Self-supervised learning loss doesn't come down

[Elody-07]

Hi Wan,

Thanks for your great work. I am running your code with command

python3 network/run_engine.py --initial_model ./pretrained/synthetic.pth --mode Train --model_dir ./output --tag self-supervised --lr 0.0001

I've noticed this triggers joint training of real and synthetic dataset. I have this problem that during each epoch, the metric keeps going back and forth and is basically over 40mm. Here's the log example during training:

[12-2900]: metric: avg_joint_error: 60.2542 , loss: synt_uv: 15.4588 synt_d: 26.9756 mv_projection: 9740.4551 mv_consistency: 0.4032 uv_hm_mean: 0.0002 pose_prior: 0.6047 collision: 4.4668 bone_length: 122.4030 domain_loss: 0.0000 , lr: 0.0001, time: 39.56s

Did I do someting wrong or miss anything? It would be help a lot if you could help me figure it out!

Best wishes

[melonwan]

Hi, Thank you for your interest! As a reference, here is the training log by running the self-supervised option. Each loss term, except bone_length and uv_hm_mean are much higher than my run. Self supervised training is not super stable, some runs can be quite off.

loss weights {"synt_hm": 1000.0, "synt_pt": 0.1, "mv_consistency": 0.0001, "mv_projection": 1, "temporal_smooth": 1.0, "prior": 0.01, "hm_mean": 0.01, "domain": 0.0, "collision": 1.0, "bone_length": 1.0}

loss values [0-0]: metric: avg_joint_error: 26.5961 , loss: synt_uv: 0.4568 synt_d: 1.1375 mv_projection: 12995.0176 mv_consistency: 279.9502 uv_hm_mean: 0.0001 pose_prior: 2.1016 collision: 50.8834 bone_length: 107.7397 domain_loss: 0.0000 , lr: 0.0001, time: 57.83s [0-100]: metric: avg_joint_error: 30.7265 , loss: synt_uv: 0.8081 synt_d: 2.9633 mv_projection: 13332.8984 mv_consistency: 337.1593 uv_hm_mean: 0.0001 pose_prior: 2.4771 collision: 48.3634 bone_length: 161.0737 domain_loss: 0.0000 , lr: 0.0001, time: 71.04s [0-200]: metric: avg_joint_error: 28.4683 , loss: synt_uv: 1.1074 synt_d: 3.9430 mv_projection: 12726.0098 mv_consistency: 269.7279 uv_hm_mean: 0.0001 pose_prior: 2.3799 collision: 34.7463 bone_length: 152.6583 domain_loss: 0.0000 , lr: 0.0001, time: 68.59s [0-300]: metric: avg_joint_error: 27.7738 , loss: synt_uv: 1.3963 synt_d: 4.7575 mv_projection: 12401.5029 mv_consistency: 242.4969 uv_hm_mean: 0.0001 pose_prior: 2.3281 collision: 29.3104 bone_length: 141.7647 domain_loss: 0.0000 , lr: 0.0001, time: 67.94s [0-400]: metric: avg_joint_error: 27.1831 , loss: synt_uv: 1.6804 synt_d: 5.4104 mv_projection: 12163.0127 mv_consistency: 223.3045 uv_hm_mean: 0.0001 pose_prior: 2.2970 collision: 25.2504 bone_length: 136.8227 domain_loss: 0.0000 , lr: 0.0001, time: 68.47s [0-500]: metric: avg_joint_error: 26.3285 , loss: synt_uv: 1.9354 synt_d: 5.8952 mv_projection: 11903.6934 mv_consistency: 203.2938 uv_hm_mean: 0.0001 pose_prior: 2.2649 collision: 22.1477 bone_length: 130.3370 domain_loss: 0.0000 , lr: 0.0001, time: 70.52s [0-600]: metric: avg_joint_error: 26.0138 , loss: synt_uv: 2.1524 synt_d: 6.2887 mv_projection: 11757.4150 mv_consistency: 193.8817 uv_hm_mean: 0.0001 pose_prior: 2.2499 collision: 19.9799 bone_length: 125.6741 domain_loss: 0.0000 , lr: 0.0001, time: 68.41s [0-700]: metric: avg_joint_error: 25.4463 , loss: synt_uv: 2.3335 synt_d: 6.6490 mv_projection: 11570.3047 mv_consistency: 181.9770 uv_hm_mean: 0.0001 pose_prior: 2.2322 collision: 18.7191 bone_length: 120.4062 domain_loss: 0.0000 , lr: 0.0001, time: 68.48s [0-800]: metric: avg_joint_error: 24.9119 , loss: synt_uv: 2.4857 synt_d: 6.9832 mv_projection: 11402.9707 mv_consistency: 171.8174 uv_hm_mean: 0.0001 pose_prior: 2.2214 collision: 17.0091 bone_length: 115.8256 domain_loss: 0.0000 , lr: 0.0001, time: 69.29s [0-900]: metric: avg_joint_error: 24.5699 , loss: synt_uv: 2.6126 synt_d: 7.2337 mv_projection: 11278.7295 mv_consistency: 164.8258 uv_hm_mean: 0.0001 pose_prior: 2.2134 collision: 16.0519 bone_length: 112.7550 domain_loss: 0.0000 , lr: 0.0001, time: 71.37s [0-1000]: metric: avg_joint_error: 24.2259 , loss: synt_uv: 2.7270 synt_d: 7.4525 mv_projection: 11173.0312 mv_consistency: 158.0468 uv_hm_mean: 0.0001 pose_prior: 2.2043 collision: 15.1674 bone_length: 109.5780 domain_loss: 0.0000 , lr: 0.0001, time: 69.30s [0-1100]: metric: avg_joint_error: 23.8754 , loss: synt_uv: 2.8348 synt_d: 7.6575 mv_projection: 11062.5449 mv_consistency: 151.4822 uv_hm_mean: 0.0001 pose_prior: 2.1985 collision: 14.3138 bone_length: 106.6506 domain_loss: 0.0000 , lr: 0.0001, time: 68.60s [0-1200]: metric: avg_joint_error: 23.5357 , loss: synt_uv: 2.9314 synt_d: 7.8639 mv_projection: 10961.2510 mv_consistency: 145.5430 uv_hm_mean: 0.0001 pose_prior: 2.1934 collision: 13.5931 bone_length: 103.6715 domain_loss: 0.0000 , lr: 0.0001, time: 68.63s [0-1300]: metric: avg_joint_error: 23.3069 , loss: synt_uv: 3.0220 synt_d: 8.0346 mv_projection: 10884.3574 mv_consistency: 141.0363 uv_hm_mean: 0.0001 pose_prior: 2.1903 collision: 13.1464 bone_length: 101.9339 domain_loss: 0.0000 , lr: 0.0001, time: 70.53s [0-1400]: metric: avg_joint_error: 23.0803 , loss: synt_uv: 3.1163 synt_d: 8.2050 mv_projection: 10806.6895 mv_consistency: 136.7755 uv_hm_mean: 0.0001 pose_prior: 2.1868 collision: 12.5682 bone_length: 99.9348 domain_loss: 0.0000 , lr: 0.0001, time: 68.17s [0-1500]: metric: avg_joint_error: 22.9896 , loss: synt_uv: 3.1923 synt_d: 8.3427 mv_projection: 10745.9258 mv_consistency: 134.9460 uv_hm_mean: 0.0001 pose_prior: 2.1831 collision: 12.0953 bone_length: 98.2067 domain_loss: 0.0000 , lr: 0.0001, time: 68.98s [0-1600]: metric: avg_joint_error: 22.7752 , loss: synt_uv: 3.2723 synt_d: 8.4947 mv_projection: 10675.9355 mv_consistency: 131.3237 uv_hm_mean: 0.0001 pose_prior: 2.1798 collision: 11.5967 bone_length: 96.2728 domain_loss: 0.0000 , lr: 0.0001, time: 68.46s [0-1700]: metric: avg_joint_error: 22.6065 , loss: synt_uv: 3.3554 synt_d: 8.6891 mv_projection: 10618.2480 mv_consistency: 128.3109 uv_hm_mean: 0.0001 pose_prior: 2.1775 collision: 11.0743 bone_length: 94.5815 domain_loss: 0.0000 , lr: 0.0001, time: 70.61s [0-1800]: metric: avg_joint_error: 22.4548 , loss: synt_uv: 3.4316 synt_d: 8.8375 mv_projection: 10567.4229 mv_consistency: 125.6443 uv_hm_mean: 0.0001 pose_prior: 2.1769 collision: 10.5840 bone_length: 93.0874 domain_loss: 0.0000 , lr: 0.0001, time: 69.22s [0-1900]: metric: avg_joint_error: 22.3048 , loss: synt_uv: 3.4992 synt_d: 9.0011 mv_projection: 10513.2158 mv_consistency: 122.9997 uv_hm_mean: 0.0001 pose_prior: 2.1748 collision: 10.2294 bone_length: 91.5154 domain_loss: 0.0000 , lr: 0.0001, time: 68.53s [0-2000]: metric: avg_joint_error: 22.1647 , loss: synt_uv: 3.5685 synt_d: 9.1509 mv_projection: 10467.4355 mv_consistency: 120.6455 uv_hm_mean: 0.0001 pose_prior: 2.1750 collision: 9.9917 bone_length: 90.3706 domain_loss: 0.0000 , lr: 0.0001, time: 68.08s [0-2100]: metric: avg_joint_error: 22.0224 , loss: synt_uv: 3.6336 synt_d: 9.2572 mv_projection: 10418.9170 mv_consistency: 117.9836 uv_hm_mean: 0.0001 pose_prior: 2.1745 collision: 9.7054 bone_length: 89.0793 domain_loss: 0.0000 , lr: 0.0001, time: 70.28s [0-2200]: metric: avg_joint_error: 21.8704 , loss: synt_uv: 3.6924 synt_d: 9.3509 mv_projection: 10363.7295 mv_consistency: 115.2313 uv_hm_mean: 0.0001 pose_prior: 2.1729 collision: 9.3998 bone_length: 87.7409 domain_loss: 0.0000 , lr: 0.0001, time: 68.21s [0-2300]: metric: avg_joint_error: 21.7126 , loss: synt_uv: 3.7499 synt_d: 9.4437 mv_projection: 10308.7852 mv_consistency: 112.6825 uv_hm_mean: 0.0001 pose_prior: 2.1718 collision: 9.0839 bone_length: 86.6052 domain_loss: 0.0000 , lr: 0.0001, time: 66.98s [0-2400]: metric: avg_joint_error: 21.5732 , loss: synt_uv: 3.8088 synt_d: 9.5557 mv_projection: 10264.2754 mv_consistency: 110.3285 uv_hm_mean: 0.0001 pose_prior: 2.1704 collision: 8.8246 bone_length: 85.5380 domain_loss: 0.0000 , lr: 0.0001, time: 68.78s [0-2500]: metric: avg_joint_error: 21.4345 , loss: synt_uv: 3.8662 synt_d: 9.6541 mv_projection: 10219.3350 mv_consistency: 107.9928 uv_hm_mean: 0.0001 pose_prior: 2.1689 collision: 8.5363 bone_length: 84.3901 domain_loss: 0.0000 , lr: 0.0001, time: 70.24s [0-2600]: metric: avg_joint_error: 21.3295 , loss: synt_uv: 3.9221 synt_d: 9.7350 mv_projection: 10179.3545 mv_consistency: 106.2155 uv_hm_mean: 0.0000 pose_prior: 2.1681 collision: 8.3956 bone_length: 83.4925 domain_loss: 0.0000 , lr: 0.0001, time: 68.50s [0-2700]: metric: avg_joint_error: 21.2088 , loss: synt_uv: 3.9784 synt_d: 9.8235 mv_projection: 10136.6670 mv_consistency: 104.1749 uv_hm_mean: 0.0000 pose_prior: 2.1675 collision: 8.1741 bone_length: 82.4510 domain_loss: 0.0000 , lr: 0.0001, time: 68.44s [0-2800]: metric: avg_joint_error: 21.0897 , loss: synt_uv: 4.0323 synt_d: 9.9107 mv_projection: 10095.6260 mv_consistency: 102.2514 uv_hm_mean: 0.0000 pose_prior: 2.1662 collision: 7.9811 bone_length: 81.4985 domain_loss: 0.0000 , lr: 0.0001, time: 68.31s [0-2900]: metric: avg_joint_error: 20.9836 , loss: synt_uv: 4.0878 synt_d: 10.0025 mv_projection: 10057.9072 mv_consistency: 100.3166 uv_hm_mean: 0.0000 pose_prior: 2.1654 collision: 7.8133 bone_length: 80.5457 domain_loss: 0.0000 , lr: 0.0001, time: 70.63s [0-0]: metric: avg_joint_error: 10.4205 , loss: mv_projection: 7208.8599 mv_consistency: 3.5101 uv_hm_mean: 0.0000 pose_prior: 0.6848 collision: 0.0000 bone_length: 18.2454 , lr: 0.0001, time: 5.94s [0-100]: metric: avg_joint_error: 12.6064 , loss: mv_projection: 8790.8330 mv_consistency: 8.3194 uv_hm_mean: 0.0000 pose_prior: 0.6657 collision: 0.0000 bone_length: 41.8898 , lr: 0.0001, time: 15.19s [0-200]: metric: avg_joint_error: 12.7280 , loss: mv_projection: 8969.1270 mv_consistency: 8.0757 uv_hm_mean: 0.0000 pose_prior: 0.6867 collision: 0.0000 bone_length: 47.9556 , lr: 0.0001, time: 15.15s [0-300]: metric: avg_joint_error: 12.8618 , loss: mv_projection: 8868.5010 mv_consistency: 8.0068 uv_hm_mean: 0.0000 pose_prior: 0.7503 collision: 0.0000 bone_length: 43.1661 , lr: 0.0001, time: 15.15s [0-400]: metric: avg_joint_error: 13.0415 , loss: mv_projection: 8308.1836 mv_consistency: 9.0226 uv_hm_mean: 0.0000 pose_prior: 0.7073 collision: 0.4217 bone_length: 39.6497 , lr: 0.0001, time: 15.14s [0-500]: metric: avg_joint_error: 13.6217 , loss: mv_projection: 7998.4204 mv_consistency: 11.8333 uv_hm_mean: 0.0000 pose_prior: 0.6799 collision: 1.0859 bone_length: 42.2741 , lr: 0.0001, time: 15.17s [0-600]: metric: avg_joint_error: 14.1633 , loss: mv_projection: 7850.8315 mv_consistency: 12.4021 uv_hm_mean: 0.0000 pose_prior: 0.6527 collision: 1.1276 bone_length: 45.9402 , lr: 0.0001, time: 15.28s [0-700]: metric: avg_joint_error: 14.5020 , loss: mv_projection: 7754.7690 mv_consistency: 13.2159 uv_hm_mean: 0.0000 pose_prior: 0.6355 collision: 1.1628 bone_length: 45.0390 , lr: 0.0001, time: 15.20s [0-800]: metric: avg_joint_error: 14.8203 , loss: mv_projection: 7631.8770 mv_consistency: 13.9594 uv_hm_mean: 0.0000 pose_prior: 0.6279 collision: 2.0341 bone_length: 45.2892 , lr: 0.0001, time: 15.22s [0-900]: metric: avg_joint_error: 15.0140 , loss: mv_projection: 7522.1499 mv_consistency: 14.7968 uv_hm_mean: 0.0000 pose_prior: 0.6184 collision: 2.5318 bone_length: 45.1990 , lr: 0.0001, time: 15.42s [0-1000]: metric: avg_joint_error: 15.0570 , loss: mv_projection: 7489.1733 mv_consistency: 15.2104 uv_hm_mean: 0.0000 pose_prior: 0.6070 collision: 2.3018 bone_length: 46.3353 , lr: 0.0001, time: 15.03s [1-0]: metric: avg_joint_error: 18.4803 , loss: synt_uv: 5.5506 synt_d: 13.0339 mv_projection: 9101.1836 mv_consistency: 33.4850 uv_hm_mean: 0.0000 pose_prior: 2.0983 collision: 0.0000 bone_length: 57.1070 domain_loss: 0.0000 , lr: 0.0001, time: 53.88s [1-100]: metric: avg_joint_error: 17.9191 , loss: synt_uv: 5.6805 synt_d: 12.0923 mv_projection: 8985.1895 mv_consistency: 48.4024 uv_hm_mean: 0.0000 pose_prior: 2.1486 collision: 2.3526 bone_length: 56.3238 domain_loss: 0.0000 , lr: 0.0001, time: 70.36s [1-200]: metric: avg_joint_error: 21.4034 , loss: synt_uv: 5.6898 synt_d: 12.4561 mv_projection: 9447.4473 mv_consistency: 96.0404 uv_hm_mean: 0.0000 pose_prior: 2.1575 collision: 3.0451 bone_length: 64.3753 domain_loss: 0.0000 , lr: 0.0001, time: 68.03s [1-300]: metric: avg_joint_error: 20.7387 , loss: synt_uv: 5.8342 synt_d: 13.6269 mv_projection: 9399.9658 mv_consistency: 85.4792 uv_hm_mean: 0.0000 pose_prior: 2.1590 collision: 2.9625 bone_length: 62.7977 domain_loss: 0.0000 , lr: 0.0001, time: 68.10s [1-400]: metric: avg_joint_error: 20.1401 , loss: synt_uv: 5.8807 synt_d: 13.6480 mv_projection: 9305.5947 mv_consistency: 77.1795 uv_hm_mean: 0.0000 pose_prior: 2.1622 collision: 3.2351 bone_length: 61.2561 domain_loss: 0.0000 , lr: 0.0001, time: 67.87s [1-500]: metric: avg_joint_error: 19.7193 , loss: synt_uv: 5.9133 synt_d: 13.5787 mv_projection: 9245.8760 mv_consistency: 71.6872 uv_hm_mean: 0.0000 pose_prior: 2.1640 collision: 2.8987 bone_length: 59.8502 domain_loss: 0.0000 , lr: 0.0001, time: 70.06s [1-600]: metric: avg_joint_error: 19.3470 , loss: synt_uv: 5.9327 synt_d: 13.4613 mv_projection: 9180.0762 mv_consistency: 66.7946 uv_hm_mean: 0.0000 pose_prior: 2.1654 collision: 2.6488 bone_length: 58.3299 domain_loss: 0.0000 , lr: 0.0001, time: 68.12s [1-700]: metric: avg_joint_error: 19.0648 , loss: synt_uv: 5.9646 synt_d: 13.3733 mv_projection: 9108.8271 mv_consistency: 63.1577 uv_hm_mean: 0.0000 pose_prior: 2.1628 collision: 2.7642 bone_length: 57.1252 domain_loss: 0.0000 , lr: 0.0001, time: 68.26s [1-800]: metric: avg_joint_error: 18.8664 , loss: synt_uv: 6.0029 synt_d: 13.3319 mv_projection: 9062.4053 mv_consistency: 60.5406 uv_hm_mean: 0.0000 pose_prior: 2.1604 collision: 2.5870 bone_length: 56.0928 domain_loss: 0.0000 , lr: 0.0001, time: 68.29s [1-900]: metric: avg_joint_error: 18.6802 , loss: synt_uv: 6.0340 synt_d: 13.3118 mv_projection: 9025.5029 mv_consistency: 58.0440 uv_hm_mean: 0.0000 pose_prior: 2.1606 collision: 2.5286 bone_length: 55.2732 domain_loss: 0.0000 , lr: 0.0001, time: 70.22s [1-1000]: metric: avg_joint_error: 18.5473 , loss: synt_uv: 6.0699 synt_d: 13.3020 mv_projection: 8992.7637 mv_consistency: 56.1920 uv_hm_mean: 0.0000 pose_prior: 2.1587 collision: 2.4702 bone_length: 54.8106 domain_loss: 0.0000 , lr: 0.0001, time: 68.14s [1-1100]: metric: avg_joint_error: 18.4377 , loss: synt_uv: 6.1051 synt_d: 13.2941 mv_projection: 8973.8730 mv_consistency: 54.8456 uv_hm_mean: 0.0000 pose_prior: 2.1596 collision: 2.4002 bone_length: 54.4149 domain_loss: 0.0000 , lr: 0.0001, time: 67.96s [1-1200]: metric: avg_joint_error: 18.3550 , loss: synt_uv: 6.1380 synt_d: 13.2691 mv_projection: 8949.0635 mv_consistency: 53.6402 uv_hm_mean: 0.0000 pose_prior: 2.1580 collision: 2.3624 bone_length: 53.8558 domain_loss: 0.0000 , lr: 0.0001, time: 68.20s [1-1300]: metric: avg_joint_error: 18.2505 , loss: synt_uv: 6.1683 synt_d: 13.2365 mv_projection: 8920.8350 mv_consistency: 52.2449 uv_hm_mean: 0.0000 pose_prior: 2.1561 collision: 2.3033 bone_length: 53.2322 domain_loss: 0.0000 , lr: 0.0001, time: 70.29s [1-1400]: metric: avg_joint_error: 18.1677 , loss: synt_uv: 6.1989 synt_d: 13.1986 mv_projection: 8895.5352 mv_consistency: 51.2181 uv_hm_mean: 0.0000 pose_prior: 2.1550 collision: 2.2883 bone_length: 52.8220 domain_loss: 0.0000 , lr: 0.0001, time: 68.28s [1-1500]: metric: avg_joint_error: 18.0766 , loss: synt_uv: 6.2334 synt_d: 13.1870 mv_projection: 8874.0264 mv_consistency: 50.0331 uv_hm_mean: 0.0000 pose_prior: 2.1545 collision: 2.2413 bone_length: 52.3518 domain_loss: 0.0000 , lr: 0.0001, time: 68.23s [1-1600]: metric: avg_joint_error: 18.0140 , loss: synt_uv: 6.2658 synt_d: 13.1809 mv_projection: 8853.9512 mv_consistency: 49.2267 uv_hm_mean: 0.0000 pose_prior: 2.1553 collision: 2.1729 bone_length: 51.9104 domain_loss: 0.0000 , lr: 0.0001, time: 68.25s [1-1700]: metric: avg_joint_error: 17.9666 , loss: synt_uv: 6.2948 synt_d: 13.1721 mv_projection: 8841.0234 mv_consistency: 48.5849 uv_hm_mean: 0.0000 pose_prior: 2.1554 collision: 2.1168 bone_length: 51.6305 domain_loss: 0.0000 , lr: 0.0001, time: 70.24s [1-1800]: metric: avg_joint_error: 17.9340 , loss: synt_uv: 6.3286 synt_d: 13.1668 mv_projection: 8833.1348 mv_consistency: 48.2549 uv_hm_mean: 0.0000 pose_prior: 2.1556 collision: 2.0342 bone_length: 51.3436 domain_loss: 0.0000 , lr: 0.0001, time: 68.03s [1-1900]: metric: avg_joint_error: 17.8719 , loss: synt_uv: 6.3630 synt_d: 13.1386 mv_projection: 8820.0762 mv_consistency: 47.5434 uv_hm_mean: 0.0000 pose_prior: 2.1558 collision: 2.0045 bone_length: 51.0201 domain_loss: 0.0000 , lr: 0.0001, time: 68.07s [1-2000]: metric: avg_joint_error: 17.8259 , loss: synt_uv: 6.3938 synt_d: 13.1211 mv_projection: 8806.8965 mv_consistency: 47.0273 uv_hm_mean: 0.0000 pose_prior: 2.1555 collision: 1.9642 bone_length: 50.7680 domain_loss: 0.0000 , lr: 0.0001, time: 68.02s [1-2100]: metric: avg_joint_error: 17.7927 , loss: synt_uv: 6.4230 synt_d: 13.0887 mv_projection: 8795.6260 mv_consistency: 46.5109 uv_hm_mean: 0.0000 pose_prior: 2.1562 collision: 1.9185 bone_length: 50.4765 domain_loss: 0.0000 , lr: 0.0001, time: 70.11s [1-2200]: metric: avg_joint_error: 17.7423 , loss: synt_uv: 6.4536 synt_d: 13.0894 mv_projection: 8782.4170 mv_consistency: 45.9693 uv_hm_mean: 0.0000 pose_prior: 2.1569 collision: 1.8792 bone_length: 50.2127 domain_loss: 0.0000 , lr: 0.0001, time: 67.95s [1-2300]: metric: avg_joint_error: 17.6969 , loss: synt_uv: 6.4829 synt_d: 13.0710 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