Open dyklq opened 1 year ago
Hello, @lzfff12 . Thanks for your excellent work.
I tried to retrain the model on the HO3Dv2 dataset using your default settings for three times. However, the best result I obtained is only 9.38 on the public leaderboard. Therefore, I wonder if you have some other tricks applied during training to boost the performance?
The following are the parameter output in
option.txt
and the trained losses for reference.====== Options ====== HO3D_root: /media/data1/Dataset/HO3D_v2/Data blocks: 1 channels: 256 dex_ycb_root: /media/data1/Dataset/data_for_alignsdf/dexycb/dex-ycb epochs: 70 evaluate: False host_folder: experiments/ho3d inp_res: 256 lambda_joints2d: 100.0 lambda_objects: 500.0 lr: 0.0001 lr_decay_gamma: 0.7 lr_decay_step: 10 mano_lambda_joints3d: 10000.0 mano_lambda_manopose: 10 mano_lambda_manoshape: 0.1 mano_lambda_regulpose: 0.0 mano_lambda_regulshape: 0.0 mano_lambda_verts3d: 10000.0 mano_neurons: [1024, 512] mano_root: assets/mano_models manual_seed: 0 momentum: 0.9 network: honet_transformer obj_model_root: assets/object_models resume: None save_results: True snapshot: 10 stacks: 1 test_batch: 64 test_freq: 10 train_batch: 64 transformer_depth: 1 transformer_head: 4 use_cuda: 1 use_ho3d: True weight_decay: 0.0005 workers: 16 ===================== launched traineval.py at 2023-10-06 23:15:23.422155
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I am looking forward to your reply. And thanks in advance for your help!
hello,have you used multiple GPUs for training?I can't even get such a good result as yours..
option.txt:
====== Options ======
HO3D_root: E:/localPy/HFL-Net-main/data/ho3d_v2
blocks: 1
channels: 256
dex_ycb_root: D:/Git/data1/zhifeng/dex-ycb
epochs: 60
evaluate: False
host_folder: host_folder/ho3d
inp_res: 256
lambda_joints2d: 100.0
lambda_objects: 500.0
lr: 0.0001
lr_decay_gamma: 0.7
lr_decay_step: 10
mano_lambda_joints3d: 10000.0
mano_lambda_manopose: 10
mano_lambda_manoshape: 0.1
mano_lambda_regulpose: 0.0
mano_lambda_regulshape: 0.0
mano_lambda_verts3d: 10000.0
mano_neurons: [1024, 512]
mano_root: assets/mano_models
manual_seed: 0
momentum: 0.9
network: honet_transformer
obj_model_root: assets/object_models
resume: None
save_results: True
snapshot: 10
stacks: 1
test_batch: 64
test_freq: 10
train_batch: 64
transformer_depth: 1
transformer_head: 4
use_cuda: 1
use_ho3d: True
weight_decay: 0.0005
workers: 16
train.txt:
==== log at Wed Oct 25 01:40:52 2023 ====
(epoch: 1, time: Wed Oct 25 01:52:17 2023),mano_mesh3d_loss:10.752909660339355,mano_joints3d_loss:11.451794624328613,manopose_loss:1.289530873298645,manoshape_loss:0.3697274625301361,mano_total_loss:23.86395263671875,hm_joints2d_loss:6.5248870849609375,obj_reg_loss:96.85530853271484,obj_conf_loss:10.933370590209961,total_loss:138.1775360107422
(epoch: 2, time: Wed Oct 25 02:03:28 2023),mano_mesh3d_loss:4.629872798919678,mano_joints3d_loss:4.9628729820251465,manopose_loss:0.4780120253562927,manoshape_loss:0.32294487953186035,mano_total_loss:10.393712997436523,hm_joints2d_loss:4.203575611114502,obj_reg_loss:75.1034927368164,obj_conf_loss:6.743462562561035,total_loss:96.44424438476562
(epoch: 3, time: Wed Oct 25 02:14:38 2023),mano_mesh3d_loss:3.918079376220703,mano_joints3d_loss:4.212019443511963,manopose_loss:0.44128432869911194,manoshape_loss:0.31245240569114685,mano_total_loss:8.883832931518555,hm_joints2d_loss:3.205676555633545,obj_reg_loss:71.31925964355469,obj_conf_loss:6.484461784362793,total_loss:89.89317321777344
(epoch: 4, time: Wed Oct 25 02:25:49 2023),mano_mesh3d_loss:2.7081122398376465,mano_joints3d_loss:2.916504383087158,manopose_loss:0.3971784710884094,manoshape_loss:0.29889291524887085,mano_total_loss:6.320693016052246,hm_joints2d_loss:2.1719908714294434,obj_reg_loss:52.872005462646484,obj_conf_loss:6.808237075805664,total_loss:68.1729507446289
(epoch: 5, time: Wed Oct 25 02:37:01 2023),mano_mesh3d_loss:2.288590431213379,mano_joints3d_loss:2.4638617038726807,manopose_loss:0.3740963935852051,manoshape_loss:0.29061606526374817,mano_total_loss:5.417167663574219,hm_joints2d_loss:1.7243465185165405,obj_reg_loss:34.398860931396484,obj_conf_loss:6.466247081756592,total_loss:48.00663757324219
(epoch: 6, time: Wed Oct 25 02:48:11 2023),mano_mesh3d_loss:1.9901221990585327,mano_joints3d_loss:2.141371250152588,manopose_loss:0.3564828634262085,manoshape_loss:0.2840758264064789,mano_total_loss:4.77205228805542,hm_joints2d_loss:1.4532033205032349,obj_reg_loss:26.178821563720703,obj_conf_loss:5.9560160636901855,total_loss:38.36008071899414
(epoch: 7, time: Wed Oct 25 02:59:21 2023),mano_mesh3d_loss:1.7808808088302612,mano_joints3d_loss:1.9151705503463745,manopose_loss:0.3439672589302063,manoshape_loss:0.27842819690704346,mano_total_loss:4.318448543548584,hm_joints2d_loss:1.2809354066848755,obj_reg_loss:23.085390090942383,obj_conf_loss:5.652368545532227,total_loss:34.33715057373047
(epoch: 8, time: Wed Oct 25 03:10:30 2023),mano_mesh3d_loss:1.6949399709701538,mano_joints3d_loss:1.8231991529464722,manopose_loss:0.33483967185020447,manoshape_loss:0.27211278676986694,mano_total_loss:4.125091552734375,hm_joints2d_loss:1.1903128623962402,obj_reg_loss:21.269927978515625,obj_conf_loss:5.456887245178223,total_loss:32.04220962524414
(epoch: 9, time: Wed Oct 25 03:21:41 2023),mano_mesh3d_loss:1.4635310173034668,mano_joints3d_loss:1.5730884075164795,manopose_loss:0.32081156969070435,manoshape_loss:0.26460158824920654,mano_total_loss:3.622032642364502,hm_joints2d_loss:1.0599191188812256,obj_reg_loss:20.1235408782959,obj_conf_loss:5.337487697601318,total_loss:30.142982482910156
(epoch: 10, time: Wed Oct 25 03:32:51 2023),mano_mesh3d_loss:1.418460726737976,mano_joints3d_loss:1.523280143737793,manopose_loss:0.31185874342918396,manoshape_loss:0.25713586807250977,mano_total_loss:3.5107359886169434,hm_joints2d_loss:1.0269742012023926,obj_reg_loss:19.010021209716797,obj_conf_loss:5.207118511199951,total_loss:28.754823684692383
(epoch: 11, time: Wed Oct 25 03:46:43 2023),mano_mesh3d_loss:1.193665623664856,mano_joints3d_loss:1.280689001083374,manopose_loss:0.2987012267112732,manoshape_loss:0.250125914812088,mano_total_loss:3.0231823921203613,hm_joints2d_loss:0.9157587885856628,obj_reg_loss:16.938608169555664,obj_conf_loss:4.95547342300415,total_loss:25.833026885986328
(epoch: 12, time: Wed Oct 25 03:57:50 2023),mano_mesh3d_loss:1.1145036220550537,mano_joints3d_loss:1.195290446281433,manopose_loss:0.289430171251297,manoshape_loss:0.24314558506011963,mano_total_loss:2.842369556427002,hm_joints2d_loss:0.8486097455024719,obj_reg_loss:16.034114837646484,obj_conf_loss:4.8238844871521,total_loss:24.54898452758789
(epoch: 13, time: Wed Oct 25 04:08:58 2023),mano_mesh3d_loss:0.9834831953048706,mano_joints3d_loss:1.0544124841690063,manopose_loss:0.2776447534561157,manoshape_loss:0.23525017499923706,mano_total_loss:2.550790786743164,hm_joints2d_loss:0.776290237903595,obj_reg_loss:15.797685623168945,obj_conf_loss:4.783112049102783,total_loss:23.907852172851562
(epoch: 14, time: Wed Oct 25 04:20:05 2023),mano_mesh3d_loss:0.9185969829559326,mano_joints3d_loss:0.9848751425743103,manopose_loss:0.2688054144382477,manoshape_loss:0.22684742510318756,mano_total_loss:2.3991267681121826,hm_joints2d_loss:0.7364019751548767,obj_reg_loss:15.291302680969238,obj_conf_loss:4.711390495300293,total_loss:23.138221740722656
(epoch: 15, time: Wed Oct 25 04:31:13 2023),mano_mesh3d_loss:0.9470927119255066,mano_joints3d_loss:1.0160199403762817,manopose_loss:0.26361390948295593,manoshape_loss:0.22004179656505585,mano_total_loss:2.4467670917510986,hm_joints2d_loss:0.7441012859344482,obj_reg_loss:14.843892097473145,obj_conf_loss:4.6497697830200195,total_loss:22.684518814086914
(epoch: 16, time: Wed Oct 25 04:42:23 2023),mano_mesh3d_loss:0.8844348788261414,mano_joints3d_loss:0.9488947987556458,manopose_loss:0.25555214285850525,manoshape_loss:0.21306294202804565,mano_total_loss:2.3019464015960693,hm_joints2d_loss:0.7065331935882568,obj_reg_loss:14.548267364501953,obj_conf_loss:4.605362415313721,total_loss:22.162113189697266
(epoch: 17, time: Wed Oct 25 04:53:31 2023),mano_mesh3d_loss:0.8047218918800354,mano_joints3d_loss:0.8627440333366394,manopose_loss:0.24653878808021545,manoshape_loss:0.2039784938097,mano_total_loss:2.1179826259613037,hm_joints2d_loss:0.661069393157959,obj_reg_loss:14.104904174804688,obj_conf_loss:4.534990310668945,total_loss:21.418956756591797
(epoch: 18, time: Wed Oct 25 05:04:42 2023),mano_mesh3d_loss:0.8145290613174438,mano_joints3d_loss:0.8733441233634949,manopose_loss:0.24098022282123566,manoshape_loss:0.19874443113803864,mano_total_loss:2.1275970935821533,hm_joints2d_loss:0.6634856462478638,obj_reg_loss:13.81422233581543,obj_conf_loss:4.48942232131958,total_loss:21.0947265625
(epoch: 19, time: Wed Oct 25 05:15:53 2023),mano_mesh3d_loss:0.7527212500572205,mano_joints3d_loss:0.8070859313011169,manopose_loss:0.23149627447128296,manoshape_loss:0.19083136320114136,mano_total_loss:1.9821343421936035,hm_joints2d_loss:0.6252222061157227,obj_reg_loss:13.43486499786377,obj_conf_loss:4.436611652374268,total_loss:20.47881317138672
(epoch: 20, time: Wed Oct 25 05:27:04 2023),mano_mesh3d_loss:0.6978055834770203,mano_joints3d_loss:0.7475771307945251,manopose_loss:0.22276505827903748,manoshape_loss:0.18519411981105804,mano_total_loss:1.8533426523208618,hm_joints2d_loss:0.5955826044082642,obj_reg_loss:13.288825988769531,obj_conf_loss:4.411688327789307,total_loss:20.149442672729492
(epoch: 21, time: Wed Oct 25 05:40:41 2023),mano_mesh3d_loss:0.6163346171379089,mano_joints3d_loss:0.6598300933837891,manopose_loss:0.21307078003883362,manoshape_loss:0.17750677466392517,mano_total_loss:1.6667431592941284,hm_joints2d_loss:0.5490133762359619,obj_reg_loss:12.124747276306152,obj_conf_loss:4.249111652374268,total_loss:18.589618682861328
(epoch: 22, time: Wed Oct 25 05:51:53 2023),mano_mesh3d_loss:0.5889445543289185,mano_joints3d_loss:0.6301571130752563,manopose_loss:0.20686481893062592,manoshape_loss:0.17313581705093384,mano_total_loss:1.5991026163101196,hm_joints2d_loss:0.5260227918624878,obj_reg_loss:11.895912170410156,obj_conf_loss:4.204814434051514,total_loss:18.225852966308594
(epoch: 23, time: Wed Oct 25 06:03:04 2023),mano_mesh3d_loss:0.5638411045074463,mano_joints3d_loss:0.6031050682067871,manopose_loss:0.20107275247573853,manoshape_loss:0.16932927072048187,mano_total_loss:1.5373482704162598,hm_joints2d_loss:0.5113769173622131,obj_reg_loss:11.645064353942871,obj_conf_loss:4.155946254730225,total_loss:17.849721908569336
(epoch: 24, time: Wed Oct 25 06:14:15 2023),mano_mesh3d_loss:0.5516886711120605,mano_joints3d_loss:0.589899480342865,manopose_loss:0.19590947031974792,manoshape_loss:0.165851429104805,mano_total_loss:1.50334894657135,hm_joints2d_loss:0.5031511187553406,obj_reg_loss:11.465591430664062,obj_conf_loss:4.129396915435791,total_loss:17.601497650146484
(epoch: 25, time: Wed Oct 25 06:25:26 2023),mano_mesh3d_loss:0.5273696184158325,mano_joints3d_loss:0.5636463165283203,manopose_loss:0.19080750644207,manoshape_loss:0.16115736961364746,mano_total_loss:1.4429796934127808,hm_joints2d_loss:0.48509201407432556,obj_reg_loss:11.296234130859375,obj_conf_loss:4.095125675201416,total_loss:17.31943130493164
(epoch: 26, time: Wed Oct 25 06:36:42 2023),mano_mesh3d_loss:0.5195494890213013,mano_joints3d_loss:0.5554061532020569,manopose_loss:0.18638235330581665,manoshape_loss:0.15797892212867737,mano_total_loss:1.4193177223205566,hm_joints2d_loss:0.4740477502346039,obj_reg_loss:11.13321304321289,obj_conf_loss:4.059964656829834,total_loss:17.086536407470703
(epoch: 27, time: Wed Oct 25 06:47:51 2023),mano_mesh3d_loss:0.4989352524280548,mano_joints3d_loss:0.533070981502533,manopose_loss:0.18164299428462982,manoshape_loss:0.15430334210395813,mano_total_loss:1.3679529428482056,hm_joints2d_loss:0.462337851524353,obj_reg_loss:11.0255126953125,obj_conf_loss:4.048074245452881,total_loss:16.903888702392578
(epoch: 28, time: Wed Oct 25 06:59:02 2023),mano_mesh3d_loss:0.49263688921928406,mano_joints3d_loss:0.5262185335159302,manopose_loss:0.17773163318634033,manoshape_loss:0.15123704075813293,mano_total_loss:1.347824215888977,hm_joints2d_loss:0.4545643925666809,obj_reg_loss:10.866546630859375,obj_conf_loss:4.015366077423096,total_loss:16.68430519104004
(epoch: 29, time: Wed Oct 25 07:10:11 2023),mano_mesh3d_loss:0.4807720184326172,mano_joints3d_loss:0.5135596990585327,manopose_loss:0.17401611804962158,manoshape_loss:0.1483847200870514,mano_total_loss:1.316732406616211,hm_joints2d_loss:0.4473799169063568,obj_reg_loss:10.791046142578125,obj_conf_loss:4.0038018226623535,total_loss:16.558956146240234
(epoch: 30, time: Wed Oct 25 07:21:23 2023),mano_mesh3d_loss:0.47114014625549316,mano_joints3d_loss:0.5031269788742065,manopose_loss:0.17050711810588837,manoshape_loss:0.14502981305122375,mano_total_loss:1.2898037433624268,hm_joints2d_loss:0.43984442949295044,obj_reg_loss:10.584182739257812,obj_conf_loss:3.9672834873199463,total_loss:16.281103134155273
(epoch: 31, time: Wed Oct 25 07:35:07 2023),mano_mesh3d_loss:0.41468220949172974,mano_joints3d_loss:0.4422364830970764,manopose_loss:0.16384810209274292,manoshape_loss:0.14079593122005463,mano_total_loss:1.1615628004074097,hm_joints2d_loss:0.40340355038642883,obj_reg_loss:9.931541442871094,obj_conf_loss:3.860775947570801,total_loss:15.357304573059082
(epoch: 32, time: Wed Oct 25 07:46:16 2023),mano_mesh3d_loss:0.3969498574733734,mano_joints3d_loss:0.4229135811328888,manopose_loss:0.16038979589939117,manoshape_loss:0.13736507296562195,mano_total_loss:1.1176183223724365,hm_joints2d_loss:0.3919767141342163,obj_reg_loss:9.821260452270508,obj_conf_loss:3.8370723724365234,total_loss:15.167925834655762
(epoch: 33, time: Wed Oct 25 07:57:28 2023),mano_mesh3d_loss:0.39224880933761597,mano_joints3d_loss:0.4179043173789978,manopose_loss:0.15765786170959473,manoshape_loss:0.1353393793106079,mano_total_loss:1.1031500101089478,hm_joints2d_loss:0.3874833583831787,obj_reg_loss:9.660332679748535,obj_conf_loss:3.807631254196167,total_loss:14.958609580993652
(epoch: 34, time: Wed Oct 25 08:08:39 2023),mano_mesh3d_loss:0.37970519065856934,mano_joints3d_loss:0.4045814871788025,manopose_loss:0.1551581174135208,manoshape_loss:0.13317154347896576,mano_total_loss:1.0726162195205688,hm_joints2d_loss:0.37724757194519043,obj_reg_loss:9.531811714172363,obj_conf_loss:3.783555030822754,total_loss:14.76522445678711
(epoch: 35, time: Wed Oct 25 08:19:49 2023),mano_mesh3d_loss:0.38037270307540894,mano_joints3d_loss:0.40534377098083496,manopose_loss:0.1525384783744812,manoshape_loss:0.13065239787101746,mano_total_loss:1.068907618522644,hm_joints2d_loss:0.3749103546142578,obj_reg_loss:9.468002319335938,obj_conf_loss:3.7678425312042236,total_loss:14.679648399353027
(epoch: 36, time: Wed Oct 25 08:30:59 2023),mano_mesh3d_loss:0.36373138427734375,mano_joints3d_loss:0.38719385862350464,manopose_loss:0.14982393383979797,manoshape_loss:0.1283956915140152,mano_total_loss:1.0291451215744019,hm_joints2d_loss:0.368274986743927,obj_reg_loss:9.448993682861328,obj_conf_loss:3.765721559524536,total_loss:14.612144470214844
(epoch: 37, time: Wed Oct 25 08:42:10 2023),mano_mesh3d_loss:0.3638724088668823,mano_joints3d_loss:0.3875702917575836,manopose_loss:0.14771652221679688,manoshape_loss:0.12560367584228516,mano_total_loss:1.0247623920440674,hm_joints2d_loss:0.36348995566368103,obj_reg_loss:9.361434936523438,obj_conf_loss:3.7470695972442627,total_loss:14.49675178527832
(epoch: 38, time: Wed Oct 25 08:53:20 2023),mano_mesh3d_loss:0.35567665100097656,mano_joints3d_loss:0.37887656688690186,manopose_loss:0.14538151025772095,manoshape_loss:0.12356165796518326,mano_total_loss:1.003495693206787,hm_joints2d_loss:0.35647279024124146,obj_reg_loss:9.239431381225586,obj_conf_loss:3.7187163829803467,total_loss:14.31810188293457
(epoch: 39, time: Wed Oct 25 09:04:32 2023),mano_mesh3d_loss:0.3545629382133484,mano_joints3d_loss:0.3777306377887726,manopose_loss:0.14342275261878967,manoshape_loss:0.12178390473127365,mano_total_loss:0.9975000619888306,hm_joints2d_loss:0.35505324602127075,obj_reg_loss:9.162734985351562,obj_conf_loss:3.701186418533325,total_loss:14.216477394104004
(epoch: 40, time: Wed Oct 25 09:15:42 2023),mano_mesh3d_loss:0.34934934973716736,mano_joints3d_loss:0.3723464608192444,manopose_loss:0.14123259484767914,manoshape_loss:0.11915383487939835,mano_total_loss:0.9820817112922668,hm_joints2d_loss:0.34859272837638855,obj_reg_loss:9.107193946838379,obj_conf_loss:3.6828525066375732,total_loss:14.12072467803955
(epoch: 41, time: Wed Oct 25 09:29:17 2023),mano_mesh3d_loss:0.3166537284851074,mano_joints3d_loss:0.3369356691837311,manopose_loss:0.13702958822250366,manoshape_loss:0.11509580910205841,mano_total_loss:0.9057145714759827,hm_joints2d_loss:0.3259579837322235,obj_reg_loss:8.67348575592041,obj_conf_loss:3.617037057876587,total_loss:13.522196769714355
(epoch: 42, time: Wed Oct 25 09:40:26 2023),mano_mesh3d_loss:0.30322203040122986,mano_joints3d_loss:0.32240182161331177,manopose_loss:0.1351913958787918,manoshape_loss:0.1124424859881401,mano_total_loss:0.8732581734657288,hm_joints2d_loss:0.319118469953537,obj_reg_loss:8.579022407531738,obj_conf_loss:3.5982096195220947,total_loss:13.369601249694824
(epoch: 43, time: Wed Oct 25 09:51:38 2023),mano_mesh3d_loss:0.2991984784603119,mano_joints3d_loss:0.3180887997150421,manopose_loss:0.13326948881149292,manoshape_loss:0.11048780381679535,mano_total_loss:0.8610449433326721,hm_joints2d_loss:0.31597355008125305,obj_reg_loss:8.526888847351074,obj_conf_loss:3.5915284156799316,total_loss:13.29543399810791
(epoch: 44, time: Wed Oct 25 10:02:47 2023),mano_mesh3d_loss:0.2938302755355835,mano_joints3d_loss:0.31253358721733093,manopose_loss:0.1317608803510666,manoshape_loss:0.10860414803028107,mano_total_loss:0.8467288017272949,hm_joints2d_loss:0.3113006055355072,obj_reg_loss:8.471697807312012,obj_conf_loss:3.5736875534057617,total_loss:13.203421592712402
(epoch: 45, time: Wed Oct 25 10:13:57 2023),mano_mesh3d_loss:0.29078274965286255,mano_joints3d_loss:0.30930498242378235,manopose_loss:0.129866823554039,manoshape_loss:0.1057443842291832,mano_total_loss:0.8356990814208984,hm_joints2d_loss:0.3080862760543823,obj_reg_loss:8.350577354431152,obj_conf_loss:3.5544214248657227,total_loss:13.048791885375977
(epoch: 46, time: Wed Oct 25 10:25:08 2023),mano_mesh3d_loss:0.289814829826355,mano_joints3d_loss:0.3084244728088379,manopose_loss:0.12868648767471313,manoshape_loss:0.10353092104196548,mano_total_loss:0.8304575085639954,hm_joints2d_loss:0.305131196975708,obj_reg_loss:8.357501029968262,obj_conf_loss:3.5464112758636475,total_loss:13.039493560791016
(epoch: 47, time: Wed Oct 25 10:36:21 2023),mano_mesh3d_loss:0.28463542461395264,mano_joints3d_loss:0.3029240071773529,manopose_loss:0.12736032903194427,manoshape_loss:0.10103366523981094,mano_total_loss:0.8159525394439697,hm_joints2d_loss:0.3017639219760895,obj_reg_loss:8.291011810302734,obj_conf_loss:3.531067132949829,total_loss:12.93979263305664
(epoch: 48, time: Wed Oct 25 10:47:31 2023),mano_mesh3d_loss:0.2839604318141937,mano_joints3d_loss:0.3023182153701782,manopose_loss:0.12583155930042267,manoshape_loss:0.09867504984140396,mano_total_loss:0.8107843995094299,hm_joints2d_loss:0.29897844791412354,obj_reg_loss:8.246275901794434,obj_conf_loss:3.522000789642334,total_loss:12.878042221069336
(epoch: 49, time: Wed Oct 25 10:58:41 2023),mano_mesh3d_loss:0.27805042266845703,mano_joints3d_loss:0.2960144281387329,manopose_loss:0.12420348078012466,manoshape_loss:0.09670817852020264,mano_total_loss:0.7949761748313904,hm_joints2d_loss:0.2957865595817566,obj_reg_loss:8.218408584594727,obj_conf_loss:3.513432264328003,total_loss:12.822595596313477
(epoch: 50, time: Wed Oct 25 11:09:52 2023),mano_mesh3d_loss:0.27407968044281006,mano_joints3d_loss:0.2917310297489166,manopose_loss:0.12260081619024277,manoshape_loss:0.09477099031209946,mano_total_loss:0.7831826210021973,hm_joints2d_loss:0.2925334572792053,obj_reg_loss:8.145541191101074,obj_conf_loss:3.501967430114746,total_loss:12.723234176635742
(epoch: 51, time: Wed Oct 25 11:23:28 2023),mano_mesh3d_loss:0.25593605637550354,mano_joints3d_loss:0.2722707688808441,manopose_loss:0.12056838721036911,manoshape_loss:0.09211313724517822,mano_total_loss:0.7408881783485413,hm_joints2d_loss:0.27820852398872375,obj_reg_loss:7.874297142028809,obj_conf_loss:3.4541916847229004,total_loss:12.347591400146484
(epoch: 52, time: Wed Oct 25 11:34:36 2023),mano_mesh3d_loss:0.2514323890209198,mano_joints3d_loss:0.26729634404182434,manopose_loss:0.11895803362131119,manoshape_loss:0.0908338651061058,mano_total_loss:0.7285211682319641,hm_joints2d_loss:0.276092529296875,obj_reg_loss:7.791955947875977,obj_conf_loss:3.4337902069091797,total_loss:12.23036003112793
(epoch: 53, time: Wed Oct 25 11:45:48 2023),mano_mesh3d_loss:0.2502717673778534,mano_joints3d_loss:0.2662234902381897,manopose_loss:0.1176418736577034,manoshape_loss:0.09003624320030212,mano_total_loss:0.7241730093955994,hm_joints2d_loss:0.2741023898124695,obj_reg_loss:7.786301136016846,obj_conf_loss:3.4334709644317627,total_loss:12.218050003051758
(epoch: 54, time: Wed Oct 25 11:57:00 2023),mano_mesh3d_loss:0.24666082859039307,mano_joints3d_loss:0.26235440373420715,manopose_loss:0.1168682873249054,manoshape_loss:0.08864308148622513,mano_total_loss:0.7145267128944397,hm_joints2d_loss:0.2707567512989044,obj_reg_loss:7.723181247711182,obj_conf_loss:3.4204087257385254,total_loss:12.128878593444824
(epoch: 55, time: Wed Oct 25 12:08:12 2023),mano_mesh3d_loss:0.23850621283054352,mano_joints3d_loss:0.2534066438674927,manopose_loss:0.11548995971679688,manoshape_loss:0.08748502284288406,mano_total_loss:0.6948878169059753,hm_joints2d_loss:0.26775920391082764,obj_reg_loss:7.683210372924805,obj_conf_loss:3.407618761062622,total_loss:12.053478240966797
(epoch: 56, time: Wed Oct 25 12:19:21 2023),mano_mesh3d_loss:0.2446204274892807,mano_joints3d_loss:0.26020005345344543,manopose_loss:0.11479218304157257,manoshape_loss:0.08635731786489487,mano_total_loss:0.7059704065322876,hm_joints2d_loss:0.2668567895889282,obj_reg_loss:7.657772064208984,obj_conf_loss:3.4039435386657715,total_loss:12.03454303741455
(epoch: 57, time: Wed Oct 25 12:30:35 2023),mano_mesh3d_loss:0.23748382925987244,mano_joints3d_loss:0.2525421380996704,manopose_loss:0.11364442855119705,manoshape_loss:0.08547336608171463,mano_total_loss:0.6891438961029053,hm_joints2d_loss:0.26522210240364075,obj_reg_loss:7.639414310455322,obj_conf_loss:3.3926398754119873,total_loss:11.986421585083008
(epoch: 58, time: Wed Oct 25 12:41:57 2023),mano_mesh3d_loss:0.2319469302892685,mano_joints3d_loss:0.24651791155338287,manopose_loss:0.11278776824474335,manoshape_loss:0.08405213057994843,mano_total_loss:0.6753043532371521,hm_joints2d_loss:0.26136916875839233,obj_reg_loss:7.621338844299316,obj_conf_loss:3.3923985958099365,total_loss:11.950410842895508
(epoch: 59, time: Wed Oct 25 12:53:07 2023),mano_mesh3d_loss:0.2330622524023056,mano_joints3d_loss:0.24781538546085358,manopose_loss:0.11174234002828598,manoshape_loss:0.08335136622190475,mano_total_loss:0.6759718060493469,hm_joints2d_loss:0.2587144672870636,obj_reg_loss:7.584078311920166,obj_conf_loss:3.3814706802368164,total_loss:11.900238990783691
(epoch: 60, time: Wed Oct 25 13:04:18 2023),mano_mesh3d_loss:0.2318374663591385,mano_joints3d_loss:0.24655134975910187,manopose_loss:0.11092830449342728,manoshape_loss:0.08326156437397003,mano_total_loss:0.6725788116455078,hm_joints2d_loss:0.2578127682209015,obj_reg_loss:7.551944732666016,obj_conf_loss:3.377779722213745,total_loss:11.86011028289795
The above are the running results of 60 epochs. I used the predicted JSON file of the 60th epoch to evaluate the results on codalab as follows:
Evaluation 3D KP results:
auc=0.047, mean_kp3d_avg=10571.21 cm
Evaluation 3D KP PROCRUSTES ALIGNED results:
auc=0.783, mean_kp3d_avg=1.09 cm
Evaluation 3D KP SCALE-TRANSLATION ALIGNED results:
auc=0.409, mean_kp3d_avg=3.86 cm
Evaluation 3D MESH results:
auc=0.000, mean_kp3d_avg=10125.54 cm
Evaluation 3D MESH ALIGNED results:
auc=0.786, mean_kp3d_avg=1.07 cm
F-scores
F@5.0mm = 0.000 F_aligned@5.0mm = 0.468
F@15.0mm = 0.000 F_aligned@15.0mm = 0.936
It seems that my results are much worse than yours!
Your model seems to not converge since the mano_joints3d_loss is still very high. Have you tried to train on another machine? I tried on multiple machines and 9.38 is the best one :(
Your model seems to not converge since the mano_joints3d_loss is still very high. Have you tried to train on another machine? I tried on multiple machines and 9.38 is the best one :(
May I ask what type of GPU you are using? Have you ever had a situation where the convergence effect is poor just like mine?
hello!About the file ho3d.py in folder 'dataset':
with open(train_label_root + '/ho3d_train_data.json', 'r') as f:
data_ho3d = json.load(f)
Do you use the file 'ho3d_train_data.json' provided by the author?
Its content is as follows:
{"images": [{"id": 0, "file_name": "SMu41/rgb/1583.png", "width": 640, "height": 480}, {"id": 1, "file_name": "ShSu10/rgb/0832.png", "width": 640, "height": 480}, {"id": 2, "file_name": "GPMF11/rgb/0281.png", "width": 640, "height": 480}.....}
I don't think it contains enough information.
So I used the preprocessed JSON file provided by its baseline "https://github.com/stevenlsw/Semi-Hand-Object" ,can u tell me how you handle this?
Thank you.
Hello, @lzfff12 . Thanks for your excellent work. I am looking forward to your reply. And thanks in advance for your help!
hello,after alter,i have tried twice (the first time was the configuration of the original code,the second time was when I fine-tuned the settings),here is my second result(More effective than first one):
options.txt
====== Options ======
HO3D_root: E:/localPy/HFL-Net-main/data/ho3d_v2
blocks: 1
channels: 256
dex_ycb_root: D:/Git/data1/zhifeng/dex-ycb
epochs: 70
evaluate: False
host_folder: host_folder/ho3d
inp_res: 256
lambda_joints2d: 100.0
lambda_objects: 500.0
lr: 0.0001
lr_decay_gamma: 0.7
lr_decay_step: 10
mano_lambda_joints3d: 10000.0
mano_lambda_manopose: 10
mano_lambda_manoshape: 0.1
mano_lambda_regulpose: 0.2
mano_lambda_regulshape: 0.2
mano_lambda_verts3d: 10000.0
mano_neurons: [1024, 512]
mano_root: assets/mano_models
manual_seed: 0
momentum: 0.9
network: honet_transformer
obj_model_root: assets/object_models
resume: None
save_results: True
snapshot: 10
stacks: 1
test_batch: 64
test_freq: 10
train_batch: 64
transformer_depth: 1
transformer_head: 4
use_cuda: 1
use_ho3d: True
weight_decay: 0.001
workers: 16
train.txt:
==== log at Sat Oct 28 04:20:45 2023 ====
(epoch: 1, time: Sat Oct 28 04:32:04 2023),mano_mesh3d_loss:5.662834167480469,mano_joints3d_loss:6.009425163269043,manopose_loss:1.0275304317474365,manoshape_loss:0.35120895504951477,mano_total_loss:13.050987243652344,hm_joints2d_loss:3.332943916320801,obj_reg_loss:95.97749328613281,obj_conf_loss:10.82190227508545,total_loss:123.1833724975586
(epoch: 2, time: Sat Oct 28 04:43:13 2023),mano_mesh3d_loss:1.7092427015304565,mano_joints3d_loss:1.838788390159607,manopose_loss:0.3695008456707001,manoshape_loss:0.29448679089546204,mano_total_loss:4.2120184898376465,hm_joints2d_loss:1.0964133739471436,obj_reg_loss:74.93360900878906,obj_conf_loss:6.622196197509766,total_loss:86.86421966552734
(epoch: 3, time: Sat Oct 28 04:54:22 2023),mano_mesh3d_loss:1.241330623626709,mano_joints3d_loss:1.332657814025879,manopose_loss:0.33577996492385864,manoshape_loss:0.280681312084198,mano_total_loss:3.1904513835906982,hm_joints2d_loss:0.7641048431396484,obj_reg_loss:65.98077392578125,obj_conf_loss:6.6194376945495605,total_loss:76.55472564697266
(epoch: 4, time: Sat Oct 28 05:05:30 2023),mano_mesh3d_loss:1.074718713760376,mano_joints3d_loss:1.1533006429672241,manopose_loss:0.3129923641681671,manoshape_loss:0.27333492040634155,mano_total_loss:2.8143465518951416,hm_joints2d_loss:0.6560158729553223,obj_reg_loss:43.1744384765625,obj_conf_loss:6.532155990600586,total_loss:53.17695999145508
(epoch: 5, time: Sat Oct 28 05:16:39 2023),mano_mesh3d_loss:0.8916702270507812,mano_joints3d_loss:0.9558337330818176,manopose_loss:0.2903936803340912,manoshape_loss:0.26218751072883606,mano_total_loss:2.400084972381592,hm_joints2d_loss:0.5454354286193848,obj_reg_loss:30.977998733520508,obj_conf_loss:6.160439968109131,total_loss:40.08393096923828
(epoch: 6, time: Sat Oct 28 05:27:48 2023),mano_mesh3d_loss:0.7830766439437866,mano_joints3d_loss:0.8389892578125,manopose_loss:0.26648566126823425,manoshape_loss:0.24429908394813538,mano_total_loss:2.132850408554077,hm_joints2d_loss:0.485781729221344,obj_reg_loss:23.728727340698242,obj_conf_loss:5.701799392700195,total_loss:32.049163818359375
(epoch: 7, time: Sat Oct 28 05:38:57 2023),mano_mesh3d_loss:0.7074136734008789,mano_joints3d_loss:0.7578544020652771,manopose_loss:0.2474588006734848,manoshape_loss:0.22751455008983612,mano_total_loss:1.9402421712875366,hm_joints2d_loss:0.43951788544654846,obj_reg_loss:21.181623458862305,obj_conf_loss:5.4152326583862305,total_loss:28.976593017578125
(epoch: 8, time: Sat Oct 28 05:50:05 2023),mano_mesh3d_loss:0.6819313168525696,mano_joints3d_loss:0.7305638790130615,manopose_loss:0.2345249354839325,manoshape_loss:0.21270360052585602,mano_total_loss:1.8597235679626465,hm_joints2d_loss:0.42826828360557556,obj_reg_loss:19.724390029907227,obj_conf_loss:5.23876953125,total_loss:27.251142501831055
(epoch: 9, time: Sat Oct 28 06:01:15 2023),mano_mesh3d_loss:0.566699743270874,mano_joints3d_loss:0.606271505355835,manopose_loss:0.21531590819358826,manoshape_loss:0.1904924213886261,mano_total_loss:1.5787794589996338,hm_joints2d_loss:0.36369195580482483,obj_reg_loss:18.8460693359375,obj_conf_loss:5.13468074798584,total_loss:25.92321014404297
(epoch: 10, time: Sat Oct 28 06:12:24 2023),mano_mesh3d_loss:0.5373648405075073,mano_joints3d_loss:0.5746345520019531,manopose_loss:0.20171691477298737,manoshape_loss:0.17193517088890076,mano_total_loss:1.4856501817703247,hm_joints2d_loss:0.3476342558860779,obj_reg_loss:17.96419906616211,obj_conf_loss:5.0319504737854,total_loss:24.82945442199707
(epoch: 11, time: Sat Oct 28 06:26:04 2023),mano_mesh3d_loss:0.4485572874546051,mano_joints3d_loss:0.47871464490890503,manopose_loss:0.18699632585048676,manoshape_loss:0.15731799602508545,mano_total_loss:1.2715870141983032,hm_joints2d_loss:0.309822142124176,obj_reg_loss:15.925003051757812,obj_conf_loss:4.760201454162598,total_loss:22.266626358032227
(epoch: 12, time: Sat Oct 28 06:37:11 2023),mano_mesh3d_loss:0.40595823526382446,mano_joints3d_loss:0.43283167481422424,manopose_loss:0.17622996866703033,manoshape_loss:0.14559805393218994,mano_total_loss:1.1606184244155884,hm_joints2d_loss:0.2844153344631195,obj_reg_loss:15.3441743850708,obj_conf_loss:4.662963390350342,total_loss:21.45216178894043
(epoch: 13, time: Sat Oct 28 06:48:22 2023),mano_mesh3d_loss:0.3820558786392212,mano_joints3d_loss:0.4072566628456116,manopose_loss:0.16696564853191376,manoshape_loss:0.1341530680656433,mano_total_loss:1.0904302597045898,hm_joints2d_loss:0.2705530524253845,obj_reg_loss:15.037650108337402,obj_conf_loss:4.610491752624512,total_loss:21.009130477905273
(epoch: 14, time: Sat Oct 28 06:59:33 2023),mano_mesh3d_loss:0.3696688413619995,mano_joints3d_loss:0.39424899220466614,manopose_loss:0.1591099351644516,manoshape_loss:0.12204775214195251,mano_total_loss:1.0450762510299683,hm_joints2d_loss:0.26182112097740173,obj_reg_loss:14.576507568359375,obj_conf_loss:4.537997245788574,total_loss:20.421415328979492
(epoch: 15, time: Sat Oct 28 07:10:42 2023),mano_mesh3d_loss:0.3448692858219147,mano_joints3d_loss:0.3679249882698059,manopose_loss:0.15044954419136047,manoshape_loss:0.11074288189411163,mano_total_loss:0.973986029624939,hm_joints2d_loss:0.24927860498428345,obj_reg_loss:14.205662727355957,obj_conf_loss:4.4779372215271,total_loss:19.9068660736084
(epoch: 16, time: Sat Oct 28 07:21:51 2023),mano_mesh3d_loss:0.3370217978954315,mano_joints3d_loss:0.35975182056427,manopose_loss:0.14321072399616241,manoshape_loss:0.102091483771801,mano_total_loss:0.9420754909515381,hm_joints2d_loss:0.24294531345367432,obj_reg_loss:13.906782150268555,obj_conf_loss:4.438730716705322,total_loss:19.53054428100586
(epoch: 17, time: Sat Oct 28 07:33:00 2023),mano_mesh3d_loss:0.32418736815452576,mano_joints3d_loss:0.3461523652076721,manopose_loss:0.13678163290023804,manoshape_loss:0.09566398710012436,mano_total_loss:0.90278559923172,hm_joints2d_loss:0.23915356397628784,obj_reg_loss:13.599492073059082,obj_conf_loss:4.398905277252197,total_loss:19.14032554626465
(epoch: 18, time: Sat Oct 28 07:44:09 2023),mano_mesh3d_loss:0.3067699372768402,mano_joints3d_loss:0.32761362195014954,manopose_loss:0.1303979903459549,manoshape_loss:0.08971349895000458,mano_total_loss:0.8544954657554626,hm_joints2d_loss:0.22962167859077454,obj_reg_loss:13.17901611328125,obj_conf_loss:4.328402519226074,total_loss:18.591533660888672
(epoch: 19, time: Sat Oct 28 07:55:16 2023),mano_mesh3d_loss:0.3326760232448578,mano_joints3d_loss:0.35582032799720764,manopose_loss:0.1292036771774292,manoshape_loss:0.08780618011951447,mano_total_loss:0.9055067300796509,hm_joints2d_loss:0.24861286580562592,obj_reg_loss:12.922616004943848,obj_conf_loss:4.296939373016357,total_loss:18.373680114746094
(epoch: 20, time: Sat Oct 28 08:06:26 2023),mano_mesh3d_loss:0.2851618528366089,mano_joints3d_loss:0.3047958314418793,manopose_loss:0.1207108274102211,manoshape_loss:0.0808601826429367,mano_total_loss:0.791528582572937,hm_joints2d_loss:0.21976621448993683,obj_reg_loss:12.635034561157227,obj_conf_loss:4.240077495574951,total_loss:17.886398315429688
(epoch: 21, time: Sat Oct 28 08:20:13 2023),mano_mesh3d_loss:0.2413000762462616,mano_joints3d_loss:0.2576342225074768,manopose_loss:0.11208445578813553,manoshape_loss:0.0733523964881897,mano_total_loss:0.6843715310096741,hm_joints2d_loss:0.19743114709854126,obj_reg_loss:11.594879150390625,obj_conf_loss:4.087043285369873,total_loss:16.563737869262695
(epoch: 22, time: Sat Oct 28 08:31:23 2023),mano_mesh3d_loss:0.23808254301548004,mano_joints3d_loss:0.25420594215393066,manopose_loss:0.1087004542350769,manoshape_loss:0.07033073157072067,mano_total_loss:0.6713203191757202,hm_joints2d_loss:0.19552989304065704,obj_reg_loss:11.357163429260254,obj_conf_loss:4.046005725860596,total_loss:16.270015716552734
(epoch: 23, time: Sat Oct 28 08:42:34 2023),mano_mesh3d_loss:0.22303153574466705,mano_joints3d_loss:0.2381325513124466,manopose_loss:0.1043282151222229,manoshape_loss:0.06636489182710648,mano_total_loss:0.6318575143814087,hm_joints2d_loss:0.18510396778583527,obj_reg_loss:11.204244613647461,obj_conf_loss:4.013647556304932,total_loss:16.034841537475586
(epoch: 24, time: Sat Oct 28 08:53:41 2023),mano_mesh3d_loss:0.21834805607795715,mano_joints3d_loss:0.23316016793251038,manopose_loss:0.10139405727386475,manoshape_loss:0.06390062719583511,mano_total_loss:0.616802990436554,hm_joints2d_loss:0.18174901604652405,obj_reg_loss:10.998129844665527,obj_conf_loss:3.9754202365875244,total_loss:15.77209758758545
(epoch: 25, time: Sat Oct 28 09:04:50 2023),mano_mesh3d_loss:0.2267076075077057,mano_joints3d_loss:0.24229414761066437,manopose_loss:0.10017641633749008,manoshape_loss:0.06223537400364876,mano_total_loss:0.6314136981964111,hm_joints2d_loss:0.18706148862838745,obj_reg_loss:10.882990837097168,obj_conf_loss:3.9570155143737793,total_loss:15.658480644226074
(epoch: 26, time: Sat Oct 28 09:16:01 2023),mano_mesh3d_loss:0.20992885529994965,mano_joints3d_loss:0.22425466775894165,manopose_loss:0.09644884616136551,manoshape_loss:0.05919996276497841,mano_total_loss:0.5898324847221375,hm_joints2d_loss:0.17612944543361664,obj_reg_loss:10.692288398742676,obj_conf_loss:3.9185421466827393,total_loss:15.376782417297363
(epoch: 27, time: Sat Oct 28 09:27:09 2023),mano_mesh3d_loss:0.20439286530017853,mano_joints3d_loss:0.21843118965625763,manopose_loss:0.09337317943572998,manoshape_loss:0.056570958346128464,mano_total_loss:0.5727676749229431,hm_joints2d_loss:0.17172567546367645,obj_reg_loss:10.570456504821777,obj_conf_loss:3.8927483558654785,total_loss:15.207696914672852
(epoch: 28, time: Sat Oct 28 09:38:18 2023),mano_mesh3d_loss:0.20159512758255005,mano_joints3d_loss:0.21540959179401398,manopose_loss:0.09143779426813126,manoshape_loss:0.054532893002033234,mano_total_loss:0.5629754662513733,hm_joints2d_loss:0.16953451931476593,obj_reg_loss:10.492072105407715,obj_conf_loss:3.877789258956909,total_loss:15.102376937866211
(epoch: 29, time: Sat Oct 28 09:49:28 2023),mano_mesh3d_loss:0.20265913009643555,mano_joints3d_loss:0.21668246388435364,manopose_loss:0.08963057398796082,manoshape_loss:0.05374207720160484,mano_total_loss:0.5627146363258362,hm_joints2d_loss:0.169356569647789,obj_reg_loss:10.426400184631348,obj_conf_loss:3.863560199737549,total_loss:15.022018432617188
(epoch: 30, time: Sat Oct 28 10:00:38 2023),mano_mesh3d_loss:0.19642247259616852,mano_joints3d_loss:0.21001696586608887,manopose_loss:0.0872916579246521,manoshape_loss:0.0508001334965229,mano_total_loss:0.5445307493209839,hm_joints2d_loss:0.16633856296539307,obj_reg_loss:10.198943138122559,obj_conf_loss:3.815551996231079,total_loss:14.725363731384277
(epoch: 31, time: Sat Oct 28 10:14:11 2023),mano_mesh3d_loss:0.16568946838378906,mano_joints3d_loss:0.17683908343315125,manopose_loss:0.08211340755224228,manoshape_loss:0.04720231518149376,mano_total_loss:0.4718441963195801,hm_joints2d_loss:0.15033352375030518,obj_reg_loss:9.601272583007812,obj_conf_loss:3.7213919162750244,total_loss:13.94483470916748
(epoch: 32, time: Sat Oct 28 10:25:19 2023),mano_mesh3d_loss:0.17451374232769012,mano_joints3d_loss:0.18646077811717987,manopose_loss:0.08178779482841492,manoshape_loss:0.04850923642516136,mano_total_loss:0.49127134680747986,hm_joints2d_loss:0.15547028183937073,obj_reg_loss:9.466179847717285,obj_conf_loss:3.6913211345672607,total_loss:13.804255485534668
(epoch: 33, time: Sat Oct 28 10:36:30 2023),mano_mesh3d_loss:0.15718041360378265,mano_joints3d_loss:0.16772334277629852,manopose_loss:0.07845774292945862,manoshape_loss:0.04543435946106911,mano_total_loss:0.4487956762313843,hm_joints2d_loss:0.14588990807533264,obj_reg_loss:9.32116985321045,obj_conf_loss:3.6623103618621826,total_loss:13.57817268371582
(epoch: 34, time: Sat Oct 28 10:47:40 2023),mano_mesh3d_loss:0.15411457419395447,mano_joints3d_loss:0.16449466347694397,manopose_loss:0.07683444023132324,manoshape_loss:0.04411856085062027,mano_total_loss:0.4395628571510315,hm_joints2d_loss:0.14205093681812286,obj_reg_loss:9.232551574707031,obj_conf_loss:3.6429340839385986,total_loss:13.457100868225098
(epoch: 35, time: Sat Oct 28 10:58:50 2023),mano_mesh3d_loss:0.15422479808330536,mano_joints3d_loss:0.16464848816394806,manopose_loss:0.07577081769704819,manoshape_loss:0.04326550289988518,mano_total_loss:0.4379095435142517,hm_joints2d_loss:0.14130626618862152,obj_reg_loss:9.17093276977539,obj_conf_loss:3.6278951168060303,total_loss:13.378044128417969
(epoch: 36, time: Sat Oct 28 11:10:00 2023),mano_mesh3d_loss:0.15343570709228516,mano_joints3d_loss:0.16386844217777252,manopose_loss:0.07454315572977066,manoshape_loss:0.04216218367218971,mano_total_loss:0.43400922417640686,hm_joints2d_loss:0.14049193263053894,obj_reg_loss:9.180436134338379,obj_conf_loss:3.6301958560943604,total_loss:13.385126113891602
(epoch: 37, time: Sat Oct 28 11:21:10 2023),mano_mesh3d_loss:0.16436193883419037,mano_joints3d_loss:0.1756923496723175,manopose_loss:0.07478334754705429,manoshape_loss:0.04260081797838211,mano_total_loss:0.4574384093284607,hm_joints2d_loss:0.1493612378835678,obj_reg_loss:9.0538969039917,obj_conf_loss:3.6091856956481934,total_loss:13.269893646240234
(epoch: 38, time: Sat Oct 28 11:32:21 2023),mano_mesh3d_loss:0.1467495560646057,mano_joints3d_loss:0.15678171813488007,manopose_loss:0.07179394364356995,manoshape_loss:0.04037374258041382,mano_total_loss:0.41569873690605164,hm_joints2d_loss:0.13658347725868225,obj_reg_loss:8.964479446411133,obj_conf_loss:3.583949089050293,total_loss:13.100708961486816
(epoch: 39, time: Sat Oct 28 11:43:29 2023),mano_mesh3d_loss:0.14664947986602783,mano_joints3d_loss:0.1567125916481018,manopose_loss:0.0704290047287941,manoshape_loss:0.03937835991382599,mano_total_loss:0.4131694734096527,hm_joints2d_loss:0.13533154129981995,obj_reg_loss:8.905155181884766,obj_conf_loss:3.5679280757904053,total_loss:13.021589279174805
(epoch: 40, time: Sat Oct 28 11:54:39 2023),mano_mesh3d_loss:0.14597277343273163,mano_joints3d_loss:0.15601740777492523,manopose_loss:0.06963561475276947,manoshape_loss:0.038897741585969925,mano_total_loss:0.4105234146118164,hm_joints2d_loss:0.13427306711673737,obj_reg_loss:8.873422622680664,obj_conf_loss:3.556645154953003,total_loss:12.97485637664795
(epoch: 41, time: Sat Oct 28 12:08:19 2023),mano_mesh3d_loss:0.12881845235824585,mano_joints3d_loss:0.13751783967018127,manopose_loss:0.06606460362672806,manoshape_loss:0.03656820207834244,mano_total_loss:0.36896902322769165,hm_joints2d_loss:0.12540531158447266,obj_reg_loss:8.405516624450684,obj_conf_loss:3.482649087905884,total_loss:12.382532119750977
(epoch: 42, time: Sat Oct 28 12:19:30 2023),mano_mesh3d_loss:0.12560255825519562,mano_joints3d_loss:0.13411390781402588,manopose_loss:0.06481858342885971,manoshape_loss:0.03593159466981888,mano_total_loss:0.36046671867370605,hm_joints2d_loss:0.12262165546417236,obj_reg_loss:8.346345901489258,obj_conf_loss:3.467864751815796,total_loss:12.297296524047852
(epoch: 43, time: Sat Oct 28 12:30:41 2023),mano_mesh3d_loss:0.12390559911727905,mano_joints3d_loss:0.13230720162391663,manopose_loss:0.06397642195224762,manoshape_loss:0.03563334420323372,mano_total_loss:0.35582235455513,hm_joints2d_loss:0.1214630976319313,obj_reg_loss:8.284894943237305,obj_conf_loss:3.455350160598755,total_loss:12.217531204223633
(epoch: 44, time: Sat Oct 28 12:41:48 2023),mano_mesh3d_loss:0.1229902133345604,mano_joints3d_loss:0.13137127459049225,manopose_loss:0.06320002675056458,manoshape_loss:0.03475012630224228,mano_total_loss:0.35231155157089233,hm_joints2d_loss:0.12045256793498993,obj_reg_loss:8.233452796936035,obj_conf_loss:3.4427366256713867,total_loss:12.148958206176758
(epoch: 45, time: Sat Oct 28 12:52:58 2023),mano_mesh3d_loss:0.12175589799880981,mano_joints3d_loss:0.13006193935871124,manopose_loss:0.062149778008461,manoshape_loss:0.03422839567065239,mano_total_loss:0.3481960892677307,hm_joints2d_loss:0.11923261731863022,obj_reg_loss:8.115653991699219,obj_conf_loss:3.4177277088165283,total_loss:12.00079345703125
(epoch: 46, time: Sat Oct 28 13:04:09 2023),mano_mesh3d_loss:0.12115732580423355,mano_joints3d_loss:0.12948668003082275,manopose_loss:0.061326585710048676,manoshape_loss:0.034037355333566666,mano_total_loss:0.34600749611854553,hm_joints2d_loss:0.11851581931114197,obj_reg_loss:8.11032772064209,obj_conf_loss:3.412278413772583,total_loss:11.987126350402832
(epoch: 47, time: Sat Oct 28 13:15:20 2023),mano_mesh3d_loss:0.1253247708082199,mano_joints3d_loss:0.13404950499534607,manopose_loss:0.06109656020998955,manoshape_loss:0.033268820494413376,mano_total_loss:0.35373950004577637,hm_joints2d_loss:0.1208271011710167,obj_reg_loss:8.07556438446045,obj_conf_loss:3.4025168418884277,total_loss:11.952635765075684
(epoch: 48, time: Sat Oct 28 13:26:30 2023),mano_mesh3d_loss:0.11985543370246887,mano_joints3d_loss:0.12814730405807495,manopose_loss:0.060057979077100754,manoshape_loss:0.03258959576487541,mano_total_loss:0.34065043926239014,hm_joints2d_loss:0.11802057176828384,obj_reg_loss:8.004759788513184,obj_conf_loss:3.3876311779022217,total_loss:11.851078987121582
(epoch: 49, time: Sat Oct 28 13:37:41 2023),mano_mesh3d_loss:0.11691064387559891,mano_joints3d_loss:0.12493997067213058,manopose_loss:0.05921006575226784,manoshape_loss:0.03257705271244049,mano_total_loss:0.3336375951766968,hm_joints2d_loss:0.11568503826856613,obj_reg_loss:7.974672794342041,obj_conf_loss:3.3817553520202637,total_loss:11.805760383605957
(epoch: 50, time: Sat Oct 28 13:48:50 2023),mano_mesh3d_loss:0.11554089933633804,mano_joints3d_loss:0.12353342771530151,manopose_loss:0.05817755311727524,manoshape_loss:0.031938016414642334,mano_total_loss:0.329189658164978,hm_joints2d_loss:0.11398716270923615,obj_reg_loss:7.9070353507995605,obj_conf_loss:3.369141101837158,total_loss:11.719348907470703
(epoch: 51, time: Sat Oct 28 14:02:36 2023),mano_mesh3d_loss:0.10344426333904266,mano_joints3d_loss:0.11045370995998383,manopose_loss:0.055916376411914825,manoshape_loss:0.030225815251469612,mano_total_loss:0.30004048347473145,hm_joints2d_loss:0.10746721178293228,obj_reg_loss:7.651699542999268,obj_conf_loss:3.317945718765259,total_loss:11.377151489257812
(epoch: 52, time: Sat Oct 28 14:13:52 2023),mano_mesh3d_loss:0.10194513201713562,mano_joints3d_loss:0.10886973887681961,manopose_loss:0.05515212193131447,manoshape_loss:0.029877573251724243,mano_total_loss:0.2958447337150574,hm_joints2d_loss:0.10663778334856033,obj_reg_loss:7.559969425201416,obj_conf_loss:3.3037054538726807,total_loss:11.266155242919922
(epoch: 53, time: Sat Oct 28 14:25:01 2023),mano_mesh3d_loss:0.10208802670240402,mano_joints3d_loss:0.1090310662984848,manopose_loss:0.05464491993188858,manoshape_loss:0.029633978381752968,mano_total_loss:0.29539793729782104,hm_joints2d_loss:0.10559526085853577,obj_reg_loss:7.563592433929443,obj_conf_loss:3.2987234592437744,total_loss:11.263313293457031
(epoch: 54, time: Sat Oct 28 14:36:09 2023),mano_mesh3d_loss:0.10122016817331314,mano_joints3d_loss:0.10814669728279114,manopose_loss:0.054077111184597015,manoshape_loss:0.02943260595202446,mano_total_loss:0.2928770184516907,hm_joints2d_loss:0.10487799346446991,obj_reg_loss:7.485760688781738,obj_conf_loss:3.2843728065490723,total_loss:11.167890548706055
(epoch: 55, time: Sat Oct 28 14:47:20 2023),mano_mesh3d_loss:0.10205835849046707,mano_joints3d_loss:0.10903657227754593,manopose_loss:0.053719278424978256,manoshape_loss:0.028941920027136803,mano_total_loss:0.2937563359737396,hm_joints2d_loss:0.10538212954998016,obj_reg_loss:7.457801342010498,obj_conf_loss:3.272324562072754,total_loss:11.129267692565918
(epoch: 56, time: Sat Oct 28 14:58:32 2023),mano_mesh3d_loss:0.09829597920179367,mano_joints3d_loss:0.10505352914333344,manopose_loss:0.052780020982027054,manoshape_loss:0.02858399786055088,mano_total_loss:0.284713476896286,hm_joints2d_loss:0.10253097862005234,obj_reg_loss:7.439862251281738,obj_conf_loss:3.270693302154541,total_loss:11.09780502319336
(epoch: 57, time: Sat Oct 28 15:09:41 2023),mano_mesh3d_loss:0.09729442000389099,mano_joints3d_loss:0.10396406054496765,manopose_loss:0.052309274673461914,manoshape_loss:0.028072619810700417,mano_total_loss:0.2816403806209564,hm_joints2d_loss:0.1019558534026146,obj_reg_loss:7.415909290313721,obj_conf_loss:3.263462543487549,total_loss:11.062966346740723
(epoch: 58, time: Sat Oct 28 15:20:50 2023),mano_mesh3d_loss:0.09801080077886581,mano_joints3d_loss:0.1047215461730957,manopose_loss:0.05206959322094917,manoshape_loss:0.027966607362031937,mano_total_loss:0.282768577337265,hm_joints2d_loss:0.10198980569839478,obj_reg_loss:7.398490905761719,obj_conf_loss:3.2593257427215576,total_loss:11.04257583618164
(epoch: 59, time: Sat Oct 28 15:32:00 2023),mano_mesh3d_loss:0.0968116968870163,mano_joints3d_loss:0.10345067083835602,manopose_loss:0.05133624002337456,manoshape_loss:0.027651330456137657,mano_total_loss:0.27924996614456177,hm_joints2d_loss:0.10103309154510498,obj_reg_loss:7.359562397003174,obj_conf_loss:3.2471320629119873,total_loss:10.986968994140625
(epoch: 60, time: Sat Oct 28 15:43:12 2023),mano_mesh3d_loss:0.09643588215112686,mano_joints3d_loss:0.10310786962509155,manopose_loss:0.051103103905916214,manoshape_loss:0.02742544561624527,mano_total_loss:0.27807238698005676,hm_joints2d_loss:0.10060996562242508,obj_reg_loss:7.3342976570129395,obj_conf_loss:3.2417984008789062,total_loss:10.954782485961914
(epoch: 61, time: Sat Oct 28 15:56:49 2023),mano_mesh3d_loss:0.08837481588125229,mano_joints3d_loss:0.09439828991889954,manopose_loss:0.04942017048597336,manoshape_loss:0.02664175070822239,mano_total_loss:0.25883516669273376,hm_joints2d_loss:0.09577089548110962,obj_reg_loss:7.107104778289795,obj_conf_loss:3.2011754512786865,total_loss:10.66286849975586
(epoch: 62, time: Sat Oct 28 16:07:56 2023),mano_mesh3d_loss:0.08631057292222977,mano_joints3d_loss:0.09216723591089249,manopose_loss:0.04876800253987312,manoshape_loss:0.0261559896171093,mano_total_loss:0.25340181589126587,hm_joints2d_loss:0.09409265965223312,obj_reg_loss:7.09523344039917,obj_conf_loss:3.199032783508301,total_loss:10.64176082611084
(epoch: 63, time: Sat Oct 28 16:19:05 2023),mano_mesh3d_loss:0.0863175168633461,mano_joints3d_loss:0.09219611436128616,manopose_loss:0.04831601679325104,manoshape_loss:0.025971749797463417,mano_total_loss:0.2528013586997986,hm_joints2d_loss:0.09402365982532501,obj_reg_loss:7.023326873779297,obj_conf_loss:3.177539587020874,total_loss:10.547697067260742
(epoch: 64, time: Sat Oct 28 16:30:15 2023),mano_mesh3d_loss:0.08572214096784592,mano_joints3d_loss:0.09159374237060547,manopose_loss:0.04797494038939476,manoshape_loss:0.025726692751049995,mano_total_loss:0.25101736187934875,hm_joints2d_loss:0.09326569736003876,obj_reg_loss:7.040609836578369,obj_conf_loss:3.185788869857788,total_loss:10.570687294006348
(epoch: 65, time: Sat Oct 28 16:41:23 2023),mano_mesh3d_loss:0.08503575623035431,mano_joints3d_loss:0.09086427837610245,manopose_loss:0.04766691476106644,manoshape_loss:0.02547791600227356,mano_total_loss:0.2490449696779251,hm_joints2d_loss:0.09280109405517578,obj_reg_loss:7.017753601074219,obj_conf_loss:3.1747889518737793,total_loss:10.534392356872559
(epoch: 66, time: Sat Oct 28 16:52:31 2023),mano_mesh3d_loss:0.08514980971813202,mano_joints3d_loss:0.09098846465349197,manopose_loss:0.04729922488331795,manoshape_loss:0.025491511449217796,mano_total_loss:0.24892912805080414,hm_joints2d_loss:0.09225159138441086,obj_reg_loss:6.975396633148193,obj_conf_loss:3.1682169437408447,total_loss:10.484794616699219
(epoch: 67, time: Sat Oct 28 17:03:41 2023),mano_mesh3d_loss:0.08326686173677444,mano_joints3d_loss:0.08896473795175552,manopose_loss:0.046716149896383286,manoshape_loss:0.02502763643860817,mano_total_loss:0.2439752221107483,hm_joints2d_loss:0.0913994163274765,obj_reg_loss:6.958188533782959,obj_conf_loss:3.1610074043273926,total_loss:10.454562187194824
(epoch: 68, time: Sat Oct 28 17:14:52 2023),mano_mesh3d_loss:0.08348693698644638,mano_joints3d_loss:0.08918599784374237,manopose_loss:0.0464562326669693,manoshape_loss:0.024929193779826164,mano_total_loss:0.2440582811832428,hm_joints2d_loss:0.09143798798322678,obj_reg_loss:6.923981189727783,obj_conf_loss:3.155660390853882,total_loss:10.415136337280273
(epoch: 69, time: Sat Oct 28 17:26:02 2023),mano_mesh3d_loss:0.08321628719568253,mano_joints3d_loss:0.08891810476779938,manopose_loss:0.04632878303527832,manoshape_loss:0.024727454409003258,mano_total_loss:0.24319081008434296,hm_joints2d_loss:0.09073806554079056,obj_reg_loss:6.943118572235107,obj_conf_loss:3.1519672870635986,total_loss:10.429012298583984
(epoch: 70, time: Sat Oct 28 17:37:11 2023),mano_mesh3d_loss:0.08251919597387314,mano_joints3d_loss:0.0881907045841217,manopose_loss:0.04587491229176521,manoshape_loss:0.02451799251139164,mano_total_loss:0.24110279977321625,hm_joints2d_loss:0.09034167975187302,obj_reg_loss:6.905939102172852,obj_conf_loss:3.1496031284332275,total_loss:10.386990547180176
codalab.stout_epoch_70.txt:
Evaluation 3D KP results:
auc=0.047, mean_kp3d_avg=10728.32 cm
Evaluation 3D KP PROCRUSTES ALIGNED results:
auc=0.806, mean_kp3d_avg=0.97 cm
Evaluation 3D KP SCALE-TRANSLATION ALIGNED results:
auc=0.499, mean_kp3d_avg=2.84 cm
Evaluation 3D MESH results:
auc=0.000, mean_kp3d_avg=10276.98 cm
Evaluation 3D MESH ALIGNED results:
auc=0.809, mean_kp3d_avg=0.96 cm
F-scores
F@5.0mm = 0.000 F_aligned@5.0mm = 0.541
F@15.0mm = 0.000 F_aligned@15.0mm = 0.954
It seems that there is still a certain gap between my results and yours(9.38).
How do you gain the result?Have you received results similar to mine?
I am looking forward to your reply~
Hello, I would like to ask you how you successfully reproduced the code
I encountered this error during the replication process and was unable to find/data1/zhifeng/hoddv2/evaluation. txt . May I ask if you encountered this situation while running the code?
Looking forward to your reply
Hello, @lzfff12 . Thanks for your excellent work.
I tried to retrain the model on the HO3Dv2 dataset using your default settings for three times. However, the best result I obtained is only 9.38 on the public leaderboard. Therefore, I wonder if you have some other tricks applied during training to boost the performance?
The following are the parameter output in
option.txt
and the trained losses for reference.====== Options ====== HO3D_root: /media/data1/Dataset/HO3D_v2/Data blocks: 1 channels: 256 dex_ycb_root: /media/data1/Dataset/data_for_alignsdf/dexycb/dex-ycb epochs: 70 evaluate: False host_folder: experiments/ho3d inp_res: 256 lambda_joints2d: 100.0 lambda_objects: 500.0 lr: 0.0001 lr_decay_gamma: 0.7 lr_decay_step: 10 mano_lambda_joints3d: 10000.0 mano_lambda_manopose: 10 mano_lambda_manoshape: 0.1 mano_lambda_regulpose: 0.0 mano_lambda_regulshape: 0.0 mano_lambda_verts3d: 10000.0 mano_neurons: [1024, 512] mano_root: assets/mano_models manual_seed: 0 momentum: 0.9 network: honet_transformer obj_model_root: assets/object_models resume: None save_results: True snapshot: 10 stacks: 1 test_batch: 64 test_freq: 10 train_batch: 64 transformer_depth: 1 transformer_head: 4 use_cuda: 1 use_ho3d: True weight_decay: 0.0005 workers: 16 ===================== launched traineval.py at 2023-10-06 23:15:23.422155
==== log at Fri Oct 6 23:15:31 2023 ==== (epoch: 1, time: Fri Oct 6 23:42:02 2023),mano_mesh3d_loss:5.545252323150635,mano_joints3d_loss:5.8843488693237305,manopose_loss:1.0071043968200684,manoshape_loss:0.3506675064563751,mano_total_loss:12.787386894226074,hm_joints2d_loss:3.3286962509155273,obj_reg_loss:95.60641479492188,obj_conf_loss:10.81941032409668,total_loss:122.54190063476562 (epoch: 2, time: Sat Oct 7 00:01:25 2023),mano_mesh3d_loss:1.6909847259521484,mano_joints3d_loss:1.8189302682876587,manopose_loss:0.3632090091705322,manoshape_loss:0.2927539646625519,mano_total_loss:4.165874004364014,hm_joints2d_loss:1.0852590799331665,obj_reg_loss:74.8833999633789,obj_conf_loss:6.6124725341796875,total_loss:86.74691009521484 (epoch: 3, time: Sat Oct 7 00:20:30 2023),mano_mesh3d_loss:1.320427417755127,mano_joints3d_loss:1.418541669845581,manopose_loss:0.33809858560562134,manoshape_loss:0.2805778682231903,mano_total_loss:3.3576478958129883,hm_joints2d_loss:0.7900612354278564,obj_reg_loss:68.6631088256836,obj_conf_loss:6.496152877807617,total_loss:79.30706024169922 (epoch: 4, time: Sat Oct 7 00:39:24 2023),mano_mesh3d_loss:1.0319397449493408,mano_joints3d_loss:1.1067063808441162,manopose_loss:0.31386926770210266,manoshape_loss:0.27310410141944885,mano_total_loss:2.725619316101074,hm_joints2d_loss:0.626470148563385,obj_reg_loss:50.83426284790039,obj_conf_loss:6.533202648162842,total_loss:60.71949768066406 (epoch: 5, time: Sat Oct 7 00:58:18 2023),mano_mesh3d_loss:1.109512209892273,mano_joints3d_loss:1.1911731958389282,manopose_loss:0.3025909662246704,manoshape_loss:0.26847589015960693,mano_total_loss:2.8717548847198486,hm_joints2d_loss:0.6564722061157227,obj_reg_loss:32.07004165649414,obj_conf_loss:6.203098773956299,total_loss:41.8013801574707 (epoch: 6, time: Sat Oct 7 01:17:10 2023),mano_mesh3d_loss:0.8024893999099731,mano_joints3d_loss:0.8596831560134888,manopose_loss:0.2736554443836212,manoshape_loss:0.2501206696033478,mano_total_loss:2.1859476566314697,hm_joints2d_loss:0.49380725622177124,obj_reg_loss:24.4095458984375,obj_conf_loss:5.715297698974609,total_loss:32.8045654296875 (epoch: 7, time: Sat Oct 7 01:36:03 2023),mano_mesh3d_loss:0.7018308043479919,mano_joints3d_loss:0.7514442801475525,manopose_loss:0.2519541382789612,manoshape_loss:0.23022988438606262,mano_total_loss:1.9354584217071533,hm_joints2d_loss:0.4389413297176361,obj_reg_loss:21.660181045532227,obj_conf_loss:5.430682182312012,total_loss:29.465261459350586 (epoch: 8, time: Sat Oct 7 01:54:57 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I am looking forward to your reply. And thanks in advance for your help!
Hello, during the replication process, cuda has been continuously unavailable. torch. cuda. is-available(): False. Have you encountered this issue? How to solve it?
你好,@lzfff12。感谢您的出色工作。
我尝试在 HO3Dv2 数据集上使用您的默认设置重新训练模型三次。但是,我在公共排行榜上的图纸9.38上获得了最好的结果因此,我想知道您是否在训练过程中应用了其他一些技巧来提高成绩?
以下是参数输出
option.txt
和训练出来的损失,提供参考。====== Options ====== HO3D_root: /media/data1/Dataset/HO3D_v2/Data blocks: 1 channels: 256 dex_ycb_root: /media/data1/Dataset/data_for_alignsdf/dexycb/dex-ycb epochs: 70 evaluate: False host_folder: experiments/ho3d inp_res: 256 lambda_joints2d: 100.0 lambda_objects: 500.0 lr: 0.0001 lr_decay_gamma: 0.7 lr_decay_step: 10 mano_lambda_joints3d: 10000.0 mano_lambda_manopose: 10 mano_lambda_manoshape: 0.1 mano_lambda_regulpose: 0.0 mano_lambda_regulshape: 0.0 mano_lambda_verts3d: 10000.0 mano_neurons: [1024, 512] mano_root: assets/mano_models manual_seed: 0 momentum: 0.9 network: honet_transformer obj_model_root: assets/object_models resume: None save_results: True snapshot: 10 stacks: 1 test_batch: 64 test_freq: 10 train_batch: 64 transformer_depth: 1 transformer_head: 4 use_cuda: 1 use_ho3d: True weight_decay: 0.0005 workers: 16 ===================== launched traineval.py at 2023-10-06 23:15:23.422155
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你好,请问您最终复现出来论文中的指标了么,是怎么复现的呢? 我期待您的回复。并提前感谢您的帮助!
Hello, @lzfff12 . Thanks for your excellent work.
I tried to retrain the model on the HO3Dv2 dataset using your default settings for three times. However, the best result I obtained is only 9.38 on the public leaderboard. Therefore, I wonder if you have some other tricks applied during training to boost the performance?
The following are the parameter output in
option.txt
and the trained losses for reference.I am looking forward to your reply. And thanks in advance for your help!