595442
[0.27638645 0.23594553 0.26243308] [0.68154697 0.62833532 0.72597904] [0.52424306 0.44575861 0.45369508] [0.52232094 0.43625962 0.52523517] [0.31249969 0.3449898 0.13175833]
**********
[0.9709387 0.97212574 0.78328044] [0.97912618 0.98861374 0.85566962]
Epoch[75/300]: Blob training loss: 0.0009695354345933889: Segmentation training loss: 2.1459585751096406
Epoch[75/300]: Blob validation loss: 0.001075778655441744: Segmentation validation loss: 0.15653114517529806
[0.2760338 0.23156688 0.19761609] [0.67075829 0.63995486 0.49142893] [0.52523512 0.44792875 0.29864993] [0.52467709 0.44246001 0.51835273] [0.32130425 0.3276287 0.12748006]
**********
[0.97091199 0.972719 0.78984481] [0.9837392 0.9846157 0.88289537]
Epoch[76/300]: Blob training loss: 0.0010036119323202227: Segmentation training loss: 2.39890960107247
Epoch[76/300]: Blob validation loss: 0.001120814128496152: Segmentation validation loss: 0.15865187843640646
[0.29130847 0.24143614 0.2623744 ] [0.68173298 0.64520039 0.72704551] [0.53558978 0.45119016 0.45162415] [0.53645783 0.44518819 0.52616523] [0.3095235 0.32490053 0.13082827]
**********
[0.97065296 0.97168213 0.78314015] [0.98207829 0.98717091 0.85278902]
Epoch[77/300]: Blob training loss: 0.0009816564379809616: Segmentation training loss: 2.32320823520422
Epoch[77/300]: Blob validation loss: 0.0010802341442156052: Segmentation validation loss: 0.15790781999627748
[0.28827661 0.25154384 0.23063605] [0.68005888 0.64438194 0.61356598] [0.53614781 0.4630205 0.38101413] [0.53794592 0.46304531 0.51574857] [0.30803541 0.3182041 0.13008422]
**********
[0.97198697 0.97244861 0.78601068] [0.98159492 0.98853722 0.84822352]
Epoch[78/300]: Blob training loss: 0.0009878220520589558: Segmentation training loss: 2.2992890973885856
Epoch[78/300]: Blob validation loss: 0.0011052236763394571: Segmentation validation loss: 0.16016112764676413
[0.27875474 0.23038806 0.21733317] [0.67373448 0.64495237 0.58634628] [0.52684722 0.4502601 0.34737082] [0.52752927 0.44109593 0.51171831] [0.31845207 0.32899279 0.13411448]
**********
[0.97113345 0.9723654 0.78811405] [0.98187209 0.98654081 0.86840804]
Epoch[79/300]: Blob training loss: 0.0009803636930132832: Segmentation training loss: 2.279796046515306
Epoch[79/300]: Blob validation loss: 0.0010809673348419545: Segmentation validation loss: 0.16077867150306702
[0.28740554 0.24879824 0.21087177] [0.68111295 0.64360069 0.54045454] [0.53639583 0.46184243 0.33086893] [0.53868997 0.4629213 0.51909678] [0.30729136 0.31832811 0.12673601]
**********
[0.97144464 0.97227233 0.7877791 ] [0.98045886 0.98748419 0.86658724]
Epoch[80/300]: Blob training loss: 0.0009713167279356246: Segmentation training loss: 2.3064801717797914
Epoch[80/300]: Blob validation loss: 0.001116023395471053: Segmentation validation loss: 0.1606730098525683
[0.28504085 0.25499673 0.24596561] [0.67635105 0.64714732 0.72316052] [0.53287401 0.46489303 0.43946784] [0.54092211 0.46676555 0.5161826 ] [0.30505922 0.31448387 0.12965019]
**********
[0.97010276 0.97072377 0.7778662 ] [0.97954789 0.98876641 0.83714768]
Epoch[81/300]: Blob training loss: 0.0009656870898493018: Segmentation training loss: 2.288685403764248
Epoch[81/300]: Blob validation loss: 0.0010900292573274956: Segmentation validation loss: 0.15857632209857306
[0.29087937 0.2379249 0.24497738] [0.68012088 0.63023264 0.70401903] [0.53447371 0.44651506 0.43337198] [0.53645783 0.4343995 0.51531454] [0.3095235 0.34684991 0.13051825]
**********
[0.9698931 0.9719863 0.78065207] [0.97736559 0.98727861 0.87792361]
Epoch[82/300]: Blob training loss: 0.0009610514362347456: Segmentation training loss: 2.2448450103402138
Epoch[82/300]: Blob validation loss: 0.0010918865390565423: Segmentation validation loss: 0.16425112634897232
[0.28404642 0.24697624 0.25339046] [0.67295323 0.64572123 0.71151619] [0.52910417 0.46067677 0.44306408] [0.54042608 0.46713758 0.52523517] [0.30555525 0.31411184 0.13175833]
**********
[0.97123061 0.97168284 0.78139843] [0.97845576 0.98771463 0.86582951]
Epoch[83/300]: Blob training loss: 0.0009582136945496553: Segmentation training loss: 2.2476166437069574
Epoch[83/300]: Blob validation loss: 0.001148762598556156: Segmentation validation loss: 0.1621078041692575
[0.28443875 0.23947018 0.23507792] [0.68235302 0.64784176 0.64972666] [0.5344117 0.45228143 0.40265349] [0.53707787 0.45411675 0.52833536] [0.30890346 0.31597196 0.12865813]
**********
[0.9708853 0.97205369 0.78529867] [0.97769508 0.98858978 0.86491338]
Epoch[84/300]: Blob training loss: 0.000958216196653966: Segmentation training loss: 2.242109850049019
Epoch[84/300]: Blob validation loss: 0.0010834602400704863: Segmentation validation loss: 0.1670872407654921
[0.28808795 0.24814943 0.26392107] [0.68098894 0.64744493 0.71607436] [0.53490773 0.46428539 0.45145408] [0.5375739 0.46825364 0.52765332] [0.30840743 0.31299577 0.12934017]
**********
[0.97185814 0.97278123 0.78419588] [0.98164967 0.98584806 0.88184326]
Epoch[85/300]: Blob training loss: 0.0009537957911439644: Segmentation training loss: 2.2529017155369124
Epoch[85/300]: Blob validation loss: 0.0010487768560692313: Segmentation validation loss: 0.1661476083099842
[0.29066771 0.24434706 0.25334212] [0.68118735 0.65400495 0.72948846] [0.53684226 0.4596227 0.44257158] [0.54340227 0.46701357 0.51605859] [0.30257907 0.30307515 0.1297742 ]
**********
[0.9716791 0.97226467 0.78157703] [0.98046907 0.98766832 0.86059178]
Epoch[86/300]: Blob training loss: 0.0009331296988074025: Segmentation training loss: 2.0743622879187265
Epoch[86/300]: Blob validation loss: 0.0010739177509787538: Segmentation validation loss: 0.16574047754208246
[0.29745004 0.25340915 0.2338435 ] [0.6835311 0.65130158 0.6013335 ] [0.53614781 0.45611327 0.3711378 ] [0.54141814 0.46180524 0.52752931] [0.30456319 0.30828348 0.12946418]
**********
[0.97179484 0.97226642 0.78281392] [0.9821568 0.9867671 0.86149021]
Epoch[87/300]: Blob training loss: 0.000956987973828272: Segmentation training loss: 2.2977499216794968
Epoch[87/300]: Blob validation loss: 0.0010779990774435213: Segmentation validation loss: 0.1633255903919538
[0.28823302 0.25275473 0.25163867] [0.6804309 0.6467009 0.71821615] [0.53385367 0.46550067 0.43766087] [0.53893799 0.47817428 0.51692664] [0.30704335 0.30307515 0.12890615]
**********
[0.97265499 0.97245398 0.78599879] [0.98169044 0.98686453 0.8695798 ]
Epoch[88/300]: Blob training loss: 0.0009407444826156842: Segmentation training loss: 2.2509713172912598
Epoch[88/300]: Blob validation loss: 0.0010663594765078631: Segmentation validation loss: 0.17468049998084703
[0.2815472 0.25429083 0.25650798] [0.6803441 0.657998 0.68421322] [0.5232882 0.4692209 0.43189452] [0.53100149 0.46887368 0.5288314 ] [0.30381914 0.31237573 0.1281621 ]
**********
[0.97070701 0.97146056 0.77857924] [0.97920789 0.98768683 0.85729077]
Epoch[89/300]: Blob training loss: 0.000946237620136691: Segmentation training loss: 2.2574789822101593
Epoch[89/300]: Blob validation loss: 0.0010803874625015027: Segmentation validation loss: 0.16691744575897852
[0.27981302 0.24198103 0.21928393] [0.67356087 0.642187 0.5789439 ] [0.52543354 0.45598927 0.34580212] [0.52876935 0.45994512 0.51971682] [0.31721199 0.3213043 0.12611597]
**********
[0.97129405 0.97244608 0.78491305] [0.97920665 0.98731317 0.87219771]
Epoch[90/300]: Blob training loss: 0.0009400177680702458: Segmentation training loss: 2.2218441665172577
Epoch[90/300]: Blob validation loss: 0.0010617485323954107: Segmentation validation loss: 0.1686643250286579
[0.2930468 0.26353639 0.25799844] [0.67770274 0.64744494 0.68925501] [0.53230358 0.46933252 0.43165004] [0.53620982 0.47718221 0.53007147] [0.30977152 0.30406721 0.12692202]
**********
[0.97172373 0.97264275 0.78365923] [0.98307707 0.98571332 0.87304718]
Epoch[91/300]: Blob training loss: 0.0009392465558683154: Segmentation training loss: 2.2078312834103904
Epoch[91/300]: Blob validation loss: 0.0010627800289685616: Segmentation validation loss: 0.17069988697767258
[0.283479 0.25100715 0.22921556] [0.67658666 0.64892063 0.59520397] [0.52188692 0.45693173 0.3623049 ] [0.53174553 0.47284193 0.51494252] [0.3030751 0.29724678 0.13089027]
**********
[0.97240051 0.97242015 0.77792542] [0.98403941 0.98699988 0.84726294]
Epoch[92/300]: Blob training loss: 0.0009295796185189416: Segmentation training loss: 2.220439443985621
Epoch[92/300]: Blob validation loss: 0.0010475784129950973: Segmentation validation loss: 0.16533887883027396
[0.27871202 0.25207023 0.25265695] [0.67974886 0.64569643 0.73214222] [0.52256896 0.46381416 0.45466234] [0.5296374 0.48425065 0.51754668] [0.30518323 0.29699876 0.12828611]
**********
[0.97193506 0.96906954 0.77208177] [0.98245532 0.98343424 0.86161778]
Epoch[93/300]: Blob training loss: 0.0009308707625509153: Segmentation training loss: 2.1969289034605026
Epoch[93/300]: Blob validation loss: 0.001074332572724892: Segmentation validation loss: 0.1657809466123581
[0.29349852 0.25366781 0.22497793] [0.6803317 0.64887103 0.58012286] [0.53319643 0.4643226 0.35112826] [0.54191417 0.47792626 0.52635124] [0.30406716 0.30332316 0.13064226]
**********
[0.97245076 0.97146594 0.77801611] [0.98317117 0.98708947 0.84759754]
Epoch[94/300]: Blob training loss: 0.0009319134083271661: Segmentation training loss: 2.2223694200317063
Epoch[94/300]: Blob validation loss: 0.0011303323546945606: Segmentation validation loss: 0.1943234677116076
[0.28227939 0.25664592 0.20982422] [0.67610303 0.65985812 0.54796941] [0.53206796 0.47196148 0.33393547] [0.54179017 0.47718221 0.52876939] [0.30419117 0.30406721 0.1282241 ]
**********
[0.97217093 0.97286049 0.7903374 ] [0.98341411 0.98622866 0.86945693]
Epoch[95/300]: Blob training loss: 0.0009278093295750333: Segmentation training loss: 2.183381279309591
Epoch[95/300]: Blob validation loss: 0.0010571087720260646: Segmentation validation loss: 0.17094587286313376
[0.29421407 0.25222038 0.25439786] [0.68408914 0.65722916 0.72782676] [0.53825595 0.4706346 0.44964003] [0.54265823 0.47643817 0.52461513] [0.30332311 0.30481126 0.13237837]
**********
[0.97187781 0.97220268 0.7808977 ] [0.98240648 0.98726844 0.85272544]
Epoch[96/300]: Blob training loss: 0.0009180092608037684: Segmentation training loss: 2.149229350189368
Epoch[96/300]: Blob validation loss: 0.0010451492846533213: Segmentation validation loss: 0.1659290517369906
[0.28302666 0.242698 0.23752091] [0.66841455 0.65236805 0.63184473] [0.52357342 0.45820901 0.39805279] [0.52901736 0.47147785 0.51636861] [0.31696397 0.29861086 0.14062489]
**********
[0.97191643 0.9715032 0.77918241] [0.98280754 0.98651669 0.85369043]
Epoch[97/300]: Blob training loss: 0.0009220409412273043: Segmentation training loss: 2.1997706840435662
Epoch[97/300]: Blob validation loss: 0.0010740127638980215: Segmentation validation loss: 0.16882997130354246
[0.28392847 0.25706121 0.21809531] [0.67894281 0.66194145 0.55798924] [0.52300299 0.47373479 0.34081436] [0.5328616 0.47718221 0.52821136] [0.30195903 0.30406721 0.12878214]
**********
[0.97268936 0.97315326 0.78565531] [0.9820818 0.98642244 0.8771582 ]
Epoch[98/300]: Blob training loss: 0.000917406920127609: Segmentation training loss: 2.1860911721984544
Epoch[98/300]: Blob validation loss: 0.0010447498460139503: Segmentation validation loss: 0.1697904753188292
[0.28416746 0.24857874 0.21545385] [0.66848895 0.64620486 0.55755167] [0.52222174 0.46103639 0.33392838] [0.53211756 0.46850166 0.51432248] [0.31386378 0.31274776 0.13151031]
**********
[0.97143847 0.97168099 0.7789083 ] [0.98386918 0.98531028 0.863655 ]
Epoch[99/300]: Blob training loss: 0.0008975775575909773: Segmentation training loss: 1.9940353234608967
Epoch[99/300]: Blob validation loss: 0.0010878263066323207: Segmentation validation loss: 0.16715732216835022
[0.27983584 0.24203095 0.25015626] [0.66827814 0.65977131 0.72300285] [0.52089485 0.46139601 0.44521295] [0.53025744 0.4644094 0.51543855] [0.31572389 0.30567931 0.14155495]
**********
[0.97252608 0.97262868 0.78676542] [0.98174696 0.98712748 0.86763256]
Epoch[100/300]: Blob training loss: 0.0008985416519037957: Segmentation training loss: 2.0692987963557243
Epoch[100/300]: Blob validation loss: 0.001050795928070632: Segmentation validation loss: 0.18897568931182226
[0.29191723 0.24241929 0.26108452] [0.68061692 0.6579608 0.73753656] [0.53286161 0.46181763 0.45972186] [0.53806993 0.46391337 0.52709529] [0.3079114 0.30617534 0.12989821]
**********
[0.97193339 0.97263898 0.78102537] [0.98242851 0.98604854 0.87026806]
Epoch[101/300]: Blob training loss: 0.000915488977250451: Segmentation training loss: 2.226060842474302
Epoch[101/300]: Blob validation loss: 0.0010387183955615563: Segmentation validation loss: 0.18904955685138702
[0.29383552 0.24807893 0.26193241] [0.68142297 0.65500941 0.7197379 ] [0.53403968 0.45861823 0.44201001] [0.53993005 0.45833302 0.52455312] [0.30605128 0.31175569 0.13244037]
**********
[0.9712635 0.9718724 0.77909837] [0.98206015 0.9855538 0.87328203]
Epoch[102/300]: Blob training loss: 0.0009171929981225871: Segmentation training loss: 2.21535816291968
Epoch[102/300]: Blob validation loss: 0.0010526787802865286: Segmentation validation loss: 0.1781727597117424
[0.28072864 0.24480796 0.24008685] [0.67206038 0.64594444 0.6920133 ] [0.52467709 0.46319412 0.41680276] [0.53174553 0.46775761 0.51581057] [0.3142358 0.3134918 0.13002222]
**********
[0.97055765 0.97168363 0.77333056] [0.98078436 0.98698228 0.85190134]
Epoch[103/300]: Blob training loss: 0.0009107125374565343: Segmentation training loss: 2.1586702093482018
Epoch[103/300]: Blob validation loss: 0.0010400776913489348: Segmentation validation loss: 0.17400173470377922
[0.28819983 0.25218056 0.2509615 ] [0.68067892 0.66180505 0.70874196] [0.53509375 0.47583052 0.43831812] [0.54439433 0.4801584 0.52833536] [0.301587 0.30109102 0.12865813]
**********
[0.97163342 0.97224728 0.78303717] [0.98245856 0.986316 0.86558427]
Epoch[104/300]: Blob training loss: 0.0009003836367838565: Segmentation training loss: 2.14981380601724
Epoch[104/300]: Blob validation loss: 0.0010312991431592742: Segmentation validation loss: 0.17325187971194586
[0.28013274 0.24616716 0.24378826] [0.67125433 0.64696131 0.67972414] [0.52529713 0.46486823 0.42354879] [0.53137351 0.47829828 0.51612059] [0.31460782 0.30295114 0.1297122 ]
**********
[0.97246764 0.97241896 0.78092453] [0.98209065 0.9864862 0.86762432]
Epoch[105/300]: Blob training loss: 0.0009034266319580751: Segmentation training loss: 2.1575832267602286
Epoch[105/300]: Blob validation loss: 0.0010498531877861492: Segmentation validation loss: 0.17426438132921854
[0.28812363 0.2550111 0.24116785] [0.6724944 0.65917608 0.61589379] [0.52467709 0.46163162 0.38065096] [0.52951339 0.46812964 0.51686464] [0.31646794 0.30195908 0.14012886]
**********
[0.97139338 0.97175876 0.77394875] [0.98045689 0.98577046 0.87580858]
Epoch[106/300]: Blob training loss: 0.0008973192456436401: Segmentation training loss: 2.150255295137564
Epoch[106/300]: Blob validation loss: 0.0010251931602223998: Segmentation validation loss: 0.17801697303851446
[0.28460586 0.25228318 0.21752371] [0.68098894 0.65995733 0.56880095] [0.53453571 0.47578091 0.34515286] [0.54030207 0.47978637 0.52740531] [0.30567926 0.30146304 0.12958819]
**********
[0.97183618 0.97237311 0.78408683] [0.98278519 0.98607192 0.86954449]
Epoch[107/300]: Blob training loss: 0.0008934726017484077: Segmentation training loss: 2.126076531906923
Epoch[107/300]: Blob validation loss: 0.001021321693856624: Segmentation validation loss: 0.174350676437219
[0.29469749 0.24835002 0.24038573] [0.68260104 0.66093699 0.63111309] [0.53627182 0.46584789 0.385218 ] [0.54141814 0.47110583 0.52659925] [0.30456319 0.29898289 0.13039424]
**********
[0.97246475 0.9722924 0.77597511] [0.98244327 0.9871042 0.85447675]
Epoch[108/300]: Blob training loss: 0.0008936792572470594: Segmentation training loss: 2.13564720004797
Epoch[108/300]: Blob validation loss: 0.0010082542693929835: Segmentation validation loss: 0.17447693645954132
[0.27866768 0.25315255 0.25980358] [0.681981 0.65534423 0.7396323 ] [0.52461509 0.46778241 0.45951105] [0.5296374 0.46862567 0.52907941] [0.30518323 0.31262375 0.12791409]
**********
[0.96988931 0.97025544 0.7617524 ] [0.98089568 0.98373778 0.87617985]
Epoch[109/300]: Blob training loss: 0.0008883733952240346: Segmentation training loss: 2.1576773871978125
Epoch[109/300]: Blob validation loss: 0.0010256661258782039: Segmentation validation loss: 0.17786274974544844
[0.29386191 0.26004438 0.26309361] [0.68142297 0.65908927 0.72406047] [0.53546578 0.47301554 0.44293475] [0.54030208 0.46986575 0.52808735] [0.30567926 0.31138367 0.12890615]
**********
[0.97222735 0.96953911 0.77263227] [0.9844884 0.98493852 0.84403059]
Epoch[110/300]: Blob training loss: 0.0008908065176057658: Segmentation training loss: 2.1188594748576484
Epoch[110/300]: Blob validation loss: 0.0010456280419713863: Segmentation validation loss: 0.17622902741034827
[0.28465096 0.25240995 0.26254813] [0.67212238 0.64588244 0.73150978] [0.52548314 0.46480623 0.44780471] [0.53472172 0.48139848 0.5146325 ] [0.31125961 0.29985094 0.142361 ]
**********
[0.9724218 0.97237142 0.77944563] [0.98212283 0.98641926 0.86789414]
Epoch[111/300]: Blob training loss: 0.0008919879574491882: Segmentation training loss: 2.158984494705995
Epoch[111/300]: Blob validation loss: 0.001025739135608698: Segmentation validation loss: 0.1773054078221321
[0.29465727 0.26795958 0.24500486] [0.68408913 0.66044096 0.67179472] [0.53664384 0.47504928 0.40543126] [0.54253421 0.48710284 0.51884877] [0.30344712 0.29414658 0.12698403]
**********
[0.97150244 0.97127696 0.78031007] [0.98250199 0.98544106 0.86526624]
Epoch[112/300]: Blob training loss: 0.0008858270375640132: Segmentation training loss: 2.080020253856977
Epoch[112/300]: Blob validation loss: 0.001022018324528333: Segmentation validation loss: 0.17361401642362276
[0.2851892 0.25305315 0.22948595] [0.6724324 0.65462499 0.61760864] [0.52535913 0.47240791 0.37806275] [0.53323363 0.48127447 0.51711266] [0.31274771 0.29997495 0.13988084]
**********
[0.97221136 0.97217983 0.78024565] [0.98255688 0.98554821 0.87392859]
Epoch[113/300]: Blob training loss: 0.0008820332284475504: Segmentation training loss: 2.1095941265424094
Epoch[113/300]: Blob validation loss: 0.0010038143587908486: Segmentation validation loss: 0.17906925827264786
[0.28372272 0.25571354 0.24647736] [0.68483318 0.66169344 0.72745473] [0.53701587 0.47929034 0.44324122] [0.54141814 0.49069907 0.52039886] [0.30456319 0.29055035 0.12543393]
**********
[0.97153703 0.97150852 0.77951386] [0.98341567 0.9853983 0.8634084 ]
Epoch[114/300]: Blob training loss: 0.0008797856683383177: Segmentation training loss: 2.083222880959511
Epoch[114/300]: Blob validation loss: 0.0009951262755272356: Segmentation validation loss: 0.17452347402771315
[0.29422184 0.26193047 0.2701297 ] [0.68291106 0.66065178 0.75982076] [0.5358998 0.47612814 0.47326351] [0.54104612 0.47755424 0.52752931] [0.30493521 0.30369518 0.12946418]
**********
[0.97249811 0.97194969 0.77988674] [0.98291462 0.98628345 0.86287772]
Epoch[115/300]: Blob training loss: 0.0008785470635462168: Segmentation training loss: 2.1068033253153167
Epoch[115/300]: Blob validation loss: 0.0010473079926755634: Segmentation validation loss: 0.18433071672916412
[0.27863001 0.24827792 0.25340759] [0.67032427 0.66406199 0.72163876] [0.52418106 0.46949372 0.44456811] [0.5327376 0.48028241 0.51574857] [0.31324374 0.28980631 0.14124492]
**********
[0.97064366 0.97103398 0.77882231] [0.9856192 0.98508029 0.85056526]
Epoch[116/300]: Blob training loss: 0.0008844030442972879: Segmentation training loss: 2.1009594574570656
Epoch[116/300]: Blob validation loss: 0.0010261785469733045: Segmentation validation loss: 0.17304367696245512
[0.29559995 0.26341809 0.26042877] [0.68408913 0.66308233 0.72647507] [0.53831795 0.4785711 0.4524302 ] [0.54179017 0.48921097 0.52033686] [0.30419117 0.29203845 0.12549593]
**********
[0.97289221 0.9732114 0.78690054] [0.98185275 0.98727723 0.86962915]
Epoch[117/300]: Blob training loss: 0.0008804729477185564: Segmentation training loss: 2.112624041736126
Epoch[117/300]: Blob validation loss: 0.0010560116379998536: Segmentation validation loss: 0.18291960284113884
[0.2886402 0.26083969 0.22911871] [0.67925283 0.66524006 0.5745744 ] [0.53292361 0.48050561 0.3491778 ] [0.54216219 0.48412665 0.52839737] [0.30381914 0.29712277 0.12859613]
**********
[0.9725024 0.97224235 0.77966319] [0.98384647 0.98621381 0.85938304]
Epoch[118/300]: Blob training loss: 0.000880751215442343: Segmentation training loss: 2.0784949362277985
Epoch[118/300]: Blob validation loss: 0.0010144142628026505: Segmentation validation loss: 0.17592025299866995
[0.29479655 0.26608041 0.26511599] [0.68526721 0.66471923 0.73192079] [0.53720188 0.4801708 0.45509815] [0.54253421 0.47891832 0.52994747] [0.30344712 0.3023311 0.12704603]
**********
[0.97114628 0.97201381 0.7800174 ] [0.98315448 0.98510274 0.8710969 ]
Epoch[119/300]: Blob training loss: 0.0008711042138417828: Segmentation training loss: 2.0811909809708595
Epoch[119/300]: Blob validation loss: 0.001010994503823375: Segmentation validation loss: 0.18372404451171556
[0.29539663 0.25513916 0.24254585] [0.68303507 0.66154463 0.67893935] [0.53527977 0.47615294 0.41560167] [0.54327827 0.48635879 0.51878676] [0.30270307 0.29489063 0.12704603]
**********
[0.97090632 0.97155851 0.77676848] [0.98246336 0.98571795 0.86082729]
Epoch[120/300]: Blob training loss: 0.0008742254022322835: Segmentation training loss: 2.0943855022390685
Epoch[120/300]: Blob validation loss: 0.0010171832684482936: Segmentation validation loss: 0.17883634567260742
[0.29321057 0.26689131 0.26508052] [0.68681731 0.66780703 0.73348329] [0.53980604 0.48363062 0.45953585] [0.5469985 0.49107109 0.53069152] [0.29898284 0.29017833 0.12630198]
**********
[0.97262348 0.96932224 0.75964219] [0.98311145 0.98491502 0.84454789]
Epoch[121/300]: Blob training loss: 0.0008689911645109832: Segmentation training loss: 2.064758343001207
Epoch[121/300]: Blob validation loss: 0.001032395817760733: Segmentation validation loss: 0.17951389526327452
[0.29229683 0.26846521 0.25680988] [0.68489519 0.66242509 0.71272084] [0.53788392 0.47822388 0.43817994] [0.54637846 0.48859093 0.52920342] [0.29960288 0.29265849 0.12779008]
**********
[0.97273239 0.97272391 0.78295189] [0.98366089 0.98584048 0.87006528]
Epoch[122/300]: Blob training loss: 0.0008706860030496004: Segmentation training loss: 2.0867682894070945
Epoch[122/300]: Blob validation loss: 0.0010282297554935905: Segmentation validation loss: 0.17847437163194022
[0.28071084 0.24784985 0.25545893] [0.67534658 0.65851884 0.73287476] [0.52721925 0.47173826 0.45305732] [0.53397768 0.47482606 0.52033686] [0.31200366 0.30642336 0.13665664]
**********
[0.97174175 0.97144242 0.7753207 ] [0.98311076 0.9865349 0.85151702]
Epoch[123/300]: Blob training loss: 0.0008520447656862706: Segmentation training loss: 1.9111218998829524
Epoch[123/300]: Blob validation loss: 0.001054961679203968: Segmentation validation loss: 0.17878527690966925
[0.28844551 0.25999593 0.22649579] [0.68601126 0.67084521 0.57643806] [0.53856597 0.48294857 0.35047103] [0.54253421 0.48945898 0.52876939] [0.30344712 0.29179043 0.1282241 ]
**********
[0.9728771 0.97245289 0.78139058] [0.98398002 0.98525526 0.87350438]
Epoch[124/300]: Blob training loss: 0.0008692444318943878: Segmentation training loss: 2.128407051165899
Epoch[124/300]: Blob validation loss: 0.0010186753705576329: Segmentation validation loss: 0.18047009905179343
[0.29323943 0.25619852 0.26783022] [0.68173299 0.65808482 0.72507998] [0.53509375 0.46635633 0.45932504] [0.54439433 0.49367525 0.53093953] [0.301587 0.27641346 0.12605397]
**********
[0.97173201 0.97215946 0.78045534] [0.98363346 0.98515241 0.87124119]
Epoch[125/300]: Blob training loss: 0.0008654775163674843: Segmentation training loss: 2.0816183586915336
Epoch[125/300]: Blob validation loss: 0.0010146702254479308: Segmentation validation loss: 0.18139891574780145
[0.27924552 0.2664659 0.23215402] [0.68638328 0.66231348 0.58059941] [0.52709524 0.47672338 0.35691943] [0.53248958 0.50384389 0.5319316 ] [0.30233105 0.27740552 0.1250619 ]
**********
[0.96465522 0.97141909 0.78060666] [0.97797159 0.98571848 0.86502903]
Epoch[126/300]: Blob training loss: 0.0008651365241883131: Segmentation training loss: 2.1024388944109282
Epoch[126/300]: Blob validation loss: 0.0010124806091577436: Segmentation validation loss: 0.18101485321919122
[0.28983286 0.25876225 0.26892719] [0.6834691 0.66370237 0.75509194] [0.53645783 0.48306018 0.46916595] [0.54637846 0.49057506 0.52870739] [0.29960288 0.29067436 0.12828611]
**********
[0.97196136 0.97233186 0.77968735] [0.98361872 0.98499034 0.87443635]
Epoch[127/300]: Blob training loss: 0.0008620854928314244: Segmentation training loss: 2.064201700190703
Epoch[127/300]: Blob validation loss: 0.0010228360403007606: Segmentation validation loss: 0.18500537052750587
[0.28243887 0.2487192 0.25807403] [0.67578061 0.6690223 0.7449168 ] [0.52504912 0.47328836 0.45030967] [0.53224157 0.48425066 0.51946881] [0.31373977 0.28583806 0.12636399]
**********
[0.97236339 0.97281315 0.77836678] [0.9827653 0.98570052 0.87313928]
Epoch[128/300]: Blob training loss: 0.0008604889755082058: Segmentation training loss: 2.0843398769696555
Epoch[128/300]: Blob validation loss: 0.0010095945283302129: Segmentation validation loss: 0.18999350691835085
[0.28188347 0.25660617 0.26488623] [0.68297307 0.66150743 0.74128338] [0.52362303 0.47671098 0.46169536] [0.53372966 0.48747486 0.53224162] [0.30109097 0.29377456 0.12475188]
**********
[0.97173791 0.97196042 0.78284577] [0.98220623 0.9859407 0.8697598 ]
Epoch[129/300]: Blob training loss: 0.0008607402118492977: Segmentation training loss: 2.090811508397261
Epoch[129/300]: Blob validation loss: 0.0010090808292651282: Segmentation validation loss: 0.19303472712635994
[0.29202488 0.26454986 0.27396295] [0.68557723 0.6753095 0.73924611] [0.53738789 0.48561474 0.46288052] [0.54340227 0.48983101 0.53118755] [0.30257907 0.29141841 0.12580595]
**********
[0.97237144 0.97152551 0.76175872] [0.98163706 0.98576588 0.85948406]
Epoch[130/300]: Blob training loss: 0.0008626757629189314: Segmentation training loss: 2.0744792272647223
Epoch[130/300]: Blob validation loss: 0.0010075108861894392: Segmentation validation loss: 0.1856573484838009
[0.29447739 0.26139267 0.2632404 ] [0.68638328 0.67326337 0.73271443] [0.53782192 0.4865448 0.4586926 ] [0.54675048 0.48970701 0.52920342] [0.29923085 0.29154242 0.12779008]
**********
[0.97253359 0.9720718 0.77129863] [0.98256913 0.98627159 0.85898217]
Epoch[131/300]: Blob training loss: 0.0008598875761309341: Segmentation training loss: 2.057510326306025
Epoch[131/300]: Blob validation loss: 0.0010095710067183799: Segmentation validation loss: 0.18911480779449144
[0.28669474 0.27302589 0.23821076] [0.68241503 0.67611555 0.62739286] [0.52306499 0.48958299 0.38978148] [0.53372966 0.49218716 0.5193448 ] [0.30109097 0.28906226 0.12648799]
**********
[0.97241657 0.97235337 0.78332703] [0.98436096 0.9851899 0.87147367]
Epoch[132/300]: Blob training loss: 0.0008552844716252797: Segmentation training loss: 2.051677162448565
Epoch[132/300]: Blob validation loss: 0.0010301715020822094: Segmentation validation loss: 0.18135870496431986
[0.28532267 0.24784058 0.25523357] [0.67776474 0.67006397 0.74719677] [0.52808731 0.47471445 0.45673327] [0.5359618 0.48276256 0.51977883] [0.31001953 0.28732615 0.12605397]
**********
[0.97287318 0.97206293 0.7785875 ] [0.98319688 0.98640993 0.86042322]
Epoch[133/300]: Blob training loss: 0.0008539468167468512: Segmentation training loss: 2.041211597621441
Epoch[133/300]: Blob validation loss: 0.0010282363391958089: Segmentation validation loss: 0.18005322540799776
[0.28933908 0.26648761 0.27077789] [0.68619727 0.67005157 0.76589715] [0.53726389 0.48632158 0.48127442] [0.54563442 0.49851156 0.53162157] [0.30034692 0.28273786 0.12537192]
**********
[0.97182206 0.97199671 0.78092264] [0.98329456 0.98579169 0.86473622]
Epoch[134/300]: Blob training loss: 0.0008496470846440979: Segmentation training loss: 2.043838048974673
Epoch[134/300]: Blob validation loss: 0.0010188483408585722: Segmentation validation loss: 0.18902755031983057
[0.29005075 0.2483235 0.23628849] [0.6883054 0.6643224 0.5930622] [0.53937202 0.4787571 0.36545117] [0.5471225 0.48363062 0.53149757] [0.29885883 0.2976188 0.12549593]
**********
[0.97197925 0.97176267 0.76038864] [0.98091391 0.98684635 0.85214905]
Epoch[135/300]: Blob training loss: 0.0008514242451673988: Segmentation training loss: 2.030695008734862
Epoch[135/300]: Blob validation loss: 0.001002242111661915: Segmentation validation loss: 0.1826969546576341
[0.27995566 0.26346896 0.26055196] [0.68446116 0.67022518 0.72108693] [0.52511112 0.4849947 0.45110332] [0.53744989 0.50012366 0.5321176 ] [0.29737074 0.28112576 0.12487589]
**********
[0.97113701 0.97050937 0.77509671] [0.98505214 0.9859836 0.83916287]
Epoch[136/300]: Blob training loss: 0.0008443677907427965: Segmentation training loss: 2.0605881412823996
Epoch[136/300]: Blob validation loss: 0.0009779016289983354: Segmentation validation loss: 0.18715368832151094
[0.28917001 0.25142524 0.25342595] [0.68948347 0.66453322 0.67549016] [0.53868997 0.4786207 0.42219711] [0.54600643 0.48288657 0.53273764] [0.2999749 0.28720214 0.12425585]
**********
[0.97243141 0.97255775 0.77849297] [0.98259132 0.98574932 0.87292169]
Epoch[137/300]: Blob training loss: 0.0008433408522588373: Segmentation training loss: 2.048685828844706
Epoch[137/300]: Blob validation loss: 0.0009932502268514196: Segmentation validation loss: 0.18650590255856514
[0.29422324 0.26245795 0.26102159] [0.68960748 0.6769092 0.73785899] [0.5406741 0.48603636 0.46151998] [0.54786655 0.48735085 0.5336057 ] [0.29811478 0.29389856 0.1233878 ]
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[0.97185035 0.97218742 0.78340312] [0.98457168 0.98513794 0.86879315]
Epoch[138/300]: Blob training loss: 0.0008397618910692603: Segmentation training loss: 1.9840608810385068
Epoch[138/300]: Blob validation loss: 0.001000424594080652: Segmentation validation loss: 0.2052868865430355
[0.28908154 0.24534324 0.26242458] [0.68681731 0.66397518 0.74904715] [0.53639583 0.47628935 0.47163547] [0.54489036 0.48102645 0.53279965] [0.30109097 0.30022297 0.12419385]
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[0.97171447 0.9720228 0.77534159] [0.98208495 0.98603101 0.86372835]
Epoch[139/300]: Blob training loss: 0.0008463322744703583: Segmentation training loss: 2.040021595855554
Epoch[139/300]: Blob validation loss: 0.0009947158486327333: Segmentation validation loss: 0.18941618874669075
[0.28526661 0.2613109 0.26734013] [0.68556483 0.67617755 0.74252877] [0.52547074 0.47893072 0.46170599] [0.53670585 0.48772288 0.53379171] [0.29811478 0.28236584 0.12320179]
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[0.97260977 0.97166334 0.77501449] [0.98245617 0.9861312 0.86256291]
Epoch[140/300]: Blob training loss: 0.0008428111799468152: Segmentation training loss: 2.050521912674109
Epoch[140/300]: Blob validation loss: 0.0010229676609881046: Segmentation validation loss: 0.18976068869233131
[0.28306398 0.26406395 0.22248679] [0.67993488 0.66586011 0.59727137] [0.53286161 0.48541634 0.35499731] [0.54079811 0.50260382 0.52151493] [0.30518323 0.2786456 0.12431786]
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[0.97219269 0.97217354 0.7774748 ] [0.98104056 0.98631578 0.87231698]
Epoch[141/300]: Blob training loss: 0.0008394628627881043: Segmentation training loss: 2.0229431415597596
Epoch[141/300]: Blob validation loss: 0.00100214716873043: Segmentation validation loss: 0.18690268322825432
[0.29580237 0.25866131 0.22110322] [0.68737534 0.66052777 0.5738091 ] [0.53769791 0.47651257 0.34975178] [0.54637846 0.48995502 0.5320556 ] [0.29960288 0.2801337 0.1249379 ]
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[0.97229092 0.97166347 0.77900414] [0.98329258 0.98524917 0.87025907]
Epoch[142/300]: Blob training loss: 0.0008388836531312993: Segmentation training loss: 1.9944338475664456
Epoch[142/300]: Blob validation loss: 0.000989971979011205: Segmentation validation loss: 0.18950278187791506
[0.28058481 0.25441894 0.25733407] [0.67609063 0.67020038 0.73996712] [0.52715725 0.47638856 0.45374468] [0.53670585 0.49429529 0.52312704] [0.30927549 0.27579342 0.12270576]
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