Add baselines/adapt/bayzid-system-2/

baselines/adapt/bayzid-system-2/results.csv

@@ -55,3 +55,81 @@ mitochondria,kasthuri-pp,mtda@e10,10.0,1,10,0.8179366117529392,0.782983836786532
 mitochondria,kasthuri-pp,mtda,10.0,1,15,0.8162848523049216,0.7803199444659836,0.8476743698092118,0.9134782854340804,0.0269804946588852,0.9494326526210303,0.9041470636584762,0.030688736821287987,2614.9,13.49
 mitochondria,lucchi-pp,mtda@e10,10.0,1,10,0.8212021255222612,0.7718594224240988,0.8849639862227155,0.8619830979517811,0.0676814379109171,0.8940821940170339,0.8148660608357368,0.07669976978836533,1731.2,10.14
 mitochondria,lucchi-pp,mtda,10.0,1,15,0.8924870104203408,0.8576462812256338,0.9200967246441929,0.9300217587864871,0.04781496067336484,0.944100878647104,0.8951949349657147,0.05388355608582885,2596.9,10.18
+membrane,katz-lab-berghia-connective,mtda@e10,100.0,2,10,0.3020528117123261,0.20626546259132814,0.7919284601738085,0.2167339106783512,0.6359784206659378,0.25671991285820406,0.1529397479274975,0.636742058434265,329.8,0.47
+membrane,katz-lab-berghia-connective,mtda,100.0,2,15,0.3377355193972076,0.2399279179522155,0.7072058632534771,0.2760362608019093,0.64035079742138,0.2811843449525601,0.17666334922714189,0.6241785714976893,494.6,0.47
+membrane,katz-lab-berghia-connective,mtda@e10,0.0,2,10,0.2613539598094752,0.18527763474710282,0.8670014132311011,0.1998224814936622,0.6600342702117894,0.22937037317790254,0.14978180819427278,0.6426625668243091,237.1,0.49
+membrane,katz-lab-berghia-connective,mtda,0.0,2,15,0.23416119819656459,0.16799201560606217,0.8606141771050724,0.17975514808824017,0.6295373184384877,0.20470891160110258,0.1286963460797974,0.6243550413152845,355.6,0.47
+membrane,katz-lab-berghia-connective,mldb@e10,0.0,2,10,0.393480914431369,0.31464074492585037,0.39836059517080885,0.4420952736188184,0.7897575064801928,0.31747232680314924,0.22455418717499065,0.8782288393828805,328.8,0.48
+membrane,katz-lab-berghia-connective,mldb,0.0,2,15,0.3846224411464948,0.31086222962071797,0.42255257942518004,0.43504226406695284,0.7370761434834066,0.29295733570558125,0.20905654217837816,0.8405253983044689,493.2,0.48
+mitochondria,fly-brain-mito-benchmark,mtda@e10,100.0,2,10,0.9004701010715062,0.8213043169032149,0.9539906434503631,0.8540319463382394,0.1711846859355457,0.9004701010715062,0.8213043169032149,0.1711846859355457,98.6,1.73
+mitochondria,fly-brain-mito-benchmark,mtda,100.0,2,15,0.9118979050359739,0.8400440818415056,0.9581017777369061,0.8712607979423401,0.15638674641859968,0.9118979050359739,0.8400440818415056,0.15638674641859968,147.9,0.52
+mitochondria,fly-brain-mito-benchmark,mtda@e10,0.0,2,10,0.012748618726178332,0.006394805495003872,0.0141037704307234,0.01218798712145772,0.6536630327834193,0.012748618726178332,0.006394805495003872,0.6536630327834193,68.9,0.53
+mitochondria,fly-brain-mito-benchmark,mtda,0.0,2,15,0.2846259044190867,0.16720493481205234,0.20202051430458304,0.4981603395778543,0.9269438299236332,0.2846259044190867,0.16720493481205234,0.9269438299236332,103.3,0.52
+mitochondria,fly-brain-mito-benchmark,mldb@e10,0.0,2,10,0.2257016650137171,0.12841734548009098,0.13756543313168854,0.6774079399940802,1.0294310718318012,0.2257016650137171,0.12841734548009098,1.0294310718318012,95.7,0.53
+mitochondria,fly-brain-mito-benchmark,mldb,0.0,2,15,0.23122965674301224,0.1323998711637641,0.15050419787214891,0.5346033348354217,1.027777656145892,0.23122965674301224,0.1323998711637641,1.027777656145892,143.6,0.52
+mitochondria,multiclass,mtda@e10,100.0,2,10,0.9168165518564868,0.8767570422910246,0.9788473508061799,0.8904650476164742,0.07340569340351943,0.9301972462608893,0.8728930679354272,0.08270503477043635,945.4,1.31
+mitochondria,multiclass,mtda,100.0,2,15,0.9043801670004618,0.8624787539706397,0.9734899056762096,0.881014838005389,0.07707763095566435,0.9167769848347007,0.8530364871511089,0.08973139393879058,1418.1,1.23
+mitochondria,multiclass,mtda@e10,0.0,2,10,0.8799030884951069,0.8232372073862998,0.9909636179583712,0.8303608892711395,0.09470600126326602,0.8966772396576118,0.8184273709014136,0.10734208547075819,675.1,1.27
+mitochondria,multiclass,mtda,0.0,2,15,0.8900855343779861,0.8438502340139858,0.9735552578700505,0.8679850265264301,0.08106234146135168,0.9145924411509053,0.8488127541695892,0.09077301589377916,1012.7,1.24
+mitochondria,multiclass,mldb@e10,0.0,2,10,0.8603617369772626,0.8065277447951368,0.981741969793081,0.8164577958292083,0.0995269261295376,0.8794855579292674,0.7951948133943977,0.11268222717288731,932.4,1.25
+mitochondria,multiclass,mldb,0.0,2,15,0.7136897386247159,0.6157166818879295,0.7804185928483162,0.782379574705805,0.18918440705604203,0.8382353809389065,0.7229741288074358,0.18883995403109158,1398.6,1.27
+mitochondria,drosophila-vnc,mtda@e10,100.0,2,10,0.8443102609495479,0.770047873560562,0.8740495312898454,0.8754680262521018,0.10230679149970381,0.9050465311356254,0.826917376764218,0.108185048244598,347.9,1.1
+mitochondria,drosophila-vnc,mtda,100.0,2,15,0.8254583756018888,0.7429787737262831,0.8583179639756899,0.856670792935181,0.11815049612458693,0.8639733764087363,0.7616150320355839,0.14532973804493898,521.8,1.12
+mitochondria,drosophila-vnc,mtda@e10,0.0,2,10,0.5553889500056467,0.44268073049039924,0.4884827382267457,0.7890542530675134,0.2641675428335206,0.6785456118105601,0.5137653839074889,0.305438786438435,249.3,1.11
+mitochondria,drosophila-vnc,mtda,0.0,2,15,0.6121095756221929,0.5127606757764092,0.6115163852985331,0.7696359741397926,0.20568938622379185,0.7316032466874169,0.5768181127354489,0.25205044264433446,373.9,1.1
+mitochondria,drosophila-vnc,mldb@e10,0.0,2,10,0.09468535935254313,0.05134433023666667,0.05238155787272462,0.8888831036402148,0.33028274363924887,0.0976328215778615,0.05132360708707795,0.373662903276724,346.7,1.11
+mitochondria,drosophila-vnc,mldb,0.0,2,15,0.07584406368762876,0.04117982560021489,0.05363579412086256,0.3727866975308262,0.7009440369951039,0.08668998735464206,0.04531116013494316,0.8381394683566284,520.0,1.1
+membrane,katz-lab-berghia-connective,mtda@e10,10.0,2,10,0.10909570558042504,0.06268933056809169,0.42967263915704246,0.12665756850037757,0.7234782696561609,0.11236992014942301,0.06583536996959362,0.7289729064767001,333.0,0.5
+membrane,katz-lab-berghia-connective,mtda,10.0,2,15,0.3513225466975008,0.24438736763164778,0.8146203112385134,0.25185202910915183,0.6312814210462901,0.320409482694946,0.20811050629783256,0.6091440635155787,499.5,0.52
+mitochondria,fly-brain-mito-benchmark,mtda@e10,10.0,2,10,0.8909441842463448,0.8053423329527372,0.9051399392295041,0.8780274764230473,0.19864788552086732,0.8909441842463448,0.8053423329527372,0.19864788552086732,94.3,0.57
+mitochondria,fly-brain-mito-benchmark,mtda,10.0,2,15,0.9105605647287681,0.8370768014708353,0.9314088247375354,0.8911493280429601,0.17033825762057467,0.9105605647287681,0.8370768014708353,0.17033825762057467,141.5,0.58
+mitochondria,multiclass,mtda@e10,10.0,2,10,0.9149508331028183,0.8746955939649536,0.9847772403883145,0.8883221422092897,0.07428013905765561,0.9274639916089518,0.8686149891401141,0.08397565080947894,932.8,1.25
+mitochondria,multiclass,mtda,10.0,2,15,0.9048274347854065,0.8651600048498254,0.9857838784971531,0.8780342948931618,0.07700859194116957,0.917009339644004,0.8529727662248368,0.08735161157016932,1399.2,1.27
+mitochondria,drosophila-vnc,mtda@e10,10.0,2,10,0.7113935438482887,0.6047024408665079,0.6505777241416559,0.9218441075238342,0.17750225316909965,0.8041608670105669,0.6745523124191863,0.19800445439317374,364.3,1.14
+mitochondria,drosophila-vnc,mtda,10.0,2,15,0.8247960937059434,0.7440238028518703,0.8341509031138837,0.8721791873092067,0.11428016333735301,0.8844981242485993,0.7934479949241461,0.12547122927634866,546.5,1.13
+membrane,octopus-vulgaris-vertical-lobe-sfltract,mtda@e10,0.0,2,10,0.7998476138550111,0.726347051232277,0.9228761310238657,0.7548872983304257,0.1918779144156726,0.6724910138893815,0.5118667822517093,0.21968566881311694,1191.2,4.58
+membrane,octopus-vulgaris-vertical-lobe-sfltract,mtda,0.0,2,15,0.8222214566514253,0.7491229340287471,0.8491372597208944,0.8349863899819846,0.1985321609870535,0.7468608163109588,0.60035724678383,0.22276187992402385,1786.7,4.55
+membrane,octopus-vulgaris-vertical-lobe-sfltract,mldb@e10,0.0,2,10,0.8222128706512032,0.7513682656234199,0.9226426044657347,0.7875163426357267,0.18348308519096523,0.6989779934690423,0.5428953014660729,0.20969193319065824,1694.1,4.69
+membrane,octopus-vulgaris-vertical-lobe-sfltract,mldb,0.0,2,15,0.8483790239415941,0.7780202360753804,0.8768408346075526,0.8531933590293911,0.18336314420068786,0.7734055709325914,0.6339324326323007,0.20264164388804587,2541.2,4.82
+mitochondria,kasthuri-pp,mtda@e10,100.0,2,10,0.8140494919094258,0.7769576816193272,0.8294686313616292,0.9266764341228768,0.030696920333661688,0.9421496874116793,0.8911974594459141,0.03434258298318534,1739.8,13.59
+mitochondria,kasthuri-pp,mtda,100.0,2,15,0.8532106907655281,0.816527032281335,0.8857016264155306,0.916902809825341,0.026573973633321517,0.9478765653936584,0.9014345296268714,0.03126818053885911,2609.7,13.8
+mitochondria,kasthuri-pp,mtda@e10,0.0,2,10,0.5311670095548077,0.4724009538889401,0.6377008275152891,0.6977179028153904,0.14177408175671302,0.45131803530417064,0.2925029201078108,0.23513919480378845,1258.3,14.32
+mitochondria,kasthuri-pp,mtda,0.0,2,15,0.38727284191647204,0.339697692010352,0.5753706043857374,0.5816306142863625,0.19954665812019873,0.2587222443174335,0.14999941279371373,0.30457373725223164,1887.5,13.55
+mitochondria,kasthuri-pp,mldb@e10,0.0,2,10,0.7157861183391011,0.6622081969499817,0.7828093315267095,0.8293761365156207,0.05334203222842106,0.8702375101404036,0.7717967327812016,0.063391889419408,1727.7,14.14
+mitochondria,kasthuri-pp,mldb,0.0,2,15,0.6880312212239658,0.6300186593694762,0.7375858640329714,0.8327173544119646,0.06971302002873117,0.8235057002308445,0.7017339847601395,0.08608342266360336,2591.6,13.31
+mitochondria,lucchi-pp,mtda@e10,100.0,2,10,0.8898495962947585,0.8560323522518614,0.9237690135310133,0.9252061067273587,0.04749260978984656,0.9378715197500417,0.88458551835295,0.05781471460629049,1724.1,10.31
+mitochondria,lucchi-pp,mtda,100.0,2,15,0.8878579651754058,0.8557667087084757,0.919778235980196,0.9287374635905831,0.043507284100699116,0.9486485289065244,0.9031450530385883,0.05030282676045782,2586.2,10.01
+mitochondria,lucchi-pp,mtda@e10,0.0,2,10,0.8188526433479224,0.7735813536442658,0.8400023463326821,0.9206135407470504,0.06635608775497094,0.9135602356618925,0.8425210976272635,0.07792217972694755,1230.1,10.19
+mitochondria,lucchi-pp,mtda,0.0,2,15,0.841378799363398,0.7976125364740734,0.8690814403352444,0.9072346320833068,0.05886635540794647,0.9108521790837715,0.838567909619761,0.07631407461844784,1845.1,9.99
+mitochondria,lucchi-pp,mldb@e10,0.0,2,10,0.6719763214830955,0.6051657208816419,0.7354506575766204,0.7993630689262986,0.15026699939752916,0.7460462010243276,0.6177962025153152,0.17933906277152223,1722.7,10.36
+mitochondria,lucchi-pp,mldb,0.0,2,15,0.5655777352005109,0.4941782899667604,0.681457307056362,0.6981028870688162,0.14899397981181944,0.717440318173825,0.5776566434805273,0.17211100994827924,2584.1,10.01
+membrane,whole-mouse-brain,mtda@e10,10.0,2,10,0.6411054867645689,0.5534475997195367,0.6061069858702601,0.8582455592392639,0.41305427639932163,0.7908178545663885,0.6735228776679739,0.4562571673220768,1744.1,8.16
+membrane,whole-mouse-brain,mtda,10.0,2,15,0.6732614461347349,0.59068176032288,0.6626061748090024,0.8445402921781285,0.3740601884674398,0.8125588476348858,0.7009193537785439,0.4199568884018253,2616.2,9.42
+membrane,octopus-vulgaris-vertical-lobe-sfltract,mtda@e10,10.0,2,10,0.8602156025029851,0.792923066571905,0.9000465909056462,0.85454814207686,0.1722903239329482,0.7928081797310632,0.6603180426739532,0.1886493319764525,1843.5,8.4
+membrane,octopus-vulgaris-vertical-lobe-sfltract,mtda,10.0,2,15,0.8574120153641115,0.7925782569695573,0.8727531818979163,0.8789629148120118,0.1751672464011811,0.8038397608697343,0.6757915499422817,0.19169258194216185,2765.3,8.1
+mitochondria,kasthuri-pp,mtda@e10,10.0,2,10,0.8252123351214851,0.7844609598777831,0.8457216516635012,0.9205023891915548,0.028136327469934146,0.9457603216838587,0.8976501983623209,0.03230068235662261,1871.2,19.94
+mitochondria,kasthuri-pp,mtda,10.0,2,15,0.8539830565392963,0.8195009935530554,0.886510945222811,0.9196974679090409,0.02686214002083871,0.9478441282823541,0.9014094057527183,0.03130485260600734,2806.9,19.29
+mitochondria,lucchi-pp,mtda@e10,10.0,2,10,0.8869426219420041,0.8519362093154884,0.9312314101282178,0.9110621657889019,0.04858424804221675,0.9374890962868503,0.8836640063966675,0.05667602892024583,1856.0,16.64
+mitochondria,lucchi-pp,mtda,10.0,2,15,0.9054724945351462,0.8714908320947169,0.9427042499420053,0.9196340638380751,0.04584505966187461,0.9445280709743008,0.8957679259081235,0.05247564019363077,2784.0,15.2
+membrane,katz-lab-berghia-connective,mtda@e10,100.0,3,10,0.2810375947595158,0.19185500247221327,0.7446550449653923,0.20088139457604248,0.6436435633728051,0.23273477495207806,0.13824569897255407,0.6521663169929887,374.7,2.11
+membrane,katz-lab-berghia-connective,mtda,100.0,3,15,0.3710740340286422,0.2571798976984204,0.7624393638044815,0.29536116036680937,0.6753318577069399,0.3570937630886566,0.22859723948898436,0.6659201891684654,562.0,1.84
+membrane,katz-lab-berghia-connective,mtda@e10,0.0,3,10,0.2675595907940047,0.1903583920152703,0.5858194303914359,0.21214475631425816,0.700033253770803,0.2385516928571647,0.1572795167712923,0.6819527815100141,269.2,2.09
+membrane,katz-lab-berghia-connective,mtda,0.0,3,15,0.2950398084884782,0.21306622688717966,0.6112228471561933,0.24589578894512545,0.7245983227012267,0.26306472844916007,0.17847696049259087,0.705039831864241,403.8,1.8
+membrane,katz-lab-berghia-connective,mldb@e10,0.0,3,10,0.3563220399108978,0.26427909856011467,0.30691698768919545,0.7087065023330222,0.7816134207586969,0.27376893783713396,0.1752948593036256,0.9486238394846574,367.8,2.07
+membrane,katz-lab-berghia-connective,mldb,0.0,3,15,0.4603823185172257,0.3386839870727646,0.526588194663643,0.5328797843575749,0.8777797987899582,0.45434105255546214,0.31566213450612246,0.9425195875308131,551.6,2.12
+mitochondria,fly-brain-mito-benchmark,mtda@e10,100.0,3,10,0.897398902763269,0.8158110205515614,0.9360758384577972,0.8632959274107521,0.1831051795240046,0.897398902763269,0.8158110205515614,0.1831051795240046,124.5,3.12
+mitochondria,fly-brain-mito-benchmark,mtda,100.0,3,15,0.9206151775507264,0.8538222192692724,0.9108765973113462,0.9311127128066514,0.16245119467404057,0.9206151775507264,0.8538222192692724,0.16245119467404057,186.8,2.27
+mitochondria,drosophila-vnc,mldb@e10,0.0,3,10,0.10512127272466125,0.057762746601519616,0.05789699568543278,0.982935183396643,0.23357163027331973,0.11338385132669458,0.06010235179673642,0.25152794302994713,385.5,2.83
+mitochondria,drosophila-vnc,mldb,0.0,3,15,0.07705952275466259,0.041367933697399814,0.04593243785234376,0.5870458383167143,0.7249473793762202,0.08179216164623676,0.042642012531335434,0.8521767286704053,578.3,2.81
+mitochondria,drosophila-vnc,mtda@e10,0.0,3,10,0.49643880424982756,0.39022074386077316,0.5375956672222969,0.6022670958941313,0.2517215022029675,0.5692884253146286,0.39813097801302866,0.3138052694875713,287.8,2.86
+mitochondria,drosophila-vnc,mtda,0.0,3,15,0.5088660601722702,0.3988791419527394,0.4313659553302852,0.7927446236111582,0.3163903012803526,0.6047921835989959,0.43419931444524057,0.37343373572095584,431.6,2.65
+mitochondria,drosophila-vnc,mtda@e10,100.0,3,10,0.7935999757739424,0.7138199456462642,0.9167325975172629,0.7665278455219265,0.10665919250350497,0.8708053757175431,0.772849666533303,0.12527799281366878,402.4,2.84
+mitochondria,drosophila-vnc,mtda,100.0,3,15,0.8385541321587848,0.7642890266632558,0.845955530772783,0.8888810595847975,0.11193675905986632,0.8605243961676864,0.7566043122398383,0.1476804090074488,603.7,3.09
+mitochondria,multiclass,mldb@e10,0.0,3,10,0.8184917676199728,0.7637666807222354,0.9099715461790161,0.8350393827654548,0.10197971681144001,0.8759624810062624,0.7929125355628314,0.11355506536191029,1041.7,3.45
+mitochondria,multiclass,mldb,0.0,3,15,0.887420219489428,0.8399013082877993,0.9365774500992208,0.8824999971520926,0.08540757700415348,0.915605454071801,0.849237155751753,0.0951254530907052,1562.5,3.11
+mitochondria,multiclass,mtda@e10,0.0,3,10,0.8826316990930708,0.8378880982070928,0.9824763342573261,0.8531099817127704,0.08658229195306204,0.8977624812979673,0.8237166881233391,0.10190945616084665,753.9,3.34
+mitochondria,multiclass,mtda,0.0,3,15,0.9220670770140883,0.8779405354688122,0.9515905337921575,0.9206160807141043,0.07359372429105032,0.9529545377809434,0.9108175951953752,0.07178428036410503,1130.9,3.23
+mitochondria,multiclass,mtda@e10,100.0,3,10,0.878942662810139,0.831754697555756,0.9826233074987278,0.8461856705433595,0.09032002284610718,0.9021751608897837,0.8303234288209209,0.09771017928461276,1051.1,3.55
+mitochondria,multiclass,mtda,100.0,3,15,0.8931907051461639,0.851039167491714,0.9626498110763152,0.8805121774669022,0.07547249981106888,0.9213276625934202,0.8594524446028778,0.08552431423341754,1576.6,3.56
+mitochondria,fly-brain-mito-benchmark,mldb@e10,0.0,3,10,0.21331857635839335,0.12034525470117446,0.12109403044521765,0.9599155589914633,0.5643111999574671,0.21331857635839335,0.12034525470117446,0.5643111999574671,117.4,3.06
+mitochondria,fly-brain-mito-benchmark,mldb,0.0,3,15,0.2133646607948967,0.12049422416470658,0.12065880537401372,0.9910028332862144,0.44446397311703584,0.2133646607948967,0.12049422416470658,0.44446397311703584,176.1,2.5

baselines/adapt/bayzid-system-2/runs/membrane/katz-lab-berghia-connective/mldb_e15_b0_s2/log.txt

@@ -0,0 +1,17 @@
+[14:18:30][       0s] START mldb target=katz-lab-berghia-connective task=membrane budget=0% (0/636 labeled) seed=2 epochs=15 x 80 steps | sources (1): octopus-vulgaris-vertical-lobe-sfltract | val 10 test 36 | bs=8 src_bs=8 lr=0.0001 mu=0.1 gamma=10.0 amp=True gpu=NVIDIA GeForce RTX 3070
+[14:19:04][      35s] epoch 1/15 loss 0.3227 seg_src 0.3164 dom 0.2572 seg_tgt 0.0000 grl 0.05
+[14:19:37][      67s] epoch 2/15 loss 0.2422 seg_src 0.2124 dom 0.2730 seg_tgt 0.0000 grl 0.34
+[14:20:09][     100s] epoch 3/15 loss 0.2535 seg_src 0.1803 dom 0.1964 seg_tgt 0.0000 grl 0.61
+[14:20:42][     133s] epoch 4/15 loss 0.2974 seg_src 0.1723 dom 0.1636 seg_tgt 0.0000 grl 0.79
+[14:21:15][     166s] epoch 5/15 loss 0.2839 seg_src 0.1396 dom 0.1458 seg_tgt 0.0000 grl 0.89 val_dice 0.5050
+[14:21:48][     199s] epoch 6/15 loss 0.2834 seg_src 0.1359 dom 0.1475 seg_tgt 0.0000 grl 0.95
+[14:22:21][     231s] epoch 7/15 loss 0.2550 seg_src 0.1235 dom 0.1315 seg_tgt 0.0000 grl 0.97
+[14:22:53][     264s] epoch 8/15 loss 0.2370 seg_src 0.1119 dom 0.1251 seg_tgt 0.0000 grl 0.99
+[14:23:26][     297s] epoch 9/15 loss 0.2207 seg_src 0.1028 dom 0.1179 seg_tgt 0.0000 grl 0.99
+[14:24:00][     330s] epoch 10/15 loss 0.2099 seg_src 0.0941 dom 0.1158 seg_tgt 0.0000 grl 1.00 val_dice 0.4378 | TEST patch_dice 0.3935 image_dice 0.3175
+[14:24:32][     363s] epoch 11/15 loss 0.2093 seg_src 0.0953 dom 0.1140 seg_tgt 0.0000 grl 1.00
+[14:25:05][     396s] epoch 12/15 loss 0.2198 seg_src 0.0962 dom 0.1236 seg_tgt 0.0000 grl 1.00
+[14:25:38][     428s] epoch 13/15 loss 0.2080 seg_src 0.0916 dom 0.1164 seg_tgt 0.0000 grl 1.00
+[14:26:10][     461s] epoch 14/15 loss 0.1970 seg_src 0.0841 dom 0.1129 seg_tgt 0.0000 grl 1.00
+[14:26:44][     494s] epoch 15/15 loss 0.1915 seg_src 0.0785 dom 0.1130 seg_tgt 0.0000 grl 1.00 val_dice 0.4812 | TEST patch_dice 0.3846 image_dice 0.2930
+[14:26:44][     495s] DONE test patch_dice 0.3846 image_dice 0.2930 patch_vi 0.7371 | cyclegan 0.0 min, train 8.2 min

baselines/adapt/bayzid-system-2/runs/membrane/katz-lab-berghia-connective/mldb_e15_b0_s2/result.json

@@ -0,0 +1,249 @@
+{
+  "task": "membrane",
+  "target": "katz-lab-berghia-connective",
+  "variant": "mldb",
+  "budget": 0.0,
+  "seed": 2,
+  "epochs": 15,
+  "steps_per_epoch": 80,
+  "labeled_patches": 0,
+  "train_pool": 636,
+  "sources": [
+    "octopus-vulgaris-vertical-lobe-sfltract"
+  ],
+  "args": {
+    "macs_repo": "/mnt/sdc1/connectomics/MACS-2",
+    "method": "mldb",
+    "source": "octopus-vulgaris-vertical-lobe-sfltract",
+    "task": "membrane",
+    "target": "katz-lab-berghia-connective",
+    "budget": 0.0,
+    "seed": 2,
+    "epochs": 15,
+    "max_steps": 400,
+    "bs": 8,
+    "src_bs": 8,
+    "lr": 0.0001,
+    "gamma": 10.0,
+    "mu": 0.1,
+    "gan_iters": 1500,
+    "gan_bs": 4,
+    "ngf": 32,
+    "sem_weight": 1.0,
+    "ema": 0.99,
+    "cons_weight": 1.0,
+    "mask_ratio": 0.5,
+    "kd_weight": 0.1,
+    "num_workers": 8,
+    "val_every": 5,
+    "test_epochs": "10",
+    "models_dir": "/mnt/sdc1/connectomics/MACS-2/models",
+    "out_root": "/mnt/sdc1/connectomics/MACS-baselines/adapt/results-macs",
+    "no_amp": false
+  },
+  "gan_seconds": 0.0,
+  "train_seconds": 493.1808180809021,
+  "test": {
+    "patch_dice": 0.3846224411464948,
+    "patch_iou": 0.31086222962071797,
+    "patch_precision": 0.42255257942518004,
+    "patch_recall": 0.43504226406695284,
+    "patch_vi": 0.7370761434834066,
+    "n_patches": 36,
+    "image_dice": 0.29295733570558125,
+    "image_iou": 0.20905654217837816,
+    "image_precision": 0.24213851627276306,
+    "image_recall": 0.3753961444183356,
+    "image_vi": 0.8405253983044689,
+    "n_images": 4,
+    "cal_ece": 0.10326618755496184,
+    "cal_nll": 0.6594334980665677,
+    "cal_brier": 0.19105397597514648,
+    "cal_mean_confidence": 0.8574947672971879,
+    "cal_accuracy": 0.7630208333333334,
+    "cal_predicted_prevalence": 0.24357096354166666,
+    "cal_true_prevalence": 0.2724880642361111,
+    "cal_mean_probability": 0.2839463866666847,
+    "_infer_s": 0.47564172744750977
+  },
+  "tests_by_epoch": {
+    "10": {
+      "patch_dice": 0.393480914431369,
+      "patch_iou": 0.31464074492585037,
+      "patch_precision": 0.39836059517080885,
+      "patch_recall": 0.4420952736188184,
+      "patch_vi": 0.7897575064801928,
+      "n_patches": 36,
+      "image_dice": 0.31747232680314924,
+      "image_iou": 0.22455418717499065,
+      "image_precision": 0.28059916390305567,
+      "image_recall": 0.3855412043949069,
+      "image_vi": 0.8782288393828805,
+      "n_images": 4,
+      "cal_ece": 0.12198677185448205,
+      "cal_nll": 0.6314825538707086,
+      "cal_brier": 0.19274667974680082,
+      "cal_mean_confidence": 0.8668648299434254,
+      "cal_accuracy": 0.7479112413194444,
+      "cal_predicted_prevalence": 0.2632378472222222,
+      "cal_true_prevalence": 0.2724880642361111,
+      "cal_mean_probability": 0.29495273462415145,
+      "_infer_s": 0.480072021484375
+    },
+    "15": {
+      "patch_dice": 0.3846224411464948,
+      "patch_iou": 0.31086222962071797,
+      "patch_precision": 0.42255257942518004,
+      "patch_recall": 0.43504226406695284,
+      "patch_vi": 0.7370761434834066,
+      "n_patches": 36,
+      "image_dice": 0.29295733570558125,
+      "image_iou": 0.20905654217837816,
+      "image_precision": 0.24213851627276306,
+      "image_recall": 0.3753961444183356,
+      "image_vi": 0.8405253983044689,
+      "n_images": 4,
+      "cal_ece": 0.10326618755496184,
+      "cal_nll": 0.6594334980665677,
+      "cal_brier": 0.19105397597514648,
+      "cal_mean_confidence": 0.8574947672971879,
+      "cal_accuracy": 0.7630208333333334,
+      "cal_predicted_prevalence": 0.24357096354166666,
+      "cal_true_prevalence": 0.2724880642361111,
+      "cal_mean_probability": 0.2839463866666847,
+      "_infer_s": 0.47564172744750977
+    }
+  },
+  "history": [
+    {
+      "epoch": 1,
+      "loss": 0.32268289662897587,
+      "seg_src": 0.316432742588222,
+      "dom": 0.2572131449356675,
+      "seg_tgt": 0.0,
+      "grl": 0.05
+    },
+    {
+      "epoch": 2,
+      "loss": 0.24224765468388795,
+      "seg_src": 0.21242424594238402,
+      "dom": 0.2730035142973065,
+      "seg_tgt": 0.0,
+      "grl": 0.3426949069654601
+    },
+    {
+      "epoch": 3,
+      "loss": 0.2535380195826292,
+      "seg_src": 0.1803159223869443,
+      "dom": 0.19637399930506944,
+      "seg_tgt": 0.0,
+      "grl": 0.6133572603953825
+    },
+    {
+      "epoch": 4,
+      "loss": 0.29744311347603797,
+      "seg_src": 0.1722825719974935,
+      "dom": 0.16358564319089056,
+      "seg_tgt": 0.0,
+      "grl": 0.7899988299594705
+    },
+    {
+      "epoch": 5,
+      "loss": 0.28385180588811637,
+      "seg_src": 0.13961233235895634,
+      "dom": 0.14579781899228691,
+      "seg_tgt": 0.0,
+      "grl": 0.8913734677347187,
+      "val_dice": 0.5049869090760348
+    },
+    {
+      "epoch": 6,
+      "loss": 0.2834403967484832,
+      "seg_src": 0.13590473039075732,
+      "dom": 0.14753566617146135,
+      "seg_tgt": 0.0,
+      "grl": 0.9453064264076343
+    },
+    {
+      "epoch": 7,
+      "loss": 0.25502634663134816,
+      "seg_src": 0.1235346003435552,
+      "dom": 0.1314917447976768,
+      "seg_tgt": 0.0,
+      "grl": 0.9728461661125112
+    },
+    {
+      "epoch": 8,
+      "loss": 0.2369875494390726,
+      "seg_src": 0.11187194837257267,
+      "dom": 0.12511560237035155,
+      "seg_tgt": 0.0,
+      "grl": 0.9866142981514305
+    },
+    {
+      "epoch": 9,
+      "loss": 0.2207105878740549,
+      "seg_src": 0.10279650897718966,
+      "dom": 0.1179140793159604,
+      "seg_tgt": 0.0,
+      "grl": 0.9934246772281319
+    },
+    {
+      "epoch": 10,
+      "loss": 0.20985044054687024,
+      "seg_src": 0.09406249704770744,
+      "dom": 0.11578794391825795,
+      "seg_tgt": 0.0,
+      "grl": 0.9967756945029476,
+      "val_dice": 0.43779714512860535,
+      "test_patch_dice": 0.393480914431369,
+      "test_image_dice": 0.31747232680314924
+    },
+    {
+      "epoch": 11,
+      "loss": 0.20930323470383883,
+      "seg_src": 0.0953252968378365,
+      "dom": 0.11397793805226683,
+      "seg_tgt": 0.0,
+      "grl": 0.9984202681165271
+    },
+    {
+      "epoch": 12,
+      "loss": 0.21983819417655467,
+      "seg_src": 0.09624918503686786,
+      "dom": 0.12358900904655457,
+      "seg_tgt": 0.0,
+      "grl": 0.999226343498715
+    },
+    {
+      "epoch": 13,
+      "loss": 0.208019688911736,
+      "seg_src": 0.09157208600081504,
+      "dom": 0.11644760286435485,
+      "seg_tgt": 0.0,
+      "grl": 0.9996211881123498
+    },
+    {
+      "epoch": 14,
+      "loss": 0.1970200700685382,
+      "seg_src": 0.08412241069599986,
+      "dom": 0.11289765923283994,
+      "seg_tgt": 0.0,
+      "grl": 0.9998145378686683
+    },
+    {
+      "epoch": 15,
+      "loss": 0.1914903812110424,
+      "seg_src": 0.07846012860536575,
+      "dom": 0.11303025195375085,
+      "seg_tgt": 0.0,
+      "grl": 0.9999092042625952,
+      "val_dice": 0.4811518468802773,
+      "test_patch_dice": 0.3846224411464948,
+      "test_image_dice": 0.29295733570558125
+    }
+  ],
+  "data_access": "sources: labeled train patches; target: unlabeled train pool + random upfront budget of train labels; val: logged only (no selection, final model); test: evaluation only",
+  "gpu": "NVIDIA GeForce RTX 3070",
+  "torch": "2.5.1+cu118"
+}

baselines/adapt/bayzid-system-2/runs/membrane/katz-lab-berghia-connective/mldb_e15_b0_s3/log.txt

@@ -0,0 +1,17 @@
+[01:53:34][       0s] START mldb target=katz-lab-berghia-connective task=membrane budget=0% (0/636 labeled) seed=3 epochs=15 x 80 steps | sources (1): octopus-vulgaris-vertical-lobe-sfltract | val 10 test 36 | bs=8 src_bs=8 lr=0.0001 mu=0.1 gamma=10.0 amp=True gpu=NVIDIA GeForce RTX 3070
+[01:54:18][      44s] epoch 1/15 loss 0.4454 seg_src 0.4406 dom 0.1949 seg_tgt 0.0000 grl 0.05
+[01:54:53][      79s] epoch 2/15 loss 0.3434 seg_src 0.3174 dom 0.2314 seg_tgt 0.0000 grl 0.34
+[01:55:28][     115s] epoch 3/15 loss 0.3006 seg_src 0.2291 dom 0.1941 seg_tgt 0.0000 grl 0.61
+[01:56:04][     151s] epoch 4/15 loss 0.3252 seg_src 0.2075 dom 0.1540 seg_tgt 0.0000 grl 0.79
+[01:56:42][     188s] epoch 5/15 loss 0.3139 seg_src 0.1761 dom 0.1392 seg_tgt 0.0000 grl 0.89 val_dice 0.3011
+[01:57:19][     226s] epoch 6/15 loss 0.2789 seg_src 0.1472 dom 0.1317 seg_tgt 0.0000 grl 0.95
+[01:57:54][     261s] epoch 7/15 loss 0.2743 seg_src 0.1438 dom 0.1305 seg_tgt 0.0000 grl 0.97
+[01:58:30][     296s] epoch 8/15 loss 0.2584 seg_src 0.1296 dom 0.1288 seg_tgt 0.0000 grl 0.99
+[01:59:06][     332s] epoch 9/15 loss 0.2531 seg_src 0.1261 dom 0.1271 seg_tgt 0.0000 grl 0.99
+[01:59:45][     372s] epoch 10/15 loss 0.2444 seg_src 0.1186 dom 0.1258 seg_tgt 0.0000 grl 1.00 val_dice 0.5118 | TEST patch_dice 0.3563 image_dice 0.2738
+[02:00:20][     407s] epoch 11/15 loss 0.2354 seg_src 0.1086 dom 0.1268 seg_tgt 0.0000 grl 1.00
+[02:00:58][     445s] epoch 12/15 loss 0.2168 seg_src 0.0930 dom 0.1239 seg_tgt 0.0000 grl 1.00
+[02:01:33][     480s] epoch 13/15 loss 0.2125 seg_src 0.0924 dom 0.1201 seg_tgt 0.0000 grl 1.00
+[02:02:09][     516s] epoch 14/15 loss 0.2170 seg_src 0.1013 dom 0.1157 seg_tgt 0.0000 grl 1.00
+[02:02:49][     556s] epoch 15/15 loss 0.2008 seg_src 0.0890 dom 0.1118 seg_tgt 0.0000 grl 1.00 val_dice 0.4904 | TEST patch_dice 0.4604 image_dice 0.4543
+[02:02:50][     556s] DONE test patch_dice 0.4604 image_dice 0.4543 patch_vi 0.8778 | cyclegan 0.0 min, train 9.2 min

baselines/adapt/bayzid-system-2/runs/membrane/katz-lab-berghia-connective/mldb_e15_b0_s3/result.json

@@ -0,0 +1,249 @@
+{
+  "task": "membrane",
+  "target": "katz-lab-berghia-connective",
+  "variant": "mldb",
+  "budget": 0.0,
+  "seed": 3,
+  "epochs": 15,
+  "steps_per_epoch": 80,
+  "labeled_patches": 0,
+  "train_pool": 636,
+  "sources": [
+    "octopus-vulgaris-vertical-lobe-sfltract"
+  ],
+  "args": {
+    "macs_repo": "/mnt/sdc1/connectomics/MACS-2",
+    "method": "mldb",
+    "source": "octopus-vulgaris-vertical-lobe-sfltract",
+    "task": "membrane",
+    "target": "katz-lab-berghia-connective",
+    "budget": 0.0,
+    "seed": 3,
+    "epochs": 15,
+    "max_steps": 400,
+    "bs": 8,
+    "src_bs": 8,
+    "lr": 0.0001,
+    "gamma": 10.0,
+    "mu": 0.1,
+    "gan_iters": 1500,
+    "gan_bs": 4,
+    "ngf": 32,
+    "sem_weight": 1.0,
+    "ema": 0.99,
+    "cons_weight": 1.0,
+    "mask_ratio": 0.5,
+    "kd_weight": 0.1,
+    "num_workers": 8,
+    "val_every": 5,
+    "test_epochs": "10",
+    "models_dir": "/mnt/sdc1/connectomics/MACS-2/models",
+    "out_root": "/mnt/sdc1/connectomics/MACS-baselines/adapt/results-macs",
+    "no_amp": false
+  },
+  "gan_seconds": 0.0,
+  "train_seconds": 551.6252646446228,
+  "test": {
+    "patch_dice": 0.4603823185172257,
+    "patch_iou": 0.3386839870727646,
+    "patch_precision": 0.526588194663643,
+    "patch_recall": 0.5328797843575749,
+    "patch_vi": 0.8777797987899582,
+    "n_patches": 36,
+    "image_dice": 0.45434105255546214,
+    "image_iou": 0.31566213450612246,
+    "image_precision": 0.39691845179294516,
+    "image_recall": 0.5869719762989283,
+    "image_vi": 0.9425195875308131,
+    "n_images": 4,
+    "cal_ece": 0.11744351198942445,
+    "cal_nll": 0.6045011039346776,
+    "cal_brier": 0.1968244632325833,
+    "cal_mean_confidence": 0.810997158587371,
+    "cal_accuracy": 0.7120768229166666,
+    "cal_predicted_prevalence": 0.3284233940972222,
+    "cal_true_prevalence": 0.2724880642361111,
+    "cal_mean_probability": 0.35557894194213685,
+    "_infer_s": 2.121131420135498
+  },
+  "tests_by_epoch": {
+    "10": {
+      "patch_dice": 0.3563220399108978,
+      "patch_iou": 0.26427909856011467,
+      "patch_precision": 0.30691698768919545,
+      "patch_recall": 0.7087065023330222,
+      "patch_vi": 0.7816134207586969,
+      "n_patches": 36,
+      "image_dice": 0.27376893783713396,
+      "image_iou": 0.1752948593036256,
+      "image_precision": 0.18684037253251112,
+      "image_recall": 0.5696705940405549,
+      "image_vi": 0.9486238394846574,
+      "n_images": 4,
+      "cal_ece": 0.4314289622552874,
+      "cal_nll": 1.5619584942669265,
+      "cal_brier": 0.45363289504903825,
+      "cal_mean_confidence": 0.8498015059488851,
+      "cal_accuracy": 0.420654296875,
+      "cal_predicted_prevalence": 0.6982421875,
+      "cal_true_prevalence": 0.2724880642361111,
+      "cal_mean_probability": 0.6337658135532257,
+      "_infer_s": 2.0667238235473633
+    },
+    "15": {
+      "patch_dice": 0.4603823185172257,
+      "patch_iou": 0.3386839870727646,
+      "patch_precision": 0.526588194663643,
+      "patch_recall": 0.5328797843575749,
+      "patch_vi": 0.8777797987899582,
+      "n_patches": 36,
+      "image_dice": 0.45434105255546214,
+      "image_iou": 0.31566213450612246,
+      "image_precision": 0.39691845179294516,
+      "image_recall": 0.5869719762989283,
+      "image_vi": 0.9425195875308131,
+      "n_images": 4,
+      "cal_ece": 0.11744351198942445,
+      "cal_nll": 0.6045011039346776,
+      "cal_brier": 0.1968244632325833,
+      "cal_mean_confidence": 0.810997158587371,
+      "cal_accuracy": 0.7120768229166666,
+      "cal_predicted_prevalence": 0.3284233940972222,
+      "cal_true_prevalence": 0.2724880642361111,
+      "cal_mean_probability": 0.35557894194213685,
+      "_infer_s": 2.121131420135498
+    }
+  },
+  "history": [
+    {
+      "epoch": 1,
+      "loss": 0.44536233097314837,
+      "seg_src": 0.4405950991436839,
+      "dom": 0.19489803370088338,
+      "seg_tgt": 0.0,
+      "grl": 0.05
+    },
+    {
+      "epoch": 2,
+      "loss": 0.34340331740677354,
+      "seg_src": 0.31736460868269206,
+      "dom": 0.23135326597839595,
+      "seg_tgt": 0.0,
+      "grl": 0.3426949069654601
+    },
+    {
+      "epoch": 3,
+      "loss": 0.3005560077726841,
+      "seg_src": 0.22913186959922313,
+      "dom": 0.1940901093184948,
+      "seg_tgt": 0.0,
+      "grl": 0.6133572603953825
+    },
+    {
+      "epoch": 4,
+      "loss": 0.3252270869910717,
+      "seg_src": 0.2074520700611174,
+      "dom": 0.15399917000904678,
+      "seg_tgt": 0.0,
+      "grl": 0.7899988299594705
+    },
+    {
+      "epoch": 5,
+      "loss": 0.31386603582650424,
+      "seg_src": 0.17608509166166186,
+      "dom": 0.13924836283549666,
+      "seg_tgt": 0.0,
+      "grl": 0.8913734677347187,
+      "val_dice": 0.30105101562742137
+    },
+    {
+      "epoch": 6,
+      "loss": 0.27887656930834054,
+      "seg_src": 0.14722361164167524,
+      "dom": 0.13165295608341693,
+      "seg_tgt": 0.0,
+      "grl": 0.9453064264076343
+    },
+    {
+      "epoch": 7,
+      "loss": 0.2742922531440854,
+      "seg_src": 0.1438139896839857,
+      "dom": 0.13047826290130615,
+      "seg_tgt": 0.0,
+      "grl": 0.9728461661125112
+    },
+    {
+      "epoch": 8,
+      "loss": 0.25841755587607623,
+      "seg_src": 0.12957359286956488,
+      "dom": 0.12884396314620972,
+      "seg_tgt": 0.0,
+      "grl": 0.9866142981514305
+    },
+    {
+      "epoch": 9,
+      "loss": 0.25311679895967243,
+      "seg_src": 0.12606136882677674,
+      "dom": 0.12705543227493762,
+      "seg_tgt": 0.0,
+      "grl": 0.9934246772281319
+    },
+    {
+      "epoch": 10,
+      "loss": 0.244372427649796,
+      "seg_src": 0.11861735042184592,
+      "dom": 0.1257550770416856,
+      "seg_tgt": 0.0,
+      "grl": 0.9967756945029476,
+      "val_dice": 0.5117959220307721,
+      "test_patch_dice": 0.3563220399108978,
+      "test_image_dice": 0.27376893783713396
+    },
+    {
+      "epoch": 11,
+      "loss": 0.23540711905807257,
+      "seg_src": 0.10860833809711039,
+      "dom": 0.12679878082126378,
+      "seg_tgt": 0.0,
+      "grl": 0.9984202681165271
+    },
+    {
+      "epoch": 12,
+      "loss": 0.2168267834931612,
+      "seg_src": 0.09297316228039562,
+      "dom": 0.12385362144559622,
+      "seg_tgt": 0.0,
+      "grl": 0.999226343498715
+    },
+    {
+      "epoch": 13,
+      "loss": 0.2124580318108201,
+      "seg_src": 0.09235074925236404,
+      "dom": 0.12010728288441896,
+      "seg_tgt": 0.0,
+      "grl": 0.9996211881123498
+    },
+    {
+      "epoch": 14,
+      "loss": 0.21701696310192348,
+      "seg_src": 0.10131224994547665,
+      "dom": 0.11570471366867423,
+      "seg_tgt": 0.0,
+      "grl": 0.9998145378686683
+    },
+    {
+      "epoch": 15,
+      "loss": 0.2008449301123619,
+      "seg_src": 0.08904453171417118,
+      "dom": 0.11180039951577783,
+      "seg_tgt": 0.0,
+      "grl": 0.9999092042625952,
+      "val_dice": 0.4903926269792856,
+      "test_patch_dice": 0.4603823185172257,
+      "test_image_dice": 0.45434105255546214
+    }
+  ],
+  "data_access": "sources: labeled train patches; target: unlabeled train pool + random upfront budget of train labels; val: logged only (no selection, final model); test: evaluation only",
+  "gpu": "NVIDIA GeForce RTX 3070",
+  "torch": "2.5.1+cu118"
+}

baselines/adapt/bayzid-system-2/runs/membrane/katz-lab-berghia-connective/mtda_e15_b0_s2/log.txt

@@ -0,0 +1,17 @@
+[14:12:30][       0s] START mtda target=katz-lab-berghia-connective task=membrane budget=0% (0/636 labeled) seed=2 epochs=15 x 80 steps | sources (1): octopus-vulgaris-vertical-lobe-sfltract | val 10 test 36 | bs=8 src_bs=8 lr=0.0001 mu=0.1 gamma=10.0 amp=True gpu=NVIDIA GeForce RTX 3070
+[14:12:55][      25s] epoch 1/15 loss 0.2750 seg_src 0.2722 dom 0.1092 seg_tgt 0.0000 grl 0.05
+[14:13:19][      49s] epoch 2/15 loss 0.2061 seg_src 0.1869 dom 0.1659 seg_tgt 0.0000 grl 0.34
+[14:13:42][      72s] epoch 3/15 loss 0.1931 seg_src 0.1633 dom 0.0843 seg_tgt 0.0000 grl 0.61
+[14:14:06][      95s] epoch 4/15 loss 0.2037 seg_src 0.1600 dom 0.0577 seg_tgt 0.0000 grl 0.79
+[14:14:29][     119s] epoch 5/15 loss 0.1695 seg_src 0.1407 dom 0.0292 seg_tgt 0.0000 grl 0.89 val_dice 0.1782
+[14:14:53][     143s] epoch 6/15 loss 0.1701 seg_src 0.1466 dom 0.0235 seg_tgt 0.0000 grl 0.95
+[14:15:17][     167s] epoch 7/15 loss 0.1515 seg_src 0.1351 dom 0.0164 seg_tgt 0.0000 grl 0.97
+[14:15:41][     190s] epoch 8/15 loss 0.1309 seg_src 0.1178 dom 0.0131 seg_tgt 0.0000 grl 0.99
+[14:16:04][     214s] epoch 9/15 loss 0.1193 seg_src 0.1067 dom 0.0127 seg_tgt 0.0000 grl 0.99
+[14:16:28][     238s] epoch 10/15 loss 0.1068 seg_src 0.0957 dom 0.0112 seg_tgt 0.0000 grl 1.00 val_dice 0.0983 | TEST patch_dice 0.2614 image_dice 0.2294
+[14:16:52][     261s] epoch 11/15 loss 0.1228 seg_src 0.1109 dom 0.0118 seg_tgt 0.0000 grl 1.00
+[14:17:16][     285s] epoch 12/15 loss 0.1150 seg_src 0.1045 dom 0.0105 seg_tgt 0.0000 grl 1.00
+[14:17:39][     309s] epoch 13/15 loss 0.1084 seg_src 0.0990 dom 0.0094 seg_tgt 0.0000 grl 1.00
+[14:18:03][     332s] epoch 14/15 loss 0.0900 seg_src 0.0805 dom 0.0095 seg_tgt 0.0000 grl 1.00
+[14:18:27][     357s] epoch 15/15 loss 0.0883 seg_src 0.0791 dom 0.0092 seg_tgt 0.0000 grl 1.00 val_dice 0.0680 | TEST patch_dice 0.2342 image_dice 0.2047
+[14:18:27][     357s] DONE test patch_dice 0.2342 image_dice 0.2047 patch_vi 0.6295 | cyclegan 0.0 min, train 5.9 min

baselines/adapt/bayzid-system-2/runs/membrane/katz-lab-berghia-connective/mtda_e15_b0_s2/result.json

@@ -0,0 +1,249 @@
+{
+  "task": "membrane",
+  "target": "katz-lab-berghia-connective",
+  "variant": "mtda",
+  "budget": 0.0,
+  "seed": 2,
+  "epochs": 15,
+  "steps_per_epoch": 80,
+  "labeled_patches": 0,
+  "train_pool": 636,
+  "sources": [
+    "octopus-vulgaris-vertical-lobe-sfltract"
+  ],
+  "args": {
+    "macs_repo": "/mnt/sdc1/connectomics/MACS-2",
+    "method": "mtda",
+    "source": "octopus-vulgaris-vertical-lobe-sfltract",
+    "task": "membrane",
+    "target": "katz-lab-berghia-connective",
+    "budget": 0.0,
+    "seed": 2,
+    "epochs": 15,
+    "max_steps": 400,
+    "bs": 8,
+    "src_bs": 8,
+    "lr": 0.0001,
+    "gamma": 10.0,
+    "mu": 0.1,
+    "gan_iters": 1500,
+    "gan_bs": 4,
+    "ngf": 32,
+    "sem_weight": 1.0,
+    "ema": 0.99,
+    "cons_weight": 1.0,
+    "mask_ratio": 0.5,
+    "kd_weight": 0.1,
+    "num_workers": 8,
+    "val_every": 5,
+    "test_epochs": "10",
+    "models_dir": "/mnt/sdc1/connectomics/MACS-2/models",
+    "out_root": "/mnt/sdc1/connectomics/MACS-baselines/adapt/results-macs",
+    "no_amp": false
+  },
+  "gan_seconds": 0.0,
+  "train_seconds": 355.58141589164734,
+  "test": {
+    "patch_dice": 0.23416119819656459,
+    "patch_iou": 0.16799201560606217,
+    "patch_precision": 0.8606141771050724,
+    "patch_recall": 0.17975514808824017,
+    "patch_vi": 0.6295373184384877,
+    "n_patches": 36,
+    "image_dice": 0.20470891160110258,
+    "image_iou": 0.1286963460797974,
+    "image_precision": 0.8740465526327219,
+    "image_recall": 0.14227377902396227,
+    "image_vi": 0.6243550413152845,
+    "n_images": 4,
+    "cal_ece": 0.17922023966019016,
+    "cal_nll": 0.8710109791539737,
+    "cal_brier": 0.21186940143013583,
+    "cal_mean_confidence": 0.9379391204461298,
+    "cal_accuracy": 0.7590874565972222,
+    "cal_predicted_prevalence": 0.06065538194444445,
+    "cal_true_prevalence": 0.2724880642361111,
+    "cal_mean_probability": 0.0884325755023762,
+    "_infer_s": 0.47495269775390625
+  },
+  "tests_by_epoch": {
+    "10": {
+      "patch_dice": 0.2613539598094752,
+      "patch_iou": 0.18527763474710282,
+      "patch_precision": 0.8670014132311011,
+      "patch_recall": 0.1998224814936622,
+      "patch_vi": 0.6600342702117894,
+      "n_patches": 36,
+      "image_dice": 0.22937037317790254,
+      "image_iou": 0.14978180819427278,
+      "image_precision": 0.8521648015636238,
+      "image_recall": 0.1701284372795986,
+      "image_vi": 0.6426625668243091,
+      "n_images": 4,
+      "cal_ece": 0.16773163858566573,
+      "cal_nll": 0.7466873447551422,
+      "cal_brier": 0.2021750107627534,
+      "cal_mean_confidence": 0.9278499111551102,
+      "cal_accuracy": 0.7601182725694444,
+      "cal_predicted_prevalence": 0.0744900173611111,
+      "cal_true_prevalence": 0.2724880642361111,
+      "cal_mean_probability": 0.10752979690715216,
+      "_infer_s": 0.4946131706237793
+    },
+    "15": {
+      "patch_dice": 0.23416119819656459,
+      "patch_iou": 0.16799201560606217,
+      "patch_precision": 0.8606141771050724,
+      "patch_recall": 0.17975514808824017,
+      "patch_vi": 0.6295373184384877,
+      "n_patches": 36,
+      "image_dice": 0.20470891160110258,
+      "image_iou": 0.1286963460797974,
+      "image_precision": 0.8740465526327219,
+      "image_recall": 0.14227377902396227,
+      "image_vi": 0.6243550413152845,
+      "n_images": 4,
+      "cal_ece": 0.17922023966019016,
+      "cal_nll": 0.8710109791539737,
+      "cal_brier": 0.21186940143013583,
+      "cal_mean_confidence": 0.9379391204461298,
+      "cal_accuracy": 0.7590874565972222,
+      "cal_predicted_prevalence": 0.06065538194444445,
+      "cal_true_prevalence": 0.2724880642361111,
+      "cal_mean_probability": 0.0884325755023762,
+      "_infer_s": 0.47495269775390625
+    }
+  },
+  "history": [
+    {
+      "epoch": 1,
+      "loss": 0.27496982757002114,
+      "seg_src": 0.2721926494501531,
+      "dom": 0.10924530821212101,
+      "seg_tgt": 0.0,
+      "grl": 0.05
+    },
+    {
+      "epoch": 2,
+      "loss": 0.20605663787573575,
+      "seg_src": 0.18689287062734367,
+      "dom": 0.1659128826111555,
+      "seg_tgt": 0.0,
+      "grl": 0.3426949069654601
+    },
+    {
+      "epoch": 3,
+      "loss": 0.19312909785658122,
+      "seg_src": 0.16326912473887206,
+      "dom": 0.08431673236191273,
+      "seg_tgt": 0.0,
+      "grl": 0.6133572603953825
+    },
+    {
+      "epoch": 4,
+      "loss": 0.20365384016186,
+      "seg_src": 0.16003165766596794,
+      "dom": 0.057693303236737846,
+      "seg_tgt": 0.0,
+      "grl": 0.7899988299594705
+    },
+    {
+      "epoch": 5,
+      "loss": 0.16949405502527953,
+      "seg_src": 0.14073695596307517,
+      "dom": 0.029152251221239565,
+      "seg_tgt": 0.0,
+      "grl": 0.8913734677347187,
+      "val_dice": 0.17824409891073748
+    },
+    {
+      "epoch": 6,
+      "loss": 0.170125100761652,
+      "seg_src": 0.14660092843696476,
+      "dom": 0.0235241734306328,
+      "seg_tgt": 0.0,
+      "grl": 0.9453064264076343
+    },
+    {
+      "epoch": 7,
+      "loss": 0.151477044634521,
+      "seg_src": 0.1350922178477049,
+      "dom": 0.016384828300215305,
+      "seg_tgt": 0.0,
+      "grl": 0.9728461661125112
+    },
+    {
+      "epoch": 8,
+      "loss": 0.1308849305845797,
+      "seg_src": 0.11776508525945246,
+      "dom": 0.013119845633627846,
+      "seg_tgt": 0.0,
+      "grl": 0.9866142981514305
+    },
+    {
+      "epoch": 9,
+      "loss": 0.11933515183627605,
+      "seg_src": 0.10666405828669667,
+      "dom": 0.01267109413165599,
+      "seg_tgt": 0.0,
+      "grl": 0.9934246772281319
+    },
+    {
+      "epoch": 10,
+      "loss": 0.10684170317836106,
+      "seg_src": 0.09566574334166944,
+      "dom": 0.011175960389664397,
+      "seg_tgt": 0.0,
+      "grl": 0.9967756945029476,
+      "val_dice": 0.09829712925179615,
+      "test_patch_dice": 0.2613539598094752,
+      "test_image_dice": 0.22937037317790254
+    },
+    {
+      "epoch": 11,
+      "loss": 0.1227813649456948,
+      "seg_src": 0.11093863304704428,
+      "dom": 0.011842731549404562,
+      "seg_tgt": 0.0,
+      "grl": 0.9984202681165271
+    },
+    {
+      "epoch": 12,
+      "loss": 0.11503393668681383,
+      "seg_src": 0.10453460731077939,
+      "dom": 0.010499329544836655,
+      "seg_tgt": 0.0,
+      "grl": 0.999226343498715
+    },
+    {
+      "epoch": 13,
+      "loss": 0.10840288773179055,
+      "seg_src": 0.09904473060742021,
+      "dom": 0.009358157287351787,
+      "seg_tgt": 0.0,
+      "grl": 0.9996211881123498
+    },
+    {
+      "epoch": 14,
+      "loss": 0.0900073267519474,
+      "seg_src": 0.08049571411684156,
+      "dom": 0.009511612547794358,
+      "seg_tgt": 0.0,
+      "grl": 0.9998145378686683
+    },
+    {
+      "epoch": 15,
+      "loss": 0.08834738181903959,
+      "seg_src": 0.07911583115346729,
+      "dom": 0.009231550633558072,
+      "seg_tgt": 0.0,
+      "grl": 0.9999092042625952,
+      "val_dice": 0.0680332333590704,
+      "test_patch_dice": 0.23416119819656459,
+      "test_image_dice": 0.20470891160110258
+    }
+  ],
+  "data_access": "sources: labeled train patches; target: unlabeled train pool + random upfront budget of train labels; val: logged only (no selection, final model); test: evaluation only",
+  "gpu": "NVIDIA GeForce RTX 3070",
+  "torch": "2.5.1+cu118"
+}

baselines/adapt/bayzid-system-2/runs/membrane/katz-lab-berghia-connective/mtda_e15_b0_s3/log.txt

@@ -0,0 +1,17 @@
+[01:46:36][       0s] START mtda target=katz-lab-berghia-connective task=membrane budget=0% (0/636 labeled) seed=3 epochs=15 x 80 steps | sources (1): octopus-vulgaris-vertical-lobe-sfltract | val 10 test 36 | bs=8 src_bs=8 lr=0.0001 mu=0.1 gamma=10.0 amp=True gpu=NVIDIA GeForce RTX 3070
+[01:47:09][      33s] epoch 1/15 loss 0.3652 seg_src 0.3629 dom 0.0851 seg_tgt 0.0000 grl 0.05
+[01:47:34][      59s] epoch 2/15 loss 0.2451 seg_src 0.2268 dom 0.1605 seg_tgt 0.0000 grl 0.34
+[01:48:00][      84s] epoch 3/15 loss 0.2345 seg_src 0.2098 dom 0.0687 seg_tgt 0.0000 grl 0.61
+[01:48:26][     110s] epoch 4/15 loss 0.2253 seg_src 0.1807 dom 0.0582 seg_tgt 0.0000 grl 0.79
+[01:48:53][     137s] epoch 5/15 loss 0.2095 seg_src 0.1744 dom 0.0356 seg_tgt 0.0000 grl 0.89 val_dice 0.2290
+[01:49:21][     165s] epoch 6/15 loss 0.1780 seg_src 0.1532 dom 0.0247 seg_tgt 0.0000 grl 0.95
+[01:49:47][     191s] epoch 7/15 loss 0.1743 seg_src 0.1518 dom 0.0224 seg_tgt 0.0000 grl 0.97
+[01:50:13][     217s] epoch 8/15 loss 0.1508 seg_src 0.1321 dom 0.0188 seg_tgt 0.0000 grl 0.99
+[01:50:38][     243s] epoch 9/15 loss 0.1440 seg_src 0.1269 dom 0.0171 seg_tgt 0.0000 grl 0.99
+[01:51:08][     272s] epoch 10/15 loss 0.1500 seg_src 0.1323 dom 0.0178 seg_tgt 0.0000 grl 1.00 val_dice 0.0865 | TEST patch_dice 0.2676 image_dice 0.2386
+[01:51:33][     298s] epoch 11/15 loss 0.1242 seg_src 0.1098 dom 0.0143 seg_tgt 0.0000 grl 1.00
+[01:52:02][     326s] epoch 12/15 loss 0.1050 seg_src 0.0908 dom 0.0142 seg_tgt 0.0000 grl 1.00
+[01:52:28][     352s] epoch 13/15 loss 0.1048 seg_src 0.0923 dom 0.0126 seg_tgt 0.0000 grl 1.00
+[01:52:53][     378s] epoch 14/15 loss 0.1089 seg_src 0.0977 dom 0.0113 seg_tgt 0.0000 grl 1.00
+[01:53:23][     407s] epoch 15/15 loss 0.1177 seg_src 0.1050 dom 0.0127 seg_tgt 0.0000 grl 1.00 val_dice 0.1244 | TEST patch_dice 0.2950 image_dice 0.2631
+[01:53:24][     408s] DONE test patch_dice 0.2950 image_dice 0.2631 patch_vi 0.7246 | cyclegan 0.0 min, train 6.7 min

baselines/adapt/bayzid-system-2/runs/membrane/katz-lab-berghia-connective/mtda_e15_b0_s3/result.json

@@ -0,0 +1,249 @@
+{
+  "task": "membrane",
+  "target": "katz-lab-berghia-connective",
+  "variant": "mtda",
+  "budget": 0.0,
+  "seed": 3,
+  "epochs": 15,
+  "steps_per_epoch": 80,
+  "labeled_patches": 0,
+  "train_pool": 636,
+  "sources": [
+    "octopus-vulgaris-vertical-lobe-sfltract"
+  ],
+  "args": {
+    "macs_repo": "/mnt/sdc1/connectomics/MACS-2",
+    "method": "mtda",
+    "source": "octopus-vulgaris-vertical-lobe-sfltract",
+    "task": "membrane",
+    "target": "katz-lab-berghia-connective",
+    "budget": 0.0,
+    "seed": 3,
+    "epochs": 15,
+    "max_steps": 400,
+    "bs": 8,
+    "src_bs": 8,
+    "lr": 0.0001,
+    "gamma": 10.0,
+    "mu": 0.1,
+    "gan_iters": 1500,
+    "gan_bs": 4,
+    "ngf": 32,
+    "sem_weight": 1.0,
+    "ema": 0.99,
+    "cons_weight": 1.0,
+    "mask_ratio": 0.5,
+    "kd_weight": 0.1,
+    "num_workers": 8,
+    "val_every": 5,
+    "test_epochs": "10",
+    "models_dir": "/mnt/sdc1/connectomics/MACS-2/models",
+    "out_root": "/mnt/sdc1/connectomics/MACS-baselines/adapt/results-macs",
+    "no_amp": false
+  },
+  "gan_seconds": 0.0,
+  "train_seconds": 403.75626158714294,
+  "test": {
+    "patch_dice": 0.2950398084884782,
+    "patch_iou": 0.21306622688717966,
+    "patch_precision": 0.6112228471561933,
+    "patch_recall": 0.24589578894512545,
+    "patch_vi": 0.7245983227012267,
+    "n_patches": 36,
+    "image_dice": 0.26306472844916007,
+    "image_iou": 0.17847696049259087,
+    "image_precision": 0.32240019719668067,
+    "image_recall": 0.22497627585078495,
+    "image_vi": 0.705039831864241,
+    "n_images": 4,
+    "cal_ece": 0.17160859003664536,
+    "cal_nll": 0.8099635738164855,
+    "cal_brier": 0.20810292508916797,
+    "cal_mean_confidence": 0.9275953910376428,
+    "cal_accuracy": 0.7567003038194444,
+    "cal_predicted_prevalence": 0.11485460069444445,
+    "cal_true_prevalence": 0.2724880642361111,
+    "cal_mean_probability": 0.1383296776282427,
+    "_infer_s": 1.8040714263916016
+  },
+  "tests_by_epoch": {
+    "10": {
+      "patch_dice": 0.2675595907940047,
+      "patch_iou": 0.1903583920152703,
+      "patch_precision": 0.5858194303914359,
+      "patch_recall": 0.21214475631425816,
+      "patch_vi": 0.700033253770803,
+      "n_patches": 36,
+      "image_dice": 0.2385516928571647,
+      "image_iou": 0.1572795167712923,
+      "image_precision": 0.5826093287875581,
+      "image_recall": 0.18749018878789236,
+      "image_vi": 0.6819527815100141,
+      "n_images": 4,
+      "cal_ece": 0.17130346766875487,
+      "cal_nll": 0.7890428556551223,
+      "cal_brier": 0.21591438178586525,
+      "cal_mean_confidence": 0.8850782752016548,
+      "cal_accuracy": 0.7544487847222222,
+      "cal_predicted_prevalence": 0.09052191840277778,
+      "cal_true_prevalence": 0.2724880642361111,
+      "cal_mean_probability": 0.1562449054231683,
+      "_infer_s": 2.0892269611358643
+    },
+    "15": {
+      "patch_dice": 0.2950398084884782,
+      "patch_iou": 0.21306622688717966,
+      "patch_precision": 0.6112228471561933,
+      "patch_recall": 0.24589578894512545,
+      "patch_vi": 0.7245983227012267,
+      "n_patches": 36,
+      "image_dice": 0.26306472844916007,
+      "image_iou": 0.17847696049259087,
+      "image_precision": 0.32240019719668067,
+      "image_recall": 0.22497627585078495,
+      "image_vi": 0.705039831864241,
+      "n_images": 4,
+      "cal_ece": 0.17160859003664536,
+      "cal_nll": 0.8099635738164855,
+      "cal_brier": 0.20810292508916797,
+      "cal_mean_confidence": 0.9275953910376428,
+      "cal_accuracy": 0.7567003038194444,
+      "cal_predicted_prevalence": 0.11485460069444445,
+      "cal_true_prevalence": 0.2724880642361111,
+      "cal_mean_probability": 0.1383296776282427,
+      "_infer_s": 1.8040714263916016
+    }
+  },
+  "history": [
+    {
+      "epoch": 1,
+      "loss": 0.3652059374377131,
+      "seg_src": 0.3629474576562643,
+      "dom": 0.08508188252453693,
+      "seg_tgt": 0.0,
+      "grl": 0.05
+    },
+    {
+      "epoch": 2,
+      "loss": 0.24508880358189344,
+      "seg_src": 0.22677589021623135,
+      "dom": 0.1605249279178679,
+      "seg_tgt": 0.0,
+      "grl": 0.3426949069654601
+    },
+    {
+      "epoch": 3,
+      "loss": 0.23452210277318955,
+      "seg_src": 0.20975384581834078,
+      "dom": 0.06870111580938101,
+      "seg_tgt": 0.0,
+      "grl": 0.6133572603953825
+    },
+    {
+      "epoch": 4,
+      "loss": 0.22532249074429272,
+      "seg_src": 0.1806920463219285,
+      "dom": 0.05819401750341058,
+      "seg_tgt": 0.0,
+      "grl": 0.7899988299594705
+    },
+    {
+      "epoch": 5,
+      "loss": 0.20952771231532097,
+      "seg_src": 0.17443668022751807,
+      "dom": 0.03557336730882525,
+      "seg_tgt": 0.0,
+      "grl": 0.8913734677347187,
+      "val_dice": 0.2289505046586878
+    },
+    {
+      "epoch": 6,
+      "loss": 0.17796930000185968,
+      "seg_src": 0.1532471458427608,
+      "dom": 0.024722154310438782,
+      "seg_tgt": 0.0,
+      "grl": 0.9453064264076343
+    },
+    {
+      "epoch": 7,
+      "loss": 0.1742655774578452,
+      "seg_src": 0.15184004008769988,
+      "dom": 0.02242553821997717,
+      "seg_tgt": 0.0,
+      "grl": 0.9728461661125112
+    },
+    {
+      "epoch": 8,
+      "loss": 0.15083973864093422,
+      "seg_src": 0.13207088485360147,
+      "dom": 0.018768853379879148,
+      "seg_tgt": 0.0,
+      "grl": 0.9866142981514305
+    },
+    {
+      "epoch": 9,
+      "loss": 0.14399311020970346,
+      "seg_src": 0.12689657434821128,
+      "dom": 0.017096535570453854,
+      "seg_tgt": 0.0,
+      "grl": 0.9934246772281319
+    },
+    {
+      "epoch": 10,
+      "loss": 0.1500442296266556,
+      "seg_src": 0.1322936070151627,
+      "dom": 0.017750623443862423,
+      "seg_tgt": 0.0,
+      "grl": 0.9967756945029476,
+      "val_dice": 0.08645064572290735,
+      "test_patch_dice": 0.2675595907940047,
+      "test_image_dice": 0.2385516928571647
+    },
+    {
+      "epoch": 11,
+      "loss": 0.12415943518280984,
+      "seg_src": 0.10983171942643821,
+      "dom": 0.014327716338448227,
+      "seg_tgt": 0.0,
+      "grl": 0.9984202681165271
+    },
+    {
+      "epoch": 12,
+      "loss": 0.1049761046655476,
+      "seg_src": 0.09075162233784795,
+      "dom": 0.014224482257850469,
+      "seg_tgt": 0.0,
+      "grl": 0.999226343498715
+    },
+    {
+      "epoch": 13,
+      "loss": 0.10484583582729101,
+      "seg_src": 0.09225363447330892,
+      "dom": 0.012592201808001847,
+      "seg_tgt": 0.0,
+      "grl": 0.9996211881123498
+    },
+    {
+      "epoch": 14,
+      "loss": 0.10892397612333297,
+      "seg_src": 0.09765245704911649,
+      "dom": 0.011271518911235035,
+      "seg_tgt": 0.0,
+      "grl": 0.9998145378686683
+    },
+    {
+      "epoch": 15,
+      "loss": 0.11771768047474325,
+      "seg_src": 0.1049884935375303,
+      "dom": 0.012729186774231493,
+      "seg_tgt": 0.0,
+      "grl": 0.9999092042625952,
+      "val_dice": 0.12435815054620736,
+      "test_patch_dice": 0.2950398084884782,
+      "test_image_dice": 0.26306472844916007
+    }
+  ],
+  "data_access": "sources: labeled train patches; target: unlabeled train pool + random upfront budget of train labels; val: logged only (no selection, final model); test: evaluation only",
+  "gpu": "NVIDIA GeForce RTX 3070",
+  "torch": "2.5.1+cu118"
+}

baselines/adapt/bayzid-system-2/runs/membrane/katz-lab-berghia-connective/mtda_e15_b100_s2/log.txt

@@ -0,0 +1,17 @@
+[14:04:12][       0s] START mtda target=katz-lab-berghia-connective task=membrane budget=100% (636/636 labeled) seed=2 epochs=15 x 80 steps | sources (1): octopus-vulgaris-vertical-lobe-sfltract | val 10 test 36 | bs=8 src_bs=8 lr=0.0001 mu=0.1 gamma=10.0 amp=True gpu=NVIDIA GeForce RTX 3070
+[14:04:45][      34s] epoch 1/15 loss 0.6631 seg_src 0.3095 dom 0.1455 seg_tgt 0.3498 grl 0.05
+[14:05:18][      66s] epoch 2/15 loss 0.4885 seg_src 0.2000 dom 0.2461 seg_tgt 0.2598 grl 0.34
+[14:05:51][      99s] epoch 3/15 loss 0.4768 seg_src 0.1879 dom 0.1548 seg_tgt 0.2363 grl 0.61
+[14:06:24][     132s] epoch 4/15 loss 0.4836 seg_src 0.1876 dom 0.0681 seg_tgt 0.2444 grl 0.79
+[14:06:57][     165s] epoch 5/15 loss 0.3862 seg_src 0.1528 dom 0.0387 seg_tgt 0.1952 grl 0.89 val_dice 0.0610
+[14:07:30][     198s] epoch 6/15 loss 0.3745 seg_src 0.1537 dom 0.0340 seg_tgt 0.1867 grl 0.95
+[14:08:03][     231s] epoch 7/15 loss 0.3450 seg_src 0.1438 dom 0.0297 seg_tgt 0.1715 grl 0.97
+[14:08:36][     264s] epoch 8/15 loss 0.3155 seg_src 0.1354 dom 0.0242 seg_tgt 0.1559 grl 0.99
+[14:09:09][     297s] epoch 9/15 loss 0.3176 seg_src 0.1400 dom 0.0222 seg_tgt 0.1554 grl 0.99
+[14:09:42][     331s] epoch 10/15 loss 0.2874 seg_src 0.1232 dom 0.0238 seg_tgt 0.1404 grl 1.00 val_dice 0.1221 | TEST patch_dice 0.3021 image_dice 0.2567
+[14:10:15][     363s] epoch 11/15 loss 0.2477 seg_src 0.0976 dom 0.0212 seg_tgt 0.1290 grl 1.00
+[14:10:48][     397s] epoch 12/15 loss 0.2571 seg_src 0.1152 dom 0.0202 seg_tgt 0.1218 grl 1.00
+[14:11:21][     429s] epoch 13/15 loss 0.2377 seg_src 0.0981 dom 0.0221 seg_tgt 0.1176 grl 1.00
+[14:11:54][     462s] epoch 14/15 loss 0.2272 seg_src 0.1011 dom 0.0206 seg_tgt 0.1055 grl 1.00
+[14:12:27][     496s] epoch 15/15 loss 0.2220 seg_src 0.0973 dom 0.0189 seg_tgt 0.1059 grl 1.00 val_dice 0.2813 | TEST patch_dice 0.3377 image_dice 0.2812
+[14:12:28][     496s] DONE test patch_dice 0.3377 image_dice 0.2812 patch_vi 0.6404 | cyclegan 0.0 min, train 8.2 min

baselines/adapt/bayzid-system-2/runs/membrane/katz-lab-berghia-connective/mtda_e15_b100_s2/result.json

@@ -0,0 +1,249 @@
+{
+  "task": "membrane",
+  "target": "katz-lab-berghia-connective",
+  "variant": "mtda",
+  "budget": 100.0,
+  "seed": 2,
+  "epochs": 15,
+  "steps_per_epoch": 80,
+  "labeled_patches": 636,
+  "train_pool": 636,
+  "sources": [
+    "octopus-vulgaris-vertical-lobe-sfltract"
+  ],
+  "args": {
+    "macs_repo": "/mnt/sdc1/connectomics/MACS-2",
+    "method": "mtda",
+    "source": "octopus-vulgaris-vertical-lobe-sfltract",
+    "task": "membrane",
+    "target": "katz-lab-berghia-connective",
+    "budget": 100.0,
+    "seed": 2,
+    "epochs": 15,
+    "max_steps": 400,
+    "bs": 8,
+    "src_bs": 8,
+    "lr": 0.0001,
+    "gamma": 10.0,
+    "mu": 0.1,
+    "gan_iters": 1500,
+    "gan_bs": 4,
+    "ngf": 32,
+    "sem_weight": 1.0,
+    "ema": 0.99,
+    "cons_weight": 1.0,
+    "mask_ratio": 0.5,
+    "kd_weight": 0.1,
+    "num_workers": 8,
+    "val_every": 5,
+    "test_epochs": "10",
+    "models_dir": "/mnt/sdc1/connectomics/MACS-2/models",
+    "out_root": "/mnt/sdc1/connectomics/MACS-baselines/adapt/results-macs",
+    "no_amp": false
+  },
+  "gan_seconds": 0.0,
+  "train_seconds": 494.6393949985504,
+  "test": {
+    "patch_dice": 0.3377355193972076,
+    "patch_iou": 0.2399279179522155,
+    "patch_precision": 0.7072058632534771,
+    "patch_recall": 0.2760362608019093,
+    "patch_vi": 0.64035079742138,
+    "n_patches": 36,
+    "image_dice": 0.2811843449525601,
+    "image_iou": 0.17666334922714189,
+    "image_precision": 0.688847347334703,
+    "image_recall": 0.1840062638445396,
+    "image_vi": 0.6241785714976893,
+    "n_images": 4,
+    "cal_ece": 0.16239299961982095,
+    "cal_nll": 0.7236794230812791,
+    "cal_brier": 0.19438833569332292,
+    "cal_mean_confidence": 0.9376807910871574,
+    "cal_accuracy": 0.7762044270833334,
+    "cal_predicted_prevalence": 0.078857421875,
+    "cal_true_prevalence": 0.2724880642361111,
+    "cal_mean_probability": 0.10311306663114313,
+    "_infer_s": 0.46794581413269043
+  },
+  "tests_by_epoch": {
+    "10": {
+      "patch_dice": 0.3020528117123261,
+      "patch_iou": 0.20626546259132814,
+      "patch_precision": 0.7919284601738085,
+      "patch_recall": 0.2167339106783512,
+      "patch_vi": 0.6359784206659378,
+      "n_patches": 36,
+      "image_dice": 0.25671991285820406,
+      "image_iou": 0.1529397479274975,
+      "image_precision": 0.6987563963313097,
+      "image_recall": 0.15895525832938115,
+      "image_vi": 0.636742058434265,
+      "n_images": 4,
+      "cal_ece": 0.15466598766988682,
+      "cal_nll": 0.656134778887753,
+      "cal_brier": 0.1908828555629014,
+      "cal_mean_confidence": 0.9168656682575905,
+      "cal_accuracy": 0.762451171875,
+      "cal_predicted_prevalence": 0.056586371527777776,
+      "cal_true_prevalence": 0.2724880642361111,
+      "cal_mean_probability": 0.10273371075360653,
+      "_infer_s": 0.4721415042877197
+    },
+    "15": {
+      "patch_dice": 0.3377355193972076,
+      "patch_iou": 0.2399279179522155,
+      "patch_precision": 0.7072058632534771,
+      "patch_recall": 0.2760362608019093,
+      "patch_vi": 0.64035079742138,
+      "n_patches": 36,
+      "image_dice": 0.2811843449525601,
+      "image_iou": 0.17666334922714189,
+      "image_precision": 0.688847347334703,
+      "image_recall": 0.1840062638445396,
+      "image_vi": 0.6241785714976893,
+      "n_images": 4,
+      "cal_ece": 0.16239299961982095,
+      "cal_nll": 0.7236794230812791,
+      "cal_brier": 0.19438833569332292,
+      "cal_mean_confidence": 0.9376807910871574,
+      "cal_accuracy": 0.7762044270833334,
+      "cal_predicted_prevalence": 0.078857421875,
+      "cal_true_prevalence": 0.2724880642361111,
+      "cal_mean_probability": 0.10311306663114313,
+      "_infer_s": 0.46794581413269043
+    }
+  },
+  "history": [
+    {
+      "epoch": 1,
+      "loss": 0.6630573388189077,
+      "seg_src": 0.3094807453453541,
+      "dom": 0.14549876180244609,
+      "seg_tgt": 0.3497588220983744,
+      "grl": 0.05
+    },
+    {
+      "epoch": 2,
+      "loss": 0.4884804427623749,
+      "seg_src": 0.19996991502121092,
+      "dom": 0.24611542262136937,
+      "seg_tgt": 0.25978290364146234,
+      "grl": 0.3426949069654601
+    },
+    {
+      "epoch": 3,
+      "loss": 0.4768349200487137,
+      "seg_src": 0.1879496045410633,
+      "dom": 0.1547615965362638,
+      "seg_tgt": 0.236280226521194,
+      "grl": 0.6133572603953825
+    },
+    {
+      "epoch": 4,
+      "loss": 0.48360538445413115,
+      "seg_src": 0.18755605313926935,
+      "dom": 0.06813707572873681,
+      "seg_tgt": 0.2444423262961209,
+      "grl": 0.7899988299594705
+    },
+    {
+      "epoch": 5,
+      "loss": 0.38615761138498783,
+      "seg_src": 0.15275823762640356,
+      "dom": 0.038721024175174534,
+      "seg_tgt": 0.19516868889331818,
+      "grl": 0.8913734677347187,
+      "val_dice": 0.06100383656196486
+    },
+    {
+      "epoch": 6,
+      "loss": 0.3744843155145645,
+      "seg_src": 0.15370534458197654,
+      "dom": 0.03403993735555559,
+      "seg_tgt": 0.1867390346713364,
+      "grl": 0.9453064264076343
+    },
+    {
+      "epoch": 7,
+      "loss": 0.34496419932693245,
+      "seg_src": 0.14379059746861458,
+      "dom": 0.02965880058472976,
+      "seg_tgt": 0.1715147982351482,
+      "grl": 0.9728461661125112
+    },
+    {
+      "epoch": 8,
+      "loss": 0.3154688594862819,
+      "seg_src": 0.135384975746274,
+      "dom": 0.0241772536188364,
+      "seg_tgt": 0.15590662993490695,
+      "grl": 0.9866142981514305
+    },
+    {
+      "epoch": 9,
+      "loss": 0.31762522999197246,
+      "seg_src": 0.14000854357145726,
+      "dom": 0.02219087346456945,
+      "seg_tgt": 0.15542581300251185,
+      "grl": 0.9934246772281319
+    },
+    {
+      "epoch": 10,
+      "loss": 0.2874236799776554,
+      "seg_src": 0.12317195851355792,
+      "dom": 0.023833567870315164,
+      "seg_tgt": 0.14041815190576018,
+      "grl": 0.9967756945029476,
+      "val_dice": 0.12213620506382065,
+      "test_patch_dice": 0.3020528117123261,
+      "test_image_dice": 0.25671991285820406
+    },
+    {
+      "epoch": 11,
+      "loss": 0.24773446843028069,
+      "seg_src": 0.09759856858290732,
+      "dom": 0.021156995615456253,
+      "seg_tgt": 0.1289789043366909,
+      "grl": 0.9984202681165271
+    },
+    {
+      "epoch": 12,
+      "loss": 0.2570831269025803,
+      "seg_src": 0.11516106547787786,
+      "dom": 0.02016352182836272,
+      "seg_tgt": 0.12175854062661529,
+      "grl": 0.999226343498715
+    },
+    {
+      "epoch": 13,
+      "loss": 0.23774932269006968,
+      "seg_src": 0.09805500670336187,
+      "dom": 0.022115787386428564,
+      "seg_tgt": 0.11757852849550546,
+      "grl": 0.9996211881123498
+    },
+    {
+      "epoch": 14,
+      "loss": 0.22719520051032305,
+      "seg_src": 0.10105454297736287,
+      "dom": 0.02060666600591503,
+      "seg_tgt": 0.10553399147465825,
+      "grl": 0.9998145378686683
+    },
+    {
+      "epoch": 15,
+      "loss": 0.2220446366816759,
+      "seg_src": 0.09728981833904982,
+      "dom": 0.018903350416803733,
+      "seg_tgt": 0.10585146946832538,
+      "grl": 0.9999092042625952,
+      "val_dice": 0.2812888205992124,
+      "test_patch_dice": 0.3377355193972076,
+      "test_image_dice": 0.2811843449525601
+    }
+  ],
+  "data_access": "sources: labeled train patches; target: unlabeled train pool + random upfront budget of train labels; val: logged only (no selection, final model); test: evaluation only",
+  "gpu": "NVIDIA GeForce RTX 3070",
+  "torch": "2.5.1+cu118"
+}

baselines/adapt/bayzid-system-2/runs/membrane/katz-lab-berghia-connective/mtda_e15_b100_s3/log.txt

@@ -0,0 +1,17 @@
+[01:37:00][       1s] START mtda target=katz-lab-berghia-connective task=membrane budget=100% (636/636 labeled) seed=3 epochs=15 x 80 steps | sources (1): octopus-vulgaris-vertical-lobe-sfltract | val 10 test 36 | bs=8 src_bs=8 lr=0.0001 mu=0.1 gamma=10.0 amp=True gpu=NVIDIA GeForce RTX 3070
+[01:37:47][      47s] epoch 1/15 loss 0.8691 seg_src 0.4014 dom 0.0979 seg_tgt 0.4652 grl 0.05
+[01:38:22][      83s] epoch 2/15 loss 0.6938 seg_src 0.2999 dom 0.1762 seg_tgt 0.3735 grl 0.34
+[01:38:58][     119s] epoch 3/15 loss 0.6544 seg_src 0.2585 dom 0.1659 seg_tgt 0.3359 grl 0.61
+[01:39:34][     155s] epoch 4/15 loss 0.6031 seg_src 0.2378 dom 0.0845 seg_tgt 0.3035 grl 0.79
+[01:40:13][     194s] epoch 5/15 loss 0.5102 seg_src 0.2117 dom 0.0326 seg_tgt 0.2663 grl 0.89 val_dice 0.2777
+[01:40:51][     232s] epoch 6/15 loss 0.4390 seg_src 0.1809 dom 0.0293 seg_tgt 0.2287 grl 0.95
+[01:41:27][     268s] epoch 7/15 loss 0.3976 seg_src 0.1656 dom 0.0270 seg_tgt 0.2050 grl 0.97
+[01:42:03][     304s] epoch 8/15 loss 0.3743 seg_src 0.1573 dom 0.0288 seg_tgt 0.1882 grl 0.99
+[01:42:40][     340s] epoch 9/15 loss 0.3307 seg_src 0.1378 dom 0.0272 seg_tgt 0.1657 grl 0.99
+[01:43:20][     380s] epoch 10/15 loss 0.3189 seg_src 0.1375 dom 0.0245 seg_tgt 0.1569 grl 1.00 val_dice 0.1248 | TEST patch_dice 0.2810 image_dice 0.2327
+[01:43:55][     416s] epoch 11/15 loss 0.3113 seg_src 0.1398 dom 0.0242 seg_tgt 0.1474 grl 1.00
+[01:44:34][     455s] epoch 12/15 loss 0.2572 seg_src 0.1109 dom 0.0217 seg_tgt 0.1246 grl 1.00
+[01:45:10][     491s] epoch 13/15 loss 0.2419 seg_src 0.1005 dom 0.0220 seg_tgt 0.1194 grl 1.00
+[01:45:47][     527s] epoch 14/15 loss 0.2419 seg_src 0.1103 dom 0.0205 seg_tgt 0.1112 grl 1.00
+[01:46:26][     567s] epoch 15/15 loss 0.2421 seg_src 0.1099 dom 0.0227 seg_tgt 0.1094 grl 1.00 val_dice 0.1299 | TEST patch_dice 0.3711 image_dice 0.3571
+[01:46:27][     568s] DONE test patch_dice 0.3711 image_dice 0.3571 patch_vi 0.6753 | cyclegan 0.0 min, train 9.4 min

baselines/adapt/bayzid-system-2/runs/membrane/katz-lab-berghia-connective/mtda_e15_b100_s3/result.json

@@ -0,0 +1,249 @@
+{
+  "task": "membrane",
+  "target": "katz-lab-berghia-connective",
+  "variant": "mtda",
+  "budget": 100.0,
+  "seed": 3,
+  "epochs": 15,
+  "steps_per_epoch": 80,
+  "labeled_patches": 636,
+  "train_pool": 636,
+  "sources": [
+    "octopus-vulgaris-vertical-lobe-sfltract"
+  ],
+  "args": {
+    "macs_repo": "/mnt/sdc1/connectomics/MACS-2",
+    "method": "mtda",
+    "source": "octopus-vulgaris-vertical-lobe-sfltract",
+    "task": "membrane",
+    "target": "katz-lab-berghia-connective",
+    "budget": 100.0,
+    "seed": 3,
+    "epochs": 15,
+    "max_steps": 400,
+    "bs": 8,
+    "src_bs": 8,
+    "lr": 0.0001,
+    "gamma": 10.0,
+    "mu": 0.1,
+    "gan_iters": 1500,
+    "gan_bs": 4,
+    "ngf": 32,
+    "sem_weight": 1.0,
+    "ema": 0.99,
+    "cons_weight": 1.0,
+    "mask_ratio": 0.5,
+    "kd_weight": 0.1,
+    "num_workers": 8,
+    "val_every": 5,
+    "test_epochs": "10",
+    "models_dir": "/mnt/sdc1/connectomics/MACS-2/models",
+    "out_root": "/mnt/sdc1/connectomics/MACS-baselines/adapt/results-macs",
+    "no_amp": false
+  },
+  "gan_seconds": 0.0,
+  "train_seconds": 561.9923629760742,
+  "test": {
+    "patch_dice": 0.3710740340286422,
+    "patch_iou": 0.2571798976984204,
+    "patch_precision": 0.7624393638044815,
+    "patch_recall": 0.29536116036680937,
+    "patch_vi": 0.6753318577069399,
+    "n_patches": 36,
+    "image_dice": 0.3570937630886566,
+    "image_iou": 0.22859723948898436,
+    "image_precision": 0.6959398696691951,
+    "image_recall": 0.246830871843337,
+    "image_vi": 0.6659201891684654,
+    "n_images": 4,
+    "cal_ece": 0.1666340726452391,
+    "cal_nll": 0.8734806283265333,
+    "cal_brier": 0.19936151671545302,
+    "cal_mean_confidence": 0.9420452464144344,
+    "cal_accuracy": 0.7759602864583334,
+    "cal_predicted_prevalence": 0.0827907986111111,
+    "cal_true_prevalence": 0.2724880642361111,
+    "cal_mean_probability": 0.10185369331621688,
+    "_infer_s": 1.8387885093688965
+  },
+  "tests_by_epoch": {
+    "10": {
+      "patch_dice": 0.2810375947595158,
+      "patch_iou": 0.19185500247221327,
+      "patch_precision": 0.7446550449653923,
+      "patch_recall": 0.20088139457604248,
+      "patch_vi": 0.6436435633728051,
+      "n_patches": 36,
+      "image_dice": 0.23273477495207806,
+      "image_iou": 0.13824569897255407,
+      "image_precision": 0.6647561098801686,
+      "image_recall": 0.14425357212739864,
+      "image_vi": 0.6521663169929887,
+      "n_images": 4,
+      "cal_ece": 0.16251984556719082,
+      "cal_nll": 0.7075518506512943,
+      "cal_brier": 0.19901780191104612,
+      "cal_mean_confidence": 0.9158955147129922,
+      "cal_accuracy": 0.7536349826388888,
+      "cal_predicted_prevalence": 0.055745442708333336,
+      "cal_true_prevalence": 0.2724880642361111,
+      "cal_mean_probability": 0.10432628470502753,
+      "_infer_s": 2.1065480709075928
+    },
+    "15": {
+      "patch_dice": 0.3710740340286422,
+      "patch_iou": 0.2571798976984204,
+      "patch_precision": 0.7624393638044815,
+      "patch_recall": 0.29536116036680937,
+      "patch_vi": 0.6753318577069399,
+      "n_patches": 36,
+      "image_dice": 0.3570937630886566,
+      "image_iou": 0.22859723948898436,
+      "image_precision": 0.6959398696691951,
+      "image_recall": 0.246830871843337,
+      "image_vi": 0.6659201891684654,
+      "n_images": 4,
+      "cal_ece": 0.1666340726452391,
+      "cal_nll": 0.8734806283265333,
+      "cal_brier": 0.19936151671545302,
+      "cal_mean_confidence": 0.9420452464144344,
+      "cal_accuracy": 0.7759602864583334,
+      "cal_predicted_prevalence": 0.0827907986111111,
+      "cal_true_prevalence": 0.2724880642361111,
+      "cal_mean_probability": 0.10185369331621688,
+      "_infer_s": 1.8387885093688965
+    }
+  },
+  "history": [
+    {
+      "epoch": 1,
+      "loss": 0.8691117353737354,
+      "seg_src": 0.40136141125112773,
+      "dom": 0.09788146858336404,
+      "seg_tgt": 0.4651537422090769,
+      "grl": 0.05
+    },
+    {
+      "epoch": 2,
+      "loss": 0.6938332974910736,
+      "seg_src": 0.29992000125348567,
+      "dom": 0.17624034080654383,
+      "seg_tgt": 0.3734610166400671,
+      "grl": 0.3426949069654601
+    },
+    {
+      "epoch": 3,
+      "loss": 0.6543841660022736,
+      "seg_src": 0.25851225219666957,
+      "dom": 0.1659022867679596,
+      "seg_tgt": 0.33592691384255885,
+      "grl": 0.6133572603953825
+    },
+    {
+      "epoch": 4,
+      "loss": 0.6030535481870174,
+      "seg_src": 0.23777785524725914,
+      "dom": 0.08452705501113086,
+      "seg_tgt": 0.30345163475722076,
+      "grl": 0.7899988299594705
+    },
+    {
+      "epoch": 5,
+      "loss": 0.5101852145045995,
+      "seg_src": 0.2116529868915677,
+      "dom": 0.03257146264659241,
+      "seg_tgt": 0.2663479957729578,
+      "grl": 0.8913734677347187,
+      "val_dice": 0.27766318115854494
+    },
+    {
+      "epoch": 6,
+      "loss": 0.4389918576925993,
+      "seg_src": 0.18094228431582451,
+      "dom": 0.029324917425401508,
+      "seg_tgt": 0.2287246523424983,
+      "grl": 0.9453064264076343
+    },
+    {
+      "epoch": 7,
+      "loss": 0.39756673462688924,
+      "seg_src": 0.1655739178881049,
+      "dom": 0.02703534922329709,
+      "seg_tgt": 0.20495746629312633,
+      "grl": 0.9728461661125112
+    },
+    {
+      "epoch": 8,
+      "loss": 0.37428375892341137,
+      "seg_src": 0.15729594714939593,
+      "dom": 0.028793314122594893,
+      "seg_tgt": 0.1881944976747036,
+      "grl": 0.9866142981514305
+    },
+    {
+      "epoch": 9,
+      "loss": 0.3306607432663441,
+      "seg_src": 0.13776697274297475,
+      "dom": 0.027199355291668326,
+      "seg_tgt": 0.1656944158487022,
+      "grl": 0.9934246772281319
+    },
+    {
+      "epoch": 10,
+      "loss": 0.31889116000384093,
+      "seg_src": 0.13747539361938835,
+      "dom": 0.024488610308617355,
+      "seg_tgt": 0.1569271570071578,
+      "grl": 0.9967756945029476,
+      "val_dice": 0.1248273498342801,
+      "test_patch_dice": 0.2810375947595158,
+      "test_image_dice": 0.23273477495207806
+    },
+    {
+      "epoch": 11,
+      "loss": 0.31134921330958604,
+      "seg_src": 0.13979803742840885,
+      "dom": 0.024186477123294026,
+      "seg_tgt": 0.1473646975122392,
+      "grl": 0.9984202681165271
+    },
+    {
+      "epoch": 12,
+      "loss": 0.25715432576835157,
+      "seg_src": 0.11092903423123061,
+      "dom": 0.021656315412838013,
+      "seg_tgt": 0.1245689757168293,
+      "grl": 0.999226343498715
+    },
+    {
+      "epoch": 13,
+      "loss": 0.2418895283713937,
+      "seg_src": 0.10048351073637604,
+      "dom": 0.021969293325673787,
+      "seg_tgt": 0.11943672439083457,
+      "grl": 0.9996211881123498
+    },
+    {
+      "epoch": 14,
+      "loss": 0.241933536157012,
+      "seg_src": 0.11026151017285883,
+      "dom": 0.02045552374329418,
+      "seg_tgt": 0.11121650286950172,
+      "grl": 0.9998145378686683
+    },
+    {
+      "epoch": 15,
+      "loss": 0.24208531361073254,
+      "seg_src": 0.10992237473838032,
+      "dom": 0.02273268824792467,
+      "seg_tgt": 0.10943025061860681,
+      "grl": 0.9999092042625952,
+      "val_dice": 0.1299139024089714,
+      "test_patch_dice": 0.3710740340286422,
+      "test_image_dice": 0.3570937630886566
+    }
+  ],
+  "data_access": "sources: labeled train patches; target: unlabeled train pool + random upfront budget of train labels; val: logged only (no selection, final model); test: evaluation only",
+  "gpu": "NVIDIA GeForce RTX 3070",
+  "torch": "2.5.1+cu118"
+}

baselines/adapt/bayzid-system-2/runs/membrane/katz-lab-berghia-connective/mtda_e15_b10_s2/log.txt

@@ -0,0 +1,17 @@
+[16:01:23][       0s] START mtda target=katz-lab-berghia-connective task=membrane budget=10% (63/636 labeled) seed=2 epochs=15 x 80 steps | sources (1): octopus-vulgaris-vertical-lobe-sfltract | val 10 test 36 | bs=8 src_bs=8 lr=0.0001 mu=0.1 gamma=10.0 amp=True gpu=NVIDIA GeForce RTX 3070
+[16:01:58][      35s] epoch 1/15 loss 0.6054 seg_src 0.3018 dom 0.1665 seg_tgt 0.2992 grl 0.05
+[16:02:31][      68s] epoch 2/15 loss 0.4647 seg_src 0.2022 dom 0.2632 seg_tgt 0.2320 grl 0.34
+[16:03:04][     101s] epoch 3/15 loss 0.4550 seg_src 0.1854 dom 0.1789 seg_tgt 0.2055 grl 0.61
+[16:03:37][     134s] epoch 4/15 loss 0.4102 seg_src 0.1771 dom 0.0627 seg_tgt 0.1867 grl 0.79
+[16:04:10][     168s] epoch 5/15 loss 0.3526 seg_src 0.1482 dom 0.0391 seg_tgt 0.1658 grl 0.89 val_dice 0.2131
+[16:04:44][     201s] epoch 6/15 loss 0.3231 seg_src 0.1404 dom 0.0349 seg_tgt 0.1478 grl 0.95
+[16:05:17][     234s] epoch 7/15 loss 0.2993 seg_src 0.1321 dom 0.0309 seg_tgt 0.1363 grl 0.97
+[16:05:50][     267s] epoch 8/15 loss 0.2601 seg_src 0.1193 dom 0.0270 seg_tgt 0.1139 grl 0.99
+[16:06:23][     300s] epoch 9/15 loss 0.2561 seg_src 0.1219 dom 0.0253 seg_tgt 0.1088 grl 0.99
+[16:06:57][     334s] epoch 10/15 loss 0.2367 seg_src 0.1116 dom 0.0252 seg_tgt 0.0999 grl 1.00 val_dice 0.0421 | TEST patch_dice 0.1091 image_dice 0.1124
+[16:07:30][     367s] epoch 11/15 loss 0.2218 seg_src 0.1040 dom 0.0218 seg_tgt 0.0959 grl 1.00
+[16:08:03][     401s] epoch 12/15 loss 0.2118 seg_src 0.1047 dom 0.0208 seg_tgt 0.0864 grl 1.00
+[16:08:36][     434s] epoch 13/15 loss 0.2045 seg_src 0.1033 dom 0.0215 seg_tgt 0.0797 grl 1.00
+[16:09:09][     467s] epoch 14/15 loss 0.1902 seg_src 0.0960 dom 0.0210 seg_tgt 0.0732 grl 1.00
+[16:09:43][     501s] epoch 15/15 loss 0.1939 seg_src 0.0911 dom 0.0216 seg_tgt 0.0811 grl 1.00 val_dice 0.1248 | TEST patch_dice 0.3513 image_dice 0.3204
+[16:09:44][     501s] DONE test patch_dice 0.3513 image_dice 0.3204 patch_vi 0.6313 | cyclegan 0.0 min, train 8.3 min

baselines/adapt/bayzid-system-2/runs/membrane/katz-lab-berghia-connective/mtda_e15_b10_s2/result.json

@@ -0,0 +1,249 @@
+{
+  "task": "membrane",
+  "target": "katz-lab-berghia-connective",
+  "variant": "mtda",
+  "budget": 10.0,
+  "seed": 2,
+  "epochs": 15,
+  "steps_per_epoch": 80,
+  "labeled_patches": 63,
+  "train_pool": 636,
+  "sources": [
+    "octopus-vulgaris-vertical-lobe-sfltract"
+  ],
+  "args": {
+    "macs_repo": "/mnt/sdc1/connectomics/MACS-2",
+    "method": "mtda",
+    "source": "octopus-vulgaris-vertical-lobe-sfltract",
+    "task": "membrane",
+    "target": "katz-lab-berghia-connective",
+    "budget": 10.0,
+    "seed": 2,
+    "epochs": 15,
+    "max_steps": 400,
+    "bs": 8,
+    "src_bs": 8,
+    "lr": 0.0001,
+    "gamma": 10.0,
+    "mu": 0.1,
+    "gan_iters": 1500,
+    "gan_bs": 4,
+    "ngf": 32,
+    "sem_weight": 1.0,
+    "ema": 0.99,
+    "cons_weight": 1.0,
+    "mask_ratio": 0.5,
+    "kd_weight": 0.1,
+    "num_workers": 8,
+    "val_every": 5,
+    "test_epochs": "10",
+    "models_dir": "/mnt/sdc1/connectomics/MACS-2/models",
+    "out_root": "/mnt/sdc1/connectomics/MACS-baselines/adapt/results-macs",
+    "no_amp": false
+  },
+  "gan_seconds": 0.0,
+  "train_seconds": 499.53106784820557,
+  "test": {
+    "patch_dice": 0.3513225466975008,
+    "patch_iou": 0.24438736763164778,
+    "patch_precision": 0.8146203112385134,
+    "patch_recall": 0.25185202910915183,
+    "patch_vi": 0.6312814210462901,
+    "n_patches": 36,
+    "image_dice": 0.320409482694946,
+    "image_iou": 0.20811050629783256,
+    "image_precision": 0.7089704629471616,
+    "image_recall": 0.21592897747730677,
+    "image_vi": 0.6091440635155787,
+    "n_images": 4,
+    "cal_ece": 0.13008697690578527,
+    "cal_nll": 0.5899692701968456,
+    "cal_brier": 0.17777987913007476,
+    "cal_mean_confidence": 0.9061991317935028,
+    "cal_accuracy": 0.7763129340277778,
+    "cal_predicted_prevalence": 0.0698513454861111,
+    "cal_true_prevalence": 0.2724880642361111,
+    "cal_mean_probability": 0.12363742136512378,
+    "_infer_s": 0.5215737819671631
+  },
+  "tests_by_epoch": {
+    "10": {
+      "patch_dice": 0.10909570558042504,
+      "patch_iou": 0.06268933056809169,
+      "patch_precision": 0.42967263915704246,
+      "patch_recall": 0.12665756850037757,
+      "patch_vi": 0.7234782696561609,
+      "n_patches": 36,
+      "image_dice": 0.11236992014942301,
+      "image_iou": 0.06583536996959362,
+      "image_precision": 0.23404573044648164,
+      "image_recall": 0.07497765776560669,
+      "image_vi": 0.7289729064767001,
+      "n_images": 4,
+      "cal_ece": 0.24309861045309034,
+      "cal_nll": 0.9181688360394529,
+      "cal_brier": 0.2701569099439577,
+      "cal_mean_confidence": 0.8625641222206721,
+      "cal_accuracy": 0.6309407552083334,
+      "cal_predicted_prevalence": 0.1457790798611111,
+      "cal_true_prevalence": 0.2724880642361111,
+      "cal_mean_probability": 0.16863146642205923,
+      "_infer_s": 0.5044155120849609
+    },
+    "15": {
+      "patch_dice": 0.3513225466975008,
+      "patch_iou": 0.24438736763164778,
+      "patch_precision": 0.8146203112385134,
+      "patch_recall": 0.25185202910915183,
+      "patch_vi": 0.6312814210462901,
+      "n_patches": 36,
+      "image_dice": 0.320409482694946,
+      "image_iou": 0.20811050629783256,
+      "image_precision": 0.7089704629471616,
+      "image_recall": 0.21592897747730677,
+      "image_vi": 0.6091440635155787,
+      "n_images": 4,
+      "cal_ece": 0.13008697690578527,
+      "cal_nll": 0.5899692701968456,
+      "cal_brier": 0.17777987913007476,
+      "cal_mean_confidence": 0.9061991317935028,
+      "cal_accuracy": 0.7763129340277778,
+      "cal_predicted_prevalence": 0.0698513454861111,
+      "cal_true_prevalence": 0.2724880642361111,
+      "cal_mean_probability": 0.12363742136512378,
+      "_infer_s": 0.5215737819671631
+    }
+  },
+  "history": [
+    {
+      "epoch": 1,
+      "loss": 0.6053844217211009,
+      "seg_src": 0.30180222187191247,
+      "dom": 0.16647524823783896,
+      "seg_tgt": 0.2991967678070068,
+      "grl": 0.05
+    },
+    {
+      "epoch": 2,
+      "loss": 0.4646572023630142,
+      "seg_src": 0.20223693130537868,
+      "dom": 0.26315432991832494,
+      "seg_tgt": 0.2320285807363689,
+      "grl": 0.3426949069654601
+    },
+    {
+      "epoch": 3,
+      "loss": 0.45504851676523683,
+      "seg_src": 0.1853611072525382,
+      "dom": 0.17893103696405888,
+      "seg_tgt": 0.20546647878363727,
+      "grl": 0.6133572603953825
+    },
+    {
+      "epoch": 4,
+      "loss": 0.4101767309010029,
+      "seg_src": 0.1771451705135405,
+      "dom": 0.06272432010155171,
+      "seg_tgt": 0.18672500429674982,
+      "grl": 0.7899988299594705
+    },
+    {
+      "epoch": 5,
+      "loss": 0.3526255290955305,
+      "seg_src": 0.14818155970424413,
+      "dom": 0.03913163386750966,
+      "seg_tgt": 0.1657616070471704,
+      "grl": 0.8913734677347187,
+      "val_dice": 0.21311522586418813
+    },
+    {
+      "epoch": 6,
+      "loss": 0.32311339005827905,
+      "seg_src": 0.1404343125410378,
+      "dom": 0.03491881624795497,
+      "seg_tgt": 0.147760261176154,
+      "grl": 0.9453064264076343
+    },
+    {
+      "epoch": 7,
+      "loss": 0.2993064742535353,
+      "seg_src": 0.13211679765954615,
+      "dom": 0.030902437400072813,
+      "seg_tgt": 0.136287238355726,
+      "grl": 0.9728461661125112
+    },
+    {
+      "epoch": 8,
+      "loss": 0.2600935848429799,
+      "seg_src": 0.11925036050379276,
+      "dom": 0.0269742512376979,
+      "seg_tgt": 0.11386897270567715,
+      "grl": 0.9866142981514305
+    },
+    {
+      "epoch": 9,
+      "loss": 0.25606441106647254,
+      "seg_src": 0.12191918725147843,
+      "dom": 0.02533041276037693,
+      "seg_tgt": 0.1088148109614849,
+      "grl": 0.9934246772281319
+    },
+    {
+      "epoch": 10,
+      "loss": 0.23670308366417886,
+      "seg_src": 0.111559993121773,
+      "dom": 0.02519311890937388,
+      "seg_tgt": 0.09994997237809003,
+      "grl": 0.9967756945029476,
+      "val_dice": 0.04210480586721121,
+      "test_patch_dice": 0.10909570558042504,
+      "test_image_dice": 0.11236992014942301
+    },
+    {
+      "epoch": 11,
+      "loss": 0.221804079413414,
+      "seg_src": 0.10403009657748044,
+      "dom": 0.02184467311017215,
+      "seg_tgt": 0.09592930900398641,
+      "grl": 0.9984202681165271
+    },
+    {
+      "epoch": 12,
+      "loss": 0.21180413123220204,
+      "seg_src": 0.10465571852400898,
+      "dom": 0.02079036011127755,
+      "seg_tgt": 0.08635805305093527,
+      "grl": 0.999226343498715
+    },
+    {
+      "epoch": 13,
+      "loss": 0.20450540594756603,
+      "seg_src": 0.10330267455428839,
+      "dom": 0.021518408169504254,
+      "seg_tgt": 0.07968432281631976,
+      "grl": 0.9996211881123498
+    },
+    {
+      "epoch": 14,
+      "loss": 0.19020230900496243,
+      "seg_src": 0.09602587011177093,
+      "dom": 0.02097302525071427,
+      "seg_tgt": 0.07320341276936233,
+      "grl": 0.9998145378686683
+    },
+    {
+      "epoch": 15,
+      "loss": 0.19386756084859372,
+      "seg_src": 0.0911036429228261,
+      "dom": 0.021646924619562923,
+      "seg_tgt": 0.08111699344590306,
+      "grl": 0.9999092042625952,
+      "val_dice": 0.12479811462343562,
+      "test_patch_dice": 0.3513225466975008,
+      "test_image_dice": 0.320409482694946
+    }
+  ],
+  "data_access": "sources: labeled train patches; target: unlabeled train pool + random upfront budget of train labels; val: logged only (no selection, final model); test: evaluation only",
+  "gpu": "NVIDIA GeForce RTX 3070",
+  "torch": "2.5.1+cu118"
+}

baselines/adapt/bayzid-system-2/runs/membrane/octopus-vulgaris-vertical-lobe-sfltract/mldb_e15_b0_s2/log.txt

@@ -0,0 +1,17 @@
+[17:14:36][       0s] START mldb target=octopus-vulgaris-vertical-lobe-sfltract task=membrane budget=0% (0/3584 labeled) seed=2 epochs=15 x 400 steps | sources (1): octopus-vulgaris-vertical-lobe-glia-deep-neuropil | val 768 test 768 | bs=8 src_bs=8 lr=0.0001 mu=0.1 gamma=10.0 amp=True gpu=NVIDIA GeForce RTX 3070
+[17:17:24][     168s] epoch 1/15 loss 0.2231 seg_src 0.2150 dom 0.3955 seg_tgt 0.0000 grl 0.05
+[17:20:10][     334s] epoch 2/15 loss 0.1441 seg_src 0.1223 dom 0.2060 seg_tgt 0.0000 grl 0.34
+[17:22:57][     501s] epoch 3/15 loss 0.1400 seg_src 0.0948 dom 0.1233 seg_tgt 0.0000 grl 0.61
+[17:25:43][     667s] epoch 4/15 loss 0.1394 seg_src 0.0785 dom 0.0800 seg_tgt 0.0000 grl 0.79
+[17:28:34][     838s] epoch 5/15 loss 0.1304 seg_src 0.0690 dom 0.0621 seg_tgt 0.0000 grl 0.89 val_dice 0.6526
+[17:31:21][    1006s] epoch 6/15 loss 0.1120 seg_src 0.0591 dom 0.0529 seg_tgt 0.0000 grl 0.95
+[17:34:08][    1173s] epoch 7/15 loss 0.1073 seg_src 0.0569 dom 0.0504 seg_tgt 0.0000 grl 0.97
+[17:36:56][    1340s] epoch 8/15 loss 0.0968 seg_src 0.0517 dom 0.0451 seg_tgt 0.0000 grl 0.99
+[17:39:46][    1511s] epoch 9/15 loss 0.0940 seg_src 0.0500 dom 0.0440 seg_tgt 0.0000 grl 0.99
+[17:42:43][    1688s] epoch 10/15 loss 0.0858 seg_src 0.0466 dom 0.0391 seg_tgt 0.0000 grl 1.00 val_dice 0.8490 | TEST patch_dice 0.8222 image_dice 0.6990
+[17:45:32][    1857s] epoch 11/15 loss 0.0814 seg_src 0.0429 dom 0.0384 seg_tgt 0.0000 grl 1.00
+[17:48:21][    2025s] epoch 12/15 loss 0.0807 seg_src 0.0422 dom 0.0385 seg_tgt 0.0000 grl 1.00
+[17:51:09][    2193s] epoch 13/15 loss 0.0767 seg_src 0.0397 dom 0.0370 seg_tgt 0.0000 grl 1.00
+[17:53:59][    2364s] epoch 14/15 loss 0.0749 seg_src 0.0366 dom 0.0384 seg_tgt 0.0000 grl 1.00
+[17:56:58][    2542s] epoch 15/15 loss 0.0720 seg_src 0.0361 dom 0.0359 seg_tgt 0.0000 grl 1.00 val_dice 0.8674 | TEST patch_dice 0.8484 image_dice 0.7734
+[17:56:58][    2543s] DONE test patch_dice 0.8484 image_dice 0.7734 patch_vi 0.1834 | cyclegan 0.0 min, train 42.4 min

baselines/adapt/bayzid-system-2/runs/membrane/octopus-vulgaris-vertical-lobe-sfltract/mldb_e15_b0_s2/result.json

@@ -0,0 +1,249 @@
+{
+  "task": "membrane",
+  "target": "octopus-vulgaris-vertical-lobe-sfltract",
+  "variant": "mldb",
+  "budget": 0.0,
+  "seed": 2,
+  "epochs": 15,
+  "steps_per_epoch": 400,
+  "labeled_patches": 0,
+  "train_pool": 3584,
+  "sources": [
+    "octopus-vulgaris-vertical-lobe-glia-deep-neuropil"
+  ],
+  "args": {
+    "macs_repo": "/mnt/sdc1/connectomics/MACS-2",
+    "method": "mldb",
+    "source": "octopus-vulgaris-vertical-lobe-glia-deep-neuropil",
+    "task": "membrane",
+    "target": "octopus-vulgaris-vertical-lobe-sfltract",
+    "budget": 0.0,
+    "seed": 2,
+    "epochs": 15,
+    "max_steps": 400,
+    "bs": 8,
+    "src_bs": 8,
+    "lr": 0.0001,
+    "gamma": 10.0,
+    "mu": 0.1,
+    "gan_iters": 1500,
+    "gan_bs": 4,
+    "ngf": 32,
+    "sem_weight": 1.0,
+    "ema": 0.99,
+    "cons_weight": 1.0,
+    "mask_ratio": 0.5,
+    "kd_weight": 0.1,
+    "num_workers": 8,
+    "val_every": 5,
+    "test_epochs": "10",
+    "models_dir": "/mnt/sdc1/connectomics/MACS-2/models",
+    "out_root": "/mnt/sdc1/connectomics/MACS-baselines/adapt/results-macs",
+    "no_amp": false
+  },
+  "gan_seconds": 0.0,
+  "train_seconds": 2541.1888530254364,
+  "test": {
+    "patch_dice": 0.8483790239415941,
+    "patch_iou": 0.7780202360753804,
+    "patch_precision": 0.8768408346075526,
+    "patch_recall": 0.8531933590293911,
+    "patch_vi": 0.18336314420068786,
+    "n_patches": 768,
+    "image_dice": 0.7734055709325914,
+    "image_iou": 0.6339324326323007,
+    "image_precision": 0.8322864818244654,
+    "image_recall": 0.7238181120101608,
+    "image_vi": 0.20264164388804587,
+    "n_images": 6,
+    "cal_ece": 0.010089724777443415,
+    "cal_nll": 0.08759550503914253,
+    "cal_brier": 0.02331245217179806,
+    "cal_mean_confidence": 0.9795085683646829,
+    "cal_accuracy": 0.9694188435872396,
+    "cal_predicted_prevalence": 0.06424458821614583,
+    "cal_true_prevalence": 0.07175954182942708,
+    "cal_mean_probability": 0.0665081691298002,
+    "_infer_s": 4.824926376342773
+  },
+  "tests_by_epoch": {
+    "10": {
+      "patch_dice": 0.8222128706512032,
+      "patch_iou": 0.7513682656234199,
+      "patch_precision": 0.9226426044657347,
+      "patch_recall": 0.7875163426357267,
+      "patch_vi": 0.18348308519096523,
+      "n_patches": 768,
+      "image_dice": 0.6989779934690423,
+      "image_iou": 0.5428953014660729,
+      "image_precision": 0.8842273416289882,
+      "image_recall": 0.5847544574600724,
+      "image_vi": 0.20969193319065824,
+      "n_images": 6,
+      "cal_ece": 0.012626398214598138,
+      "cal_nll": 0.10879945342950875,
+      "cal_brier": 0.027312651005268553,
+      "cal_mean_confidence": 0.9780003911345201,
+      "cal_accuracy": 0.9653739929199219,
+      "cal_predicted_prevalence": 0.04922358194986979,
+      "cal_true_prevalence": 0.07175954182942708,
+      "cal_mean_probability": 0.05281511118144944,
+      "_infer_s": 4.68603777885437
+    },
+    "15": {
+      "patch_dice": 0.8483790239415941,
+      "patch_iou": 0.7780202360753804,
+      "patch_precision": 0.8768408346075526,
+      "patch_recall": 0.8531933590293911,
+      "patch_vi": 0.18336314420068786,
+      "n_patches": 768,
+      "image_dice": 0.7734055709325914,
+      "image_iou": 0.6339324326323007,
+      "image_precision": 0.8322864818244654,
+      "image_recall": 0.7238181120101608,
+      "image_vi": 0.20264164388804587,
+      "n_images": 6,
+      "cal_ece": 0.010089724777443415,
+      "cal_nll": 0.08759550503914253,
+      "cal_brier": 0.02331245217179806,
+      "cal_mean_confidence": 0.9795085683646829,
+      "cal_accuracy": 0.9694188435872396,
+      "cal_predicted_prevalence": 0.06424458821614583,
+      "cal_true_prevalence": 0.07175954182942708,
+      "cal_mean_probability": 0.0665081691298002,
+      "_infer_s": 4.824926376342773
+    }
+  },
+  "history": [
+    {
+      "epoch": 1,
+      "loss": 0.22308295235037803,
+      "seg_src": 0.2150358079560101,
+      "dom": 0.39548370983451603,
+      "seg_tgt": 0.0,
+      "grl": 0.05
+    },
+    {
+      "epoch": 2,
+      "loss": 0.14414101595059037,
+      "seg_src": 0.12233360391110182,
+      "dom": 0.20597464937716722,
+      "seg_tgt": 0.0,
+      "grl": 0.3426949069654601
+    },
+    {
+      "epoch": 3,
+      "loss": 0.14002044066786767,
+      "seg_src": 0.0948358862567693,
+      "dom": 0.1232987992092967,
+      "seg_tgt": 0.0,
+      "grl": 0.6133572603953825
+    },
+    {
+      "epoch": 4,
+      "loss": 0.13939428905025125,
+      "seg_src": 0.07847563805989921,
+      "dom": 0.08000211108475924,
+      "seg_tgt": 0.0,
+      "grl": 0.7899988299594705
+    },
+    {
+      "epoch": 5,
+      "loss": 0.13039079383015634,
+      "seg_src": 0.06896998982643708,
+      "dom": 0.06208983921911568,
+      "seg_tgt": 0.0,
+      "grl": 0.8913734677347187,
+      "val_dice": 0.6525651942960821
+    },
+    {
+      "epoch": 6,
+      "loss": 0.11204982853494584,
+      "seg_src": 0.05913491169922054,
+      "dom": 0.052914916998706756,
+      "seg_tgt": 0.0,
+      "grl": 0.9453064264076343
+    },
+    {
+      "epoch": 7,
+      "loss": 0.1073238671105355,
+      "seg_src": 0.05694035853841342,
+      "dom": 0.05038350864080712,
+      "seg_tgt": 0.0,
+      "grl": 0.9728461661125112
+    },
+    {
+      "epoch": 8,
+      "loss": 0.09681256558280438,
+      "seg_src": 0.05168805448920466,
+      "dom": 0.04512451103306375,
+      "seg_tgt": 0.0,
+      "grl": 0.9866142981514305
+    },
+    {
+      "epoch": 9,
+      "loss": 0.09397755985148251,
+      "seg_src": 0.04999275732145179,
+      "dom": 0.04398480234201998,
+      "seg_tgt": 0.0,
+      "grl": 0.9934246772281319
+    },
+    {
+      "epoch": 10,
+      "loss": 0.08576314947102219,
+      "seg_src": 0.04662806022213772,
+      "dom": 0.03913508936529979,
+      "seg_tgt": 0.0,
+      "grl": 0.9967756945029476,
+      "val_dice": 0.8489686626394871,
+      "test_patch_dice": 0.8222128706512032,
+      "test_image_dice": 0.6989779934690423
+    },
+    {
+      "epoch": 11,
+      "loss": 0.08137202256824821,
+      "seg_src": 0.0429312012786977,
+      "dom": 0.03844082131749019,
+      "seg_tgt": 0.0,
+      "grl": 0.9984202681165271
+    },
+    {
+      "epoch": 12,
+      "loss": 0.08074606496840715,
+      "seg_src": 0.042240098516922446,
+      "dom": 0.038505966339726,
+      "seg_tgt": 0.0,
+      "grl": 0.999226343498715
+    },
+    {
+      "epoch": 13,
+      "loss": 0.07669215109199286,
+      "seg_src": 0.039668417899374614,
+      "dom": 0.03702373328618705,
+      "seg_tgt": 0.0,
+      "grl": 0.9996211881123498
+    },
+    {
+      "epoch": 14,
+      "loss": 0.07493473704438657,
+      "seg_src": 0.036570927624270555,
+      "dom": 0.03836380960012321,
+      "seg_tgt": 0.0,
+      "grl": 0.9998145378686683
+    },
+    {
+      "epoch": 15,
+      "loss": 0.07202573898248374,
+      "seg_src": 0.036078653126314746,
+      "dom": 0.03594708598451689,
+      "seg_tgt": 0.0,
+      "grl": 0.9999092042625952,
+      "val_dice": 0.8674376312115776,
+      "test_patch_dice": 0.8483790239415941,
+      "test_image_dice": 0.7734055709325914
+    }
+  ],
+  "data_access": "sources: labeled train patches; target: unlabeled train pool + random upfront budget of train labels; val: logged only (no selection, final model); test: evaluation only",
+  "gpu": "NVIDIA GeForce RTX 3070",
+  "torch": "2.5.1+cu118"
+}

baselines/adapt/bayzid-system-2/runs/membrane/octopus-vulgaris-vertical-lobe-sfltract/mldb_e15_b10_s3/log.txt

@@ -0,0 +1 @@
+[04:03:37][       1s] START mldb target=octopus-vulgaris-vertical-lobe-sfltract task=membrane budget=10% (358/3584 labeled) seed=3 epochs=15 x 400 steps | sources (1): octopus-vulgaris-vertical-lobe-glia-deep-neuropil | val 768 test 768 | bs=8 src_bs=8 lr=0.0001 mu=0.1 gamma=10.0 amp=True gpu=NVIDIA GeForce RTX 3070

baselines/adapt/bayzid-system-2/runs/membrane/octopus-vulgaris-vertical-lobe-sfltract/mtda_e15_b0_s2/log.txt

@@ -0,0 +1,17 @@
+[16:44:45][       0s] START mtda target=octopus-vulgaris-vertical-lobe-sfltract task=membrane budget=0% (0/3584 labeled) seed=2 epochs=15 x 400 steps | sources (1): octopus-vulgaris-vertical-lobe-glia-deep-neuropil | val 768 test 768 | bs=8 src_bs=8 lr=0.0001 mu=0.1 gamma=10.0 amp=True gpu=NVIDIA GeForce RTX 3070
+[16:46:46][     121s] epoch 1/15 loss 0.1871 seg_src 0.1824 dom 0.1962 seg_tgt 0.0000 grl 0.05
+[16:48:42][     237s] epoch 2/15 loss 0.1286 seg_src 0.1171 dom 0.1105 seg_tgt 0.0000 grl 0.34
+[16:50:39][     354s] epoch 3/15 loss 0.1065 seg_src 0.0970 dom 0.0284 seg_tgt 0.0000 grl 0.61
+[16:52:36][     471s] epoch 4/15 loss 0.0878 seg_src 0.0805 dom 0.0097 seg_tgt 0.0000 grl 0.79
+[16:54:37][     592s] epoch 5/15 loss 0.0762 seg_src 0.0707 dom 0.0056 seg_tgt 0.0000 grl 0.89 val_dice 0.8237
+[16:56:34][     709s] epoch 6/15 loss 0.0677 seg_src 0.0630 dom 0.0048 seg_tgt 0.0000 grl 0.95
+[16:58:31][     826s] epoch 7/15 loss 0.0651 seg_src 0.0611 dom 0.0040 seg_tgt 0.0000 grl 0.97
+[17:00:29][     944s] epoch 8/15 loss 0.0592 seg_src 0.0560 dom 0.0032 seg_tgt 0.0000 grl 0.99
+[17:02:27][    1062s] epoch 9/15 loss 0.0577 seg_src 0.0546 dom 0.0032 seg_tgt 0.0000 grl 0.99
+[17:04:33][    1188s] epoch 10/15 loss 0.0527 seg_src 0.0495 dom 0.0032 seg_tgt 0.0000 grl 1.00 val_dice 0.8267 | TEST patch_dice 0.7998 image_dice 0.6725
+[17:06:32][    1306s] epoch 11/15 loss 0.0508 seg_src 0.0477 dom 0.0031 seg_tgt 0.0000 grl 1.00
+[17:08:29][    1424s] epoch 12/15 loss 0.0511 seg_src 0.0482 dom 0.0029 seg_tgt 0.0000 grl 1.00
+[17:10:27][    1542s] epoch 13/15 loss 0.0469 seg_src 0.0445 dom 0.0024 seg_tgt 0.0000 grl 1.00
+[17:12:26][    1661s] epoch 14/15 loss 0.0432 seg_src 0.0404 dom 0.0028 seg_tgt 0.0000 grl 1.00
+[17:14:33][    1788s] epoch 15/15 loss 0.0438 seg_src 0.0412 dom 0.0026 seg_tgt 0.0000 grl 1.00 val_dice 0.8453 | TEST patch_dice 0.8222 image_dice 0.7469
+[17:14:33][    1788s] DONE test patch_dice 0.8222 image_dice 0.7469 patch_vi 0.1985 | cyclegan 0.0 min, train 29.8 min

baselines/adapt/bayzid-system-2/runs/membrane/octopus-vulgaris-vertical-lobe-sfltract/mtda_e15_b0_s2/result.json

@@ -0,0 +1,249 @@
+{
+  "task": "membrane",
+  "target": "octopus-vulgaris-vertical-lobe-sfltract",
+  "variant": "mtda",
+  "budget": 0.0,
+  "seed": 2,
+  "epochs": 15,
+  "steps_per_epoch": 400,
+  "labeled_patches": 0,
+  "train_pool": 3584,
+  "sources": [
+    "octopus-vulgaris-vertical-lobe-glia-deep-neuropil"
+  ],
+  "args": {
+    "macs_repo": "/mnt/sdc1/connectomics/MACS-2",
+    "method": "mtda",
+    "source": "octopus-vulgaris-vertical-lobe-glia-deep-neuropil",
+    "task": "membrane",
+    "target": "octopus-vulgaris-vertical-lobe-sfltract",
+    "budget": 0.0,
+    "seed": 2,
+    "epochs": 15,
+    "max_steps": 400,
+    "bs": 8,
+    "src_bs": 8,
+    "lr": 0.0001,
+    "gamma": 10.0,
+    "mu": 0.1,
+    "gan_iters": 1500,
+    "gan_bs": 4,
+    "ngf": 32,
+    "sem_weight": 1.0,
+    "ema": 0.99,
+    "cons_weight": 1.0,
+    "mask_ratio": 0.5,
+    "kd_weight": 0.1,
+    "num_workers": 8,
+    "val_every": 5,
+    "test_epochs": "10",
+    "models_dir": "/mnt/sdc1/connectomics/MACS-2/models",
+    "out_root": "/mnt/sdc1/connectomics/MACS-baselines/adapt/results-macs",
+    "no_amp": false
+  },
+  "gan_seconds": 0.0,
+  "train_seconds": 1786.730301618576,
+  "test": {
+    "patch_dice": 0.8222214566514253,
+    "patch_iou": 0.7491229340287471,
+    "patch_precision": 0.8491372597208944,
+    "patch_recall": 0.8349863899819846,
+    "patch_vi": 0.1985321609870535,
+    "n_patches": 768,
+    "image_dice": 0.7468608163109588,
+    "image_iou": 0.60035724678383,
+    "image_precision": 0.7953058980226531,
+    "image_recall": 0.7058625582986732,
+    "image_vi": 0.22276187992402385,
+    "n_images": 6,
+    "cal_ece": 0.010362180043755281,
+    "cal_nll": 0.09942407220799299,
+    "cal_brier": 0.02628703501406351,
+    "cal_mean_confidence": 0.9758228070492961,
+    "cal_accuracy": 0.9654871622721354,
+    "cal_predicted_prevalence": 0.06651051839192708,
+    "cal_true_prevalence": 0.07175954182942708,
+    "cal_mean_probability": 0.07061050201608189,
+    "_infer_s": 4.550586223602295
+  },
+  "tests_by_epoch": {
+    "10": {
+      "patch_dice": 0.7998476138550111,
+      "patch_iou": 0.726347051232277,
+      "patch_precision": 0.9228761310238657,
+      "patch_recall": 0.7548872983304257,
+      "patch_vi": 0.1918779144156726,
+      "n_patches": 768,
+      "image_dice": 0.6724910138893815,
+      "image_iou": 0.5118667822517093,
+      "image_precision": 0.8706484677793532,
+      "image_recall": 0.5534118388030583,
+      "image_vi": 0.21968566881311694,
+      "n_images": 6,
+      "cal_ece": 0.014390322120022059,
+      "cal_nll": 0.10385166672997832,
+      "cal_brier": 0.02838952319812027,
+      "cal_mean_confidence": 0.977540889877588,
+      "cal_accuracy": 0.9632542928059896,
+      "cal_predicted_prevalence": 0.048113505045572914,
+      "cal_true_prevalence": 0.07175954182942708,
+      "cal_mean_probability": 0.050494079135896965,
+      "_infer_s": 4.5816380977630615
+    },
+    "15": {
+      "patch_dice": 0.8222214566514253,
+      "patch_iou": 0.7491229340287471,
+      "patch_precision": 0.8491372597208944,
+      "patch_recall": 0.8349863899819846,
+      "patch_vi": 0.1985321609870535,
+      "n_patches": 768,
+      "image_dice": 0.7468608163109588,
+      "image_iou": 0.60035724678383,
+      "image_precision": 0.7953058980226531,
+      "image_recall": 0.7058625582986732,
+      "image_vi": 0.22276187992402385,
+      "n_images": 6,
+      "cal_ece": 0.010362180043755281,
+      "cal_nll": 0.09942407220799299,
+      "cal_brier": 0.02628703501406351,
+      "cal_mean_confidence": 0.9758228070492961,
+      "cal_accuracy": 0.9654871622721354,
+      "cal_predicted_prevalence": 0.06651051839192708,
+      "cal_true_prevalence": 0.07175954182942708,
+      "cal_mean_probability": 0.07061050201608189,
+      "_infer_s": 4.550586223602295
+    }
+  },
+  "history": [
+    {
+      "epoch": 1,
+      "loss": 0.18713547399267555,
+      "seg_src": 0.18242258341982961,
+      "dom": 0.19624229711364025,
+      "seg_tgt": 0.0,
+      "grl": 0.05
+    },
+    {
+      "epoch": 2,
+      "loss": 0.12858552758581937,
+      "seg_src": 0.1171197301801294,
+      "dom": 0.11052350234240294,
+      "seg_tgt": 0.0,
+      "grl": 0.3426949069654601
+    },
+    {
+      "epoch": 3,
+      "loss": 0.1064847760181874,
+      "seg_src": 0.09703173722140492,
+      "dom": 0.02837957854848355,
+      "seg_tgt": 0.0,
+      "grl": 0.6133572603953825
+    },
+    {
+      "epoch": 4,
+      "loss": 0.08775674719363451,
+      "seg_src": 0.08053405034122989,
+      "dom": 0.009673839823808521,
+      "seg_tgt": 0.0,
+      "grl": 0.7899988299594705
+    },
+    {
+      "epoch": 5,
+      "loss": 0.07620781562058256,
+      "seg_src": 0.07067907173885032,
+      "dom": 0.005594712205638643,
+      "seg_tgt": 0.0,
+      "grl": 0.8913734677347187,
+      "val_dice": 0.8237434696761045
+    },
+    {
+      "epoch": 6,
+      "loss": 0.0677455592516344,
+      "seg_src": 0.0629687408497557,
+      "dom": 0.004776818362879567,
+      "seg_tgt": 0.0,
+      "grl": 0.9453064264076343
+    },
+    {
+      "epoch": 7,
+      "loss": 0.06512352021643891,
+      "seg_src": 0.06114582820679061,
+      "dom": 0.003977692201151513,
+      "seg_tgt": 0.0,
+      "grl": 0.9728461661125112
+    },
+    {
+      "epoch": 8,
+      "loss": 0.05924090650631115,
+      "seg_src": 0.055997107166913335,
+      "dom": 0.003243799500633031,
+      "seg_tgt": 0.0,
+      "grl": 0.9866142981514305
+    },
+    {
+      "epoch": 9,
+      "loss": 0.05774024838581681,
+      "seg_src": 0.054579513132339344,
+      "dom": 0.0031607352747232654,
+      "seg_tgt": 0.0,
+      "grl": 0.9934246772281319
+    },
+    {
+      "epoch": 10,
+      "loss": 0.05268136588972993,
+      "seg_src": 0.04948816955962684,
+      "dom": 0.0031931962587987074,
+      "seg_tgt": 0.0,
+      "grl": 0.9967756945029476,
+      "val_dice": 0.826675709191481,
+      "test_patch_dice": 0.7998476138550111,
+      "test_image_dice": 0.6724910138893815
+    },
+    {
+      "epoch": 11,
+      "loss": 0.05076419619377703,
+      "seg_src": 0.04769201689283364,
+      "dom": 0.00307217935405788,
+      "seg_tgt": 0.0,
+      "grl": 0.9984202681165271
+    },
+    {
+      "epoch": 12,
+      "loss": 0.05106872008938808,
+      "seg_src": 0.04819114366080612,
+      "dom": 0.002877576524479082,
+      "seg_tgt": 0.0,
+      "grl": 0.999226343498715
+    },
+    {
+      "epoch": 13,
+      "loss": 0.04693462189519778,
+      "seg_src": 0.04449581250810297,
+      "dom": 0.0024388092922163194,
+      "seg_tgt": 0.0,
+      "grl": 0.9996211881123498
+    },
+    {
+      "epoch": 14,
+      "loss": 0.04324748152634129,
+      "seg_src": 0.04039878067385871,
+      "dom": 0.0028487007632793395,
+      "seg_tgt": 0.0,
+      "grl": 0.9998145378686683
+    },
+    {
+      "epoch": 15,
+      "loss": 0.043833208383584864,
+      "seg_src": 0.04124562226992566,
+      "dom": 0.0025875860929954796,
+      "seg_tgt": 0.0,
+      "grl": 0.9999092042625952,
+      "val_dice": 0.8452887808556703,
+      "test_patch_dice": 0.8222214566514253,
+      "test_image_dice": 0.7468608163109588
+    }
+  ],
+  "data_access": "sources: labeled train patches; target: unlabeled train pool + random upfront budget of train labels; val: logged only (no selection, final model); test: evaluation only",
+  "gpu": "NVIDIA GeForce RTX 3070",
+  "torch": "2.5.1+cu118"
+}

baselines/adapt/bayzid-system-2/runs/membrane/octopus-vulgaris-vertical-lobe-sfltract/mtda_e15_b10_s2/log.txt

@@ -0,0 +1,17 @@
+[22:55:36][       1s] START mtda target=octopus-vulgaris-vertical-lobe-sfltract task=membrane budget=10% (358/3584 labeled) seed=2 epochs=15 x 400 steps | sources (1): octopus-vulgaris-vertical-lobe-glia-deep-neuropil | val 768 test 768 | bs=8 src_bs=8 lr=0.0001 mu=0.1 gamma=10.0 amp=True gpu=NVIDIA GeForce RTX 3070
+[22:58:37][     182s] epoch 1/15 loss 0.4109 seg_src 0.1956 dom 0.2506 seg_tgt 0.2092 grl 0.05
+[23:01:33][     357s] epoch 2/15 loss 0.2604 seg_src 0.1138 dom 0.1908 seg_tgt 0.1272 grl 0.34
+[23:04:31][     535s] epoch 3/15 loss 0.2260 seg_src 0.0923 dom 0.0721 seg_tgt 0.1101 grl 0.61
+[23:07:29][     713s] epoch 4/15 loss 0.1772 seg_src 0.0763 dom 0.0120 seg_tgt 0.0920 grl 0.79
+[23:10:31][     896s] epoch 5/15 loss 0.1763 seg_src 0.0790 dom 0.0075 seg_tgt 0.0899 grl 0.89 val_dice 0.8258
+[23:13:31][    1075s] epoch 6/15 loss 0.1498 seg_src 0.0669 dom 0.0057 seg_tgt 0.0773 grl 0.95
+[23:16:33][    1258s] epoch 7/15 loss 0.1382 seg_src 0.0623 dom 0.0052 seg_tgt 0.0708 grl 0.97
+[23:19:35][    1439s] epoch 8/15 loss 0.1312 seg_src 0.0598 dom 0.0057 seg_tgt 0.0657 grl 0.99
+[23:22:42][    1627s] epoch 9/15 loss 0.1197 seg_src 0.0569 dom 0.0055 seg_tgt 0.0574 grl 0.99
+[23:26:01][    1825s] epoch 10/15 loss 0.1274 seg_src 0.0573 dom 0.0048 seg_tgt 0.0653 grl 1.00 val_dice 0.8712 | TEST patch_dice 0.8602 image_dice 0.7928
+[23:29:07][    2012s] epoch 11/15 loss 0.1052 seg_src 0.0491 dom 0.0053 seg_tgt 0.0508 grl 1.00
+[23:32:11][    2196s] epoch 12/15 loss 0.1100 seg_src 0.0488 dom 0.0054 seg_tgt 0.0558 grl 1.00
+[23:35:15][    2379s] epoch 13/15 loss 0.1144 seg_src 0.0538 dom 0.0066 seg_tgt 0.0540 grl 1.00
+[23:38:22][    2566s] epoch 14/15 loss 0.0942 seg_src 0.0454 dom 0.0054 seg_tgt 0.0434 grl 1.00
+[23:41:44][    2768s] epoch 15/15 loss 0.0916 seg_src 0.0436 dom 0.0060 seg_tgt 0.0419 grl 1.00 val_dice 0.8802 | TEST patch_dice 0.8574 image_dice 0.8038
+[23:41:46][    2770s] DONE test patch_dice 0.8574 image_dice 0.8038 patch_vi 0.1752 | cyclegan 0.0 min, train 46.1 min

baselines/adapt/bayzid-system-2/runs/membrane/octopus-vulgaris-vertical-lobe-sfltract/mtda_e15_b10_s2/result.json

@@ -0,0 +1,249 @@
+{
+  "task": "membrane",
+  "target": "octopus-vulgaris-vertical-lobe-sfltract",
+  "variant": "mtda",
+  "budget": 10.0,
+  "seed": 2,
+  "epochs": 15,
+  "steps_per_epoch": 400,
+  "labeled_patches": 358,
+  "train_pool": 3584,
+  "sources": [
+    "octopus-vulgaris-vertical-lobe-glia-deep-neuropil"
+  ],
+  "args": {
+    "macs_repo": "/mnt/sdc1/connectomics/MACS-2",
+    "method": "mtda",
+    "source": "octopus-vulgaris-vertical-lobe-glia-deep-neuropil",
+    "task": "membrane",
+    "target": "octopus-vulgaris-vertical-lobe-sfltract",
+    "budget": 10.0,
+    "seed": 2,
+    "epochs": 15,
+    "max_steps": 400,
+    "bs": 8,
+    "src_bs": 8,
+    "lr": 0.0001,
+    "gamma": 10.0,
+    "mu": 0.1,
+    "gan_iters": 1500,
+    "gan_bs": 4,
+    "ngf": 32,
+    "sem_weight": 1.0,
+    "ema": 0.99,
+    "cons_weight": 1.0,
+    "mask_ratio": 0.5,
+    "kd_weight": 0.1,
+    "num_workers": 8,
+    "val_every": 5,
+    "test_epochs": "10",
+    "models_dir": "/mnt/sdc1/connectomics/MACS-2/models",
+    "out_root": "/mnt/sdc1/connectomics/MACS-baselines/adapt/results-macs",
+    "no_amp": false
+  },
+  "gan_seconds": 0.0,
+  "train_seconds": 2765.251507282257,
+  "test": {
+    "patch_dice": 0.8574120153641115,
+    "patch_iou": 0.7925782569695573,
+    "patch_precision": 0.8727531818979163,
+    "patch_recall": 0.8789629148120118,
+    "patch_vi": 0.1751672464011811,
+    "n_patches": 768,
+    "image_dice": 0.8038397608697343,
+    "image_iou": 0.6757915499422817,
+    "image_precision": 0.8185035692766472,
+    "image_recall": 0.794620144902983,
+    "image_vi": 0.19169258194216185,
+    "n_images": 6,
+    "cal_ece": 0.007653772383664954,
+    "cal_nll": 0.0739859117384364,
+    "cal_brier": 0.021130329927279524,
+    "cal_mean_confidence": 0.9790750987999131,
+    "cal_accuracy": 0.9714228312174479,
+    "cal_predicted_prevalence": 0.07086690266927083,
+    "cal_true_prevalence": 0.07175954182942708,
+    "cal_mean_probability": 0.07166437475027694,
+    "_infer_s": 8.097103357315063
+  },
+  "tests_by_epoch": {
+    "10": {
+      "patch_dice": 0.8602156025029851,
+      "patch_iou": 0.792923066571905,
+      "patch_precision": 0.9000465909056462,
+      "patch_recall": 0.85454814207686,
+      "patch_vi": 0.1722903239329482,
+      "n_patches": 768,
+      "image_dice": 0.7928081797310632,
+      "image_iou": 0.6603180426739532,
+      "image_precision": 0.8537094446938135,
+      "image_recall": 0.7435699608014922,
+      "image_vi": 0.1886493319764525,
+      "n_images": 6,
+      "cal_ece": 0.006960991575710716,
+      "cal_nll": 0.07743971456605185,
+      "cal_brier": 0.021052396154907144,
+      "cal_mean_confidence": 0.9727487419248358,
+      "cal_accuracy": 0.971655527750651,
+      "cal_predicted_prevalence": 0.0631243387858073,
+      "cal_true_prevalence": 0.07175954182942708,
+      "cal_mean_probability": 0.06950377074463275,
+      "_infer_s": 8.39853048324585
+    },
+    "15": {
+      "patch_dice": 0.8574120153641115,
+      "patch_iou": 0.7925782569695573,
+      "patch_precision": 0.8727531818979163,
+      "patch_recall": 0.8789629148120118,
+      "patch_vi": 0.1751672464011811,
+      "n_patches": 768,
+      "image_dice": 0.8038397608697343,
+      "image_iou": 0.6757915499422817,
+      "image_precision": 0.8185035692766472,
+      "image_recall": 0.794620144902983,
+      "image_vi": 0.19169258194216185,
+      "n_images": 6,
+      "cal_ece": 0.007653772383664954,
+      "cal_nll": 0.0739859117384364,
+      "cal_brier": 0.021130329927279524,
+      "cal_mean_confidence": 0.9790750987999131,
+      "cal_accuracy": 0.9714228312174479,
+      "cal_predicted_prevalence": 0.07086690266927083,
+      "cal_true_prevalence": 0.07175954182942708,
+      "cal_mean_probability": 0.07166437475027694,
+      "_infer_s": 8.097103357315063
+    }
+  },
+  "history": [
+    {
+      "epoch": 1,
+      "loss": 0.41087367322295903,
+      "seg_src": 0.19560185654088855,
+      "dom": 0.2505879984679632,
+      "seg_tgt": 0.20918626733124257,
+      "grl": 0.05
+    },
+    {
+      "epoch": 2,
+      "loss": 0.2604079884663224,
+      "seg_src": 0.11384618086740375,
+      "dom": 0.19076078988611697,
+      "seg_tgt": 0.1271834472566843,
+      "grl": 0.3426949069654601
+    },
+    {
+      "epoch": 3,
+      "loss": 0.22597848920151592,
+      "seg_src": 0.09232681818772108,
+      "dom": 0.07212684225989506,
+      "seg_tgt": 0.11009929194580764,
+      "grl": 0.6133572603953825
+    },
+    {
+      "epoch": 4,
+      "loss": 0.17723556818440556,
+      "seg_src": 0.07631319451611489,
+      "dom": 0.011972611646051519,
+      "seg_tgt": 0.09196717362385243,
+      "grl": 0.7899988299594705
+    },
+    {
+      "epoch": 5,
+      "loss": 0.1762525055371225,
+      "seg_src": 0.07898315739817917,
+      "dom": 0.007469458925188519,
+      "seg_tgt": 0.08989416787400842,
+      "grl": 0.8913734677347187,
+      "val_dice": 0.8257878360324256
+    },
+    {
+      "epoch": 6,
+      "loss": 0.14982920505106448,
+      "seg_src": 0.06686533676227555,
+      "dom": 0.0056518549125758,
+      "seg_tgt": 0.07731201335089281,
+      "grl": 0.9453064264076343
+    },
+    {
+      "epoch": 7,
+      "loss": 0.13824757447466254,
+      "seg_src": 0.06227830373449251,
+      "dom": 0.0052141433683573265,
+      "seg_tgt": 0.07075512730283663,
+      "grl": 0.9728461661125112
+    },
+    {
+      "epoch": 8,
+      "loss": 0.13118619043380023,
+      "seg_src": 0.059785549553344024,
+      "dom": 0.005737753643479664,
+      "seg_tgt": 0.06566288712318055,
+      "grl": 0.9866142981514305
+    },
+    {
+      "epoch": 9,
+      "loss": 0.11974554617889226,
+      "seg_src": 0.05689105743309483,
+      "dom": 0.005468676102755126,
+      "seg_tgt": 0.05738581262121443,
+      "grl": 0.9934246772281319
+    },
+    {
+      "epoch": 10,
+      "loss": 0.12743092267774045,
+      "seg_src": 0.05727504956070334,
+      "dom": 0.004821456702338764,
+      "seg_tgt": 0.06533441583393142,
+      "grl": 0.9967756945029476,
+      "val_dice": 0.8712495977346052,
+      "test_patch_dice": 0.8602156025029851,
+      "test_image_dice": 0.7928081797310632
+    },
+    {
+      "epoch": 11,
+      "loss": 0.10518693226855248,
+      "seg_src": 0.049056300384690985,
+      "dom": 0.0052851477210060695,
+      "seg_tgt": 0.05084548407059628,
+      "grl": 0.9984202681165271
+    },
+    {
+      "epoch": 12,
+      "loss": 0.11000581330619752,
+      "seg_src": 0.048793506442161745,
+      "dom": 0.00541922301723389,
+      "seg_tgt": 0.055793084105243904,
+      "grl": 0.999226343498715
+    },
+    {
+      "epoch": 13,
+      "loss": 0.11443183085415512,
+      "seg_src": 0.0537566799466731,
+      "dom": 0.006640275617828592,
+      "seg_tgt": 0.0540348752954742,
+      "grl": 0.9996211881123498
+    },
+    {
+      "epoch": 14,
+      "loss": 0.09424987885169685,
+      "seg_src": 0.045409785071969966,
+      "dom": 0.005439835300203413,
+      "seg_tgt": 0.04340025852114195,
+      "grl": 0.9998145378686683
+    },
+    {
+      "epoch": 15,
+      "loss": 0.09156500726472587,
+      "seg_src": 0.04363642248004908,
+      "dom": 0.00599413755495334,
+      "seg_tgt": 0.04193444739095867,
+      "grl": 0.9999092042625952,
+      "val_dice": 0.8801882566912168,
+      "test_patch_dice": 0.8574120153641115,
+      "test_image_dice": 0.8038397608697343
+    }
+  ],
+  "data_access": "sources: labeled train patches; target: unlabeled train pool + random upfront budget of train labels; val: logged only (no selection, final model); test: evaluation only",
+  "gpu": "NVIDIA GeForce RTX 3070",
+  "torch": "2.5.1+cu118"
+}

baselines/adapt/bayzid-system-2/runs/membrane/whole-mouse-brain/mldb_e15_b10_s3/log.txt

@@ -0,0 +1 @@
+[04:04:10][       7s] START mldb target=whole-mouse-brain task=membrane budget=10% (592/5925 labeled) seed=3 epochs=15 x 400 steps | sources (1): dhanyasi-P14-mouse-cerebellum | val 1250 test 1300 | bs=8 src_bs=8 lr=0.0001 mu=0.1 gamma=10.0 amp=True gpu=NVIDIA GeForce RTX 3070

baselines/adapt/bayzid-system-2/runs/membrane/whole-mouse-brain/mtda_e15_b10_s2/log.txt

@@ -0,0 +1,17 @@
+[22:11:52][       6s] START mtda target=whole-mouse-brain task=membrane budget=10% (592/5925 labeled) seed=2 epochs=15 x 400 steps | sources (1): dhanyasi-P14-mouse-cerebellum | val 1250 test 1300 | bs=8 src_bs=8 lr=0.0001 mu=0.1 gamma=10.0 amp=True gpu=NVIDIA GeForce RTX 3070
+[22:14:49][     183s] epoch 1/15 loss 0.7185 seg_src 0.3610 dom 0.0496 seg_tgt 0.3563 grl 0.05
+[22:17:37][     351s] epoch 2/15 loss 0.5389 seg_src 0.2765 dom 0.0380 seg_tgt 0.2582 grl 0.34
+[22:20:26][     521s] epoch 3/15 loss 0.4610 seg_src 0.2465 dom 0.0289 seg_tgt 0.2040 grl 0.61
+[22:23:14][     689s] epoch 4/15 loss 0.4180 seg_src 0.2304 dom 0.0226 seg_tgt 0.1702 grl 0.79
+[22:26:12][     867s] epoch 5/15 loss 0.3673 seg_src 0.2161 dom 0.0210 seg_tgt 0.1304 grl 0.89 val_dice 0.6793
+[22:29:03][    1037s] epoch 6/15 loss 0.3272 seg_src 0.2041 dom 0.0208 seg_tgt 0.1023 grl 0.95
+[22:31:54][    1208s] epoch 7/15 loss 0.2874 seg_src 0.1888 dom 0.0203 seg_tgt 0.0783 grl 0.97
+[22:34:44][    1378s] epoch 8/15 loss 0.2631 seg_src 0.1791 dom 0.0182 seg_tgt 0.0657 grl 0.99
+[22:37:35][    1549s] epoch 9/15 loss 0.2384 seg_src 0.1677 dom 0.0161 seg_tgt 0.0547 grl 0.99
+[22:40:40][    1734s] epoch 10/15 loss 0.2115 seg_src 0.1517 dom 0.0151 seg_tgt 0.0447 grl 1.00 val_dice 0.6590 | TEST patch_dice 0.6411 image_dice 0.7908
+[22:43:32][    1906s] epoch 11/15 loss 0.2110 seg_src 0.1470 dom 0.0172 seg_tgt 0.0468 grl 1.00
+[22:46:27][    2081s] epoch 12/15 loss 0.1817 seg_src 0.1299 dom 0.0148 seg_tgt 0.0370 grl 1.00
+[22:49:20][    2254s] epoch 13/15 loss 0.1727 seg_src 0.1240 dom 0.0142 seg_tgt 0.0345 grl 1.00
+[22:52:17][    2431s] epoch 14/15 loss 0.1652 seg_src 0.1182 dom 0.0144 seg_tgt 0.0326 grl 1.00
+[22:55:30][    2624s] epoch 15/15 loss 0.1829 seg_src 0.1240 dom 0.0167 seg_tgt 0.0422 grl 1.00 val_dice 0.6805 | TEST patch_dice 0.6733 image_dice 0.8126
+[22:55:31][    2625s] DONE test patch_dice 0.6733 image_dice 0.8126 patch_vi 0.3741 | cyclegan 0.0 min, train 43.6 min

baselines/adapt/bayzid-system-2/runs/membrane/whole-mouse-brain/mtda_e15_b10_s2/result.json

@@ -0,0 +1,249 @@
+{
+  "task": "membrane",
+  "target": "whole-mouse-brain",
+  "variant": "mtda",
+  "budget": 10.0,
+  "seed": 2,
+  "epochs": 15,
+  "steps_per_epoch": 400,
+  "labeled_patches": 592,
+  "train_pool": 5925,
+  "sources": [
+    "dhanyasi-P14-mouse-cerebellum"
+  ],
+  "args": {
+    "macs_repo": "/mnt/sdc1/connectomics/MACS-2",
+    "method": "mtda",
+    "source": "dhanyasi-P14-mouse-cerebellum",
+    "task": "membrane",
+    "target": "whole-mouse-brain",
+    "budget": 10.0,
+    "seed": 2,
+    "epochs": 15,
+    "max_steps": 400,
+    "bs": 8,
+    "src_bs": 8,
+    "lr": 0.0001,
+    "gamma": 10.0,
+    "mu": 0.1,
+    "gan_iters": 1500,
+    "gan_bs": 4,
+    "ngf": 32,
+    "sem_weight": 1.0,
+    "ema": 0.99,
+    "cons_weight": 1.0,
+    "mask_ratio": 0.5,
+    "kd_weight": 0.1,
+    "num_workers": 8,
+    "val_every": 5,
+    "test_epochs": "10",
+    "models_dir": "/mnt/sdc1/connectomics/MACS-2/models",
+    "out_root": "/mnt/sdc1/connectomics/MACS-baselines/adapt/results-macs",
+    "no_amp": false
+  },
+  "gan_seconds": 0.0,
+  "train_seconds": 2616.158267259598,
+  "test": {
+    "patch_dice": 0.6732614461347349,
+    "patch_iou": 0.59068176032288,
+    "patch_precision": 0.6626061748090024,
+    "patch_recall": 0.8445402921781285,
+    "patch_vi": 0.3740601884674398,
+    "n_patches": 1300,
+    "image_dice": 0.8125588476348858,
+    "image_iou": 0.7009193537785439,
+    "image_precision": 0.766358752233346,
+    "image_recall": 0.8905123127255966,
+    "image_vi": 0.4199568884018253,
+    "n_images": 52,
+    "cal_ece": 0.04385102087597963,
+    "cal_nll": 0.2567796707665529,
+    "cal_brier": 0.06181227888244293,
+    "cal_mean_confidence": 0.9665763814529027,
+    "cal_accuracy": 0.9227253605769231,
+    "cal_predicted_prevalence": 0.24241060697115385,
+    "cal_true_prevalence": 0.21078049879807692,
+    "cal_mean_probability": 0.24311500476689196,
+    "_infer_s": 9.416781425476074
+  },
+  "tests_by_epoch": {
+    "10": {
+      "patch_dice": 0.6411054867645689,
+      "patch_iou": 0.5534475997195367,
+      "patch_precision": 0.6061069858702601,
+      "patch_recall": 0.8582455592392639,
+      "patch_vi": 0.41305427639932163,
+      "n_patches": 1300,
+      "image_dice": 0.7908178545663885,
+      "image_iou": 0.6735228776679739,
+      "image_precision": 0.721514761843205,
+      "image_recall": 0.9082787850105378,
+      "image_vi": 0.4562571673220768,
+      "n_images": 52,
+      "cal_ece": 0.03791519714985682,
+      "cal_nll": 0.25188191765670914,
+      "cal_brier": 0.06960229167293945,
+      "cal_mean_confidence": 0.946619373832549,
+      "cal_accuracy": 0.9087041766826923,
+      "cal_predicted_prevalence": 0.2626231971153846,
+      "cal_true_prevalence": 0.21078049879807692,
+      "cal_mean_probability": 0.26887790748481716,
+      "_infer_s": 8.1632559299469
+    },
+    "15": {
+      "patch_dice": 0.6732614461347349,
+      "patch_iou": 0.59068176032288,
+      "patch_precision": 0.6626061748090024,
+      "patch_recall": 0.8445402921781285,
+      "patch_vi": 0.3740601884674398,
+      "n_patches": 1300,
+      "image_dice": 0.8125588476348858,
+      "image_iou": 0.7009193537785439,
+      "image_precision": 0.766358752233346,
+      "image_recall": 0.8905123127255966,
+      "image_vi": 0.4199568884018253,
+      "n_images": 52,
+      "cal_ece": 0.04385102087597963,
+      "cal_nll": 0.2567796707665529,
+      "cal_brier": 0.06181227888244293,
+      "cal_mean_confidence": 0.9665763814529027,
+      "cal_accuracy": 0.9227253605769231,
+      "cal_predicted_prevalence": 0.24241060697115385,
+      "cal_true_prevalence": 0.21078049879807692,
+      "cal_mean_probability": 0.24311500476689196,
+      "_infer_s": 9.416781425476074
+    }
+  },
+  "history": [
+    {
+      "epoch": 1,
+      "loss": 0.7184634607285261,
+      "seg_src": 0.3610477284342051,
+      "dom": 0.04958882162347436,
+      "seg_tgt": 0.3562802952155471,
+      "grl": 0.05
+    },
+    {
+      "epoch": 2,
+      "loss": 0.5389354168623686,
+      "seg_src": 0.276491070240736,
+      "dom": 0.038040370418457314,
+      "seg_tgt": 0.2582422536239028,
+      "grl": 0.3426949069654601
+    },
+    {
+      "epoch": 3,
+      "loss": 0.46101146019995215,
+      "seg_src": 0.24646931879222392,
+      "dom": 0.02894457080634311,
+      "seg_tgt": 0.20398704478517174,
+      "grl": 0.6133572603953825
+    },
+    {
+      "epoch": 4,
+      "loss": 0.41796276897192003,
+      "seg_src": 0.2304132381081581,
+      "dom": 0.022634220387553795,
+      "seg_tgt": 0.1702150054089725,
+      "grl": 0.7899988299594705
+    },
+    {
+      "epoch": 5,
+      "loss": 0.36731677420437336,
+      "seg_src": 0.2160591647401452,
+      "dom": 0.02103360556648113,
+      "seg_tgt": 0.1304426865465939,
+      "grl": 0.8913734677347187,
+      "val_dice": 0.6792652933112873
+    },
+    {
+      "epoch": 6,
+      "loss": 0.32721018970012666,
+      "seg_src": 0.20407969083636998,
+      "dom": 0.020814282825449483,
+      "seg_tgt": 0.10231621516868472,
+      "grl": 0.9453064264076343
+    },
+    {
+      "epoch": 7,
+      "loss": 0.2874456397816539,
+      "seg_src": 0.18882647281512618,
+      "dom": 0.02034997269511223,
+      "seg_tgt": 0.07826919457875192,
+      "grl": 0.9728461661125112
+    },
+    {
+      "epoch": 8,
+      "loss": 0.26305920373648406,
+      "seg_src": 0.1791310920380056,
+      "dom": 0.018224071060540154,
+      "seg_tgt": 0.06570404058787972,
+      "grl": 0.9866142981514305
+    },
+    {
+      "epoch": 9,
+      "loss": 0.23841125044971703,
+      "seg_src": 0.16770612325519324,
+      "dom": 0.016050429953611455,
+      "seg_tgt": 0.05465469704009593,
+      "grl": 0.9934246772281319
+    },
+    {
+      "epoch": 10,
+      "loss": 0.21151682887226342,
+      "seg_src": 0.15174186097458006,
+      "dom": 0.015106049709720537,
+      "seg_tgt": 0.04466891851741821,
+      "grl": 0.9967756945029476,
+      "val_dice": 0.6590171739532709,
+      "test_patch_dice": 0.6411054867645689,
+      "test_image_dice": 0.7908178545663885
+    },
+    {
+      "epoch": 11,
+      "loss": 0.21101769933477044,
+      "seg_src": 0.14700312508270144,
+      "dom": 0.017184433104703203,
+      "seg_tgt": 0.04683014115318656,
+      "grl": 0.9984202681165271
+    },
+    {
+      "epoch": 12,
+      "loss": 0.18170522928237914,
+      "seg_src": 0.12987826477736233,
+      "dom": 0.014806266115047038,
+      "seg_tgt": 0.03702069849241525,
+      "grl": 0.999226343498715
+    },
+    {
+      "epoch": 13,
+      "loss": 0.17273171331733464,
+      "seg_src": 0.12402746317442506,
+      "dom": 0.014212833822821267,
+      "seg_tgt": 0.03449141630902886,
+      "grl": 0.9996211881123498
+    },
+    {
+      "epoch": 14,
+      "loss": 0.16516721598803996,
+      "seg_src": 0.1182196107506752,
+      "dom": 0.014361846813117154,
+      "seg_tgt": 0.0325857587181963,
+      "grl": 0.9998145378686683
+    },
+    {
+      "epoch": 15,
+      "loss": 0.18287161208689212,
+      "seg_src": 0.12395359024405479,
+      "dom": 0.0167015692521818,
+      "seg_tgt": 0.04221645325189456,
+      "grl": 0.9999092042625952,
+      "val_dice": 0.6804945015659887,
+      "test_patch_dice": 0.6732614461347349,
+      "test_image_dice": 0.8125588476348858
+    }
+  ],
+  "data_access": "sources: labeled train patches; target: unlabeled train pool + random upfront budget of train labels; val: logged only (no selection, final model); test: evaluation only",
+  "gpu": "NVIDIA GeForce RTX 3070",
+  "torch": "2.5.1+cu118"
+}

baselines/adapt/bayzid-system-2/runs/mitochondria/drosophila-vnc/mldb_e15_b0_s2/log.txt

@@ -0,0 +1,17 @@
+[15:52:39][       0s] START mldb target=drosophila-vnc task=mitochondria budget=0% (0/686 labeled) seed=2 epochs=15 x 86 steps | sources (1): lucchi-pp | val 147 test 147 | bs=8 src_bs=8 lr=0.0001 mu=0.1 gamma=10.0 amp=True gpu=NVIDIA GeForce RTX 3070
+[15:53:15][      36s] epoch 1/15 loss 0.1658 seg_src 0.1564 dom 0.4121 seg_tgt 0.0000 grl 0.05
+[15:53:50][      71s] epoch 2/15 loss 0.1180 seg_src 0.0799 dom 0.3460 seg_tgt 0.0000 grl 0.34
+[15:54:24][     105s] epoch 3/15 loss 0.1532 seg_src 0.0656 dom 0.2384 seg_tgt 0.0000 grl 0.61
+[15:54:58][     139s] epoch 4/15 loss 0.2084 seg_src 0.0542 dom 0.2010 seg_tgt 0.0000 grl 0.79
+[15:55:34][     175s] epoch 5/15 loss 0.2078 seg_src 0.0475 dom 0.1621 seg_tgt 0.0000 grl 0.89 val_dice 0.1360
+[15:56:08][     209s] epoch 6/15 loss 0.1871 seg_src 0.0421 dom 0.1449 seg_tgt 0.0000 grl 0.95
+[15:56:42][     243s] epoch 7/15 loss 0.1743 seg_src 0.0437 dom 0.1306 seg_tgt 0.0000 grl 0.97
+[15:57:16][     277s] epoch 8/15 loss 0.1593 seg_src 0.0376 dom 0.1217 seg_tgt 0.0000 grl 0.99
+[15:57:50][     311s] epoch 9/15 loss 0.1347 seg_src 0.0344 dom 0.1003 seg_tgt 0.0000 grl 0.99
+[15:58:27][     348s] epoch 10/15 loss 0.1263 seg_src 0.0323 dom 0.0940 seg_tgt 0.0000 grl 1.00 val_dice 0.0800 | TEST patch_dice 0.0947 image_dice 0.0976
+[15:59:01][     382s] epoch 11/15 loss 0.1184 seg_src 0.0279 dom 0.0905 seg_tgt 0.0000 grl 1.00
+[15:59:35][     416s] epoch 12/15 loss 0.1022 seg_src 0.0262 dom 0.0760 seg_tgt 0.0000 grl 1.00
+[16:00:09][     451s] epoch 13/15 loss 0.1143 seg_src 0.0259 dom 0.0884 seg_tgt 0.0000 grl 1.00
+[16:00:43][     485s] epoch 14/15 loss 0.1022 seg_src 0.0254 dom 0.0768 seg_tgt 0.0000 grl 1.00
+[16:01:20][     521s] epoch 15/15 loss 0.1008 seg_src 0.0227 dom 0.0781 seg_tgt 0.0000 grl 1.00 val_dice 0.0609 | TEST patch_dice 0.0758 image_dice 0.0867
+[16:01:20][     521s] DONE test patch_dice 0.0758 image_dice 0.0867 patch_vi 0.7009 | cyclegan 0.0 min, train 8.7 min

baselines/adapt/bayzid-system-2/runs/mitochondria/drosophila-vnc/mldb_e15_b0_s2/result.json

@@ -0,0 +1,249 @@
+{
+  "task": "mitochondria",
+  "target": "drosophila-vnc",
+  "variant": "mldb",
+  "budget": 0.0,
+  "seed": 2,
+  "epochs": 15,
+  "steps_per_epoch": 86,
+  "labeled_patches": 0,
+  "train_pool": 686,
+  "sources": [
+    "lucchi-pp"
+  ],
+  "args": {
+    "macs_repo": "/mnt/sdc1/connectomics/MACS-2",
+    "method": "mldb",
+    "source": "lucchi-pp",
+    "task": "mitochondria",
+    "target": "drosophila-vnc",
+    "budget": 0.0,
+    "seed": 2,
+    "epochs": 15,
+    "max_steps": 400,
+    "bs": 8,
+    "src_bs": 8,
+    "lr": 0.0001,
+    "gamma": 10.0,
+    "mu": 0.1,
+    "gan_iters": 1500,
+    "gan_bs": 4,
+    "ngf": 32,
+    "sem_weight": 1.0,
+    "ema": 0.99,
+    "cons_weight": 1.0,
+    "mask_ratio": 0.5,
+    "kd_weight": 0.1,
+    "num_workers": 8,
+    "val_every": 5,
+    "test_epochs": "10",
+    "models_dir": "/mnt/sdc1/connectomics/MACS-2/models",
+    "out_root": "/mnt/sdc1/connectomics/MACS-baselines/adapt/results-macs",
+    "no_amp": false
+  },
+  "gan_seconds": 0.0,
+  "train_seconds": 519.9758212566376,
+  "test": {
+    "patch_dice": 0.07584406368762876,
+    "patch_iou": 0.04117982560021489,
+    "patch_precision": 0.05363579412086256,
+    "patch_recall": 0.3727866975308262,
+    "patch_vi": 0.7009440369951039,
+    "n_patches": 147,
+    "image_dice": 0.08668998735464206,
+    "image_iou": 0.04531116013494316,
+    "image_precision": 0.05226320441526963,
+    "image_recall": 0.27706540053430856,
+    "image_vi": 0.8381394683566284,
+    "n_images": 3,
+    "cal_ece": 0.40817256352727166,
+    "cal_nll": 0.9058408211456972,
+    "cal_brier": 0.3026061722055435,
+    "cal_mean_confidence": 0.583900646064153,
+    "cal_accuracy": 0.7115353954081632,
+    "cal_predicted_prevalence": 0.254530718537415,
+    "cal_true_prevalence": 0.05939094387755102,
+    "cal_mean_probability": 0.5343414684948267,
+    "_infer_s": 1.0993220806121826
+  },
+  "tests_by_epoch": {
+    "10": {
+      "patch_dice": 0.09468535935254313,
+      "patch_iou": 0.05134433023666667,
+      "patch_precision": 0.05238155787272462,
+      "patch_recall": 0.8888831036402148,
+      "patch_vi": 0.33028274363924887,
+      "n_patches": 147,
+      "image_dice": 0.0976328215778615,
+      "image_iou": 0.05132360708707795,
+      "image_precision": 0.051901123861297166,
+      "image_recall": 0.8224308059964422,
+      "image_vi": 0.373662903276724,
+      "n_images": 3,
+      "cal_ece": 0.8448173058709765,
+      "cal_nll": 4.527492821769779,
+      "cal_brier": 0.824694418031841,
+      "cal_mean_confidence": 0.9170619025595508,
+      "cal_accuracy": 0.09130527210884354,
+      "cal_predicted_prevalence": 0.9465481505102041,
+      "cal_true_prevalence": 0.05939094387755102,
+      "cal_mean_probability": 0.9151756747998033,
+      "_infer_s": 1.111771583557129
+    },
+    "15": {
+      "patch_dice": 0.07584406368762876,
+      "patch_iou": 0.04117982560021489,
+      "patch_precision": 0.05363579412086256,
+      "patch_recall": 0.3727866975308262,
+      "patch_vi": 0.7009440369951039,
+      "n_patches": 147,
+      "image_dice": 0.08668998735464206,
+      "image_iou": 0.04531116013494316,
+      "image_precision": 0.05226320441526963,
+      "image_recall": 0.27706540053430856,
+      "image_vi": 0.8381394683566284,
+      "n_images": 3,
+      "cal_ece": 0.40817256352727166,
+      "cal_nll": 0.9058408211456972,
+      "cal_brier": 0.3026061722055435,
+      "cal_mean_confidence": 0.583900646064153,
+      "cal_accuracy": 0.7115353954081632,
+      "cal_predicted_prevalence": 0.254530718537415,
+      "cal_true_prevalence": 0.05939094387755102,
+      "cal_mean_probability": 0.5343414684948267,
+      "_infer_s": 1.0993220806121826
+    }
+  },
+  "history": [
+    {
+      "epoch": 1,
+      "loss": 0.16579998431857243,
+      "seg_src": 0.15644682874513227,
+      "dom": 0.4121353893085968,
+      "seg_tgt": 0.0,
+      "grl": 0.05
+    },
+    {
+      "epoch": 2,
+      "loss": 0.11804204815348913,
+      "seg_src": 0.07993140266558459,
+      "dom": 0.34599692253179326,
+      "seg_tgt": 0.0,
+      "grl": 0.3426949069654601
+    },
+    {
+      "epoch": 3,
+      "loss": 0.1531719955247502,
+      "seg_src": 0.06561132000629293,
+      "dom": 0.238434202275997,
+      "seg_tgt": 0.0,
+      "grl": 0.6133572603953825
+    },
+    {
+      "epoch": 4,
+      "loss": 0.2083734493962554,
+      "seg_src": 0.05416790162061536,
+      "dom": 0.20096406392579855,
+      "seg_tgt": 0.0,
+      "grl": 0.7899988299594705
+    },
+    {
+      "epoch": 5,
+      "loss": 0.207819729350334,
+      "seg_src": 0.04749838379753191,
+      "dom": 0.16210435339531234,
+      "seg_tgt": 0.0,
+      "grl": 0.8913734677347187,
+      "val_dice": 0.13604744888249762
+    },
+    {
+      "epoch": 6,
+      "loss": 0.18706117275842402,
+      "seg_src": 0.04212074579541073,
+      "dom": 0.14494042704964794,
+      "seg_tgt": 0.0,
+      "grl": 0.9453064264076343
+    },
+    {
+      "epoch": 7,
+      "loss": 0.1742903486240742,
+      "seg_src": 0.04370956525726374,
+      "dom": 0.13058078367003176,
+      "seg_tgt": 0.0,
+      "grl": 0.9728461661125112
+    },
+    {
+      "epoch": 8,
+      "loss": 0.15928004647410193,
+      "seg_src": 0.03761390484003133,
+      "dom": 0.12166614206724388,
+      "seg_tgt": 0.0,
+      "grl": 0.9866142981514305
+    },
+    {
+      "epoch": 9,
+      "loss": 0.13470078753524048,
+      "seg_src": 0.03435729184122973,
+      "dom": 0.10034349643040535,
+      "seg_tgt": 0.0,
+      "grl": 0.9934246772281319
+    },
+    {
+      "epoch": 10,
+      "loss": 0.12632998312975086,
+      "seg_src": 0.03232116787152928,
+      "dom": 0.09400881553978421,
+      "seg_tgt": 0.0,
+      "grl": 0.9967756945029476,
+      "val_dice": 0.0799502141047219,
+      "test_patch_dice": 0.09468535935254313,
+      "test_image_dice": 0.0976328215778615
+    },
+    {
+      "epoch": 11,
+      "loss": 0.11837920174002647,
+      "seg_src": 0.02790184180403865,
+      "dom": 0.09047735984935316,
+      "seg_tgt": 0.0,
+      "grl": 0.9984202681165271
+    },
+    {
+      "epoch": 12,
+      "loss": 0.10220054381115493,
+      "seg_src": 0.02622657002837852,
+      "dom": 0.07597397354453109,
+      "seg_tgt": 0.0,
+      "grl": 0.999226343498715
+    },
+    {
+      "epoch": 13,
+      "loss": 0.11434471667852512,
+      "seg_src": 0.025939976352505213,
+      "dom": 0.08840473988201729,
+      "seg_tgt": 0.0,
+      "grl": 0.9996211881123498
+    },
+    {
+      "epoch": 14,
+      "loss": 0.10216202391961286,
+      "seg_src": 0.02539155198001238,
+      "dom": 0.07677047162554985,
+      "seg_tgt": 0.0,
+      "grl": 0.9998145378686683
+    },
+    {
+      "epoch": 15,
+      "loss": 0.10080460268397663,
+      "seg_src": 0.02271784317874631,
+      "dom": 0.07808675963518232,
+      "seg_tgt": 0.0,
+      "grl": 0.9999092042625952,
+      "val_dice": 0.06089538136401873,
+      "test_patch_dice": 0.07584406368762876,
+      "test_image_dice": 0.08668998735464206
+    }
+  ],
+  "data_access": "sources: labeled train patches; target: unlabeled train pool + random upfront budget of train labels; val: logged only (no selection, final model); test: evaluation only",
+  "gpu": "NVIDIA GeForce RTX 3070",
+  "torch": "2.5.1+cu118"
+}

baselines/adapt/bayzid-system-2/runs/mitochondria/drosophila-vnc/mldb_e15_b0_s3/log.txt

@@ -0,0 +1,17 @@
+[02:19:40][       0s] START mldb target=drosophila-vnc task=mitochondria budget=0% (0/686 labeled) seed=3 epochs=15 x 86 steps | sources (1): lucchi-pp | val 147 test 147 | bs=8 src_bs=8 lr=0.0001 mu=0.1 gamma=10.0 amp=True gpu=NVIDIA GeForce RTX 3070
+[02:20:25][      45s] epoch 1/15 loss 0.1895 seg_src 0.1822 dom 0.2883 seg_tgt 0.0000 grl 0.05
+[02:21:01][      81s] epoch 2/15 loss 0.1306 seg_src 0.0881 dom 0.3805 seg_tgt 0.0000 grl 0.34
+[02:21:38][     118s] epoch 3/15 loss 0.1657 seg_src 0.0716 dom 0.2585 seg_tgt 0.0000 grl 0.61
+[02:22:14][     155s] epoch 4/15 loss 0.2189 seg_src 0.0644 dom 0.2025 seg_tgt 0.0000 grl 0.79
+[02:22:54][     194s] epoch 5/15 loss 0.2207 seg_src 0.0612 dom 0.1613 seg_tgt 0.0000 grl 0.89 val_dice 0.0855
+[02:23:31][     231s] epoch 6/15 loss 0.1906 seg_src 0.0538 dom 0.1368 seg_tgt 0.0000 grl 0.95
+[02:24:09][     269s] epoch 7/15 loss 0.1631 seg_src 0.0475 dom 0.1157 seg_tgt 0.0000 grl 0.97
+[02:24:46][     306s] epoch 8/15 loss 0.1381 seg_src 0.0425 dom 0.0956 seg_tgt 0.0000 grl 0.99
+[02:25:23][     343s] epoch 9/15 loss 0.1442 seg_src 0.0387 dom 0.1055 seg_tgt 0.0000 grl 0.99
+[02:26:06][     386s] epoch 10/15 loss 0.1326 seg_src 0.0358 dom 0.0968 seg_tgt 0.0000 grl 1.00 val_dice 0.0840 | TEST patch_dice 0.1051 image_dice 0.1134
+[02:26:44][     424s] epoch 11/15 loss 0.1217 seg_src 0.0305 dom 0.0912 seg_tgt 0.0000 grl 1.00
+[02:27:23][     464s] epoch 12/15 loss 0.1232 seg_src 0.0341 dom 0.0891 seg_tgt 0.0000 grl 1.00
+[02:28:01][     501s] epoch 13/15 loss 0.1348 seg_src 0.0299 dom 0.1049 seg_tgt 0.0000 grl 1.00
+[02:28:39][     539s] epoch 14/15 loss 0.1083 seg_src 0.0251 dom 0.0832 seg_tgt 0.0000 grl 1.00
+[02:29:22][     582s] epoch 15/15 loss 0.1060 seg_src 0.0236 dom 0.0824 seg_tgt 0.0000 grl 1.00 val_dice 0.0581 | TEST patch_dice 0.0771 image_dice 0.0818
+[02:29:23][     583s] DONE test patch_dice 0.0771 image_dice 0.0818 patch_vi 0.7249 | cyclegan 0.0 min, train 9.6 min

baselines/adapt/bayzid-system-2/runs/mitochondria/drosophila-vnc/mldb_e15_b0_s3/result.json

@@ -0,0 +1,249 @@
+{
+  "task": "mitochondria",
+  "target": "drosophila-vnc",
+  "variant": "mldb",
+  "budget": 0.0,
+  "seed": 3,
+  "epochs": 15,
+  "steps_per_epoch": 86,
+  "labeled_patches": 0,
+  "train_pool": 686,
+  "sources": [
+    "lucchi-pp"
+  ],
+  "args": {
+    "macs_repo": "/mnt/sdc1/connectomics/MACS-2",
+    "method": "mldb",
+    "source": "lucchi-pp",
+    "task": "mitochondria",
+    "target": "drosophila-vnc",
+    "budget": 0.0,
+    "seed": 3,
+    "epochs": 15,
+    "max_steps": 400,
+    "bs": 8,
+    "src_bs": 8,
+    "lr": 0.0001,
+    "gamma": 10.0,
+    "mu": 0.1,
+    "gan_iters": 1500,
+    "gan_bs": 4,
+    "ngf": 32,
+    "sem_weight": 1.0,
+    "ema": 0.99,
+    "cons_weight": 1.0,
+    "mask_ratio": 0.5,
+    "kd_weight": 0.1,
+    "num_workers": 8,
+    "val_every": 5,
+    "test_epochs": "10",
+    "models_dir": "/mnt/sdc1/connectomics/MACS-2/models",
+    "out_root": "/mnt/sdc1/connectomics/MACS-baselines/adapt/results-macs",
+    "no_amp": false
+  },
+  "gan_seconds": 0.0,
+  "train_seconds": 578.2655041217804,
+  "test": {
+    "patch_dice": 0.07705952275466259,
+    "patch_iou": 0.041367933697399814,
+    "patch_precision": 0.04593243785234376,
+    "patch_recall": 0.5870458383167143,
+    "patch_vi": 0.7249473793762202,
+    "n_patches": 147,
+    "image_dice": 0.08179216164623676,
+    "image_iou": 0.042642012531335434,
+    "image_precision": 0.0449296285724908,
+    "image_recall": 0.46537273309126514,
+    "image_vi": 0.8521767286704053,
+    "n_images": 3,
+    "cal_ece": 0.42485023166312774,
+    "cal_nll": 1.573209777912036,
+    "cal_brier": 0.443598779637802,
+    "cal_mean_confidence": 0.7036195590414209,
+    "cal_accuracy": 0.42289142219387754,
+    "cal_predicted_prevalence": 0.56863174957483,
+    "cal_true_prevalence": 0.05939094387755102,
+    "cal_mean_probability": 0.6341304752575774,
+    "_infer_s": 2.812375545501709
+  },
+  "tests_by_epoch": {
+    "10": {
+      "patch_dice": 0.10512127272466125,
+      "patch_iou": 0.057762746601519616,
+      "patch_precision": 0.05789699568543278,
+      "patch_recall": 0.982935183396643,
+      "patch_vi": 0.23357163027331973,
+      "n_patches": 147,
+      "image_dice": 0.11338385132669458,
+      "image_iou": 0.06010235179673642,
+      "image_precision": 0.06014934376117612,
+      "image_recall": 0.987746653251242,
+      "image_vi": 0.25152794302994713,
+      "n_images": 3,
+      "cal_ece": 0.8103931479702673,
+      "cal_nll": 3.006755700811633,
+      "cal_brier": 0.7395127332257482,
+      "cal_mean_confidence": 0.8745473252661857,
+      "cal_accuracy": 0.06415417729591837,
+      "cal_predicted_prevalence": 0.9923535820578231,
+      "cal_true_prevalence": 0.05939094387755102,
+      "cal_mean_probability": 0.8743674775677615,
+      "_infer_s": 2.82747220993042
+    },
+    "15": {
+      "patch_dice": 0.07705952275466259,
+      "patch_iou": 0.041367933697399814,
+      "patch_precision": 0.04593243785234376,
+      "patch_recall": 0.5870458383167143,
+      "patch_vi": 0.7249473793762202,
+      "n_patches": 147,
+      "image_dice": 0.08179216164623676,
+      "image_iou": 0.042642012531335434,
+      "image_precision": 0.0449296285724908,
+      "image_recall": 0.46537273309126514,
+      "image_vi": 0.8521767286704053,
+      "n_images": 3,
+      "cal_ece": 0.42485023166312774,
+      "cal_nll": 1.573209777912036,
+      "cal_brier": 0.443598779637802,
+      "cal_mean_confidence": 0.7036195590414209,
+      "cal_accuracy": 0.42289142219387754,
+      "cal_predicted_prevalence": 0.56863174957483,
+      "cal_true_prevalence": 0.05939094387755102,
+      "cal_mean_probability": 0.6341304752575774,
+      "_infer_s": 2.812375545501709
+    }
+  },
+  "history": [
+    {
+      "epoch": 1,
+      "loss": 0.1895245713030183,
+      "seg_src": 0.18215155740116917,
+      "dom": 0.2882564287892608,
+      "seg_tgt": 0.0,
+      "grl": 0.05
+    },
+    {
+      "epoch": 2,
+      "loss": 0.13057937377760576,
+      "seg_src": 0.08814668811337892,
+      "dom": 0.3804851406535437,
+      "seg_tgt": 0.0,
+      "grl": 0.3426949069654601
+    },
+    {
+      "epoch": 3,
+      "loss": 0.165723652340645,
+      "seg_src": 0.07156364693371363,
+      "dom": 0.2584639305985251,
+      "seg_tgt": 0.0,
+      "grl": 0.6133572603953825
+    },
+    {
+      "epoch": 4,
+      "loss": 0.2188980944974478,
+      "seg_src": 0.06439348674097727,
+      "dom": 0.20251431541387424,
+      "seg_tgt": 0.0,
+      "grl": 0.7899988299594705
+    },
+    {
+      "epoch": 5,
+      "loss": 0.22066928983427758,
+      "seg_src": 0.06122955216398073,
+      "dom": 0.16132158231596613,
+      "seg_tgt": 0.0,
+      "grl": 0.8913734677347187,
+      "val_dice": 0.08550990615324738
+    },
+    {
+      "epoch": 6,
+      "loss": 0.19064516244932664,
+      "seg_src": 0.0538293638721455,
+      "dom": 0.13681579797073853,
+      "seg_tgt": 0.0,
+      "grl": 0.9453064264076343
+    },
+    {
+      "epoch": 7,
+      "loss": 0.16312298785115398,
+      "seg_src": 0.04745176237423059,
+      "dom": 0.11567122480550478,
+      "seg_tgt": 0.0,
+      "grl": 0.9728461661125112
+    },
+    {
+      "epoch": 8,
+      "loss": 0.13812342364081118,
+      "seg_src": 0.04247485060071529,
+      "dom": 0.09564857340829316,
+      "seg_tgt": 0.0,
+      "grl": 0.9866142981514305
+    },
+    {
+      "epoch": 9,
+      "loss": 0.14420628036523975,
+      "seg_src": 0.03868400266523971,
+      "dom": 0.10552227761336537,
+      "seg_tgt": 0.0,
+      "grl": 0.9934246772281319
+    },
+    {
+      "epoch": 10,
+      "loss": 0.13259723687241243,
+      "seg_src": 0.035800824093437475,
+      "dom": 0.09679641267068165,
+      "seg_tgt": 0.0,
+      "grl": 0.9967756945029476,
+      "val_dice": 0.08395396990404469,
+      "test_patch_dice": 0.10512127272466125,
+      "test_image_dice": 0.11338385132669458
+    },
+    {
+      "epoch": 11,
+      "loss": 0.12172362598222355,
+      "seg_src": 0.030476512235784254,
+      "dom": 0.09124711342155933,
+      "seg_tgt": 0.0,
+      "grl": 0.9984202681165271
+    },
+    {
+      "epoch": 12,
+      "loss": 0.12321728979085766,
+      "seg_src": 0.034096797884896744,
+      "dom": 0.08912049138615298,
+      "seg_tgt": 0.0,
+      "grl": 0.999226343498715
+    },
+    {
+      "epoch": 13,
+      "loss": 0.13476606493079385,
+      "seg_src": 0.02990292889867411,
+      "dom": 0.10486313627036505,
+      "seg_tgt": 0.0,
+      "grl": 0.9996211881123498
+    },
+    {
+      "epoch": 14,
+      "loss": 0.10830646112214687,
+      "seg_src": 0.025115568277447722,
+      "dom": 0.0831908929313338,
+      "seg_tgt": 0.0,
+      "grl": 0.9998145378686683
+    },
+    {
+      "epoch": 15,
+      "loss": 0.10595709553291631,
+      "seg_src": 0.023552853083454593,
+      "dom": 0.08240424326166164,
+      "seg_tgt": 0.0,
+      "grl": 0.9999092042625952,
+      "val_dice": 0.05808673389829097,
+      "test_patch_dice": 0.07705952275466259,
+      "test_image_dice": 0.08179216164623676
+    }
+  ],
+  "data_access": "sources: labeled train patches; target: unlabeled train pool + random upfront budget of train labels; val: logged only (no selection, final model); test: evaluation only",
+  "gpu": "NVIDIA GeForce RTX 3070",
+  "torch": "2.5.1+cu118"
+}

baselines/adapt/bayzid-system-2/runs/mitochondria/drosophila-vnc/mldb_e15_b10_s3/log.txt

@@ -0,0 +1 @@
+[04:02:27][       0s] START mldb target=drosophila-vnc task=mitochondria budget=10% (68/686 labeled) seed=3 epochs=15 x 86 steps | sources (1): lucchi-pp | val 147 test 147 | bs=8 src_bs=8 lr=0.0001 mu=0.1 gamma=10.0 amp=True gpu=NVIDIA GeForce RTX 3070

baselines/adapt/bayzid-system-2/runs/mitochondria/drosophila-vnc/mtda_e15_b0_s2/log.txt

@@ -0,0 +1,17 @@
+[15:46:21][       0s] START mtda target=drosophila-vnc task=mitochondria budget=0% (0/686 labeled) seed=2 epochs=15 x 86 steps | sources (1): lucchi-pp | val 147 test 147 | bs=8 src_bs=8 lr=0.0001 mu=0.1 gamma=10.0 amp=True gpu=NVIDIA GeForce RTX 3070
+[15:46:47][      26s] epoch 1/15 loss 0.1872 seg_src 0.1844 dom 0.1178 seg_tgt 0.0000 grl 0.05
+[15:47:12][      51s] epoch 2/15 loss 0.1095 seg_src 0.0966 dom 0.1168 seg_tgt 0.0000 grl 0.34
+[15:47:36][      75s] epoch 3/15 loss 0.1139 seg_src 0.0801 dom 0.0922 seg_tgt 0.0000 grl 0.61
+[15:48:01][     100s] epoch 4/15 loss 0.1137 seg_src 0.0769 dom 0.0488 seg_tgt 0.0000 grl 0.79
+[15:48:26][     125s] epoch 5/15 loss 0.1077 seg_src 0.0740 dom 0.0341 seg_tgt 0.0000 grl 0.89 val_dice 0.2673
+[15:48:51][     150s] epoch 6/15 loss 0.0951 seg_src 0.0672 dom 0.0279 seg_tgt 0.0000 grl 0.95
+[15:49:15][     174s] epoch 7/15 loss 0.0784 seg_src 0.0552 dom 0.0232 seg_tgt 0.0000 grl 0.97
+[15:49:40][     199s] epoch 8/15 loss 0.0670 seg_src 0.0466 dom 0.0204 seg_tgt 0.0000 grl 0.99
+[15:50:04][     223s] epoch 9/15 loss 0.0550 seg_src 0.0399 dom 0.0151 seg_tgt 0.0000 grl 0.99
+[15:50:31][     250s] epoch 10/15 loss 0.0496 seg_src 0.0365 dom 0.0131 seg_tgt 0.0000 grl 1.00 val_dice 0.4434 | TEST patch_dice 0.5554 image_dice 0.6785
+[15:50:55][     274s] epoch 11/15 loss 0.0403 seg_src 0.0300 dom 0.0103 seg_tgt 0.0000 grl 1.00
+[15:51:20][     299s] epoch 12/15 loss 0.0378 seg_src 0.0285 dom 0.0093 seg_tgt 0.0000 grl 1.00
+[15:51:44][     323s] epoch 13/15 loss 0.0341 seg_src 0.0254 dom 0.0087 seg_tgt 0.0000 grl 1.00
+[15:52:09][     348s] epoch 14/15 loss 0.0326 seg_src 0.0249 dom 0.0076 seg_tgt 0.0000 grl 1.00
+[15:52:36][     375s] epoch 15/15 loss 0.0290 seg_src 0.0216 dom 0.0074 seg_tgt 0.0000 grl 1.00 val_dice 0.5653 | TEST patch_dice 0.6121 image_dice 0.7316
+[15:52:36][     375s] DONE test patch_dice 0.6121 image_dice 0.7316 patch_vi 0.2057 | cyclegan 0.0 min, train 6.2 min

baselines/adapt/bayzid-system-2/runs/mitochondria/drosophila-vnc/mtda_e15_b0_s2/result.json

@@ -0,0 +1,249 @@
+{
+  "task": "mitochondria",
+  "target": "drosophila-vnc",
+  "variant": "mtda",
+  "budget": 0.0,
+  "seed": 2,
+  "epochs": 15,
+  "steps_per_epoch": 86,
+  "labeled_patches": 0,
+  "train_pool": 686,
+  "sources": [
+    "lucchi-pp"
+  ],
+  "args": {
+    "macs_repo": "/mnt/sdc1/connectomics/MACS-2",
+    "method": "mtda",
+    "source": "lucchi-pp",
+    "task": "mitochondria",
+    "target": "drosophila-vnc",
+    "budget": 0.0,
+    "seed": 2,
+    "epochs": 15,
+    "max_steps": 400,
+    "bs": 8,
+    "src_bs": 8,
+    "lr": 0.0001,
+    "gamma": 10.0,
+    "mu": 0.1,
+    "gan_iters": 1500,
+    "gan_bs": 4,
+    "ngf": 32,
+    "sem_weight": 1.0,
+    "ema": 0.99,
+    "cons_weight": 1.0,
+    "mask_ratio": 0.5,
+    "kd_weight": 0.1,
+    "num_workers": 8,
+    "val_every": 5,
+    "test_epochs": "10",
+    "models_dir": "/mnt/sdc1/connectomics/MACS-2/models",
+    "out_root": "/mnt/sdc1/connectomics/MACS-baselines/adapt/results-macs",
+    "no_amp": false
+  },
+  "gan_seconds": 0.0,
+  "train_seconds": 373.9006767272949,
+  "test": {
+    "patch_dice": 0.6121095756221929,
+    "patch_iou": 0.5127606757764092,
+    "patch_precision": 0.6115163852985331,
+    "patch_recall": 0.7696359741397926,
+    "patch_vi": 0.20568938622379185,
+    "n_patches": 147,
+    "image_dice": 0.7316032466874169,
+    "image_iou": 0.5768181127354489,
+    "image_precision": 0.6663907260381657,
+    "image_recall": 0.8116439357531894,
+    "image_vi": 0.25205044264433446,
+    "n_images": 3,
+    "cal_ece": 0.11355318015046359,
+    "cal_nll": 0.2241244777762966,
+    "cal_brier": 0.04774949036128696,
+    "cal_mean_confidence": 0.859519953381971,
+    "cal_accuracy": 0.9623790922619048,
+    "cal_predicted_prevalence": 0.07223240858843537,
+    "cal_true_prevalence": 0.05939094387755102,
+    "cal_mean_probability": 0.19460032786087855,
+    "_infer_s": 1.0997183322906494
+  },
+  "tests_by_epoch": {
+    "10": {
+      "patch_dice": 0.5553889500056467,
+      "patch_iou": 0.44268073049039924,
+      "patch_precision": 0.4884827382267457,
+      "patch_recall": 0.7890542530675134,
+      "patch_vi": 0.2641675428335206,
+      "n_patches": 147,
+      "image_dice": 0.6785456118105601,
+      "image_iou": 0.5137653839074889,
+      "image_precision": 0.560848411291224,
+      "image_recall": 0.8617194905200862,
+      "image_vi": 0.305438786438435,
+      "n_images": 3,
+      "cal_ece": 0.14824878051964258,
+      "cal_nll": 0.28961966310628173,
+      "cal_brier": 0.06965462306069699,
+      "cal_mean_confidence": 0.8168427607430068,
+      "cal_accuracy": 0.949750212585034,
+      "cal_predicted_prevalence": 0.08960459183673469,
+      "cal_true_prevalence": 0.05939094387755102,
+      "cal_mean_probability": 0.24214069390010842,
+      "_infer_s": 1.1074473857879639
+    },
+    "15": {
+      "patch_dice": 0.6121095756221929,
+      "patch_iou": 0.5127606757764092,
+      "patch_precision": 0.6115163852985331,
+      "patch_recall": 0.7696359741397926,
+      "patch_vi": 0.20568938622379185,
+      "n_patches": 147,
+      "image_dice": 0.7316032466874169,
+      "image_iou": 0.5768181127354489,
+      "image_precision": 0.6663907260381657,
+      "image_recall": 0.8116439357531894,
+      "image_vi": 0.25205044264433446,
+      "n_images": 3,
+      "cal_ece": 0.11355318015046359,
+      "cal_nll": 0.2241244777762966,
+      "cal_brier": 0.04774949036128696,
+      "cal_mean_confidence": 0.859519953381971,
+      "cal_accuracy": 0.9623790922619048,
+      "cal_predicted_prevalence": 0.07223240858843537,
+      "cal_true_prevalence": 0.05939094387755102,
+      "cal_mean_probability": 0.19460032786087855,
+      "_infer_s": 1.0997183322906494
+    }
+  },
+  "history": [
+    {
+      "epoch": 1,
+      "loss": 0.1871981323631697,
+      "seg_src": 0.18436939745794895,
+      "dom": 0.11782346494755773,
+      "seg_tgt": 0.0,
+      "grl": 0.05
+    },
+    {
+      "epoch": 2,
+      "loss": 0.109500955357108,
+      "seg_src": 0.0966044187892315,
+      "dom": 0.1168197228811508,
+      "seg_tgt": 0.0,
+      "grl": 0.3426949069654601
+    },
+    {
+      "epoch": 3,
+      "loss": 0.11389387806141099,
+      "seg_src": 0.08012912331452203,
+      "dom": 0.09219585558356241,
+      "seg_tgt": 0.0,
+      "grl": 0.6133572603953825
+    },
+    {
+      "epoch": 4,
+      "loss": 0.11368933865843817,
+      "seg_src": 0.0768531842460466,
+      "dom": 0.04877659102338691,
+      "seg_tgt": 0.0,
+      "grl": 0.7899988299594705
+    },
+    {
+      "epoch": 5,
+      "loss": 0.10772093818631283,
+      "seg_src": 0.07398214199861815,
+      "dom": 0.03412200872201559,
+      "seg_tgt": 0.0,
+      "grl": 0.8913734677347187,
+      "val_dice": 0.26733557809111214
+    },
+    {
+      "epoch": 6,
+      "loss": 0.09506362667957018,
+      "seg_src": 0.06718329937998639,
+      "dom": 0.02788032742953578,
+      "seg_tgt": 0.0,
+      "grl": 0.9453064264076343
+    },
+    {
+      "epoch": 7,
+      "loss": 0.07838199053739392,
+      "seg_src": 0.05515760685815368,
+      "dom": 0.023224383809192235,
+      "seg_tgt": 0.0,
+      "grl": 0.9728461661125112
+    },
+    {
+      "epoch": 8,
+      "loss": 0.06698288374342197,
+      "seg_src": 0.0466315858066082,
+      "dom": 0.020351297871837783,
+      "seg_tgt": 0.0,
+      "grl": 0.9866142981514305
+    },
+    {
+      "epoch": 9,
+      "loss": 0.054954662182649903,
+      "seg_src": 0.03985089210923328,
+      "dom": 0.015103769813512647,
+      "seg_tgt": 0.0,
+      "grl": 0.9934246772281319
+    },
+    {
+      "epoch": 10,
+      "loss": 0.04955464047054912,
+      "seg_src": 0.03647325378517772,
+      "dom": 0.013081386609566073,
+      "seg_tgt": 0.0,
+      "grl": 0.9967756945029476,
+      "val_dice": 0.44341781113947243,
+      "test_patch_dice": 0.5553889500056467,
+      "test_image_dice": 0.6785456118105601
+    },
+    {
+      "epoch": 11,
+      "loss": 0.040335779533136724,
+      "seg_src": 0.030004456444361876,
+      "dom": 0.010331322969652192,
+      "seg_tgt": 0.0,
+      "grl": 0.9984202681165271
+    },
+    {
+      "epoch": 12,
+      "loss": 0.037797060037075086,
+      "seg_src": 0.028536478339066338,
+      "dom": 0.009260581898351395,
+      "seg_tgt": 0.0,
+      "grl": 0.999226343498715
+    },
+    {
+      "epoch": 13,
+      "loss": 0.03408322799517665,
+      "seg_src": 0.025391396882315707,
+      "dom": 0.008691830988323618,
+      "seg_tgt": 0.0,
+      "grl": 0.9996211881123498
+    },
+    {
+      "epoch": 14,
+      "loss": 0.03257246781140566,
+      "seg_src": 0.024931171324190704,
+      "dom": 0.007641296378921631,
+      "seg_tgt": 0.0,
+      "grl": 0.9998145378686683
+    },
+    {
+      "epoch": 15,
+      "loss": 0.02895570752145939,
+      "seg_src": 0.021581265815468723,
+      "dom": 0.007374441890089318,
+      "seg_tgt": 0.0,
+      "grl": 0.9999092042625952,
+      "val_dice": 0.5652698069436214,
+      "test_patch_dice": 0.6121095756221929,
+      "test_image_dice": 0.7316032466874169
+    }
+  ],
+  "data_access": "sources: labeled train patches; target: unlabeled train pool + random upfront budget of train labels; val: logged only (no selection, final model); test: evaluation only",
+  "gpu": "NVIDIA GeForce RTX 3070",
+  "torch": "2.5.1+cu118"
+}

baselines/adapt/bayzid-system-2/runs/mitochondria/drosophila-vnc/mtda_e15_b0_s3/log.txt

@@ -0,0 +1,17 @@
+[02:29:33][       0s] START mtda target=drosophila-vnc task=mitochondria budget=0% (0/686 labeled) seed=3 epochs=15 x 86 steps | sources (1): lucchi-pp | val 147 test 147 | bs=8 src_bs=8 lr=0.0001 mu=0.1 gamma=10.0 amp=True gpu=NVIDIA GeForce RTX 3070
+[02:30:09][      36s] epoch 1/15 loss 0.2434 seg_src 0.2410 dom 0.0988 seg_tgt 0.0000 grl 0.05
+[02:30:36][      63s] epoch 2/15 loss 0.1495 seg_src 0.1356 dom 0.1260 seg_tgt 0.0000 grl 0.34
+[02:31:03][      90s] epoch 3/15 loss 0.1373 seg_src 0.1011 dom 0.0973 seg_tgt 0.0000 grl 0.61
+[02:31:30][     118s] epoch 4/15 loss 0.1408 seg_src 0.0924 dom 0.0646 seg_tgt 0.0000 grl 0.79
+[02:32:01][     148s] epoch 5/15 loss 0.1305 seg_src 0.0885 dom 0.0424 seg_tgt 0.0000 grl 0.89 val_dice 0.1934
+[02:32:28][     175s] epoch 6/15 loss 0.1079 seg_src 0.0735 dom 0.0344 seg_tgt 0.0000 grl 0.95
+[02:32:55][     203s] epoch 7/15 loss 0.0950 seg_src 0.0654 dom 0.0296 seg_tgt 0.0000 grl 0.97
+[02:33:23][     230s] epoch 8/15 loss 0.0828 seg_src 0.0561 dom 0.0267 seg_tgt 0.0000 grl 0.99
+[02:33:51][     258s] epoch 9/15 loss 0.0723 seg_src 0.0503 dom 0.0220 seg_tgt 0.0000 grl 0.99
+[02:34:24][     291s] epoch 10/15 loss 0.0623 seg_src 0.0434 dom 0.0189 seg_tgt 0.0000 grl 1.00 val_dice 0.4187 | TEST patch_dice 0.4964 image_dice 0.5693
+[02:34:51][     318s] epoch 11/15 loss 0.0595 seg_src 0.0424 dom 0.0171 seg_tgt 0.0000 grl 1.00
+[02:35:21][     348s] epoch 12/15 loss 0.0531 seg_src 0.0387 dom 0.0143 seg_tgt 0.0000 grl 1.00
+[02:35:48][     375s] epoch 13/15 loss 0.0441 seg_src 0.0323 dom 0.0118 seg_tgt 0.0000 grl 1.00
+[02:36:16][     403s] epoch 14/15 loss 0.0402 seg_src 0.0295 dom 0.0107 seg_tgt 0.0000 grl 1.00
+[02:36:49][     436s] epoch 15/15 loss 0.0375 seg_src 0.0278 dom 0.0097 seg_tgt 0.0000 grl 1.00 val_dice 0.3675 | TEST patch_dice 0.5089 image_dice 0.6048
+[02:36:50][     437s] DONE test patch_dice 0.5089 image_dice 0.6048 patch_vi 0.3164 | cyclegan 0.0 min, train 7.2 min

baselines/adapt/bayzid-system-2/runs/mitochondria/drosophila-vnc/mtda_e15_b0_s3/result.json

@@ -0,0 +1,249 @@
+{
+  "task": "mitochondria",
+  "target": "drosophila-vnc",
+  "variant": "mtda",
+  "budget": 0.0,
+  "seed": 3,
+  "epochs": 15,
+  "steps_per_epoch": 86,
+  "labeled_patches": 0,
+  "train_pool": 686,
+  "sources": [
+    "lucchi-pp"
+  ],
+  "args": {
+    "macs_repo": "/mnt/sdc1/connectomics/MACS-2",
+    "method": "mtda",
+    "source": "lucchi-pp",
+    "task": "mitochondria",
+    "target": "drosophila-vnc",
+    "budget": 0.0,
+    "seed": 3,
+    "epochs": 15,
+    "max_steps": 400,
+    "bs": 8,
+    "src_bs": 8,
+    "lr": 0.0001,
+    "gamma": 10.0,
+    "mu": 0.1,
+    "gan_iters": 1500,
+    "gan_bs": 4,
+    "ngf": 32,
+    "sem_weight": 1.0,
+    "ema": 0.99,
+    "cons_weight": 1.0,
+    "mask_ratio": 0.5,
+    "kd_weight": 0.1,
+    "num_workers": 8,
+    "val_every": 5,
+    "test_epochs": "10",
+    "models_dir": "/mnt/sdc1/connectomics/MACS-2/models",
+    "out_root": "/mnt/sdc1/connectomics/MACS-baselines/adapt/results-macs",
+    "no_amp": false
+  },
+  "gan_seconds": 0.0,
+  "train_seconds": 431.6432349681854,
+  "test": {
+    "patch_dice": 0.5088660601722702,
+    "patch_iou": 0.3988791419527394,
+    "patch_precision": 0.4313659553302852,
+    "patch_recall": 0.7927446236111582,
+    "patch_vi": 0.3163903012803526,
+    "n_patches": 147,
+    "image_dice": 0.6047921835989959,
+    "image_iou": 0.43419931444524057,
+    "image_precision": 0.46682138839891407,
+    "image_recall": 0.8637242340742292,
+    "image_vi": 0.37343373572095584,
+    "n_images": 3,
+    "cal_ece": 0.16401093297963237,
+    "cal_nll": 0.35610969260406183,
+    "cal_brier": 0.08713536397207533,
+    "cal_mean_confidence": 0.7907751824454949,
+    "cal_accuracy": 0.9337266156462585,
+    "cal_predicted_prevalence": 0.10706313775510204,
+    "cal_true_prevalence": 0.05939094387755102,
+    "cal_mean_probability": 0.27580109142042375,
+    "_infer_s": 2.64790678024292
+  },
+  "tests_by_epoch": {
+    "10": {
+      "patch_dice": 0.49643880424982756,
+      "patch_iou": 0.39022074386077316,
+      "patch_precision": 0.5375956672222969,
+      "patch_recall": 0.6022670958941313,
+      "patch_vi": 0.2517215022029675,
+      "n_patches": 147,
+      "image_dice": 0.5692884253146286,
+      "image_iou": 0.39813097801302866,
+      "image_precision": 0.591116917060774,
+      "image_recall": 0.5575998217076709,
+      "image_vi": 0.3138052694875713,
+      "n_images": 3,
+      "cal_ece": 0.19708025155736333,
+      "cal_nll": 0.3336281412279665,
+      "cal_brier": 0.09095558963589358,
+      "cal_mean_confidence": 0.754994678469698,
+      "cal_accuracy": 0.9498498618197279,
+      "cal_predicted_prevalence": 0.05832137542517007,
+      "cal_true_prevalence": 0.05939094387755102,
+      "cal_mean_probability": 0.27349131759135104,
+      "_infer_s": 2.856109619140625
+    },
+    "15": {
+      "patch_dice": 0.5088660601722702,
+      "patch_iou": 0.3988791419527394,
+      "patch_precision": 0.4313659553302852,
+      "patch_recall": 0.7927446236111582,
+      "patch_vi": 0.3163903012803526,
+      "n_patches": 147,
+      "image_dice": 0.6047921835989959,
+      "image_iou": 0.43419931444524057,
+      "image_precision": 0.46682138839891407,
+      "image_recall": 0.8637242340742292,
+      "image_vi": 0.37343373572095584,
+      "n_images": 3,
+      "cal_ece": 0.16401093297963237,
+      "cal_nll": 0.35610969260406183,
+      "cal_brier": 0.08713536397207533,
+      "cal_mean_confidence": 0.7907751824454949,
+      "cal_accuracy": 0.9337266156462585,
+      "cal_predicted_prevalence": 0.10706313775510204,
+      "cal_true_prevalence": 0.05939094387755102,
+      "cal_mean_probability": 0.27580109142042375,
+      "_infer_s": 2.64790678024292
+    }
+  },
+  "history": [
+    {
+      "epoch": 1,
+      "loss": 0.24343324469965558,
+      "seg_src": 0.2409774919235429,
+      "dom": 0.0988052690098452,
+      "seg_tgt": 0.0,
+      "grl": 0.05
+    },
+    {
+      "epoch": 2,
+      "loss": 0.14949872847213302,
+      "seg_src": 0.13555264083105464,
+      "dom": 0.12602296887442124,
+      "seg_tgt": 0.0,
+      "grl": 0.3426949069654601
+    },
+    {
+      "epoch": 3,
+      "loss": 0.1373142879889455,
+      "seg_src": 0.10114345534942872,
+      "dom": 0.0972884461976761,
+      "seg_tgt": 0.0,
+      "grl": 0.6133572603953825
+    },
+    {
+      "epoch": 4,
+      "loss": 0.14077796440484913,
+      "seg_src": 0.09238754663356515,
+      "dom": 0.06463202335980049,
+      "seg_tgt": 0.0,
+      "grl": 0.7899988299594705
+    },
+    {
+      "epoch": 5,
+      "loss": 0.13046620292372482,
+      "seg_src": 0.08851930784971215,
+      "dom": 0.04243591111586537,
+      "seg_tgt": 0.0,
+      "grl": 0.8913734677347187,
+      "val_dice": 0.19335412356873893
+    },
+    {
+      "epoch": 6,
+      "loss": 0.10787401512958282,
+      "seg_src": 0.07352367957490821,
+      "dom": 0.03435033553301595,
+      "seg_tgt": 0.0,
+      "grl": 0.9453064264076343
+    },
+    {
+      "epoch": 7,
+      "loss": 0.09497275021533634,
+      "seg_src": 0.06536696357435959,
+      "dom": 0.02960578681424607,
+      "seg_tgt": 0.0,
+      "grl": 0.9728461661125112
+    },
+    {
+      "epoch": 8,
+      "loss": 0.08282816912545714,
+      "seg_src": 0.05607996573455112,
+      "dom": 0.026748203824079313,
+      "seg_tgt": 0.0,
+      "grl": 0.9866142981514305
+    },
+    {
+      "epoch": 9,
+      "loss": 0.07234718979791153,
+      "seg_src": 0.050298582675845124,
+      "dom": 0.02204860694879709,
+      "seg_tgt": 0.0,
+      "grl": 0.9934246772281319
+    },
+    {
+      "epoch": 10,
+      "loss": 0.06230678054135899,
+      "seg_src": 0.0434232618833004,
+      "dom": 0.01888351861474126,
+      "seg_tgt": 0.0,
+      "grl": 0.9967756945029476,
+      "val_dice": 0.4186852658480588,
+      "test_patch_dice": 0.49643880424982756,
+      "test_image_dice": 0.5692884253146286
+    },
+    {
+      "epoch": 11,
+      "loss": 0.05951459636521894,
+      "seg_src": 0.04238588770115098,
+      "dom": 0.017128708891483935,
+      "seg_tgt": 0.0,
+      "grl": 0.9984202681165271
+    },
+    {
+      "epoch": 12,
+      "loss": 0.05305919094487678,
+      "seg_src": 0.038718546307537446,
+      "dom": 0.014340644637339337,
+      "seg_tgt": 0.0,
+      "grl": 0.999226343498715
+    },
+    {
+      "epoch": 13,
+      "loss": 0.04409237249299537,
+      "seg_src": 0.032311092802258426,
+      "dom": 0.011781279847762265,
+      "seg_tgt": 0.0,
+      "grl": 0.9996211881123498
+    },
+    {
+      "epoch": 14,
+      "loss": 0.04017149685167296,
+      "seg_src": 0.029463590144418007,
+      "dom": 0.01070790676681628,
+      "seg_tgt": 0.0,
+      "grl": 0.9998145378686683
+    },
+    {
+      "epoch": 15,
+      "loss": 0.03753598268295443,
+      "seg_src": 0.027823234713354777,
+      "dom": 0.009712747942526327,
+      "seg_tgt": 0.0,
+      "grl": 0.9999092042625952,
+      "val_dice": 0.36746196534956865,
+      "test_patch_dice": 0.5088660601722702,
+      "test_image_dice": 0.6047921835989959
+    }
+  ],
+  "data_access": "sources: labeled train patches; target: unlabeled train pool + random upfront budget of train labels; val: logged only (no selection, final model); test: evaluation only",
+  "gpu": "NVIDIA GeForce RTX 3070",
+  "torch": "2.5.1+cu118"
+}

baselines/adapt/bayzid-system-2/runs/mitochondria/drosophila-vnc/mtda_e15_b100_s2/log.txt

@@ -0,0 +1,17 @@
+[15:37:35][       0s] START mtda target=drosophila-vnc task=mitochondria budget=100% (686/686 labeled) seed=2 epochs=15 x 86 steps | sources (1): lucchi-pp | val 147 test 147 | bs=8 src_bs=8 lr=0.0001 mu=0.1 gamma=10.0 amp=True gpu=NVIDIA GeForce RTX 3070
+[15:38:11][      36s] epoch 1/15 loss 0.5034 seg_src 0.2376 dom 0.2090 seg_tgt 0.2604 grl 0.05
+[15:38:46][      71s] epoch 2/15 loss 0.3333 seg_src 0.1495 dom 0.3031 seg_tgt 0.1499 grl 0.34
+[15:39:20][     105s] epoch 3/15 loss 0.2713 seg_src 0.1148 dom 0.1599 seg_tgt 0.1003 grl 0.61
+[15:39:54][     139s] epoch 4/15 loss 0.2554 seg_src 0.0923 dom 0.1151 seg_tgt 0.0745 grl 0.79
+[15:40:30][     175s] epoch 5/15 loss 0.2468 seg_src 0.0724 dom 0.1154 seg_tgt 0.0602 grl 0.89 val_dice 0.7601
+[15:41:04][     209s] epoch 6/15 loss 0.2311 seg_src 0.0696 dom 0.1015 seg_tgt 0.0600 grl 0.95
+[15:41:39][     244s] epoch 7/15 loss 0.2061 seg_src 0.0703 dom 0.0768 seg_tgt 0.0590 grl 0.97
+[15:42:13][     278s] epoch 8/15 loss 0.1864 seg_src 0.0669 dom 0.0642 seg_tgt 0.0553 grl 0.99
+[15:42:47][     312s] epoch 9/15 loss 0.1623 seg_src 0.0592 dom 0.0543 seg_tgt 0.0489 grl 0.99
+[15:43:24][     349s] epoch 10/15 loss 0.1502 seg_src 0.0551 dom 0.0496 seg_tgt 0.0455 grl 1.00 val_dice 0.7863 | TEST patch_dice 0.8443 image_dice 0.9050
+[15:43:58][     383s] epoch 11/15 loss 0.1352 seg_src 0.0487 dom 0.0456 seg_tgt 0.0408 grl 1.00
+[15:44:33][     418s] epoch 12/15 loss 0.1210 seg_src 0.0440 dom 0.0398 seg_tgt 0.0372 grl 1.00
+[15:45:07][     452s] epoch 13/15 loss 0.1122 seg_src 0.0419 dom 0.0359 seg_tgt 0.0344 grl 1.00
+[15:45:41][     486s] epoch 14/15 loss 0.1033 seg_src 0.0389 dom 0.0321 seg_tgt 0.0323 grl 1.00
+[15:46:18][     523s] epoch 15/15 loss 0.0921 seg_src 0.0351 dom 0.0278 seg_tgt 0.0292 grl 1.00 val_dice 0.7938 | TEST patch_dice 0.8255 image_dice 0.8640
+[15:46:18][     523s] DONE test patch_dice 0.8255 image_dice 0.8640 patch_vi 0.1182 | cyclegan 0.0 min, train 8.7 min

baselines/adapt/bayzid-system-2/runs/mitochondria/drosophila-vnc/mtda_e15_b100_s2/result.json

@@ -0,0 +1,249 @@
+{
+  "task": "mitochondria",
+  "target": "drosophila-vnc",
+  "variant": "mtda",
+  "budget": 100.0,
+  "seed": 2,
+  "epochs": 15,
+  "steps_per_epoch": 86,
+  "labeled_patches": 686,
+  "train_pool": 686,
+  "sources": [
+    "lucchi-pp"
+  ],
+  "args": {
+    "macs_repo": "/mnt/sdc1/connectomics/MACS-2",
+    "method": "mtda",
+    "source": "lucchi-pp",
+    "task": "mitochondria",
+    "target": "drosophila-vnc",
+    "budget": 100.0,
+    "seed": 2,
+    "epochs": 15,
+    "max_steps": 400,
+    "bs": 8,
+    "src_bs": 8,
+    "lr": 0.0001,
+    "gamma": 10.0,
+    "mu": 0.1,
+    "gan_iters": 1500,
+    "gan_bs": 4,
+    "ngf": 32,
+    "sem_weight": 1.0,
+    "ema": 0.99,
+    "cons_weight": 1.0,
+    "mask_ratio": 0.5,
+    "kd_weight": 0.1,
+    "num_workers": 8,
+    "val_every": 5,
+    "test_epochs": "10",
+    "models_dir": "/mnt/sdc1/connectomics/MACS-2/models",
+    "out_root": "/mnt/sdc1/connectomics/MACS-baselines/adapt/results-macs",
+    "no_amp": false
+  },
+  "gan_seconds": 0.0,
+  "train_seconds": 521.8015468120575,
+  "test": {
+    "patch_dice": 0.8254583756018888,
+    "patch_iou": 0.7429787737262831,
+    "patch_precision": 0.8583179639756899,
+    "patch_recall": 0.856670792935181,
+    "patch_vi": 0.11815049612458693,
+    "n_patches": 147,
+    "image_dice": 0.8639733764087363,
+    "image_iou": 0.7616150320355839,
+    "image_precision": 0.8313327369278068,
+    "image_recall": 0.9000306197463996,
+    "image_vi": 0.14532973804493898,
+    "n_images": 3,
+    "cal_ece": 0.013319763614658092,
+    "cal_nll": 0.06785771411048873,
+    "cal_brier": 0.014459532573487947,
+    "cal_mean_confidence": 0.9754487461688001,
+    "cal_accuracy": 0.9822292198129252,
+    "cal_predicted_prevalence": 0.06265279549319729,
+    "cal_true_prevalence": 0.05939094387755102,
+    "cal_mean_probability": 0.0793603403374612,
+    "_infer_s": 1.1183092594146729
+  },
+  "tests_by_epoch": {
+    "10": {
+      "patch_dice": 0.8443102609495479,
+      "patch_iou": 0.770047873560562,
+      "patch_precision": 0.8740495312898454,
+      "patch_recall": 0.8754680262521018,
+      "patch_vi": 0.10230679149970381,
+      "n_patches": 147,
+      "image_dice": 0.9050465311356254,
+      "image_iou": 0.826917376764218,
+      "image_precision": 0.8940414922291523,
+      "image_recall": 0.9172529809261404,
+      "image_vi": 0.108185048244598,
+      "n_images": 3,
+      "cal_ece": 0.02747031481775672,
+      "cal_nll": 0.06126664397887903,
+      "cal_brier": 0.01087509950834646,
+      "cal_mean_confidence": 0.9609583597665636,
+      "cal_accuracy": 0.9863945578231292,
+      "cal_predicted_prevalence": 0.06110491071428571,
+      "cal_true_prevalence": 0.05939094387755102,
+      "cal_mean_probability": 0.08996762155408429,
+      "_infer_s": 1.1009979248046875
+    },
+    "15": {
+      "patch_dice": 0.8254583756018888,
+      "patch_iou": 0.7429787737262831,
+      "patch_precision": 0.8583179639756899,
+      "patch_recall": 0.856670792935181,
+      "patch_vi": 0.11815049612458693,
+      "n_patches": 147,
+      "image_dice": 0.8639733764087363,
+      "image_iou": 0.7616150320355839,
+      "image_precision": 0.8313327369278068,
+      "image_recall": 0.9000306197463996,
+      "image_vi": 0.14532973804493898,
+      "n_images": 3,
+      "cal_ece": 0.013319763614658092,
+      "cal_nll": 0.06785771411048873,
+      "cal_brier": 0.014459532573487947,
+      "cal_mean_confidence": 0.9754487461688001,
+      "cal_accuracy": 0.9822292198129252,
+      "cal_predicted_prevalence": 0.06265279549319729,
+      "cal_true_prevalence": 0.05939094387755102,
+      "cal_mean_probability": 0.0793603403374612,
+      "_infer_s": 1.1183092594146729
+    }
+  },
+  "history": [
+    {
+      "epoch": 1,
+      "loss": 0.5033721331247064,
+      "seg_src": 0.2376160039458164,
+      "dom": 0.20897874722885357,
+      "seg_tgt": 0.2603839537085489,
+      "grl": 0.05
+    },
+    {
+      "epoch": 2,
+      "loss": 0.33328946627849754,
+      "seg_src": 0.1495269392292167,
+      "dom": 0.3030677060055178,
+      "seg_tgt": 0.14990644338865614,
+      "grl": 0.3426949069654601
+    },
+    {
+      "epoch": 3,
+      "loss": 0.27129410744406457,
+      "seg_src": 0.11478232029219006,
+      "dom": 0.15992239724064983,
+      "seg_tgt": 0.10026184027624685,
+      "grl": 0.6133572603953825
+    },
+    {
+      "epoch": 4,
+      "loss": 0.2554245695125225,
+      "seg_src": 0.09229296159952186,
+      "dom": 0.11514080636376559,
+      "seg_tgt": 0.07449120092530583,
+      "grl": 0.7899988299594705
+    },
+    {
+      "epoch": 5,
+      "loss": 0.2468358363176501,
+      "seg_src": 0.07242595898204071,
+      "dom": 0.11540551561602326,
+      "seg_tgt": 0.06020455595192521,
+      "grl": 0.8913734677347187,
+      "val_dice": 0.7601345859023062
+    },
+    {
+      "epoch": 6,
+      "loss": 0.2311307216106459,
+      "seg_src": 0.06962071783667387,
+      "dom": 0.10147279665567153,
+      "seg_tgt": 0.06003720781137777,
+      "grl": 0.9453064264076343
+    },
+    {
+      "epoch": 7,
+      "loss": 0.206115375251271,
+      "seg_src": 0.07032834166704222,
+      "dom": 0.07681838630936867,
+      "seg_tgt": 0.05896864766471608,
+      "grl": 0.9728461661125112
+    },
+    {
+      "epoch": 8,
+      "loss": 0.18635796807533087,
+      "seg_src": 0.06685616782065047,
+      "dom": 0.06421439198040685,
+      "seg_tgt": 0.05528740896735081,
+      "grl": 0.9866142981514305
+    },
+    {
+      "epoch": 9,
+      "loss": 0.1623373747218487,
+      "seg_src": 0.059171660911551745,
+      "dom": 0.05430138981792816,
+      "seg_tgt": 0.04886432394905146,
+      "grl": 0.9934246772281319
+    },
+    {
+      "epoch": 10,
+      "loss": 0.15022447462691818,
+      "seg_src": 0.05514780115769353,
+      "dom": 0.04956066383178844,
+      "seg_tgt": 0.045516009377532224,
+      "grl": 0.9967756945029476,
+      "val_dice": 0.7862898883274118,
+      "test_patch_dice": 0.8443102609495479,
+      "test_image_dice": 0.9050465311356254
+    },
+    {
+      "epoch": 11,
+      "loss": 0.13515756287893585,
+      "seg_src": 0.0487305854642114,
+      "dom": 0.045579502294056634,
+      "seg_tgt": 0.040847474665835846,
+      "grl": 0.9984202681165271
+    },
+    {
+      "epoch": 12,
+      "loss": 0.12102216438845147,
+      "seg_src": 0.04396680205367332,
+      "dom": 0.03981684594480104,
+      "seg_tgt": 0.037238515848510484,
+      "grl": 0.999226343498715
+    },
+    {
+      "epoch": 13,
+      "loss": 0.11219860223490138,
+      "seg_src": 0.041884917159413185,
+      "dom": 0.03587210464269616,
+      "seg_tgt": 0.034441581104210646,
+      "grl": 0.9996211881123498
+    },
+    {
+      "epoch": 14,
+      "loss": 0.10332107266714406,
+      "seg_src": 0.03888055942086286,
+      "dom": 0.0321301527234704,
+      "seg_tgt": 0.03231036032788282,
+      "grl": 0.9998145378686683
+    },
+    {
+      "epoch": 15,
+      "loss": 0.09210440585779589,
+      "seg_src": 0.03510036126732133,
+      "dom": 0.027838849245982115,
+      "seg_tgt": 0.029165195301175117,
+      "grl": 0.9999092042625952,
+      "val_dice": 0.7937606785670132,
+      "test_patch_dice": 0.8254583756018888,
+      "test_image_dice": 0.8639733764087363
+    }
+  ],
+  "data_access": "sources: labeled train patches; target: unlabeled train pool + random upfront budget of train labels; val: logged only (no selection, final model); test: evaluation only",
+  "gpu": "NVIDIA GeForce RTX 3070",
+  "torch": "2.5.1+cu118"
+}

baselines/adapt/bayzid-system-2/runs/mitochondria/drosophila-vnc/mtda_e15_b100_s3/log.txt

@@ -0,0 +1,17 @@
+[02:37:00][       0s] START mtda target=drosophila-vnc task=mitochondria budget=100% (686/686 labeled) seed=3 epochs=15 x 86 steps | sources (1): lucchi-pp | val 147 test 147 | bs=8 src_bs=8 lr=0.0001 mu=0.1 gamma=10.0 amp=True gpu=NVIDIA GeForce RTX 3070
+[02:37:47][      47s] epoch 1/15 loss 0.6614 seg_src 0.3110 dom 0.1701 seg_tgt 0.3459 grl 0.05
+[02:38:26][      85s] epoch 2/15 loss 0.4545 seg_src 0.2081 dom 0.3073 seg_tgt 0.2111 grl 0.34
+[02:39:05][     124s] epoch 3/15 loss 0.3807 seg_src 0.1604 dom 0.1740 seg_tgt 0.1595 grl 0.61
+[02:39:43][     163s] epoch 4/15 loss 0.3297 seg_src 0.1322 dom 0.1047 seg_tgt 0.1172 grl 0.79
+[02:40:25][     205s] epoch 5/15 loss 0.2947 seg_src 0.1069 dom 0.0980 seg_tgt 0.0908 grl 0.89 val_dice 0.6335
+[02:41:04][     243s] epoch 6/15 loss 0.2649 seg_src 0.0921 dom 0.0972 seg_tgt 0.0755 grl 0.95
+[02:41:43][     282s] epoch 7/15 loss 0.2400 seg_src 0.0790 dom 0.0954 seg_tgt 0.0656 grl 0.97
+[02:42:21][     321s] epoch 8/15 loss 0.2201 seg_src 0.0687 dom 0.0927 seg_tgt 0.0587 grl 0.99
+[02:43:01][     360s] epoch 9/15 loss 0.2028 seg_src 0.0659 dom 0.0829 seg_tgt 0.0539 grl 0.99
+[02:43:45][     405s] epoch 10/15 loss 0.1830 seg_src 0.0654 dom 0.0635 seg_tgt 0.0542 grl 1.00 val_dice 0.7767 | TEST patch_dice 0.7936 image_dice 0.8708
+[02:44:24][     444s] epoch 11/15 loss 0.1655 seg_src 0.0613 dom 0.0528 seg_tgt 0.0514 grl 1.00
+[02:45:05][     485s] epoch 12/15 loss 0.1460 seg_src 0.0541 dom 0.0456 seg_tgt 0.0463 grl 1.00
+[02:45:44][     524s] epoch 13/15 loss 0.1288 seg_src 0.0509 dom 0.0359 seg_tgt 0.0420 grl 1.00
+[02:46:23][     562s] epoch 14/15 loss 0.1202 seg_src 0.0471 dom 0.0331 seg_tgt 0.0401 grl 1.00
+[02:47:08][     607s] epoch 15/15 loss 0.1057 seg_src 0.0411 dom 0.0294 seg_tgt 0.0352 grl 1.00 val_dice 0.7863 | TEST patch_dice 0.8386 image_dice 0.8605
+[02:47:09][     609s] DONE test patch_dice 0.8386 image_dice 0.8605 patch_vi 0.1119 | cyclegan 0.0 min, train 10.1 min

baselines/adapt/bayzid-system-2/runs/mitochondria/drosophila-vnc/mtda_e15_b100_s3/result.json

@@ -0,0 +1,249 @@
+{
+  "task": "mitochondria",
+  "target": "drosophila-vnc",
+  "variant": "mtda",
+  "budget": 100.0,
+  "seed": 3,
+  "epochs": 15,
+  "steps_per_epoch": 86,
+  "labeled_patches": 686,
+  "train_pool": 686,
+  "sources": [
+    "lucchi-pp"
+  ],
+  "args": {
+    "macs_repo": "/mnt/sdc1/connectomics/MACS-2",
+    "method": "mtda",
+    "source": "lucchi-pp",
+    "task": "mitochondria",
+    "target": "drosophila-vnc",
+    "budget": 100.0,
+    "seed": 3,
+    "epochs": 15,
+    "max_steps": 400,
+    "bs": 8,
+    "src_bs": 8,
+    "lr": 0.0001,
+    "gamma": 10.0,
+    "mu": 0.1,
+    "gan_iters": 1500,
+    "gan_bs": 4,
+    "ngf": 32,
+    "sem_weight": 1.0,
+    "ema": 0.99,
+    "cons_weight": 1.0,
+    "mask_ratio": 0.5,
+    "kd_weight": 0.1,
+    "num_workers": 8,
+    "val_every": 5,
+    "test_epochs": "10",
+    "models_dir": "/mnt/sdc1/connectomics/MACS-2/models",
+    "out_root": "/mnt/sdc1/connectomics/MACS-baselines/adapt/results-macs",
+    "no_amp": false
+  },
+  "gan_seconds": 0.0,
+  "train_seconds": 603.6563222408295,
+  "test": {
+    "patch_dice": 0.8385541321587848,
+    "patch_iou": 0.7642890266632558,
+    "patch_precision": 0.845955530772783,
+    "patch_recall": 0.8888810595847975,
+    "patch_vi": 0.11193675905986632,
+    "n_patches": 147,
+    "image_dice": 0.8605243961676864,
+    "image_iou": 0.7566043122398383,
+    "image_precision": 0.8173031446666233,
+    "image_recall": 0.9086858972160812,
+    "image_vi": 0.1476804090074488,
+    "n_images": 3,
+    "cal_ece": 0.020084045437915,
+    "cal_nll": 0.06858317912663901,
+    "cal_brier": 0.01384853487491398,
+    "cal_mean_confidence": 0.9698545625915788,
+    "cal_accuracy": 0.9830729166666666,
+    "cal_predicted_prevalence": 0.0645062712585034,
+    "cal_true_prevalence": 0.05939094387755102,
+    "cal_mean_probability": 0.0869202173643417,
+    "_infer_s": 3.0905144214630127
+  },
+  "tests_by_epoch": {
+    "10": {
+      "patch_dice": 0.7935999757739424,
+      "patch_iou": 0.7138199456462642,
+      "patch_precision": 0.9167325975172629,
+      "patch_recall": 0.7665278455219265,
+      "patch_vi": 0.10665919250350497,
+      "n_patches": 147,
+      "image_dice": 0.8708053757175431,
+      "image_iou": 0.772849666533303,
+      "image_precision": 0.9241906200533713,
+      "image_recall": 0.8240281452669098,
+      "image_vi": 0.12527799281366878,
+      "n_images": 3,
+      "cal_ece": 0.03235793131331662,
+      "cal_nll": 0.07580335525029004,
+      "cal_brier": 0.01349708154219909,
+      "cal_mean_confidence": 0.9529264565997709,
+      "cal_accuracy": 0.9843417835884354,
+      "cal_predicted_prevalence": 0.05155851403061224,
+      "cal_true_prevalence": 0.05939094387755102,
+      "cal_mean_probability": 0.08774168424838999,
+      "_infer_s": 2.84384822845459
+    },
+    "15": {
+      "patch_dice": 0.8385541321587848,
+      "patch_iou": 0.7642890266632558,
+      "patch_precision": 0.845955530772783,
+      "patch_recall": 0.8888810595847975,
+      "patch_vi": 0.11193675905986632,
+      "n_patches": 147,
+      "image_dice": 0.8605243961676864,
+      "image_iou": 0.7566043122398383,
+      "image_precision": 0.8173031446666233,
+      "image_recall": 0.9086858972160812,
+      "image_vi": 0.1476804090074488,
+      "n_images": 3,
+      "cal_ece": 0.020084045437915,
+      "cal_nll": 0.06858317912663901,
+      "cal_brier": 0.01384853487491398,
+      "cal_mean_confidence": 0.9698545625915788,
+      "cal_accuracy": 0.9830729166666666,
+      "cal_predicted_prevalence": 0.0645062712585034,
+      "cal_true_prevalence": 0.05939094387755102,
+      "cal_mean_probability": 0.0869202173643417,
+      "_infer_s": 3.0905144214630127
+    }
+  },
+  "history": [
+    {
+      "epoch": 1,
+      "loss": 0.6613856827796891,
+      "seg_src": 0.3110425413347954,
+      "dom": 0.17011969787241935,
+      "seg_tgt": 0.3458727560071058,
+      "grl": 0.05
+    },
+    {
+      "epoch": 2,
+      "loss": 0.4544859954784083,
+      "seg_src": 0.2080839118638704,
+      "dom": 0.30728731980157453,
+      "seg_tgt": 0.21106622576020484,
+      "grl": 0.3426949069654601
+    },
+    {
+      "epoch": 3,
+      "loss": 0.3807328624087711,
+      "seg_src": 0.16036444694496865,
+      "dom": 0.17404671117316844,
+      "seg_tgt": 0.15953041517803834,
+      "grl": 0.6133572603953825
+    },
+    {
+      "epoch": 4,
+      "loss": 0.3296749699254369,
+      "seg_src": 0.13221161699918813,
+      "dom": 0.10467280126934828,
+      "seg_tgt": 0.11719198923471362,
+      "grl": 0.7899988299594705
+    },
+    {
+      "epoch": 5,
+      "loss": 0.29473248054814893,
+      "seg_src": 0.1069329854014308,
+      "dom": 0.09804621624738671,
+      "seg_tgt": 0.09078678194173546,
+      "grl": 0.8913734677347187,
+      "val_dice": 0.6334976690669583
+    },
+    {
+      "epoch": 6,
+      "loss": 0.26487700675809106,
+      "seg_src": 0.09209287547787955,
+      "dom": 0.09723949709603953,
+      "seg_tgt": 0.07554463310123877,
+      "grl": 0.9453064264076343
+    },
+    {
+      "epoch": 7,
+      "loss": 0.24002916140611782,
+      "seg_src": 0.07903951233209566,
+      "dom": 0.09541059268075366,
+      "seg_tgt": 0.06557905730293241,
+      "grl": 0.9728461661125112
+    },
+    {
+      "epoch": 8,
+      "loss": 0.22014239222504373,
+      "seg_src": 0.06872120343668517,
+      "dom": 0.09269514723226081,
+      "seg_tgt": 0.05872604168604973,
+      "grl": 0.9866142981514305
+    },
+    {
+      "epoch": 9,
+      "loss": 0.20276968666287357,
+      "seg_src": 0.06590053001635296,
+      "dom": 0.08293189532881559,
+      "seg_tgt": 0.053937260884531706,
+      "grl": 0.9934246772281319
+    },
+    {
+      "epoch": 10,
+      "loss": 0.18303630466378012,
+      "seg_src": 0.06541170842599037,
+      "dom": 0.06345375986813112,
+      "seg_tgt": 0.05417083641297595,
+      "grl": 0.9967756945029476,
+      "val_dice": 0.7766642198580094,
+      "test_patch_dice": 0.7935999757739424,
+      "test_image_dice": 0.8708053757175431
+    },
+    {
+      "epoch": 11,
+      "loss": 0.16552307214154754,
+      "seg_src": 0.061303999838094377,
+      "dom": 0.052842471098830536,
+      "seg_tgt": 0.0513766017677479,
+      "grl": 0.9984202681165271
+    },
+    {
+      "epoch": 12,
+      "loss": 0.14595186589069145,
+      "seg_src": 0.05406517258217169,
+      "dom": 0.04560188933947058,
+      "seg_tgt": 0.04628480455383312,
+      "grl": 0.999226343498715
+    },
+    {
+      "epoch": 13,
+      "loss": 0.12884487376310105,
+      "seg_src": 0.050932776702697885,
+      "dom": 0.035884854535377306,
+      "seg_tgt": 0.04202724300151647,
+      "grl": 0.9996211881123498
+    },
+    {
+      "epoch": 14,
+      "loss": 0.12018943508697111,
+      "seg_src": 0.04705613076167051,
+      "dom": 0.03305525523285533,
+      "seg_tgt": 0.040078049005810606,
+      "grl": 0.9998145378686683
+    },
+    {
+      "epoch": 15,
+      "loss": 0.10574505018980004,
+      "seg_src": 0.04110267933804628,
+      "dom": 0.029423946428091027,
+      "seg_tgt": 0.03521842414210009,
+      "grl": 0.9999092042625952,
+      "val_dice": 0.786323247508519,
+      "test_patch_dice": 0.8385541321587848,
+      "test_image_dice": 0.8605243961676864
+    }
+  ],
+  "data_access": "sources: labeled train patches; target: unlabeled train pool + random upfront budget of train labels; val: logged only (no selection, final model); test: evaluation only",
+  "gpu": "NVIDIA GeForce RTX 3070",
+  "torch": "2.5.1+cu118"
+}

baselines/adapt/bayzid-system-2/runs/mitochondria/drosophila-vnc/mtda_e15_b10_s2/log.txt

@@ -0,0 +1,17 @@
+[16:35:35][       0s] START mtda target=drosophila-vnc task=mitochondria budget=10% (68/686 labeled) seed=2 epochs=15 x 86 steps | sources (1): lucchi-pp | val 147 test 147 | bs=8 src_bs=8 lr=0.0001 mu=0.1 gamma=10.0 amp=True gpu=NVIDIA GeForce RTX 3070
+[16:36:12][      38s] epoch 1/15 loss 0.5052 seg_src 0.2401 dom 0.2080 seg_tgt 0.2598 grl 0.05
+[16:36:48][      74s] epoch 2/15 loss 0.3178 seg_src 0.1484 dom 0.2908 seg_tgt 0.1370 grl 0.34
+[16:37:24][     109s] epoch 3/15 loss 0.2680 seg_src 0.1195 dom 0.1668 seg_tgt 0.0894 grl 0.61
+[16:38:00][     145s] epoch 4/15 loss 0.2427 seg_src 0.0893 dom 0.1164 seg_tgt 0.0638 grl 0.79
+[16:38:37][     182s] epoch 5/15 loss 0.2422 seg_src 0.0739 dom 0.1173 seg_tgt 0.0522 grl 0.89 val_dice 0.7586
+[16:39:13][     218s] epoch 6/15 loss 0.2302 seg_src 0.0696 dom 0.1083 seg_tgt 0.0522 grl 0.95
+[16:39:49][     254s] epoch 7/15 loss 0.1997 seg_src 0.0693 dom 0.0775 seg_tgt 0.0529 grl 0.97
+[16:40:25][     290s] epoch 8/15 loss 0.1769 seg_src 0.0663 dom 0.0624 seg_tgt 0.0482 grl 0.99
+[16:41:01][     326s] epoch 9/15 loss 0.1597 seg_src 0.0616 dom 0.0544 seg_tgt 0.0438 grl 0.99
+[16:41:39][     364s] epoch 10/15 loss 0.1392 seg_src 0.0518 dom 0.0487 seg_tgt 0.0387 grl 1.00 val_dice 0.6226 | TEST patch_dice 0.7114 image_dice 0.8042
+[16:42:15][     400s] epoch 11/15 loss 0.1269 seg_src 0.0480 dom 0.0433 seg_tgt 0.0356 grl 1.00
+[16:42:51][     437s] epoch 12/15 loss 0.1170 seg_src 0.0429 dom 0.0417 seg_tgt 0.0324 grl 1.00
+[16:43:27][     473s] epoch 13/15 loss 0.1049 seg_src 0.0407 dom 0.0352 seg_tgt 0.0290 grl 1.00
+[16:44:04][     509s] epoch 14/15 loss 0.0971 seg_src 0.0378 dom 0.0329 seg_tgt 0.0263 grl 1.00
+[16:44:42][     548s] epoch 15/15 loss 0.0902 seg_src 0.0350 dom 0.0305 seg_tgt 0.0246 grl 1.00 val_dice 0.7738 | TEST patch_dice 0.8248 image_dice 0.8845
+[16:44:43][     548s] DONE test patch_dice 0.8248 image_dice 0.8845 patch_vi 0.1143 | cyclegan 0.0 min, train 9.1 min

baselines/adapt/bayzid-system-2/runs/mitochondria/drosophila-vnc/mtda_e15_b10_s2/result.json

@@ -0,0 +1,249 @@
+{
+  "task": "mitochondria",
+  "target": "drosophila-vnc",
+  "variant": "mtda",
+  "budget": 10.0,
+  "seed": 2,
+  "epochs": 15,
+  "steps_per_epoch": 86,
+  "labeled_patches": 68,
+  "train_pool": 686,
+  "sources": [
+    "lucchi-pp"
+  ],
+  "args": {
+    "macs_repo": "/mnt/sdc1/connectomics/MACS-2",
+    "method": "mtda",
+    "source": "lucchi-pp",
+    "task": "mitochondria",
+    "target": "drosophila-vnc",
+    "budget": 10.0,
+    "seed": 2,
+    "epochs": 15,
+    "max_steps": 400,
+    "bs": 8,
+    "src_bs": 8,
+    "lr": 0.0001,
+    "gamma": 10.0,
+    "mu": 0.1,
+    "gan_iters": 1500,
+    "gan_bs": 4,
+    "ngf": 32,
+    "sem_weight": 1.0,
+    "ema": 0.99,
+    "cons_weight": 1.0,
+    "mask_ratio": 0.5,
+    "kd_weight": 0.1,
+    "num_workers": 8,
+    "val_every": 5,
+    "test_epochs": "10",
+    "models_dir": "/mnt/sdc1/connectomics/MACS-2/models",
+    "out_root": "/mnt/sdc1/connectomics/MACS-baselines/adapt/results-macs",
+    "no_amp": false
+  },
+  "gan_seconds": 0.0,
+  "train_seconds": 546.5179414749146,
+  "test": {
+    "patch_dice": 0.8247960937059434,
+    "patch_iou": 0.7440238028518703,
+    "patch_precision": 0.8341509031138837,
+    "patch_recall": 0.8721791873092067,
+    "patch_vi": 0.11428016333735301,
+    "n_patches": 147,
+    "image_dice": 0.8844981242485993,
+    "image_iou": 0.7934479949241461,
+    "image_precision": 0.8771288637592985,
+    "image_recall": 0.8928760166794651,
+    "image_vi": 0.12547122927634866,
+    "n_images": 3,
+    "cal_ece": 0.012892703825106672,
+    "cal_nll": 0.06440220015199408,
+    "cal_brier": 0.013504651786201345,
+    "cal_mean_confidence": 0.9748626740652597,
+    "cal_accuracy": 0.9840959821428571,
+    "cal_predicted_prevalence": 0.06114477040816327,
+    "cal_true_prevalence": 0.05939094387755102,
+    "cal_mean_probability": 0.07950813031016432,
+    "_infer_s": 1.1313889026641846
+  },
+  "tests_by_epoch": {
+    "10": {
+      "patch_dice": 0.7113935438482887,
+      "patch_iou": 0.6047024408665079,
+      "patch_precision": 0.6505777241416559,
+      "patch_recall": 0.9218441075238342,
+      "patch_vi": 0.17750225316909965,
+      "n_patches": 147,
+      "image_dice": 0.8041608670105669,
+      "image_iou": 0.6745523124191863,
+      "image_precision": 0.6991755365668819,
+      "image_recall": 0.9543441553409556,
+      "image_vi": 0.19800445439317374,
+      "n_images": 3,
+      "cal_ece": 0.027245171805665592,
+      "cal_nll": 0.10843665855388993,
+      "cal_brier": 0.02494516029478287,
+      "cal_mean_confidence": 0.9572742795135166,
+      "cal_accuracy": 0.9684909119897959,
+      "cal_predicted_prevalence": 0.08372528698979592,
+      "cal_true_prevalence": 0.05939094387755102,
+      "cal_mean_probability": 0.1111223810992609,
+      "_infer_s": 1.1400601863861084
+    },
+    "15": {
+      "patch_dice": 0.8247960937059434,
+      "patch_iou": 0.7440238028518703,
+      "patch_precision": 0.8341509031138837,
+      "patch_recall": 0.8721791873092067,
+      "patch_vi": 0.11428016333735301,
+      "n_patches": 147,
+      "image_dice": 0.8844981242485993,
+      "image_iou": 0.7934479949241461,
+      "image_precision": 0.8771288637592985,
+      "image_recall": 0.8928760166794651,
+      "image_vi": 0.12547122927634866,
+      "n_images": 3,
+      "cal_ece": 0.012892703825106672,
+      "cal_nll": 0.06440220015199408,
+      "cal_brier": 0.013504651786201345,
+      "cal_mean_confidence": 0.9748626740652597,
+      "cal_accuracy": 0.9840959821428571,
+      "cal_predicted_prevalence": 0.06114477040816327,
+      "cal_true_prevalence": 0.05939094387755102,
+      "cal_mean_probability": 0.07950813031016432,
+      "_infer_s": 1.1313889026641846
+    }
+  },
+  "history": [
+    {
+      "epoch": 1,
+      "loss": 0.5052359585845193,
+      "seg_src": 0.2401005844044131,
+      "dom": 0.2079639395016657,
+      "seg_tgt": 0.2598018694755643,
+      "grl": 0.05
+    },
+    {
+      "epoch": 2,
+      "loss": 0.3177542851068253,
+      "seg_src": 0.14839057425080343,
+      "dom": 0.2908308774579403,
+      "seg_tgt": 0.1369934146140897,
+      "grl": 0.3426949069654601
+    },
+    {
+      "epoch": 3,
+      "loss": 0.26802344914785653,
+      "seg_src": 0.1194874863465165,
+      "dom": 0.16684311021899068,
+      "seg_tgt": 0.08935562694488569,
+      "grl": 0.6133572603953825
+    },
+    {
+      "epoch": 4,
+      "loss": 0.24267136409532192,
+      "seg_src": 0.08929992441174596,
+      "dom": 0.11639520647220833,
+      "seg_tgt": 0.06380539954921534,
+      "grl": 0.7899988299594705
+    },
+    {
+      "epoch": 5,
+      "loss": 0.24223863177521285,
+      "seg_src": 0.07388273345003295,
+      "dom": 0.11733115759006767,
+      "seg_tgt": 0.05223818617158158,
+      "grl": 0.8913734677347187,
+      "val_dice": 0.7585522568404744
+    },
+    {
+      "epoch": 6,
+      "loss": 0.23017663595288299,
+      "seg_src": 0.06962148520315803,
+      "dom": 0.10834968163696833,
+      "seg_tgt": 0.052205468289727386,
+      "grl": 0.9453064264076343
+    },
+    {
+      "epoch": 7,
+      "loss": 0.19973635119061137,
+      "seg_src": 0.06934542312871578,
+      "dom": 0.07745545916259289,
+      "seg_tgt": 0.05293546850944674,
+      "grl": 0.9728461661125112
+    },
+    {
+      "epoch": 8,
+      "loss": 0.17692067803338515,
+      "seg_src": 0.06627929167345513,
+      "dom": 0.06241030440947344,
+      "seg_tgt": 0.048231081603917966,
+      "grl": 0.9866142981514305
+    },
+    {
+      "epoch": 9,
+      "loss": 0.15970634478469228,
+      "seg_src": 0.06158502950051496,
+      "dom": 0.05435850900099721,
+      "seg_tgt": 0.04376280654308408,
+      "grl": 0.9934246772281319
+    },
+    {
+      "epoch": 10,
+      "loss": 0.13919467712904132,
+      "seg_src": 0.05177906129595845,
+      "dom": 0.048688760633731995,
+      "seg_tgt": 0.03872685578413481,
+      "grl": 0.9967756945029476,
+      "val_dice": 0.6225614313806372,
+      "test_patch_dice": 0.7113935438482887,
+      "test_image_dice": 0.8041608670105669
+    },
+    {
+      "epoch": 11,
+      "loss": 0.12694347606495368,
+      "seg_src": 0.04800148706796557,
+      "dom": 0.043293458279655424,
+      "seg_tgt": 0.03564853110718866,
+      "grl": 0.9984202681165271
+    },
+    {
+      "epoch": 12,
+      "loss": 0.1170360287434833,
+      "seg_src": 0.04293615882133329,
+      "dom": 0.04169522479263156,
+      "seg_tgt": 0.03240464458805184,
+      "grl": 0.999226343498715
+    },
+    {
+      "epoch": 13,
+      "loss": 0.10487591899758161,
+      "seg_src": 0.040743383600614795,
+      "dom": 0.03515556773040877,
+      "seg_tgt": 0.02897696744997141,
+      "grl": 0.9996211881123498
+    },
+    {
+      "epoch": 14,
+      "loss": 0.09708040502182273,
+      "seg_src": 0.03784702770238699,
+      "dom": 0.0329006717778569,
+      "seg_tgt": 0.026332705649872157,
+      "grl": 0.9998145378686683
+    },
+    {
+      "epoch": 15,
+      "loss": 0.09017283694688664,
+      "seg_src": 0.035038786117247374,
+      "dom": 0.030488594911646013,
+      "seg_tgt": 0.024645456047945245,
+      "grl": 0.9999092042625952,
+      "val_dice": 0.7738303337712996,
+      "test_patch_dice": 0.8247960937059434,
+      "test_image_dice": 0.8844981242485993
+    }
+  ],
+  "data_access": "sources: labeled train patches; target: unlabeled train pool + random upfront budget of train labels; val: logged only (no selection, final model); test: evaluation only",
+  "gpu": "NVIDIA GeForce RTX 3070",
+  "torch": "2.5.1+cu118"
+}

baselines/adapt/bayzid-system-2/runs/mitochondria/fly-brain-mito-benchmark/mldb_e15_b0_s2/log.txt

@@ -0,0 +1,17 @@
+[14:31:07][       0s] START mldb target=fly-brain-mito-benchmark task=mitochondria budget=0% (0/180 labeled) seed=2 epochs=15 x 23 steps | sources (1): lucchi-pp | val 38 test 38 | bs=8 src_bs=8 lr=0.0001 mu=0.1 gamma=10.0 amp=True gpu=NVIDIA GeForce RTX 3070
+[14:31:18][      11s] epoch 1/15 loss 0.2647 seg_src 0.2576 dom 0.3074 seg_tgt 0.0000 grl 0.05
+[14:31:27][      21s] epoch 2/15 loss 0.1783 seg_src 0.1351 dom 0.3840 seg_tgt 0.0000 grl 0.34
+[14:31:37][      30s] epoch 3/15 loss 0.2239 seg_src 0.1194 dom 0.2915 seg_tgt 0.0000 grl 0.61
+[14:31:46][      40s] epoch 4/15 loss 0.2991 seg_src 0.1144 dom 0.2417 seg_tgt 0.0000 grl 0.79
+[14:31:56][      50s] epoch 5/15 loss 0.3069 seg_src 0.1075 dom 0.2020 seg_tgt 0.0000 grl 0.89 val_dice 0.1873
+[14:32:06][      59s] epoch 6/15 loss 0.2721 seg_src 0.0961 dom 0.1760 seg_tgt 0.0000 grl 0.95
+[14:32:15][      68s] epoch 7/15 loss 0.2578 seg_src 0.0946 dom 0.1633 seg_tgt 0.0000 grl 0.97
+[14:32:24][      78s] epoch 8/15 loss 0.2492 seg_src 0.0905 dom 0.1587 seg_tgt 0.0000 grl 0.99
+[14:32:34][      87s] epoch 9/15 loss 0.2334 seg_src 0.0780 dom 0.1554 seg_tgt 0.0000 grl 0.99
+[14:32:44][      97s] epoch 10/15 loss 0.2237 seg_src 0.0772 dom 0.1465 seg_tgt 0.0000 grl 1.00 val_dice 0.2167 | TEST patch_dice 0.2257 image_dice 0.2257
+[14:32:53][     106s] epoch 11/15 loss 0.2050 seg_src 0.0677 dom 0.1373 seg_tgt 0.0000 grl 1.00
+[14:33:02][     116s] epoch 12/15 loss 0.1976 seg_src 0.0629 dom 0.1348 seg_tgt 0.0000 grl 1.00
+[14:33:12][     125s] epoch 13/15 loss 0.1898 seg_src 0.0570 dom 0.1328 seg_tgt 0.0000 grl 1.00
+[14:33:21][     134s] epoch 14/15 loss 0.1805 seg_src 0.0569 dom 0.1236 seg_tgt 0.0000 grl 1.00
+[14:33:31][     145s] epoch 15/15 loss 0.1787 seg_src 0.0592 dom 0.1196 seg_tgt 0.0000 grl 1.00 val_dice 0.2147 | TEST patch_dice 0.2312 image_dice 0.2312
+[14:33:32][     145s] DONE test patch_dice 0.2312 image_dice 0.2312 patch_vi 1.0278 | cyclegan 0.0 min, train 2.4 min

baselines/adapt/bayzid-system-2/runs/mitochondria/fly-brain-mito-benchmark/mldb_e15_b0_s2/result.json

@@ -0,0 +1,249 @@
+{
+  "task": "mitochondria",
+  "target": "fly-brain-mito-benchmark",
+  "variant": "mldb",
+  "budget": 0.0,
+  "seed": 2,
+  "epochs": 15,
+  "steps_per_epoch": 23,
+  "labeled_patches": 0,
+  "train_pool": 180,
+  "sources": [
+    "lucchi-pp"
+  ],
+  "args": {
+    "macs_repo": "/mnt/sdc1/connectomics/MACS-2",
+    "method": "mldb",
+    "source": "lucchi-pp",
+    "task": "mitochondria",
+    "target": "fly-brain-mito-benchmark",
+    "budget": 0.0,
+    "seed": 2,
+    "epochs": 15,
+    "max_steps": 400,
+    "bs": 8,
+    "src_bs": 8,
+    "lr": 0.0001,
+    "gamma": 10.0,
+    "mu": 0.1,
+    "gan_iters": 1500,
+    "gan_bs": 4,
+    "ngf": 32,
+    "sem_weight": 1.0,
+    "ema": 0.99,
+    "cons_weight": 1.0,
+    "mask_ratio": 0.5,
+    "kd_weight": 0.1,
+    "num_workers": 8,
+    "val_every": 5,
+    "test_epochs": "10",
+    "models_dir": "/mnt/sdc1/connectomics/MACS-2/models",
+    "out_root": "/mnt/sdc1/connectomics/MACS-baselines/adapt/results-macs",
+    "no_amp": false
+  },
+  "gan_seconds": 0.0,
+  "train_seconds": 143.56901669502258,
+  "test": {
+    "patch_dice": 0.23122965674301224,
+    "patch_iou": 0.1323998711637641,
+    "patch_precision": 0.15050419787214891,
+    "patch_recall": 0.5346033348354217,
+    "patch_vi": 1.027777656145892,
+    "n_patches": 38,
+    "image_dice": 0.23122965674301224,
+    "image_iou": 0.1323998711637641,
+    "image_precision": 0.15050419787214891,
+    "image_recall": 0.5346033348354217,
+    "image_vi": 1.027777656145892,
+    "n_images": 38,
+    "cal_ece": 0.3816978859302637,
+    "cal_nll": 0.9805898597947431,
+    "cal_brier": 0.33674927334117966,
+    "cal_mean_confidence": 0.5956042380551145,
+    "cal_accuracy": 0.6078587582236842,
+    "cal_predicted_prevalence": 0.3970497532894737,
+    "cal_true_prevalence": 0.11798416940789473,
+    "cal_mean_probability": 0.5774928290071139,
+    "_infer_s": 0.5189352035522461
+  },
+  "tests_by_epoch": {
+    "10": {
+      "patch_dice": 0.2257016650137171,
+      "patch_iou": 0.12841734548009098,
+      "patch_precision": 0.13756543313168854,
+      "patch_recall": 0.6774079399940802,
+      "patch_vi": 1.0294310718318012,
+      "n_patches": 38,
+      "image_dice": 0.2257016650137171,
+      "image_iou": 0.12841734548009098,
+      "image_precision": 0.13756543313168854,
+      "image_recall": 0.6774079399940802,
+      "image_vi": 1.0294310718318012,
+      "n_images": 38,
+      "cal_ece": 0.37105467498340183,
+      "cal_nll": 1.0466465118440293,
+      "cal_brier": 0.3670302028935033,
+      "cal_mean_confidence": 0.6233374698868877,
+      "cal_accuracy": 0.49115953947368424,
+      "cal_predicted_prevalence": 0.5438168174342105,
+      "cal_true_prevalence": 0.11798416940789473,
+      "cal_mean_probability": 0.6056703239271787,
+      "_infer_s": 0.5328426361083984
+    },
+    "15": {
+      "patch_dice": 0.23122965674301224,
+      "patch_iou": 0.1323998711637641,
+      "patch_precision": 0.15050419787214891,
+      "patch_recall": 0.5346033348354217,
+      "patch_vi": 1.027777656145892,
+      "n_patches": 38,
+      "image_dice": 0.23122965674301224,
+      "image_iou": 0.1323998711637641,
+      "image_precision": 0.15050419787214891,
+      "image_recall": 0.5346033348354217,
+      "image_vi": 1.027777656145892,
+      "n_images": 38,
+      "cal_ece": 0.3816978859302637,
+      "cal_nll": 0.9805898597947431,
+      "cal_brier": 0.33674927334117966,
+      "cal_mean_confidence": 0.5956042380551145,
+      "cal_accuracy": 0.6078587582236842,
+      "cal_predicted_prevalence": 0.3970497532894737,
+      "cal_true_prevalence": 0.11798416940789473,
+      "cal_mean_probability": 0.5774928290071139,
+      "_infer_s": 0.5189352035522461
+    }
+  },
+  "history": [
+    {
+      "epoch": 1,
+      "loss": 0.264670729637146,
+      "seg_src": 0.25759214940278424,
+      "dom": 0.30738710579664813,
+      "seg_tgt": 0.0,
+      "grl": 0.05
+    },
+    {
+      "epoch": 2,
+      "loss": 0.1782800017491631,
+      "seg_src": 0.13512425092251404,
+      "dom": 0.3840262021707452,
+      "seg_tgt": 0.0,
+      "grl": 0.3426949069654601
+    },
+    {
+      "epoch": 3,
+      "loss": 0.22392816452876382,
+      "seg_src": 0.11939698878837668,
+      "dom": 0.2914864252442899,
+      "seg_tgt": 0.0,
+      "grl": 0.6133572603953825
+    },
+    {
+      "epoch": 4,
+      "loss": 0.2991189276394637,
+      "seg_src": 0.11437634573034618,
+      "dom": 0.2416936897713205,
+      "seg_tgt": 0.0,
+      "grl": 0.7899988299594705
+    },
+    {
+      "epoch": 5,
+      "loss": 0.30691978205805237,
+      "seg_src": 0.10754196734532066,
+      "dom": 0.20195394624834476,
+      "seg_tgt": 0.0,
+      "grl": 0.8913734677347187,
+      "val_dice": 0.18731940047092988
+    },
+    {
+      "epoch": 6,
+      "loss": 0.2721419612998548,
+      "seg_src": 0.09613739828700604,
+      "dom": 0.1760045594495276,
+      "seg_tgt": 0.0,
+      "grl": 0.9453064264076343
+    },
+    {
+      "epoch": 7,
+      "loss": 0.2578344552413277,
+      "seg_src": 0.09456617028816887,
+      "dom": 0.1632682856010354,
+      "seg_tgt": 0.0,
+      "grl": 0.9728461661125112
+    },
+    {
+      "epoch": 8,
+      "loss": 0.24921699451363605,
+      "seg_src": 0.09050327150718025,
+      "dom": 0.15871372106282608,
+      "seg_tgt": 0.0,
+      "grl": 0.9866142981514305
+    },
+    {
+      "epoch": 9,
+      "loss": 0.233382320922354,
+      "seg_src": 0.07795701597047888,
+      "dom": 0.15542530559975168,
+      "seg_tgt": 0.0,
+      "grl": 0.9934246772281319
+    },
+    {
+      "epoch": 10,
+      "loss": 0.2236997083477352,
+      "seg_src": 0.07716319548047107,
+      "dom": 0.14653651221938754,
+      "seg_tgt": 0.0,
+      "grl": 0.9967756945029476,
+      "val_dice": 0.21666919181992306,
+      "test_patch_dice": 0.2257016650137171,
+      "test_image_dice": 0.2257016650137171
+    },
+    {
+      "epoch": 11,
+      "loss": 0.20500171378902768,
+      "seg_src": 0.06768346351125966,
+      "dom": 0.1373182499538297,
+      "seg_tgt": 0.0,
+      "grl": 0.9984202681165271
+    },
+    {
+      "epoch": 12,
+      "loss": 0.19763988321242126,
+      "seg_src": 0.06287725383172864,
+      "dom": 0.13476262889478519,
+      "seg_tgt": 0.0,
+      "grl": 0.999226343498715
+    },
+    {
+      "epoch": 13,
+      "loss": 0.18982306900231735,
+      "seg_src": 0.05698777994383936,
+      "dom": 0.1328352884106014,
+      "seg_tgt": 0.0,
+      "grl": 0.9996211881123498
+    },
+    {
+      "epoch": 14,
+      "loss": 0.18050462849762128,
+      "seg_src": 0.056918763272140335,
+      "dom": 0.12358586425366609,
+      "seg_tgt": 0.0,
+      "grl": 0.9998145378686683
+    },
+    {
+      "epoch": 15,
+      "loss": 0.17874392154424087,
+      "seg_src": 0.059176455211380256,
+      "dom": 0.11956746584695319,
+      "seg_tgt": 0.0,
+      "grl": 0.9999092042625952,
+      "val_dice": 0.21467241046717497,
+      "test_patch_dice": 0.23122965674301224,
+      "test_image_dice": 0.23122965674301224
+    }
+  ],
+  "data_access": "sources: labeled train patches; target: unlabeled train pool + random upfront budget of train labels; val: logged only (no selection, final model); test: evaluation only",
+  "gpu": "NVIDIA GeForce RTX 3070",
+  "torch": "2.5.1+cu118"
+}

baselines/adapt/bayzid-system-2/runs/mitochondria/fly-brain-mito-benchmark/mldb_e15_b0_s3/log.txt

@@ -0,0 +1,17 @@
+[03:59:15][       0s] START mldb target=fly-brain-mito-benchmark task=mitochondria budget=0% (0/180 labeled) seed=3 epochs=15 x 23 steps | sources (1): lucchi-pp | val 38 test 38 | bs=8 src_bs=8 lr=0.0001 mu=0.1 gamma=10.0 amp=True gpu=NVIDIA GeForce RTX 3070
+[03:59:35][      20s] epoch 1/15 loss 0.3443 seg_src 0.3409 dom 0.1526 seg_tgt 0.0000 grl 0.05
+[03:59:45][      30s] epoch 2/15 loss 0.1793 seg_src 0.1548 dom 0.2092 seg_tgt 0.0000 grl 0.34
+[03:59:56][      41s] epoch 3/15 loss 0.2565 seg_src 0.1541 dom 0.2720 seg_tgt 0.0000 grl 0.61
+[04:00:06][      51s] epoch 4/15 loss 0.3413 seg_src 0.1321 dom 0.2750 seg_tgt 0.0000 grl 0.79
+[04:00:18][      63s] epoch 5/15 loss 0.3798 seg_src 0.1332 dom 0.2495 seg_tgt 0.0000 grl 0.89 val_dice 0.1814
+[04:00:29][      74s] epoch 6/15 loss 0.3626 seg_src 0.1239 dom 0.2388 seg_tgt 0.0000 grl 0.95
+[04:00:39][      84s] epoch 7/15 loss 0.3173 seg_src 0.1118 dom 0.2055 seg_tgt 0.0000 grl 0.97
+[04:00:50][      95s] epoch 8/15 loss 0.3034 seg_src 0.1088 dom 0.1945 seg_tgt 0.0000 grl 0.99
+[04:01:00][     105s] epoch 9/15 loss 0.2878 seg_src 0.0996 dom 0.1882 seg_tgt 0.0000 grl 0.99
+[04:01:17][     122s] epoch 10/15 loss 0.2660 seg_src 0.0948 dom 0.1712 seg_tgt 0.0000 grl 1.00 val_dice 0.1819 | TEST patch_dice 0.2133 image_dice 0.2133
+[04:01:28][     133s] epoch 11/15 loss 0.2544 seg_src 0.0809 dom 0.1734 seg_tgt 0.0000 grl 1.00
+[04:01:38][     143s] epoch 12/15 loss 0.2525 seg_src 0.0937 dom 0.1588 seg_tgt 0.0000 grl 1.00
+[04:01:49][     154s] epoch 13/15 loss 0.2344 seg_src 0.0810 dom 0.1534 seg_tgt 0.0000 grl 1.00
+[04:02:00][     165s] epoch 14/15 loss 0.2266 seg_src 0.0744 dom 0.1521 seg_tgt 0.0000 grl 1.00
+[04:02:15][     180s] epoch 15/15 loss 0.2099 seg_src 0.0690 dom 0.1408 seg_tgt 0.0000 grl 1.00 val_dice 0.1734 | TEST patch_dice 0.2134 image_dice 0.2134
+[04:02:16][     181s] DONE test patch_dice 0.2134 image_dice 0.2134 patch_vi 0.4445 | cyclegan 0.0 min, train 2.9 min

baselines/adapt/bayzid-system-2/runs/mitochondria/fly-brain-mito-benchmark/mldb_e15_b0_s3/result.json

@@ -0,0 +1,249 @@
+{
+  "task": "mitochondria",
+  "target": "fly-brain-mito-benchmark",
+  "variant": "mldb",
+  "budget": 0.0,
+  "seed": 3,
+  "epochs": 15,
+  "steps_per_epoch": 23,
+  "labeled_patches": 0,
+  "train_pool": 180,
+  "sources": [
+    "lucchi-pp"
+  ],
+  "args": {
+    "macs_repo": "/mnt/sdc1/connectomics/MACS-2",
+    "method": "mldb",
+    "source": "lucchi-pp",
+    "task": "mitochondria",
+    "target": "fly-brain-mito-benchmark",
+    "budget": 0.0,
+    "seed": 3,
+    "epochs": 15,
+    "max_steps": 400,
+    "bs": 8,
+    "src_bs": 8,
+    "lr": 0.0001,
+    "gamma": 10.0,
+    "mu": 0.1,
+    "gan_iters": 1500,
+    "gan_bs": 4,
+    "ngf": 32,
+    "sem_weight": 1.0,
+    "ema": 0.99,
+    "cons_weight": 1.0,
+    "mask_ratio": 0.5,
+    "kd_weight": 0.1,
+    "num_workers": 8,
+    "val_every": 5,
+    "test_epochs": "10",
+    "models_dir": "/mnt/sdc1/connectomics/MACS-2/models",
+    "out_root": "/mnt/sdc1/connectomics/MACS-baselines/adapt/results-macs",
+    "no_amp": false
+  },
+  "gan_seconds": 0.0,
+  "train_seconds": 176.09977388381958,
+  "test": {
+    "patch_dice": 0.2133646607948967,
+    "patch_iou": 0.12049422416470658,
+    "patch_precision": 0.12065880537401372,
+    "patch_recall": 0.9910028332862144,
+    "patch_vi": 0.44446397311703584,
+    "n_patches": 38,
+    "image_dice": 0.2133646607948967,
+    "image_iou": 0.12049422416470658,
+    "image_precision": 0.12065880537401372,
+    "image_recall": 0.9910028332862144,
+    "image_vi": 0.44446397311703584,
+    "n_images": 38,
+    "cal_ece": 0.4462229655789423,
+    "cal_nll": 0.8879045795146481,
+    "cal_brier": 0.31490771933426065,
+    "cal_mean_confidence": 0.5844322583421002,
+    "cal_accuracy": 0.13820929276315788,
+    "cal_predicted_prevalence": 0.9776675575657895,
+    "cal_true_prevalence": 0.11798416940789473,
+    "cal_mean_probability": 0.5776845563567278,
+    "_infer_s": 2.5028207302093506
+  },
+  "tests_by_epoch": {
+    "10": {
+      "patch_dice": 0.21331857635839335,
+      "patch_iou": 0.12034525470117446,
+      "patch_precision": 0.12109403044521765,
+      "patch_recall": 0.9599155589914633,
+      "patch_vi": 0.5643111999574671,
+      "n_patches": 38,
+      "image_dice": 0.21331857635839335,
+      "image_iou": 0.12034525470117446,
+      "image_precision": 0.12109403044521765,
+      "image_recall": 0.9599155589914633,
+      "image_vi": 0.5643111999574671,
+      "n_images": 38,
+      "cal_ece": 0.4139176115941631,
+      "cal_nll": 0.869966113136008,
+      "cal_brier": 0.3151528307833462,
+      "cal_mean_confidence": 0.5858183106073213,
+      "cal_accuracy": 0.17190069901315788,
+      "cal_predicted_prevalence": 0.9357524671052632,
+      "cal_true_prevalence": 0.11798416940789473,
+      "cal_mean_probability": 0.5704646230329481,
+      "_infer_s": 3.0554113388061523
+    },
+    "15": {
+      "patch_dice": 0.2133646607948967,
+      "patch_iou": 0.12049422416470658,
+      "patch_precision": 0.12065880537401372,
+      "patch_recall": 0.9910028332862144,
+      "patch_vi": 0.44446397311703584,
+      "n_patches": 38,
+      "image_dice": 0.2133646607948967,
+      "image_iou": 0.12049422416470658,
+      "image_precision": 0.12065880537401372,
+      "image_recall": 0.9910028332862144,
+      "image_vi": 0.44446397311703584,
+      "n_images": 38,
+      "cal_ece": 0.4462229655789423,
+      "cal_nll": 0.8879045795146481,
+      "cal_brier": 0.31490771933426065,
+      "cal_mean_confidence": 0.5844322583421002,
+      "cal_accuracy": 0.13820929276315788,
+      "cal_predicted_prevalence": 0.9776675575657895,
+      "cal_true_prevalence": 0.11798416940789473,
+      "cal_mean_probability": 0.5776845563567278,
+      "_infer_s": 2.5028207302093506
+    }
+  },
+  "history": [
+    {
+      "epoch": 1,
+      "loss": 0.3442653670259144,
+      "seg_src": 0.34088406225909357,
+      "dom": 0.15264731904734735,
+      "seg_tgt": 0.0,
+      "grl": 0.05
+    },
+    {
+      "epoch": 2,
+      "loss": 0.17929506949756457,
+      "seg_src": 0.15478332275929657,
+      "dom": 0.2091720259707907,
+      "seg_tgt": 0.0,
+      "grl": 0.3426949069654601
+    },
+    {
+      "epoch": 3,
+      "loss": 0.25648458366808685,
+      "seg_src": 0.15405875606381375,
+      "dom": 0.271969326812288,
+      "seg_tgt": 0.0,
+      "grl": 0.6133572603953825
+    },
+    {
+      "epoch": 4,
+      "loss": 0.3412963411082392,
+      "seg_src": 0.1321225214911544,
+      "dom": 0.2750278581743655,
+      "seg_tgt": 0.0,
+      "grl": 0.7899988299594705
+    },
+    {
+      "epoch": 5,
+      "loss": 0.37982790496038354,
+      "seg_src": 0.13318730858357056,
+      "dom": 0.24951632968757465,
+      "seg_tgt": 0.0,
+      "grl": 0.8913734677347187,
+      "val_dice": 0.1814148360149812
+    },
+    {
+      "epoch": 6,
+      "loss": 0.3626319390276204,
+      "seg_src": 0.12388156937516254,
+      "dom": 0.23875036576519842,
+      "seg_tgt": 0.0,
+      "grl": 0.9453064264076343
+    },
+    {
+      "epoch": 7,
+      "loss": 0.3172617127066073,
+      "seg_src": 0.1117751507655434,
+      "dom": 0.20548656388469363,
+      "seg_tgt": 0.0,
+      "grl": 0.9728461661125112
+    },
+    {
+      "epoch": 8,
+      "loss": 0.30335975470750226,
+      "seg_src": 0.10882621420466382,
+      "dom": 0.19453354115071503,
+      "seg_tgt": 0.0,
+      "grl": 0.9866142981514305
+    },
+    {
+      "epoch": 9,
+      "loss": 0.28779687959214917,
+      "seg_src": 0.09955635310515114,
+      "dom": 0.1882405268109363,
+      "seg_tgt": 0.0,
+      "grl": 0.9934246772281319
+    },
+    {
+      "epoch": 10,
+      "loss": 0.2659915458896886,
+      "seg_src": 0.09476871173018994,
+      "dom": 0.17122283318768378,
+      "seg_tgt": 0.0,
+      "grl": 0.9967756945029476,
+      "val_dice": 0.18191803270513898,
+      "test_patch_dice": 0.21331857635839335,
+      "test_image_dice": 0.21331857635839335
+    },
+    {
+      "epoch": 11,
+      "loss": 0.2543584548908731,
+      "seg_src": 0.08093338330154834,
+      "dom": 0.1734250732090162,
+      "seg_tgt": 0.0,
+      "grl": 0.9984202681165271
+    },
+    {
+      "epoch": 12,
+      "loss": 0.2524927537078443,
+      "seg_src": 0.09365164164615714,
+      "dom": 0.15884111238562543,
+      "seg_tgt": 0.0,
+      "grl": 0.999226343498715
+    },
+    {
+      "epoch": 13,
+      "loss": 0.23443005590335184,
+      "seg_src": 0.08103639308525168,
+      "dom": 0.15339366508566815,
+      "seg_tgt": 0.0,
+      "grl": 0.9996211881123498
+    },
+    {
+      "epoch": 14,
+      "loss": 0.2265858714995177,
+      "seg_src": 0.07443823665380478,
+      "dom": 0.15214763387389804,
+      "seg_tgt": 0.0,
+      "grl": 0.9998145378686683
+    },
+    {
+      "epoch": 15,
+      "loss": 0.209865087400312,
+      "seg_src": 0.06904693887285564,
+      "dom": 0.14081814885139465,
+      "seg_tgt": 0.0,
+      "grl": 0.9999092042625952,
+      "val_dice": 0.17342696681126996,
+      "test_patch_dice": 0.2133646607948967,
+      "test_image_dice": 0.2133646607948967
+    }
+  ],
+  "data_access": "sources: labeled train patches; target: unlabeled train pool + random upfront budget of train labels; val: logged only (no selection, final model); test: evaluation only",
+  "gpu": "NVIDIA GeForce RTX 3070",
+  "torch": "2.5.1+cu118"
+}

baselines/adapt/bayzid-system-2/runs/mitochondria/fly-brain-mito-benchmark/mtda_e15_b0_s2/log.txt

@@ -0,0 +1,17 @@
+[14:29:20][       0s] START mtda target=fly-brain-mito-benchmark task=mitochondria budget=0% (0/180 labeled) seed=2 epochs=15 x 23 steps | sources (1): lucchi-pp | val 38 test 38 | bs=8 src_bs=8 lr=0.0001 mu=0.1 gamma=10.0 amp=True gpu=NVIDIA GeForce RTX 3070
+[14:29:28][       9s] epoch 1/15 loss 0.3022 seg_src 0.3001 dom 0.0767 seg_tgt 0.0000 grl 0.05
+[14:29:35][      15s] epoch 2/15 loss 0.1632 seg_src 0.1465 dom 0.1436 seg_tgt 0.0000 grl 0.34
+[14:29:41][      22s] epoch 3/15 loss 0.1732 seg_src 0.1273 dom 0.1248 seg_tgt 0.0000 grl 0.61
+[14:29:48][      28s] epoch 4/15 loss 0.1751 seg_src 0.1116 dom 0.0844 seg_tgt 0.0000 grl 0.79
+[14:29:55][      36s] epoch 5/15 loss 0.1663 seg_src 0.0948 dom 0.0723 seg_tgt 0.0000 grl 0.89 val_dice 0.0446
+[14:30:02][      42s] epoch 6/15 loss 0.1666 seg_src 0.0905 dom 0.0760 seg_tgt 0.0000 grl 0.95
+[14:30:08][      49s] epoch 7/15 loss 0.1640 seg_src 0.0907 dom 0.0733 seg_tgt 0.0000 grl 0.97
+[14:30:15][      56s] epoch 8/15 loss 0.1588 seg_src 0.0876 dom 0.0711 seg_tgt 0.0000 grl 0.99
+[14:30:22][      62s] epoch 9/15 loss 0.1523 seg_src 0.0868 dom 0.0654 seg_tgt 0.0000 grl 0.99
+[14:30:29][      70s] epoch 10/15 loss 0.1411 seg_src 0.0845 dom 0.0567 seg_tgt 0.0000 grl 1.00 val_dice 0.0574 | TEST patch_dice 0.0127 image_dice 0.0127
+[14:30:36][      77s] epoch 11/15 loss 0.1304 seg_src 0.0779 dom 0.0525 seg_tgt 0.0000 grl 1.00
+[14:30:43][      83s] epoch 12/15 loss 0.1218 seg_src 0.0760 dom 0.0458 seg_tgt 0.0000 grl 1.00
+[14:30:49][      90s] epoch 13/15 loss 0.1131 seg_src 0.0709 dom 0.0422 seg_tgt 0.0000 grl 1.00
+[14:30:56][      97s] epoch 14/15 loss 0.1085 seg_src 0.0694 dom 0.0391 seg_tgt 0.0000 grl 1.00
+[14:31:04][     104s] epoch 15/15 loss 0.1068 seg_src 0.0701 dom 0.0367 seg_tgt 0.0000 grl 1.00 val_dice 0.1987 | TEST patch_dice 0.2846 image_dice 0.2846
+[14:31:04][     105s] DONE test patch_dice 0.2846 image_dice 0.2846 patch_vi 0.9269 | cyclegan 0.0 min, train 1.7 min

baselines/adapt/bayzid-system-2/runs/mitochondria/fly-brain-mito-benchmark/mtda_e15_b0_s2/result.json

@@ -0,0 +1,249 @@
+{
+  "task": "mitochondria",
+  "target": "fly-brain-mito-benchmark",
+  "variant": "mtda",
+  "budget": 0.0,
+  "seed": 2,
+  "epochs": 15,
+  "steps_per_epoch": 23,
+  "labeled_patches": 0,
+  "train_pool": 180,
+  "sources": [
+    "lucchi-pp"
+  ],
+  "args": {
+    "macs_repo": "/mnt/sdc1/connectomics/MACS-2",
+    "method": "mtda",
+    "source": "lucchi-pp",
+    "task": "mitochondria",
+    "target": "fly-brain-mito-benchmark",
+    "budget": 0.0,
+    "seed": 2,
+    "epochs": 15,
+    "max_steps": 400,
+    "bs": 8,
+    "src_bs": 8,
+    "lr": 0.0001,
+    "gamma": 10.0,
+    "mu": 0.1,
+    "gan_iters": 1500,
+    "gan_bs": 4,
+    "ngf": 32,
+    "sem_weight": 1.0,
+    "ema": 0.99,
+    "cons_weight": 1.0,
+    "mask_ratio": 0.5,
+    "kd_weight": 0.1,
+    "num_workers": 8,
+    "val_every": 5,
+    "test_epochs": "10",
+    "models_dir": "/mnt/sdc1/connectomics/MACS-2/models",
+    "out_root": "/mnt/sdc1/connectomics/MACS-baselines/adapt/results-macs",
+    "no_amp": false
+  },
+  "gan_seconds": 0.0,
+  "train_seconds": 103.29136300086975,
+  "test": {
+    "patch_dice": 0.2846259044190867,
+    "patch_iou": 0.16720493481205234,
+    "patch_precision": 0.20202051430458304,
+    "patch_recall": 0.4981603395778543,
+    "patch_vi": 0.9269438299236332,
+    "n_patches": 38,
+    "image_dice": 0.2846259044190867,
+    "image_iou": 0.16720493481205234,
+    "image_precision": 0.20202051430458304,
+    "image_recall": 0.4981603395778543,
+    "image_vi": 0.9269438299236332,
+    "n_images": 38,
+    "cal_ece": 0.27372529355192177,
+    "cal_nll": 0.6756055369170257,
+    "cal_brier": 0.24137430129359522,
+    "cal_mean_confidence": 0.5768832368941826,
+    "cal_accuracy": 0.71533203125,
+    "cal_predicted_prevalence": 0.2818153782894737,
+    "cal_true_prevalence": 0.11798416940789473,
+    "cal_mean_probability": 0.4902666452432497,
+    "_infer_s": 0.5180752277374268
+  },
+  "tests_by_epoch": {
+    "10": {
+      "patch_dice": 0.012748618726178332,
+      "patch_iou": 0.006394805495003872,
+      "patch_precision": 0.0141037704307234,
+      "patch_recall": 0.01218798712145772,
+      "patch_vi": 0.6536630327834193,
+      "n_patches": 38,
+      "image_dice": 0.012748618726178332,
+      "image_iou": 0.006394805495003872,
+      "image_precision": 0.0141037704307234,
+      "image_recall": 0.01218798712145772,
+      "image_vi": 0.6536630327834193,
+      "n_images": 38,
+      "cal_ece": 0.1962444432310325,
+      "cal_nll": 0.5953349687127584,
+      "cal_brier": 0.1991472527928191,
+      "cal_mean_confidence": 0.6704375992186741,
+      "cal_accuracy": 0.7967208059210527,
+      "cal_predicted_prevalence": 0.08709395559210527,
+      "cal_true_prevalence": 0.11798416940789473,
+      "cal_mean_probability": 0.3372534495011726,
+      "_infer_s": 0.5258336067199707
+    },
+    "15": {
+      "patch_dice": 0.2846259044190867,
+      "patch_iou": 0.16720493481205234,
+      "patch_precision": 0.20202051430458304,
+      "patch_recall": 0.4981603395778543,
+      "patch_vi": 0.9269438299236332,
+      "n_patches": 38,
+      "image_dice": 0.2846259044190867,
+      "image_iou": 0.16720493481205234,
+      "image_precision": 0.20202051430458304,
+      "image_recall": 0.4981603395778543,
+      "image_vi": 0.9269438299236332,
+      "n_images": 38,
+      "cal_ece": 0.27372529355192177,
+      "cal_nll": 0.6756055369170257,
+      "cal_brier": 0.24137430129359522,
+      "cal_mean_confidence": 0.5768832368941826,
+      "cal_accuracy": 0.71533203125,
+      "cal_predicted_prevalence": 0.2818153782894737,
+      "cal_true_prevalence": 0.11798416940789473,
+      "cal_mean_probability": 0.4902666452432497,
+      "_infer_s": 0.5180752277374268
+    }
+  },
+  "history": [
+    {
+      "epoch": 1,
+      "loss": 0.30217587105605914,
+      "seg_src": 0.3000879663488139,
+      "dom": 0.0767397613507574,
+      "seg_tgt": 0.0,
+      "grl": 0.05
+    },
+    {
+      "epoch": 2,
+      "loss": 0.16319770139196646,
+      "seg_src": 0.14650704484918844,
+      "dom": 0.14361025393009186,
+      "seg_tgt": 0.0,
+      "grl": 0.3426949069654601
+    },
+    {
+      "epoch": 3,
+      "loss": 0.17319299669369406,
+      "seg_src": 0.12726340021776117,
+      "dom": 0.12477699051732602,
+      "seg_tgt": 0.0,
+      "grl": 0.6133572603953825
+    },
+    {
+      "epoch": 4,
+      "loss": 0.1751422564620557,
+      "seg_src": 0.1115961580172829,
+      "dom": 0.08437642941008443,
+      "seg_tgt": 0.0,
+      "grl": 0.7899988299594705
+    },
+    {
+      "epoch": 5,
+      "loss": 0.1663398872251096,
+      "seg_src": 0.0948028859236966,
+      "dom": 0.07232543210620465,
+      "seg_tgt": 0.0,
+      "grl": 0.8913734677347187,
+      "val_dice": 0.04458081995001061
+    },
+    {
+      "epoch": 6,
+      "loss": 0.16656722387541895,
+      "seg_src": 0.0905242866795996,
+      "dom": 0.07604293654794278,
+      "seg_tgt": 0.0,
+      "grl": 0.9453064264076343
+    },
+    {
+      "epoch": 7,
+      "loss": 0.16395499589650528,
+      "seg_src": 0.09069195227778476,
+      "dom": 0.07326304378068965,
+      "seg_tgt": 0.0,
+      "grl": 0.9728461661125112
+    },
+    {
+      "epoch": 8,
+      "loss": 0.15876087481560913,
+      "seg_src": 0.08764157217481862,
+      "dom": 0.07111930134503738,
+      "seg_tgt": 0.0,
+      "grl": 0.9866142981514305
+    },
+    {
+      "epoch": 9,
+      "loss": 0.15229172356750653,
+      "seg_src": 0.0868493866013444,
+      "dom": 0.06544233809994615,
+      "seg_tgt": 0.0,
+      "grl": 0.9934246772281319
+    },
+    {
+      "epoch": 10,
+      "loss": 0.14114863587462384,
+      "seg_src": 0.08446617165337438,
+      "dom": 0.056682463735342026,
+      "seg_tgt": 0.0,
+      "grl": 0.9967756945029476,
+      "val_dice": 0.057408119588759056,
+      "test_patch_dice": 0.012748618726178332,
+      "test_image_dice": 0.012748618726178332
+    },
+    {
+      "epoch": 11,
+      "loss": 0.13040188278840936,
+      "seg_src": 0.07791038213864616,
+      "dom": 0.05249149838219518,
+      "seg_tgt": 0.0,
+      "grl": 0.9984202681165271
+    },
+    {
+      "epoch": 12,
+      "loss": 0.12184507561766583,
+      "seg_src": 0.07603050574012425,
+      "dom": 0.04581457020147987,
+      "seg_tgt": 0.0,
+      "grl": 0.999226343498715
+    },
+    {
+      "epoch": 13,
+      "loss": 0.11309354525545369,
+      "seg_src": 0.0709077748267547,
+      "dom": 0.04218577075263728,
+      "seg_tgt": 0.0,
+      "grl": 0.9996211881123498
+    },
+    {
+      "epoch": 14,
+      "loss": 0.10854111352692479,
+      "seg_src": 0.06944128660404164,
+      "dom": 0.03909982659894487,
+      "seg_tgt": 0.0,
+      "grl": 0.9998145378686683
+    },
+    {
+      "epoch": 15,
+      "loss": 0.10681914635326552,
+      "seg_src": 0.07012463960310687,
+      "dom": 0.03669450756000436,
+      "seg_tgt": 0.0,
+      "grl": 0.9999092042625952,
+      "val_dice": 0.1987236275665696,
+      "test_patch_dice": 0.2846259044190867,
+      "test_image_dice": 0.2846259044190867
+    }
+  ],
+  "data_access": "sources: labeled train patches; target: unlabeled train pool + random upfront budget of train labels; val: logged only (no selection, final model); test: evaluation only",
+  "gpu": "NVIDIA GeForce RTX 3070",
+  "torch": "2.5.1+cu118"
+}

baselines/adapt/bayzid-system-2/runs/mitochondria/fly-brain-mito-benchmark/mtda_e15_b100_s2/log.txt

@@ -0,0 +1,17 @@
+[14:26:48][       1s] START mtda target=fly-brain-mito-benchmark task=mitochondria budget=100% (180/180 labeled) seed=2 epochs=15 x 23 steps | sources (1): lucchi-pp | val 38 test 38 | bs=8 src_bs=8 lr=0.0001 mu=0.1 gamma=10.0 amp=True gpu=NVIDIA GeForce RTX 3070
+[14:27:00][      14s] epoch 1/15 loss 0.7798 seg_src 0.3895 dom 0.1021 seg_tgt 0.3875 grl 0.05
+[14:27:10][      23s] epoch 2/15 loss 0.4497 seg_src 0.2308 dom 0.2139 seg_tgt 0.1941 grl 0.34
+[14:27:19][      32s] epoch 3/15 loss 0.4461 seg_src 0.2055 dom 0.2385 seg_tgt 0.1510 grl 0.61
+[14:27:28][      42s] epoch 4/15 loss 0.4809 seg_src 0.1911 dom 0.1910 seg_tgt 0.1472 grl 0.79
+[14:27:40][      53s] epoch 5/15 loss 0.4216 seg_src 0.1824 dom 0.1084 seg_tgt 0.1321 grl 0.89 val_dice 0.8732
+[14:27:49][      62s] epoch 6/15 loss 0.3571 seg_src 0.1471 dom 0.0989 seg_tgt 0.1111 grl 0.95
+[14:27:58][      72s] epoch 7/15 loss 0.3343 seg_src 0.1349 dom 0.1009 seg_tgt 0.0985 grl 0.97
+[14:28:08][      81s] epoch 8/15 loss 0.3265 seg_src 0.1248 dom 0.1054 seg_tgt 0.0964 grl 0.99
+[14:28:17][      91s] epoch 9/15 loss 0.3029 seg_src 0.1102 dom 0.1044 seg_tgt 0.0882 grl 0.99
+[14:28:29][     102s] epoch 10/15 loss 0.2916 seg_src 0.1070 dom 0.1054 seg_tgt 0.0792 grl 1.00 val_dice 0.9035 | TEST patch_dice 0.9005 image_dice 0.9005
+[14:28:38][     111s] epoch 11/15 loss 0.2783 seg_src 0.0976 dom 0.1058 seg_tgt 0.0749 grl 1.00
+[14:28:47][     121s] epoch 12/15 loss 0.2780 seg_src 0.1000 dom 0.1074 seg_tgt 0.0706 grl 1.00
+[14:28:57][     130s] epoch 13/15 loss 0.2598 seg_src 0.0835 dom 0.1088 seg_tgt 0.0675 grl 1.00
+[14:29:06][     140s] epoch 14/15 loss 0.2561 seg_src 0.0818 dom 0.1117 seg_tgt 0.0626 grl 1.00
+[14:29:17][     150s] epoch 15/15 loss 0.2491 seg_src 0.0774 dom 0.1118 seg_tgt 0.0599 grl 1.00 val_dice 0.9088 | TEST patch_dice 0.9119 image_dice 0.9119
+[14:29:17][     151s] DONE test patch_dice 0.9119 image_dice 0.9119 patch_vi 0.1564 | cyclegan 0.0 min, train 2.5 min

baselines/adapt/bayzid-system-2/runs/mitochondria/fly-brain-mito-benchmark/mtda_e15_b100_s2/result.json

@@ -0,0 +1,249 @@
+{
+  "task": "mitochondria",
+  "target": "fly-brain-mito-benchmark",
+  "variant": "mtda",
+  "budget": 100.0,
+  "seed": 2,
+  "epochs": 15,
+  "steps_per_epoch": 23,
+  "labeled_patches": 180,
+  "train_pool": 180,
+  "sources": [
+    "lucchi-pp"
+  ],
+  "args": {
+    "macs_repo": "/mnt/sdc1/connectomics/MACS-2",
+    "method": "mtda",
+    "source": "lucchi-pp",
+    "task": "mitochondria",
+    "target": "fly-brain-mito-benchmark",
+    "budget": 100.0,
+    "seed": 2,
+    "epochs": 15,
+    "max_steps": 400,
+    "bs": 8,
+    "src_bs": 8,
+    "lr": 0.0001,
+    "gamma": 10.0,
+    "mu": 0.1,
+    "gan_iters": 1500,
+    "gan_bs": 4,
+    "ngf": 32,
+    "sem_weight": 1.0,
+    "ema": 0.99,
+    "cons_weight": 1.0,
+    "mask_ratio": 0.5,
+    "kd_weight": 0.1,
+    "num_workers": 8,
+    "val_every": 5,
+    "test_epochs": "10",
+    "models_dir": "/mnt/sdc1/connectomics/MACS-2/models",
+    "out_root": "/mnt/sdc1/connectomics/MACS-baselines/adapt/results-macs",
+    "no_amp": false
+  },
+  "gan_seconds": 0.0,
+  "train_seconds": 147.85463070869446,
+  "test": {
+    "patch_dice": 0.9118979050359739,
+    "patch_iou": 0.8400440818415056,
+    "patch_precision": 0.9581017777369061,
+    "patch_recall": 0.8712607979423401,
+    "patch_vi": 0.15638674641859968,
+    "n_patches": 38,
+    "image_dice": 0.9118979050359739,
+    "image_iou": 0.8400440818415056,
+    "image_precision": 0.9581017777369061,
+    "image_recall": 0.8712607979423401,
+    "image_vi": 0.15638674641859968,
+    "n_images": 38,
+    "cal_ece": 0.03694194177574221,
+    "cal_nll": 0.08148072316532336,
+    "cal_brier": 0.015294022310169403,
+    "cal_mean_confidence": 0.9495230157888153,
+    "cal_accuracy": 0.9822162828947368,
+    "cal_predicted_prevalence": 0.10832134046052631,
+    "cal_true_prevalence": 0.11798416940789473,
+    "cal_mean_probability": 0.1448108246441782,
+    "_infer_s": 0.515061616897583
+  },
+  "tests_by_epoch": {
+    "10": {
+      "patch_dice": 0.9004701010715062,
+      "patch_iou": 0.8213043169032149,
+      "patch_precision": 0.9539906434503631,
+      "patch_recall": 0.8540319463382394,
+      "patch_vi": 0.1711846859355457,
+      "n_patches": 38,
+      "image_dice": 0.9004701010715062,
+      "image_iou": 0.8213043169032149,
+      "image_precision": 0.9539906434503631,
+      "image_recall": 0.8540319463382394,
+      "image_vi": 0.1711846859355457,
+      "n_images": 38,
+      "cal_ece": 0.04689993550288672,
+      "cal_nll": 0.09590070187967463,
+      "cal_brier": 0.017678484157429144,
+      "cal_mean_confidence": 0.9341691887277289,
+      "cal_accuracy": 0.9801860608552632,
+      "cal_predicted_prevalence": 0.10654810855263158,
+      "cal_true_prevalence": 0.11798416940789473,
+      "cal_mean_probability": 0.15454819519608895,
+      "_infer_s": 1.72524094581604
+    },
+    "15": {
+      "patch_dice": 0.9118979050359739,
+      "patch_iou": 0.8400440818415056,
+      "patch_precision": 0.9581017777369061,
+      "patch_recall": 0.8712607979423401,
+      "patch_vi": 0.15638674641859968,
+      "n_patches": 38,
+      "image_dice": 0.9118979050359739,
+      "image_iou": 0.8400440818415056,
+      "image_precision": 0.9581017777369061,
+      "image_recall": 0.8712607979423401,
+      "image_vi": 0.15638674641859968,
+      "n_images": 38,
+      "cal_ece": 0.03694194177574221,
+      "cal_nll": 0.08148072316532336,
+      "cal_brier": 0.015294022310169403,
+      "cal_mean_confidence": 0.9495230157888153,
+      "cal_accuracy": 0.9822162828947368,
+      "cal_predicted_prevalence": 0.10832134046052631,
+      "cal_true_prevalence": 0.11798416940789473,
+      "cal_mean_probability": 0.1448108246441782,
+      "_infer_s": 0.515061616897583
+    }
+  },
+  "history": [
+    {
+      "epoch": 1,
+      "loss": 0.7798493919165238,
+      "seg_src": 0.38948239450869354,
+      "dom": 0.1020553361867433,
+      "seg_tgt": 0.38747844035210816,
+      "grl": 0.05
+    },
+    {
+      "epoch": 2,
+      "loss": 0.4496863367764846,
+      "seg_src": 0.2308358239090961,
+      "dom": 0.21388157230356467,
+      "seg_tgt": 0.1941290031308713,
+      "grl": 0.3426949069654601
+    },
+    {
+      "epoch": 3,
+      "loss": 0.4461054918558701,
+      "seg_src": 0.20553003899429156,
+      "dom": 0.2384922407243563,
+      "seg_tgt": 0.15098656001298325,
+      "grl": 0.6133572603953825
+    },
+    {
+      "epoch": 4,
+      "loss": 0.48093973164973053,
+      "seg_src": 0.19108227348845938,
+      "dom": 0.19102397042772043,
+      "seg_tgt": 0.1471773606279622,
+      "grl": 0.7899988299594705
+    },
+    {
+      "epoch": 5,
+      "loss": 0.42164330378822656,
+      "seg_src": 0.1823955009812894,
+      "dom": 0.10842661591975586,
+      "seg_tgt": 0.13213130345811014,
+      "grl": 0.8913734677347187,
+      "val_dice": 0.873239556767351
+    },
+    {
+      "epoch": 6,
+      "loss": 0.35712450094844983,
+      "seg_src": 0.14706521351700244,
+      "dom": 0.09894413727781047,
+      "seg_tgt": 0.1111151511254518,
+      "grl": 0.9453064264076343
+    },
+    {
+      "epoch": 7,
+      "loss": 0.3342832650827325,
+      "seg_src": 0.13492457309494849,
+      "dom": 0.1008660705841106,
+      "seg_tgt": 0.09849262140367342,
+      "grl": 0.9728461661125112
+    },
+    {
+      "epoch": 8,
+      "loss": 0.3265340250471364,
+      "seg_src": 0.12480163055917491,
+      "dom": 0.10536221252835315,
+      "seg_tgt": 0.09637018098779347,
+      "grl": 0.9866142981514305
+    },
+    {
+      "epoch": 9,
+      "loss": 0.3028703746588334,
+      "seg_src": 0.11022933896469034,
+      "dom": 0.10441288157649663,
+      "seg_tgt": 0.08822815152614014,
+      "grl": 0.9934246772281319
+    },
+    {
+      "epoch": 10,
+      "loss": 0.29157376807668933,
+      "seg_src": 0.10698649935100389,
+      "dom": 0.10543326126492542,
+      "seg_tgt": 0.07915400616500688,
+      "grl": 0.9967756945029476,
+      "val_dice": 0.9034798427114573,
+      "test_patch_dice": 0.9004701010715062,
+      "test_image_dice": 0.9004701010715062
+    },
+    {
+      "epoch": 11,
+      "loss": 0.278279449628747,
+      "seg_src": 0.09763256039308466,
+      "dom": 0.10579048291496608,
+      "seg_tgt": 0.07485640340525171,
+      "grl": 0.9984202681165271
+    },
+    {
+      "epoch": 12,
+      "loss": 0.2779854056627854,
+      "seg_src": 0.09995819531057192,
+      "dom": 0.10740360552849977,
+      "seg_tgt": 0.07062360741522002,
+      "grl": 0.999226343498715
+    },
+    {
+      "epoch": 13,
+      "loss": 0.2598388020111167,
+      "seg_src": 0.08354642080224078,
+      "dom": 0.10876826132121294,
+      "seg_tgt": 0.06752411697221838,
+      "grl": 0.9996211881123498
+    },
+    {
+      "epoch": 14,
+      "loss": 0.25614570340384607,
+      "seg_src": 0.08184845259656078,
+      "dom": 0.11168632235216058,
+      "seg_tgt": 0.06261092958890874,
+      "grl": 0.9998145378686683
+    },
+    {
+      "epoch": 15,
+      "loss": 0.24911994843379312,
+      "seg_src": 0.07743616952844289,
+      "dom": 0.11179686434890913,
+      "seg_tgt": 0.05988691471841024,
+      "grl": 0.9999092042625952,
+      "val_dice": 0.9088386580426626,
+      "test_patch_dice": 0.9118979050359739,
+      "test_image_dice": 0.9118979050359739
+    }
+  ],
+  "data_access": "sources: labeled train patches; target: unlabeled train pool + random upfront budget of train labels; val: logged only (no selection, final model); test: evaluation only",
+  "gpu": "NVIDIA GeForce RTX 3070",
+  "torch": "2.5.1+cu118"
+}

baselines/adapt/bayzid-system-2/runs/mitochondria/fly-brain-mito-benchmark/mtda_e15_b100_s3/log.txt

@@ -0,0 +1,17 @@
+[02:03:08][       8s] START mtda target=fly-brain-mito-benchmark task=mitochondria budget=100% (180/180 labeled) seed=3 epochs=15 x 23 steps | sources (1): lucchi-pp | val 38 test 38 | bs=8 src_bs=8 lr=0.0001 mu=0.1 gamma=10.0 amp=True gpu=NVIDIA GeForce RTX 3070
+[02:03:29][      29s] epoch 1/15 loss 0.9822 seg_src 0.4925 dom 0.0726 seg_tgt 0.4877 grl 0.05
+[02:03:40][      40s] epoch 2/15 loss 0.5447 seg_src 0.2906 dom 0.1662 seg_tgt 0.2348 grl 0.34
+[02:03:51][      51s] epoch 3/15 loss 0.5701 seg_src 0.2927 dom 0.1862 seg_tgt 0.2082 grl 0.61
+[02:04:02][      62s] epoch 4/15 loss 0.6072 seg_src 0.2522 dom 0.1961 seg_tgt 0.2055 grl 0.79
+[02:04:17][      77s] epoch 5/15 loss 0.5531 seg_src 0.2421 dom 0.1295 seg_tgt 0.1833 grl 0.89 val_dice 0.8199
+[02:04:28][      88s] epoch 6/15 loss 0.4927 seg_src 0.2321 dom 0.1000 seg_tgt 0.1607 grl 0.95
+[02:04:40][     100s] epoch 7/15 loss 0.4346 seg_src 0.1930 dom 0.0925 seg_tgt 0.1491 grl 0.97
+[02:04:50][     110s] epoch 8/15 loss 0.4195 seg_src 0.1971 dom 0.0893 seg_tgt 0.1330 grl 0.99
+[02:05:01][     121s] epoch 9/15 loss 0.3913 seg_src 0.1769 dom 0.0899 seg_tgt 0.1245 grl 0.99
+[02:05:18][     138s] epoch 10/15 loss 0.3660 seg_src 0.1565 dom 0.0903 seg_tgt 0.1192 grl 1.00 val_dice 0.8853 | TEST patch_dice 0.8974 image_dice 0.8974
+[02:05:29][     149s] epoch 11/15 loss 0.3439 seg_src 0.1379 dom 0.0922 seg_tgt 0.1138 grl 1.00
+[02:05:40][     160s] epoch 12/15 loss 0.3439 seg_src 0.1455 dom 0.0926 seg_tgt 0.1059 grl 1.00
+[02:05:51][     171s] epoch 13/15 loss 0.3247 seg_src 0.1302 dom 0.0928 seg_tgt 0.1017 grl 1.00
+[02:06:03][     183s] epoch 14/15 loss 0.3145 seg_src 0.1232 dom 0.0942 seg_tgt 0.0971 grl 1.00
+[02:06:18][     198s] epoch 15/15 loss 0.2974 seg_src 0.1126 dom 0.0937 seg_tgt 0.0912 grl 1.00 val_dice 0.9137 | TEST patch_dice 0.9206 image_dice 0.9206
+[02:06:20][     200s] DONE test patch_dice 0.9206 image_dice 0.9206 patch_vi 0.1625 | cyclegan 0.0 min, train 3.1 min

baselines/adapt/bayzid-system-2/runs/mitochondria/fly-brain-mito-benchmark/mtda_e15_b100_s3/result.json

@@ -0,0 +1,249 @@
+{
+  "task": "mitochondria",
+  "target": "fly-brain-mito-benchmark",
+  "variant": "mtda",
+  "budget": 100.0,
+  "seed": 3,
+  "epochs": 15,
+  "steps_per_epoch": 23,
+  "labeled_patches": 180,
+  "train_pool": 180,
+  "sources": [
+    "lucchi-pp"
+  ],
+  "args": {
+    "macs_repo": "/mnt/sdc1/connectomics/MACS-2",
+    "method": "mtda",
+    "source": "lucchi-pp",
+    "task": "mitochondria",
+    "target": "fly-brain-mito-benchmark",
+    "budget": 100.0,
+    "seed": 3,
+    "epochs": 15,
+    "max_steps": 400,
+    "bs": 8,
+    "src_bs": 8,
+    "lr": 0.0001,
+    "gamma": 10.0,
+    "mu": 0.1,
+    "gan_iters": 1500,
+    "gan_bs": 4,
+    "ngf": 32,
+    "sem_weight": 1.0,
+    "ema": 0.99,
+    "cons_weight": 1.0,
+    "mask_ratio": 0.5,
+    "kd_weight": 0.1,
+    "num_workers": 8,
+    "val_every": 5,
+    "test_epochs": "10",
+    "models_dir": "/mnt/sdc1/connectomics/MACS-2/models",
+    "out_root": "/mnt/sdc1/connectomics/MACS-baselines/adapt/results-macs",
+    "no_amp": false
+  },
+  "gan_seconds": 0.0,
+  "train_seconds": 186.7501881122589,
+  "test": {
+    "patch_dice": 0.9206151775507264,
+    "patch_iou": 0.8538222192692724,
+    "patch_precision": 0.9108765973113462,
+    "patch_recall": 0.9311127128066514,
+    "patch_vi": 0.16245119467404057,
+    "n_patches": 38,
+    "image_dice": 0.9206151775507264,
+    "image_iou": 0.8538222192692724,
+    "image_precision": 0.9108765973113462,
+    "image_recall": 0.9311127128066514,
+    "image_vi": 0.16245119467404057,
+    "n_images": 38,
+    "cal_ece": 0.06376560766143724,
+    "cal_nll": 0.10615810913570717,
+    "cal_brier": 0.017729793113765734,
+    "cal_mean_confidence": 0.9197832828023007,
+    "cal_accuracy": 0.9821134868421053,
+    "cal_predicted_prevalence": 0.12050267269736842,
+    "cal_true_prevalence": 0.11798416940789473,
+    "cal_mean_probability": 0.1840015730357185,
+    "_infer_s": 2.2697880268096924
+  },
+  "tests_by_epoch": {
+    "10": {
+      "patch_dice": 0.897398902763269,
+      "patch_iou": 0.8158110205515614,
+      "patch_precision": 0.9360758384577972,
+      "patch_recall": 0.8632959274107521,
+      "patch_vi": 0.1831051795240046,
+      "n_patches": 38,
+      "image_dice": 0.897398902763269,
+      "image_iou": 0.8158110205515614,
+      "image_precision": 0.9360758384577972,
+      "image_recall": 0.8632959274107521,
+      "image_vi": 0.1831051795240046,
+      "n_images": 38,
+      "cal_ece": 0.08698374088640992,
+      "cal_nll": 0.137187269385823,
+      "cal_brier": 0.02443067517544191,
+      "cal_mean_confidence": 0.8923285535214847,
+      "cal_accuracy": 0.9793122944078947,
+      "cal_predicted_prevalence": 0.109375,
+      "cal_true_prevalence": 0.11798416940789473,
+      "cal_mean_probability": 0.19306982294528113,
+      "_infer_s": 3.121534585952759
+    },
+    "15": {
+      "patch_dice": 0.9206151775507264,
+      "patch_iou": 0.8538222192692724,
+      "patch_precision": 0.9108765973113462,
+      "patch_recall": 0.9311127128066514,
+      "patch_vi": 0.16245119467404057,
+      "n_patches": 38,
+      "image_dice": 0.9206151775507264,
+      "image_iou": 0.8538222192692724,
+      "image_precision": 0.9108765973113462,
+      "image_recall": 0.9311127128066514,
+      "image_vi": 0.16245119467404057,
+      "n_images": 38,
+      "cal_ece": 0.06376560766143724,
+      "cal_nll": 0.10615810913570717,
+      "cal_brier": 0.017729793113765734,
+      "cal_mean_confidence": 0.9197832828023007,
+      "cal_accuracy": 0.9821134868421053,
+      "cal_predicted_prevalence": 0.12050267269736842,
+      "cal_true_prevalence": 0.11798416940789473,
+      "cal_mean_probability": 0.1840015730357185,
+      "_infer_s": 2.2697880268096924
+    }
+  },
+  "history": [
+    {
+      "epoch": 1,
+      "loss": 0.9821994589722675,
+      "seg_src": 0.49246608563091443,
+      "dom": 0.07261035340311735,
+      "seg_tgt": 0.4876988491286402,
+      "grl": 0.05
+    },
+    {
+      "epoch": 2,
+      "loss": 0.5447225596593774,
+      "seg_src": 0.2905907922464868,
+      "dom": 0.1661808562019597,
+      "seg_tgt": 0.23484153073766958,
+      "grl": 0.3426949069654601
+    },
+    {
+      "epoch": 3,
+      "loss": 0.5700554018435271,
+      "seg_src": 0.2926528680583705,
+      "dom": 0.18623632970063583,
+      "seg_tgt": 0.2082086963498074,
+      "grl": 0.6133572603953825
+    },
+    {
+      "epoch": 4,
+      "loss": 0.6072111751722253,
+      "seg_src": 0.2522263235372046,
+      "dom": 0.19605345117009204,
+      "seg_tgt": 0.20552509569603464,
+      "grl": 0.7899988299594705
+    },
+    {
+      "epoch": 5,
+      "loss": 0.5530964200911315,
+      "seg_src": 0.24209856727848883,
+      "dom": 0.1295232905641846,
+      "seg_tgt": 0.18334916298804077,
+      "grl": 0.8913734677347187,
+      "val_dice": 0.8199027276806001
+    },
+    {
+      "epoch": 6,
+      "loss": 0.4927409705908402,
+      "seg_src": 0.23205843049546945,
+      "dom": 0.0999773339084957,
+      "seg_tgt": 0.1607052022996156,
+      "grl": 0.9453064264076343
+    },
+    {
+      "epoch": 7,
+      "loss": 0.43463113256122754,
+      "seg_src": 0.1929558029641276,
+      "dom": 0.09253299236297607,
+      "seg_tgt": 0.14914233399474103,
+      "grl": 0.9728461661125112
+    },
+    {
+      "epoch": 8,
+      "loss": 0.4194522603698399,
+      "seg_src": 0.19712862955487293,
+      "dom": 0.08932625534741775,
+      "seg_tgt": 0.13299737611542578,
+      "grl": 0.9866142981514305
+    },
+    {
+      "epoch": 9,
+      "loss": 0.3912580466788748,
+      "seg_src": 0.17694601481375488,
+      "dom": 0.08986017043175905,
+      "seg_tgt": 0.12445186143336089,
+      "grl": 0.9934246772281319
+    },
+    {
+      "epoch": 10,
+      "loss": 0.36598427658495697,
+      "seg_src": 0.15654947058014249,
+      "dom": 0.0902661826947461,
+      "seg_tgt": 0.11916862622551296,
+      "grl": 0.9967756945029476,
+      "val_dice": 0.885256916918303,
+      "test_patch_dice": 0.897398902763269,
+      "test_image_dice": 0.897398902763269
+    },
+    {
+      "epoch": 11,
+      "loss": 0.3438742290372434,
+      "seg_src": 0.13786734478629153,
+      "dom": 0.09216581608938135,
+      "seg_tgt": 0.11384106816157051,
+      "grl": 0.9984202681165271
+    },
+    {
+      "epoch": 12,
+      "loss": 0.34389097405516583,
+      "seg_src": 0.14545370120069254,
+      "dom": 0.09257752739864847,
+      "seg_tgt": 0.10585974577976309,
+      "grl": 0.999226343498715
+    },
+    {
+      "epoch": 13,
+      "loss": 0.3247408231963282,
+      "seg_src": 0.1302168832524963,
+      "dom": 0.09277495320724405,
+      "seg_tgt": 0.1017489854408347,
+      "grl": 0.9996211881123498
+    },
+    {
+      "epoch": 14,
+      "loss": 0.3145291261051012,
+      "seg_src": 0.12319143926319868,
+      "dom": 0.09421524308297945,
+      "seg_tgt": 0.09712244149135507,
+      "grl": 0.9998145378686683
+    },
+    {
+      "epoch": 15,
+      "loss": 0.29740658272867615,
+      "seg_src": 0.11256442931683167,
+      "dom": 0.0936574294515278,
+      "seg_tgt": 0.091184726551823,
+      "grl": 0.9999092042625952,
+      "val_dice": 0.9136757967372313,
+      "test_patch_dice": 0.9206151775507264,
+      "test_image_dice": 0.9206151775507264
+    }
+  ],
+  "data_access": "sources: labeled train patches; target: unlabeled train pool + random upfront budget of train labels; val: logged only (no selection, final model); test: evaluation only",
+  "gpu": "NVIDIA GeForce RTX 3070",
+  "torch": "2.5.1+cu118"
+}