ready to merge v0.5
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[metadata]
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Coordinates
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Units are S.I. units (second, meters, Newtons, ...)
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If the header above contains a line with 'inDegrees', this indicates whether rotational values are in degrees (yes) or radians (no).
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endheader
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time pelvis_tilt pelvis_list pelvis_rotation pelvis_tx pelvis_ty pelvis_tz hip_flexion_r hip_adduction_r hip_rotation_r knee_angle_r knee_angle_r_beta ankle_angle_r subtalar_angle_r mtp_angle_r hip_flexion_l hip_adduction_l hip_rotation_l knee_angle_l knee_angle_l_beta ankle_angle_l subtalar_angle_l mtp_angle_l L5_S1_Flex_Ext L5_S1_Lat_Bending L5_S1_axial_rotation L4_L5_Flex_Ext L4_L5_Lat_Bending L4_L5_axial_rotation L3_L4_Flex_Ext L3_L4_Lat_Bending L3_L4_axial_rotation L2_L3_Flex_Ext L2_L3_Lat_Bending L2_L3_axial_rotation L1_L2_Flex_Ext L1_L2_Lat_Bending L1_L2_axial_rotation L1_T12_Flex_Ext L1_T12_Lat_Bending L1_T12_axial_rotation Abs_r3 Abs_r2 Abs_r1 Abs_t1 Abs_t2 neck_flexion neck_bending neck_rotation arm_flex_r arm_add_r arm_rot_r elbow_flex_r pro_sup_r wrist_flex_r wrist_dev_r arm_flex_l arm_add_l arm_rot_l elbow_flex_l pro_sup_l wrist_flex_l wrist_dev_l
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1.40000000 0.15286958 9.44094627 -90.97647946 -0.00646458 0.95115900 -0.68578441 20.39575406 -0.72019501 -21.27925055 23.60975111 0.41206789 0.92899214 11.43370712 0.00000000 5.95747088 5.00862306 -3.15152300 42.47839600 0.74138787 12.11661349 -14.15315016 0.00000000 -0.00257768 -0.19849438 4.66757351 -0.00478701 -0.26399753 4.95929685 -0.00423487 -0.48261925 4.95929685 -0.00294603 -0.48261925 4.08412682 -0.00239363 -0.40476975 3.79240347 -0.00147289 -0.30746780 3.50068013 -0.01841211 -2.24540817 25.95964356 0.00000000 0.00000000 -23.59120748 19.03633287 -15.60513131 -40.97209334 -40.31743910 -83.67419817 102.37242518 89.99559364 0.00000000 0.00000000 6.25315032 -58.07402366 -0.78338170 49.93525076 89.99559364 0.00000000 0.00000000
|
|
||||||
1.41666667 0.61598846 9.78881265 -89.01737278 -0.00267777 0.95223750 -0.67734813 20.25294724 -1.52717821 -20.17453195 24.01164680 0.41908230 5.37970567 5.03641672 0.00000000 7.19503651 5.32044931 -0.50363463 44.52928568 0.77718265 18.91970367 -9.90485456 0.00000000 0.00553904 0.02074603 4.89075612 0.01028655 0.02759223 5.19642838 0.00910009 0.05044191 5.19642838 0.00633057 0.05044191 4.27941161 0.00514355 0.04230531 3.97373935 0.00316501 0.03213561 3.66806709 0.03956481 0.23468330 27.20091832 0.00000000 0.00000000 -23.58973940 17.26495240 -18.76742715 -47.44321897 -33.98626695 -86.56041451 111.52629735 89.99559364 0.00000000 0.00000000 52.96316283 -56.35929635 106.99373387 19.65014199 89.99559364 0.00000000 0.00000000
|
|
||||||
1.43333333 1.97643866 8.98747231 -85.80371876 0.01075578 0.95489249 -0.65948205 16.77912499 -3.44970645 -18.51309810 21.37554510 0.37307364 5.26990662 0.44572701 0.00000000 9.06258243 5.85488340 -1.22875604 49.11258223 0.85717626 11.22805390 -13.62106266 0.00000000 -0.00612936 0.28871798 3.56710519 -0.01138284 0.38399492 3.79004927 -0.01006993 0.70198891 3.79004927 -0.00700525 0.70198891 3.12121704 -0.00569173 0.58875371 2.89827297 -0.00350232 0.44722416 2.67532889 -0.04378144 3.26603558 19.83916895 0.00000000 0.00000000 -25.48527838 9.79570357 -12.85496921 -46.49015872 -40.31022438 -85.59213129 103.72342264 89.99559364 0.00000000 0.00000000 50.32036562 -58.78560374 106.67028357 17.68320906 89.99559364 0.00000000 0.00000000
|
|
||||||
1.45000000 2.62380360 8.84363041 -85.63689097 0.01848007 0.95649235 -0.64869677 15.86369320 -5.96683888 -21.94795257 23.83836468 0.41605795 6.74734318 5.88255480 0.00000000 14.03347542 6.64585893 -0.41657569 55.53650107 0.96929480 9.08910337 -16.23472043 0.00000000 0.00059067 0.44962003 3.59422466 0.00109694 0.59799464 3.81886370 0.00097042 1.09320613 3.81886370 0.00067508 1.09320613 3.14494658 0.00054850 0.91686516 2.92030754 0.00033751 0.69646142 2.69566850 0.00421912 5.08619167 19.98999930 0.00000000 0.00000000 -25.13605519 11.71589845 -13.20811288 -48.77175594 -39.65401211 -86.79569285 101.90729249 89.99559364 0.00000000 0.00000000 11.63656654 -62.10102735 -4.08510110 44.23374693 89.99559364 0.00000000 0.00000000
|
|
||||||
1.46666667 -0.09924713 7.97221134 -86.19376184 0.02619819 0.95977022 -0.65107833 15.23374213 -4.70692875 -28.13714415 24.69069415 0.43093391 3.93961087 12.48944084 0.00000000 16.93286065 3.52496910 -1.58235286 58.41409780 1.01951834 12.61388815 -16.60129518 0.00000000 -0.02465293 1.15791327 2.37052107 -0.04578295 1.54002465 2.51867864 -0.04050229 2.81535032 2.51867864 -0.02817583 2.81535032 2.07420594 -0.02289271 2.36121674 1.92604837 -0.01408668 1.79360765 1.77789081 -0.17609339 13.09854649 13.18412705 0.00000000 0.00000000 -26.20054919 3.82915955 -9.31643410 -40.91481647 -50.72082825 -79.61517654 98.05365195 89.99559364 0.00000000 0.00000000 38.30173235 -56.29152162 15.12600021 0.37225620 89.99559364 0.00000000 0.00000000
|
|
||||||
1.48333333 -0.50684508 7.70893580 -87.05962258 0.03126000 0.95874199 -0.64212294 15.46163518 -4.59227330 -26.95947570 25.90605466 0.45214595 5.36268867 11.26521035 0.00000000 17.94961767 2.43814434 -4.82012614 54.60071051 0.95296217 14.86885451 -19.05004327 0.00000000 -0.02831566 1.33171010 2.54374096 -0.05258500 1.77117443 2.70272477 -0.04651979 3.23791993 2.70272477 -0.03236196 3.23791993 2.22577334 -0.02629392 2.71562323 2.06678953 -0.01617957 2.06281894 1.90780572 -0.20225590 15.06457095 14.14752408 0.00000000 0.00000000 -25.49819378 5.22449817 -11.41689057 -36.48137360 -52.06020483 -79.35720505 92.70232457 89.99559364 0.00000000 0.00000000 48.35641557 -57.95336678 48.83274396 0.93502654 89.99559364 0.00000000 0.00000000
|
|
||||||
1.50000000 -2.96220624 15.67574210 -87.02240979 0.03659846 0.95009574 -0.62740914 22.52825674 -2.60996578 -28.24644216 24.49042431 0.42743854 3.68827985 12.13364248 0.00000000 26.01627018 2.17244130 -0.74213043 52.32391871 0.91322466 17.08091903 -19.13755789 0.00000000 -0.02084411 1.67673149 -1.20395745 -0.03870960 2.23005289 -1.27920479 -0.03424479 4.07680496 -1.27920479 -0.02382273 4.07680496 -1.05346277 -0.01935584 3.41919086 -0.97821543 -0.01191032 2.59725708 -0.90296809 -0.14888740 18.96752201 -6.69605015 0.00000000 0.00000000 -21.21104137 -7.59989365 5.04876305 2.45238104 -59.76455471 -38.07016023 90.41108740 89.99559364 0.00000000 0.00000000 -59.50787346 -41.19540243 -80.45164825 71.09920364 89.99559364 0.00000000 0.00000000
|
|
||||||
1.51666667 -7.14376960 18.22714778 -66.29718413 0.05214634 0.94701513 -0.67016714 27.06466219 -6.44556047 -39.28296127 24.74721603 0.43192040 0.31534143 2.22225793 0.00000000 38.88291038 8.67889057 14.51718396 56.31208681 0.98283132 13.90327462 -17.86807289 0.00000000 -0.00628570 2.08625340 -4.73805877 -0.01167317 2.77471702 -5.03418745 -0.01032678 5.07251651 -5.03418745 -0.00718393 5.07251651 -4.14580143 -0.00583690 4.25428793 -3.84967275 -0.00359165 3.23160651 -3.55354408 -0.04489812 23.60011568 -26.35166148 0.00000000 0.00000000 -14.97939317 -4.55932397 4.21219262 13.35746911 -56.48515156 -35.27654022 86.58073152 89.99559364 0.00000000 0.00000000 -56.53018615 -30.79588110 -103.49651507 73.17596775 89.99559364 0.00000000 0.00000000
|
|
||||||
1.53333333 -5.38906205 18.32762389 -68.26048707 0.05283051 0.94853071 -0.66655381 27.21419575 -8.27631083 -38.68858302 27.52552795 0.48041109 3.01820474 -1.34569861 0.00000000 40.45712363 10.96405790 16.78108743 56.42858647 0.98486463 14.54436084 -17.48095556 0.00000000 -0.00849714 1.98840364 -4.05955779 -0.01578004 2.64457685 -4.31328015 -0.01395995 4.83460462 -4.31328015 -0.00971138 4.83460462 -3.55211306 -0.00789044 4.05475271 -3.29839070 -0.00485527 3.08003725 -3.04466834 -0.06069421 22.49321971 -22.57804254 0.00000000 0.00000000 -16.60669542 -1.50845719 4.41489706 9.03752947 -54.66928157 -39.35919985 86.71301291 89.99559364 0.00000000 0.00000000 -57.08324718 -46.81638186 -93.63258284 75.49601916 89.99559364 0.00000000 0.00000000
|
|
||||||
1.55000000 -2.96139704 15.03420010 -67.06312148 0.05200479 0.95072308 -0.65962014 24.43010332 -9.17858997 -34.93141140 30.59975960 0.53406656 6.65528541 -10.99447141 0.00000000 38.28138399 13.05083745 17.70280263 54.11784005 0.94453449 14.70262689 -12.42815590 0.00000000 -0.03516420 1.82734372 -3.41327970 -0.06530344 2.43036714 -3.62660968 -0.05777127 4.44300352 -3.62660968 -0.04018917 4.44300352 -2.98661974 -0.03265348 3.72631931 -2.77328976 -0.02009283 2.83055542 -2.55995978 -0.25117440 20.67127761 -18.98363772 0.00000000 0.00000000 -19.96028610 0.35303200 -0.61680709 -0.80069470 -53.30296693 -48.07029731 86.59705478 89.99559364 0.00000000 0.00000000 -46.64728939 -56.91698139 -85.20727654 70.61691902 89.99559364 0.00000000 0.00000000
|
|
||||||
1.56666667 5.00295789 14.01955650 -97.25523171 0.03215668 0.94876149 -0.60919946 24.39319904 -9.67556575 -22.70024470 30.93305344 0.53988363 7.28958367 10.23582099 0.00000000 32.99952314 5.95929401 -5.95569257 48.17145886 0.84075056 21.29460309 -16.67547902 0.00000000 -0.03421752 1.14719485 1.27736903 -0.06354536 1.52576915 1.35720460 -0.05621597 2.78928956 1.35720460 -0.03910721 2.78928956 1.11769790 -0.03177439 2.33935974 1.03786234 -0.01955189 1.77700482 0.95802677 -0.24441233 12.97729757 7.10434335 0.00000000 0.00000000 -26.10672423 -0.31425227 0.51737681 -7.24765028 -52.06531074 -47.32792672 85.85360658 89.99559364 0.00000000 0.00000000 -42.37182697 -61.36726879 -83.55435215 70.48908429 89.99559364 0.00000000 0.00000000
|
|
||||||
1.58333333 -1.87358434 16.94739153 -73.95239002 0.04689004 0.95101979 -0.64575887 24.33275797 -9.46352245 -38.69701303 28.05622174 0.48967345 4.97674384 2.46592365 0.00000000 43.00572626 13.91223559 18.34270632 45.30047547 0.79064245 16.23588774 -16.69046449 0.00000000 -0.02869365 1.77430517 -2.60979632 -0.05328698 2.35982588 -2.77290859 -0.04714080 4.31404559 -2.77290859 -0.03279398 4.31404559 -2.28357178 -0.02664493 3.61816311 -2.12045951 -0.01639555 2.74839871 -1.95734724 -0.20495589 20.07129496 -14.51490419 0.00000000 0.00000000 -20.85666371 -1.82251530 -0.55363155 -0.29795090 -51.43616151 -43.50199813 84.46733786 89.99559364 0.00000000 0.00000000 -48.85216952 -60.98271634 -93.00382077 70.72810741 89.99559364 0.00000000 0.00000000
|
|
||||||
1.60000000 -0.44548521 16.44394454 -71.75135440 0.04841687 0.94951981 -0.63297874 26.81609829 -11.78534129 -31.74220180 36.49188554 0.63690355 0.09021961 -18.84921453 0.00000000 40.37367382 15.04060523 18.46132350 41.44991544 0.72343750 12.41864238 -12.81530456 0.00000000 -0.02199771 1.65164565 -3.27534310 -0.04085194 2.19668871 -3.48005204 -0.03614003 4.01581123 -3.48005204 -0.02514118 4.01581123 -2.86592521 -0.02042707 3.36803581 -2.66121627 -0.01256949 2.55839911 -2.45650733 -0.15712742 18.68374591 -18.21647572 0.00000000 0.00000000 -19.15041262 -2.90599242 -0.47189386 -2.11128200 -49.31267398 -43.50899000 86.10177795 89.99559364 0.00000000 0.00000000 -48.48573904 -62.08660557 -93.33657046 76.99424779 89.99559364 0.00000000 0.00000000
|
|
||||||
1.61666667 -0.79336725 16.96229903 -77.07569119 0.04575690 0.94972334 -0.62093704 24.36767679 -8.37627297 -32.07522863 29.52194059 0.51525506 7.36900956 -4.68843985 0.00000000 41.50936816 11.43457926 14.03819835 38.05975975 0.66426812 9.67506415 -18.99964542 0.00000000 -0.02012135 1.72642393 -2.46345369 -0.03736737 2.29614382 -2.61741954 -0.03305737 4.19762714 -2.61741954 -0.02299670 4.19762714 -2.15552198 -0.01868469 3.52052367 -2.00155612 -0.01149734 2.67423066 -1.84759026 -0.14372482 19.52965275 -13.70099037 0.00000000 0.00000000 -19.66233908 -3.79055146 -0.70736342 -2.19412650 -50.21628799 -41.05473110 86.14314544 89.99559364 0.00000000 0.00000000 -49.14886322 -60.86392425 -93.77379458 79.30692017 89.99559364 0.00000000 0.00000000
|
|
||||||
1.63333333 0.31534295 17.80440486 -81.43820690 0.04068842 0.94827056 -0.61128178 25.18942855 -7.81826950 -26.94753222 28.92716902 0.50487434 7.62231551 -2.51647491 0.00000000 43.42169996 10.45655891 11.28798175 34.62523200 0.60432430 16.24655649 -9.38208843 0.00000000 -0.01863959 1.67961745 -2.35745290 -0.03461559 2.23389120 -2.50479371 -0.03062299 4.08382186 -2.50479371 -0.02130319 4.08382186 -2.06277129 -0.01730873 3.42507590 -1.91543048 -0.01065066 2.60172742 -1.76808968 -0.13314076 19.00016847 -13.11144579 0.00000000 0.00000000 -19.36205671 -6.10172658 3.74987089 -0.41569437 -49.09324088 -38.24152982 86.78801793 89.99559364 0.00000000 0.00000000 -60.47836522 -52.07464564 -100.81684723 87.80061137 89.99559364 0.00000000 0.00000000
|
|
||||||
1.65000000 2.60391722 20.17779705 -85.30706678 0.02522233 0.95005208 -0.60540571 32.26387630 -7.10407573 -15.24056911 35.68254397 0.62277788 1.09896039 -16.43207667 0.00000000 42.86033329 10.32418332 13.95509874 26.37885230 0.46039783 10.16013719 -16.03353141 0.00000000 0.00744283 1.33939340 -2.67112047 0.01382209 1.78139322 -2.83806550 0.01222783 3.25660111 -2.83806550 0.00850642 3.25660111 -2.33723041 0.00691142 2.73129102 -2.17028538 0.00425284 2.07472038 -2.00334035 0.05316342 15.15148602 -14.85597073 0.00000000 0.00000000 -20.18723348 -5.68434080 8.95998498 5.92109687 -44.40115199 -31.22934600 85.87638166 89.99559364 0.00000000 0.00000000 -63.69282754 -46.69249339 -107.62453135 88.38662005 89.99559364 0.00000000 0.00000000
|
|
||||||
1.66666667 -1.11931463 19.91200253 -80.06663045 0.04323479 0.95351159 -0.57981109 27.58388586 -6.82383616 -24.30069857 32.01956940 0.55884691 1.56004953 -10.43974029 0.00000000 45.16317042 10.00031429 12.28502791 31.69933598 0.55325778 9.59316301 -5.56624133 0.00000000 0.00579825 1.74144976 -2.56339877 0.01076792 2.31612818 -2.72361119 0.00952594 4.23416094 -2.72361119 0.00662681 4.23416094 -2.24297392 0.00538425 3.55116435 -2.08276150 0.00331312 2.69750568 -1.92254908 0.04141629 19.69962796 -14.25685495 0.00000000 0.00000000 -16.59386023 -0.29002333 -0.86142507 -8.65924699 -47.39591667 -44.90422749 87.91349268 89.99559364 0.00000000 0.00000000 -55.63337307 -51.85111902 -103.17437136 93.26465103 89.99559364 0.00000000 0.00000000
|
|
@ -1,111 +0,0 @@
|
|||||||
Coordinates
|
|
||||||
version=1
|
|
||||||
nRows=100
|
|
||||||
nColumns=63
|
|
||||||
inDegrees=yes
|
|
||||||
|
|
||||||
Units are S.I. units (second, meters, Newtons, ...)
|
|
||||||
If the header above contains a line with 'inDegrees', this indicates whether rotational values are in degrees (yes) or radians (no).
|
|
||||||
|
|
||||||
endheader
|
|
||||||
time pelvis_tilt pelvis_list pelvis_rotation pelvis_tx pelvis_ty pelvis_tz hip_flexion_r hip_adduction_r hip_rotation_r knee_angle_r knee_angle_r_beta ankle_angle_r subtalar_angle_r mtp_angle_r hip_flexion_l hip_adduction_l hip_rotation_l knee_angle_l knee_angle_l_beta ankle_angle_l subtalar_angle_l mtp_angle_l L5_S1_Flex_Ext L5_S1_Lat_Bending L5_S1_axial_rotation L4_L5_Flex_Ext L4_L5_Lat_Bending L4_L5_axial_rotation L3_L4_Flex_Ext L3_L4_Lat_Bending L3_L4_axial_rotation L2_L3_Flex_Ext L2_L3_Lat_Bending L2_L3_axial_rotation L1_L2_Flex_Ext L1_L2_Lat_Bending L1_L2_axial_rotation L1_T12_Flex_Ext L1_T12_Lat_Bending L1_T12_axial_rotation Abs_r3 Abs_r2 Abs_r1 Abs_t1 Abs_t2 neck_flexion neck_bending neck_rotation arm_flex_r arm_add_r arm_rot_r elbow_flex_r pro_sup_r wrist_flex_r wrist_dev_r arm_flex_l arm_add_l arm_rot_l elbow_flex_l pro_sup_l wrist_flex_l wrist_dev_l
|
|
||||||
0.01666667 -0.33315936 4.10223252 -74.27432913 0.03441694 0.95240791 -1.35869863 0.49276232 5.60870043 -35.92777672 20.19465611 0.35246324 19.37084575 -10.98615345 0.00000000 29.96129142 16.20431392 29.27030661 16.51516336 0.28824398 -18.34396882 -18.62203430 0.00000000 -0.02149295 0.42379958 -1.69659312 -0.03991455 0.56365344 -1.80263019 -0.03531076 1.03042630 -1.80263019 -0.02456429 1.03042630 -1.48451898 -0.01995835 0.86421211 -1.37848191 -0.01228107 0.65646555 -1.27244484 -0.15352198 4.79410562 -9.43594194 0.00000000 0.00000000 -10.48983194 4.89742571 -13.54513247 -20.24885899 -20.93048315 -28.92068044 49.68760950 89.99559364 0.00000000 0.00000000 -6.86763388 -23.79114747 20.00730385 24.22499177 89.99559364 0.00000000 0.00000000
|
|
||||||
0.03333333 -0.90982597 3.18533366 -76.54946292 0.02934133 0.95275285 -1.34895365 -1.14762294 6.90319837 -33.38979163 19.59341776 0.34196965 18.79326426 -10.65865482 0.00000000 29.86309153 14.36311410 24.84654450 19.24330128 0.33585897 -16.52855606 -16.80442187 0.00000000 -0.02443789 0.40225100 -1.81016773 -0.04538360 0.53499383 -1.92330322 -0.04014901 0.97803309 -1.92330322 -0.02793006 0.97803309 -1.58389677 -0.02269302 0.82027024 -1.47076128 -0.01396381 0.62308680 -1.35762580 -0.17455739 4.55034378 -10.06760988 0.00000000 0.00000000 -12.67568586 3.78777676 -8.78058483 -19.09893344 -22.49724053 -25.31202822 51.54662144 89.99559364 0.00000000 0.00000000 -7.33319019 -24.15548613 19.15445345 23.16622658 89.99559364 0.00000000 0.00000000
|
|
||||||
0.05000000 -1.46791419 2.41760578 -78.40048770 0.02431494 0.95322184 -1.33932157 -2.73365190 8.12520595 -30.89904824 18.89426690 0.32976717 18.20645469 -10.80069559 0.00000000 30.19747137 12.01450683 17.33100889 22.13327044 0.38629844 -13.41112681 -9.68436924 0.00000000 -0.02649716 0.36552515 -1.85179266 -0.04920787 0.48614844 -1.96752970 -0.04353218 0.88873784 -1.96752970 -0.03028360 0.88873784 -1.62031857 -0.02460526 0.74537888 -1.50458153 -0.01514048 0.56619845 -1.38884449 -0.18926655 4.13489355 -10.29911522 0.00000000 0.00000000 -14.30919221 3.02637255 -5.35085391 -18.22228725 -23.78322322 -22.44245858 53.30823501 89.99559364 0.00000000 0.00000000 -7.36972805 -24.64325456 18.43381667 22.17746995 89.99559364 0.00000000 0.00000000
|
|
||||||
0.06666667 -2.01065848 1.92988518 -79.72595068 0.01983950 0.95385910 -1.32933649 -4.09034633 9.18841966 -28.86291739 18.22458076 0.31807894 17.61491486 -11.00117059 0.00000000 30.64011692 9.51308284 9.80746405 24.80117477 0.43286216 -11.07327150 -1.86511213 0.00000000 -0.02741179 0.31314215 -1.71006003 -0.05090644 0.41647905 -1.81693878 -0.04503483 0.76137381 -1.81693878 -0.03132894 0.76137381 -1.49630252 -0.02545459 0.63855946 -1.38942377 -0.01566310 0.48505718 -1.28254502 -0.19579968 3.54232659 -9.51084085 0.00000000 0.00000000 -15.25459992 2.84834628 -4.19688885 -18.24170370 -24.51060600 -21.57713950 55.06785644 89.99559364 0.00000000 0.00000000 -6.55266470 -25.15348578 17.91847785 21.34433596 89.99559364 0.00000000 0.00000000
|
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@ -1,17 +0,0 @@
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PathFileType 4 (X/Y/Z) S00_P00_T00_StaticTrial_0-12.trc
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DataRate CameraRate NumFrames NumMarkers Units OrigDataRate OrigDataStartFrame OrigNumFrames
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|
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60 60 12 21 m 60 0 12
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Frame# Time RHip RKnee RAnkle RBigToe RSmallToe RHeel LHip LKnee LAnkle LBigToe LSmallToe LHeel Neck Head Nose RShoulder RElbow RWrist LShoulder LElbow LWrist
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X1 Y1 Z1 X2 Y2 Z2 X3 Y3 Z3 X4 Y4 Z4 X5 Y5 Z5 X6 Y6 Z6 X7 Y7 Z7 X8 Y8 Z8 X9 Y9 Z9 X10 Y10 Z10 X11 Y11 Z11 X12 Y12 Z12 X13 Y13 Z13 X14 Y14 Z14 X15 Y15 Z15 X16 Y16 Z16 X17 Y17 Z17 X18 Y18 Z18 X19 Y19 Z19 X20 Y20 Z20 X21 Y21 Z21
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|
||||||
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4 0.06666666666666667 -0.08058929090227669 0.8696950332650175 0.07616397712720875 -0.09062396992529709 0.5027125987699388 0.053815664751651754 -0.08348510484278128 0.11873254569531715 0.056523881987492315 0.10932791883931053 0.033444095416829175 0.03574741457702558 0.07248983335710343 0.0330620742022174 0.07875225368890343 -0.11760879369690265 0.047451893916352274 0.046342262659457616 -0.08119480911121872 0.8696061657045612 -0.1349326287978281 -0.09131718923675154 0.5024873911329983 -0.12335261295489103 -0.08442033381266927 0.11837364921704997 -0.1374416925010638 0.10857362727170179 0.0330958675440299 -0.11707336893692397 0.07130430714843262 0.03253248587808652 -0.16054431759329563 -0.1184856407914993 0.047124908972131896 -0.12976395417015346 -0.11433658091277044 1.4866114990895252 -0.023449884506625357 -0.03715305447810577 1.7080697552316926 0.0023489874129097657 -0.007947310066847955 1.5820735921196272 -0.02165586933768429 -0.1254425869499148 1.4065244957439884 0.1775577049726504 -0.08348187441862756 1.1655200498791973 0.30777720913591766 -0.10309240416673067 0.9809612674140527 0.44940349727333995 -0.12592189367116652 1.407115065039762 -0.22679012550238412 -0.06355728043185781 1.169064538629958 -0.3607828888380723 -0.06823467675436756 0.9830199237181226 -0.5087828293513996
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7 0.11666666666666667 -0.08058929090227669 0.8696950332650175 0.07616397712720875 -0.09062396992529709 0.5027125987699388 0.053815664751651754 -0.08348510484278128 0.11873254569531715 0.056523881987492315 0.10932791883931053 0.033444095416829175 0.03574741457702558 0.07248983335710343 0.0330620742022174 0.07875225368890343 -0.11760879369690265 0.047451893916352274 0.046342262659457616 -0.08119480911121872 0.8696061657045612 -0.1349326287978281 -0.09131718923675154 0.5024873911329983 -0.12335261295489103 -0.08442033381266927 0.11837364921704997 -0.1374416925010638 0.10857362727170179 0.0330958675440299 -0.11707336893692397 0.07130430714843262 0.03253248587808652 -0.16054431759329563 -0.1184856407914993 0.047124908972131896 -0.12976395417015346 -0.11433658091277044 1.4866114990895252 -0.023449884506625357 -0.03715305447810577 1.7080697552316926 0.0023489874129097657 -0.007947310066847955 1.5820735921196272 -0.02165586933768429 -0.1254425869499148 1.4065244957439884 0.1775577049726504 -0.08348187441862756 1.1655200498791973 0.30777720913591766 -0.10309240416673067 0.9809612674140527 0.44940349727333995 -0.12592189367116652 1.407115065039762 -0.22679012550238412 -0.06355728043185781 1.169064538629958 -0.3607828888380723 -0.06823467675436756 0.9830199237181226 -0.5087828293513996
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|
||||||
8 0.13333333333333333 -0.08058929090227669 0.8696950332650175 0.07616397712720875 -0.09062396992529709 0.5027125987699388 0.053815664751651754 -0.08348510484278128 0.11873254569531715 0.056523881987492315 0.10932791883931053 0.033444095416829175 0.03574741457702558 0.07248983335710343 0.0330620742022174 0.07875225368890343 -0.11760879369690265 0.047451893916352274 0.046342262659457616 -0.08119480911121872 0.8696061657045612 -0.1349326287978281 -0.09131718923675154 0.5024873911329983 -0.12335261295489103 -0.08442033381266927 0.11837364921704997 -0.1374416925010638 0.10857362727170179 0.0330958675440299 -0.11707336893692397 0.07130430714843262 0.03253248587808652 -0.16054431759329563 -0.1184856407914993 0.047124908972131896 -0.12976395417015346 -0.11433658091277044 1.4866114990895252 -0.023449884506625357 -0.03715305447810577 1.7080697552316926 0.0023489874129097657 -0.007947310066847955 1.5820735921196272 -0.02165586933768429 -0.1254425869499148 1.4065244957439884 0.1775577049726504 -0.08348187441862756 1.1655200498791973 0.30777720913591766 -0.10309240416673067 0.9809612674140527 0.44940349727333995 -0.12592189367116652 1.407115065039762 -0.22679012550238412 -0.06355728043185781 1.169064538629958 -0.3607828888380723 -0.06823467675436756 0.9830199237181226 -0.5087828293513996
|
|
||||||
9 0.15 -0.08058929090227669 0.8696950332650175 0.07616397712720875 -0.09062396992529709 0.5027125987699388 0.053815664751651754 -0.08348510484278128 0.11873254569531715 0.056523881987492315 0.10932791883931053 0.033444095416829175 0.03574741457702558 0.07248983335710343 0.0330620742022174 0.07875225368890343 -0.11760879369690265 0.047451893916352274 0.046342262659457616 -0.08119480911121872 0.8696061657045612 -0.1349326287978281 -0.09131718923675154 0.5024873911329983 -0.12335261295489103 -0.08442033381266927 0.11837364921704997 -0.1374416925010638 0.10857362727170179 0.0330958675440299 -0.11707336893692397 0.07130430714843262 0.03253248587808652 -0.16054431759329563 -0.1184856407914993 0.047124908972131896 -0.12976395417015346 -0.11433658091277044 1.4866114990895252 -0.023449884506625357 -0.03715305447810577 1.7080697552316926 0.0023489874129097657 -0.007947310066847955 1.5820735921196272 -0.02165586933768429 -0.1254425869499148 1.4065244957439884 0.1775577049726504 -0.08348187441862756 1.1655200498791973 0.30777720913591766 -0.10309240416673067 0.9809612674140527 0.44940349727333995 -0.12592189367116652 1.407115065039762 -0.22679012550238412 -0.06355728043185781 1.169064538629958 -0.3607828888380723 -0.06823467675436756 0.9830199237181226 -0.5087828293513996
|
|
||||||
10 0.16666666666666666 -0.08058929090227669 0.8696950332650175 0.07616397712720875 -0.09062396992529709 0.5027125987699388 0.053815664751651754 -0.08348510484278128 0.11873254569531715 0.056523881987492315 0.10932791883931053 0.033444095416829175 0.03574741457702558 0.07248983335710343 0.0330620742022174 0.07875225368890343 -0.11760879369690265 0.047451893916352274 0.046342262659457616 -0.08119480911121872 0.8696061657045612 -0.1349326287978281 -0.09131718923675154 0.5024873911329983 -0.12335261295489103 -0.08442033381266927 0.11837364921704997 -0.1374416925010638 0.10857362727170179 0.0330958675440299 -0.11707336893692397 0.07130430714843262 0.03253248587808652 -0.16054431759329563 -0.1184856407914993 0.047124908972131896 -0.12976395417015346 -0.11433658091277044 1.4866114990895252 -0.023449884506625357 -0.03715305447810577 1.7080697552316926 0.0023489874129097657 -0.007947310066847955 1.5820735921196272 -0.02165586933768429 -0.1254425869499148 1.4065244957439884 0.1775577049726504 -0.08348187441862756 1.1655200498791973 0.30777720913591766 -0.10309240416673067 0.9809612674140527 0.44940349727333995 -0.12592189367116652 1.407115065039762 -0.22679012550238412 -0.06355728043185781 1.169064538629958 -0.3607828888380723 -0.06823467675436756 0.9830199237181226 -0.5087828293513996
|
|
||||||
11 0.18333333333333332 -0.08058929090227669 0.8696950332650175 0.07616397712720875 -0.09062396992529709 0.5027125987699388 0.053815664751651754 -0.08348510484278128 0.11873254569531715 0.056523881987492315 0.10932791883931053 0.033444095416829175 0.03574741457702558 0.07248983335710343 0.0330620742022174 0.07875225368890343 -0.11760879369690265 0.047451893916352274 0.046342262659457616 -0.08119480911121872 0.8696061657045612 -0.1349326287978281 -0.09131718923675154 0.5024873911329983 -0.12335261295489103 -0.08442033381266927 0.11837364921704997 -0.1374416925010638 0.10857362727170179 0.0330958675440299 -0.11707336893692397 0.07130430714843262 0.03253248587808652 -0.16054431759329563 -0.1184856407914993 0.047124908972131896 -0.12976395417015346 -0.11433658091277044 1.4866114990895252 -0.023449884506625357 -0.03715305447810577 1.7080697552316926 0.0023489874129097657 -0.007947310066847955 1.5820735921196272 -0.02165586933768429 -0.1254425869499148 1.4065244957439884 0.1775577049726504 -0.08348187441862756 1.1655200498791973 0.30777720913591766 -0.10309240416673067 0.9809612674140527 0.44940349727333995 -0.12592189367116652 1.407115065039762 -0.22679012550238412 -0.06355728043185781 1.169064538629958 -0.3607828888380723 -0.06823467675436756 0.9830199237181226 -0.5087828293513996
|
|
||||||
12 0.2 -0.08058929090227669 0.8696950332650175 0.07616397712720875 -0.09062396992529709 0.5027125987699388 0.053815664751651754 -0.08348510484278128 0.11873254569531715 0.056523881987492315 0.10932791883931053 0.033444095416829175 0.03574741457702558 0.07248983335710343 0.0330620742022174 0.07875225368890343 -0.11760879369690265 0.047451893916352274 0.046342262659457616 -0.08119480911121872 0.8696061657045612 -0.1349326287978281 -0.09131718923675154 0.5024873911329983 -0.12335261295489103 -0.08442033381266927 0.11837364921704997 -0.1374416925010638 0.10857362727170179 0.0330958675440299 -0.11707336893692397 0.07130430714843262 0.03253248587808652 -0.16054431759329563 -0.1184856407914993 0.047124908972131896 -0.12976395417015346 -0.11433658091277044 1.4866114990895252 -0.023449884506625357 -0.03715305447810577 1.7080697552316926 0.0023489874129097657 -0.007947310066847955 1.5820735921196272 -0.02165586933768429 -0.1254425869499148 1.4065244957439884 0.1775577049726504 -0.08348187441862756 1.1655200498791973 0.30777720913591766 -0.10309240416673067 0.9809612674140527 0.44940349727333995 -0.12592189367116652 1.407115065039762 -0.22679012550238412 -0.06355728043185781 1.169064538629958 -0.3607828888380723 -0.06823467675436756 0.9830199237181226 -0.5087828293513996
|
|
@ -1,17 +0,0 @@
|
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PathFileType 4 (X/Y/Z) S00_P00_T00_StaticTrial_0-12.trc
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DataRate CameraRate NumFrames NumMarkers Units OrigDataRate OrigDataStartFrame OrigNumFrames
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60 60 12 21 m 60 0 12
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Frame# Time RHip RKnee RAnkle RBigToe RSmallToe RHeel LHip LKnee LAnkle LBigToe LSmallToe LHeel Neck Head Nose RShoulder RElbow RWrist LShoulder LElbow LWrist
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X1 Y1 Z1 X2 Y2 Z2 X3 Y3 Z3 X4 Y4 Z4 X5 Y5 Z5 X6 Y6 Z6 X7 Y7 Z7 X8 Y8 Z8 X9 Y9 Z9 X10 Y10 Z10 X11 Y11 Z11 X12 Y12 Z12 X13 Y13 Z13 X14 Y14 Z14 X15 Y15 Z15 X16 Y16 Z16 X17 Y17 Z17 X18 Y18 Z18 X19 Y19 Z19 X20 Y20 Z20 X21 Y21 Z21
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|
||||||
1 0.0166666666666666 -0.08058929090227662 0.8696950332650172 0.07616397712720867 -0.09062396992529695 0.5027125987699388 0.053815664751651685 -0.08348510484278117 0.11873254569531708 0.05652388198749228 0.10932791883931045 0.033444095416829085 0.03574741457702548 0.0724898333571034 0.033062074202217386 0.07875225368890336 -0.11760879369690255 0.047451893916352184 0.04634226265945759 -0.0811948091112187 0.8696061657045608 -0.134932628797828 -0.09131718923675151 0.5024873911329985 -0.12335261295489092 -0.08442033381266921 0.11837364921704989 -0.13744169250106375 0.10857362727170167 0.033095867544029885 -0.1170733689369239 0.0713043071484326 0.032532485878086485 -0.16054431759329554 -0.11848564079149927 0.047124908972131785 -0.1297639541701534 -0.11433658091277037 1.4866114990895252 -0.02344988450662529 -0.037153054478105685 1.7080697552316917 0.0023489874129097 -0.007947310066847896 1.5820735921196263 -0.021655869337684187 -0.12544258694991473 1.406524495743988 0.17755770497265028 -0.08348187441862746 1.1655200498791973 0.30777720913591755 -0.10309240416673054 0.9809612674140525 0.44940349727333967 -0.12592189367116643 1.407115065039762 -0.22679012550238403 -0.06355728043185781 1.1690645386299576 -0.3607828888380721 -0.0682346767543675 0.9830199237181223 -0.5087828293513995
|
|
||||||
2 0.0333333333333333 -0.08058929090227662 0.8696950332650172 0.07616397712720867 -0.09062396992529695 0.5027125987699388 0.053815664751651685 -0.08348510484278117 0.11873254569531708 0.05652388198749228 0.10932791883931045 0.033444095416829085 0.03574741457702548 0.0724898333571034 0.033062074202217386 0.07875225368890336 -0.11760879369690255 0.047451893916352184 0.04634226265945759 -0.0811948091112187 0.8696061657045608 -0.134932628797828 -0.09131718923675151 0.5024873911329985 -0.12335261295489092 -0.08442033381266921 0.11837364921704989 -0.13744169250106375 0.10857362727170167 0.033095867544029885 -0.11707336893692388 0.0713043071484326 0.032532485878086485 -0.16054431759329554 -0.11848564079149927 0.047124908972131785 -0.1297639541701534 -0.11433658091277037 1.4866114990895252 -0.02344988450662529 -0.037153054478105685 1.7080697552316917 0.0023489874129097 -0.007947310066847896 1.5820735921196263 -0.021655869337684187 -0.12544258694991473 1.406524495743988 0.17755770497265028 -0.08348187441862746 1.1655200498791973 0.30777720913591755 -0.10309240416673054 0.9809612674140525 0.44940349727333967 -0.12592189367116643 1.407115065039762 -0.22679012550238403 -0.06355728043185781 1.1690645386299576 -0.3607828888380721 -0.0682346767543675 0.9830199237181223 -0.5087828293513995
|
|
||||||
3 0.05 -0.08058929090227662 0.8696950332650172 0.07616397712720867 -0.09062396992529695 0.5027125987699388 0.053815664751651685 -0.08348510484278117 0.11873254569531706 0.056523881987492273 0.10932791883931045 0.033444095416829085 0.03574741457702548 0.0724898333571034 0.033062074202217386 0.07875225368890336 -0.11760879369690255 0.047451893916352184 0.04634226265945759 -0.0811948091112187 0.8696061657045608 -0.134932628797828 -0.09131718923675151 0.5024873911329985 -0.12335261295489092 -0.08442033381266921 0.11837364921704989 -0.13744169250106375 0.10857362727170167 0.033095867544029885 -0.11707336893692388 0.0713043071484326 0.032532485878086485 -0.16054431759329554 -0.11848564079149927 0.047124908972131785 -0.1297639541701534 -0.11433658091277035 1.4866114990895252 -0.02344988450662529 -0.037153054478105685 1.7080697552316917 0.0023489874129097 -0.007947310066847896 1.5820735921196263 -0.021655869337684187 -0.12544258694991473 1.406524495743988 0.17755770497265028 -0.08348187441862746 1.1655200498791973 0.30777720913591755 -0.10309240416673054 0.9809612674140525 0.44940349727333967 -0.12592189367116643 1.407115065039762 -0.226790125502384 -0.06355728043185781 1.1690645386299576 -0.3607828888380721 -0.0682346767543675 0.9830199237181223 -0.5087828293513995
|
|
||||||
4 0.0666666666666666 -0.08058929090227662 0.8696950332650172 0.07616397712720867 -0.09062396992529695 0.5027125987699388 0.053815664751651685 -0.08348510484278117 0.11873254569531706 0.056523881987492273 0.10932791883931045 0.033444095416829085 0.03574741457702548 0.0724898333571034 0.033062074202217386 0.07875225368890336 -0.11760879369690255 0.047451893916352184 0.04634226265945759 -0.0811948091112187 0.8696061657045608 -0.134932628797828 -0.09131718923675151 0.5024873911329985 -0.12335261295489092 -0.08442033381266921 0.11837364921704989 -0.13744169250106375 0.10857362727170167 0.033095867544029885 -0.1170733689369239 0.0713043071484326 0.032532485878086485 -0.16054431759329554 -0.11848564079149927 0.047124908972131785 -0.1297639541701534 -0.11433658091277035 1.4866114990895252 -0.02344988450662529 -0.037153054478105685 1.7080697552316917 0.0023489874129097 -0.007947310066847896 1.5820735921196263 -0.021655869337684187 -0.12544258694991473 1.406524495743988 0.17755770497265028 -0.08348187441862746 1.1655200498791973 0.30777720913591755 -0.10309240416673054 0.9809612674140525 0.44940349727333967 -0.12592189367116643 1.407115065039762 -0.226790125502384 -0.06355728043185781 1.1690645386299576 -0.3607828888380721 -0.0682346767543675 0.9830199237181223 -0.5087828293513995
|
|
||||||
5 0.0833333333333333 -0.08058929090227662 0.8696950332650172 0.07616397712720867 -0.09062396992529695 0.5027125987699388 0.053815664751651685 -0.08348510484278117 0.11873254569531708 0.05652388198749228 0.10932791883931045 0.033444095416829085 0.03574741457702548 0.0724898333571034 0.033062074202217386 0.07875225368890336 -0.11760879369690255 0.047451893916352184 0.04634226265945759 -0.0811948091112187 0.8696061657045608 -0.134932628797828 -0.09131718923675151 0.5024873911329985 -0.12335261295489092 -0.08442033381266921 0.11837364921704989 -0.13744169250106375 0.10857362727170167 0.033095867544029885 -0.1170733689369239 0.0713043071484326 0.032532485878086485 -0.16054431759329554 -0.11848564079149927 0.047124908972131785 -0.1297639541701534 -0.11433658091277037 1.4866114990895252 -0.02344988450662529 -0.037153054478105685 1.7080697552316917 0.0023489874129097 -0.007947310066847896 1.5820735921196263 -0.021655869337684187 -0.12544258694991473 1.406524495743988 0.17755770497265028 -0.08348187441862746 1.1655200498791973 0.30777720913591755 -0.10309240416673054 0.9809612674140525 0.44940349727333967 -0.12592189367116643 1.407115065039762 -0.22679012550238403 -0.06355728043185781 1.1690645386299576 -0.3607828888380721 -0.0682346767543675 0.9830199237181223 -0.5087828293513995
|
|
||||||
6 0.1 -0.08058929090227662 0.8696950332650172 0.07616397712720867 -0.09062396992529695 0.5027125987699388 0.053815664751651685 -0.08348510484278117 0.11873254569531708 0.05652388198749228 0.10932791883931045 0.033444095416829085 0.03574741457702548 0.0724898333571034 0.033062074202217386 0.07875225368890336 -0.11760879369690255 0.047451893916352184 0.04634226265945759 -0.0811948091112187 0.8696061657045608 -0.134932628797828 -0.09131718923675151 0.5024873911329985 -0.12335261295489092 -0.08442033381266921 0.11837364921704989 -0.13744169250106375 0.10857362727170167 0.033095867544029885 -0.11707336893692388 0.0713043071484326 0.032532485878086485 -0.16054431759329554 -0.11848564079149927 0.047124908972131785 -0.1297639541701534 -0.11433658091277037 1.4866114990895252 -0.02344988450662529 -0.037153054478105685 1.7080697552316917 0.0023489874129097 -0.007947310066847896 1.5820735921196263 -0.021655869337684187 -0.12544258694991473 1.406524495743988 0.17755770497265028 -0.08348187441862746 1.1655200498791973 0.30777720913591755 -0.10309240416673054 0.9809612674140525 0.44940349727333967 -0.12592189367116643 1.407115065039762 -0.22679012550238403 -0.06355728043185781 1.1690645386299576 -0.3607828888380721 -0.0682346767543675 0.9830199237181223 -0.5087828293513995
|
|
||||||
7 0.1166666666666666 -0.08058929090227662 0.8696950332650172 0.07616397712720867 -0.09062396992529695 0.5027125987699388 0.053815664751651685 -0.08348510484278117 0.11873254569531706 0.056523881987492273 0.10932791883931045 0.033444095416829085 0.03574741457702548 0.0724898333571034 0.033062074202217386 0.07875225368890336 -0.11760879369690255 0.047451893916352184 0.04634226265945759 -0.0811948091112187 0.8696061657045608 -0.134932628797828 -0.09131718923675151 0.5024873911329985 -0.12335261295489092 -0.08442033381266921 0.11837364921704989 -0.13744169250106375 0.10857362727170167 0.033095867544029885 -0.11707336893692388 0.0713043071484326 0.032532485878086485 -0.16054431759329554 -0.11848564079149927 0.047124908972131785 -0.1297639541701534 -0.11433658091277035 1.4866114990895252 -0.02344988450662529 -0.037153054478105685 1.7080697552316917 0.0023489874129097 -0.007947310066847896 1.5820735921196263 -0.021655869337684187 -0.12544258694991473 1.406524495743988 0.17755770497265028 -0.08348187441862746 1.1655200498791973 0.30777720913591755 -0.10309240416673054 0.9809612674140525 0.44940349727333967 -0.12592189367116643 1.407115065039762 -0.226790125502384 -0.06355728043185781 1.1690645386299576 -0.3607828888380721 -0.0682346767543675 0.9830199237181223 -0.5087828293513995
|
|
||||||
8 0.1333333333333333 -0.08058929090227662 0.8696950332650172 0.07616397712720867 -0.09062396992529695 0.5027125987699388 0.053815664751651685 -0.08348510484278117 0.11873254569531706 0.056523881987492273 0.10932791883931045 0.033444095416829085 0.03574741457702548 0.0724898333571034 0.033062074202217386 0.07875225368890336 -0.11760879369690255 0.047451893916352184 0.04634226265945759 -0.0811948091112187 0.8696061657045608 -0.134932628797828 -0.09131718923675151 0.5024873911329985 -0.12335261295489092 -0.08442033381266921 0.11837364921704989 -0.13744169250106375 0.10857362727170167 0.033095867544029885 -0.1170733689369239 0.0713043071484326 0.032532485878086485 -0.16054431759329554 -0.11848564079149927 0.047124908972131785 -0.1297639541701534 -0.11433658091277035 1.4866114990895252 -0.02344988450662529 -0.037153054478105685 1.7080697552316917 0.0023489874129097 -0.007947310066847896 1.5820735921196263 -0.021655869337684187 -0.12544258694991473 1.406524495743988 0.17755770497265028 -0.08348187441862746 1.1655200498791973 0.30777720913591755 -0.10309240416673054 0.9809612674140525 0.44940349727333967 -0.12592189367116643 1.407115065039762 -0.226790125502384 -0.06355728043185781 1.1690645386299576 -0.3607828888380721 -0.0682346767543675 0.9830199237181223 -0.5087828293513995
|
|
||||||
9 0.15 -0.08058929090227662 0.8696950332650172 0.07616397712720867 -0.09062396992529695 0.5027125987699388 0.053815664751651685 -0.08348510484278117 0.11873254569531708 0.05652388198749228 0.10932791883931045 0.033444095416829085 0.03574741457702548 0.0724898333571034 0.033062074202217386 0.07875225368890336 -0.11760879369690255 0.047451893916352184 0.04634226265945759 -0.0811948091112187 0.8696061657045608 -0.134932628797828 -0.09131718923675151 0.5024873911329985 -0.12335261295489092 -0.08442033381266921 0.11837364921704989 -0.13744169250106375 0.10857362727170167 0.033095867544029885 -0.1170733689369239 0.0713043071484326 0.032532485878086485 -0.16054431759329554 -0.11848564079149927 0.047124908972131785 -0.1297639541701534 -0.11433658091277037 1.4866114990895252 -0.02344988450662529 -0.037153054478105685 1.7080697552316917 0.0023489874129097 -0.007947310066847896 1.5820735921196263 -0.021655869337684187 -0.12544258694991473 1.406524495743988 0.17755770497265028 -0.08348187441862746 1.1655200498791973 0.30777720913591755 -0.10309240416673054 0.9809612674140525 0.44940349727333967 -0.12592189367116643 1.407115065039762 -0.22679012550238403 -0.06355728043185781 1.1690645386299576 -0.3607828888380721 -0.0682346767543675 0.9830199237181223 -0.5087828293513995
|
|
||||||
10 0.1666666666666666 -0.08058929090227662 0.8696950332650172 0.07616397712720867 -0.09062396992529695 0.5027125987699388 0.053815664751651685 -0.08348510484278117 0.11873254569531708 0.05652388198749228 0.10932791883931045 0.033444095416829085 0.03574741457702548 0.0724898333571034 0.033062074202217386 0.07875225368890336 -0.11760879369690255 0.047451893916352184 0.04634226265945759 -0.0811948091112187 0.8696061657045608 -0.134932628797828 -0.09131718923675151 0.5024873911329985 -0.12335261295489092 -0.08442033381266921 0.11837364921704989 -0.13744169250106375 0.10857362727170167 0.033095867544029885 -0.11707336893692388 0.0713043071484326 0.032532485878086485 -0.16054431759329554 -0.11848564079149927 0.047124908972131785 -0.1297639541701534 -0.11433658091277037 1.4866114990895252 -0.02344988450662529 -0.037153054478105685 1.7080697552316917 0.0023489874129097 -0.007947310066847896 1.5820735921196263 -0.021655869337684187 -0.12544258694991473 1.406524495743988 0.17755770497265028 -0.08348187441862746 1.1655200498791973 0.30777720913591755 -0.10309240416673054 0.9809612674140525 0.44940349727333967 -0.12592189367116643 1.407115065039762 -0.22679012550238403 -0.06355728043185781 1.1690645386299576 -0.3607828888380721 -0.0682346767543675 0.9830199237181223 -0.5087828293513995
|
|
||||||
11 0.1833333333333333 -0.08058929090227662 0.8696950332650172 0.07616397712720867 -0.09062396992529695 0.5027125987699388 0.053815664751651685 -0.08348510484278117 0.11873254569531706 0.056523881987492273 0.10932791883931045 0.033444095416829085 0.03574741457702548 0.0724898333571034 0.033062074202217386 0.07875225368890336 -0.11760879369690255 0.047451893916352184 0.04634226265945759 -0.0811948091112187 0.8696061657045608 -0.134932628797828 -0.09131718923675151 0.5024873911329985 -0.12335261295489092 -0.08442033381266921 0.11837364921704989 -0.13744169250106375 0.10857362727170167 0.033095867544029885 -0.11707336893692388 0.0713043071484326 0.032532485878086485 -0.16054431759329554 -0.11848564079149927 0.047124908972131785 -0.1297639541701534 -0.11433658091277035 1.4866114990895252 -0.02344988450662529 -0.037153054478105685 1.7080697552316917 0.0023489874129097 -0.007947310066847896 1.5820735921196263 -0.021655869337684187 -0.12544258694991473 1.406524495743988 0.17755770497265028 -0.08348187441862746 1.1655200498791973 0.30777720913591755 -0.10309240416673054 0.9809612674140525 0.44940349727333967 -0.12592189367116643 1.407115065039762 -0.226790125502384 -0.06355728043185781 1.1690645386299576 -0.3607828888380721 -0.0682346767543675 0.9830199237181223 -0.5087828293513995
|
|
||||||
12 0.2 -0.08058929090227662 0.8696950332650172 0.07616397712720867 -0.09062396992529695 0.5027125987699388 0.053815664751651685 -0.08348510484278117 0.11873254569531706 0.056523881987492273 0.10932791883931045 0.033444095416829085 0.03574741457702548 0.0724898333571034 0.033062074202217386 0.07875225368890336 -0.11760879369690255 0.047451893916352184 0.04634226265945759 -0.0811948091112187 0.8696061657045608 -0.134932628797828 -0.09131718923675151 0.5024873911329985 -0.12335261295489092 -0.08442033381266921 0.11837364921704989 -0.13744169250106375 0.10857362727170167 0.033095867544029885 -0.1170733689369239 0.0713043071484326 0.032532485878086485 -0.16054431759329554 -0.11848564079149927 0.047124908972131785 -0.1297639541701534 -0.11433658091277035 1.4866114990895252 -0.02344988450662529 -0.037153054478105685 1.7080697552316917 0.0023489874129097 -0.007947310066847896 1.5820735921196263 -0.021655869337684187 -0.12544258694991473 1.406524495743988 0.17755770497265028 -0.08348187441862746 1.1655200498791973 0.30777720913591755 -0.10309240416673054 0.9809612674140525 0.44940349727333967 -0.12592189367116643 1.407115065039762 -0.226790125502384 -0.06355728043185781 1.1690645386299576 -0.3607828888380721 -0.0682346767543675 0.9830199237181223 -0.5087828293513995
|
|
@ -1,105 +0,0 @@
|
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PathFileType 4 (X/Y/Z) S00_P00_T01_BalancingTrial_0-100.trc
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DataRate CameraRate NumFrames NumMarkers Units OrigDataRate OrigDataStartFrame OrigNumFrames
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60 60 100 21 m 60 0 100
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Frame# Time RHip RKnee RAnkle RBigToe RSmallToe RHeel LHip LKnee LAnkle LBigToe LSmallToe LHeel Neck Head Nose RShoulder RElbow RWrist LShoulder LElbow LWrist
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X1 Y1 Z1 X2 Y2 Z2 X3 Y3 Z3 X4 Y4 Z4 X5 Y5 Z5 X6 Y6 Z6 X7 Y7 Z7 X8 Y8 Z8 X9 Y9 Z9 X10 Y10 Z10 X11 Y11 Z11 X12 Y12 Z12 X13 Y13 Z13 X14 Y14 Z14 X15 Y15 Z15 X16 Y16 Z16 X17 Y17 Z17 X18 Y18 Z18 X19 Y19 Z19 X20 Y20 Z20 X21 Y21 Z21
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|
||||||
1 0.016666666666666666 -0.06497214796810759 0.9015045550714219 -1.4005886926185436 -0.039626366217273064 0.49309736508346963 -1.4485228257141773 0.043790140142401686 0.1438754982298424 -1.595084677175331 -0.016908482700287393 0.0644100634854221 -1.4466122856697554 -0.023624113249186514 0.07647845076617456 -1.5050009460595855 0.06004531358209033 0.10438957736344671 -1.6358191543053155 0.10414811565622761 0.9087621520330434 -1.4589816545398213 0.030384912213621502 0.5361790123469125 -1.2634902850904264 0.013819812608778199 0.18115575543140294 -1.1375505145455749 -0.022302677625561936 0.09534707105232751 -1.0123924717196522 0.002596310432709726 0.11352984352003752 -0.9899617326897932 0.023237931913577675 0.1028244811852605 -1.2269060955109108 -0.028751902614113 1.4640637475385383 -1.3967538932054269 -0.056439390963240306 1.7024241363089387 -1.251712918165679 -0.05311484900137218 1.557268349840228 -1.197034641076441 -0.16750016780382998 1.3929348368739156 -1.4131922619239163 -0.2729694358694237 1.1454816661314944 -1.479785603900088 -0.36305081378548576 0.9227894097003227 -1.3696832448117429 0.1449045502791358 1.414244460433966 -1.445375055589065 0.27702490973776667 1.1648706333068446 -1.472594655832633 0.3546307511327374 0.937762386769892 -1.4580889913138002
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|
||||||
2 0.03333333333333333 -0.07400682936454443 0.9044249595446079 -1.38875055235376 -0.03967167449854034 0.4930610544183484 -1.4481465415844852 0.03988629702625417 0.14349351643381283 -1.5931576221287305 -0.016937187472705114 0.06664057660020731 -1.4477365751444142 -0.022348375319435038 0.07352380390368031 -1.496217380798817 0.05996569485170091 0.10409540139384052 -1.635538298389605 0.10008796347597874 0.9046726033253037 -1.4434718166954241 0.03390795942930055 0.5268516767628307 -1.2436581164863583 0.01276359207240242 0.1561306502438201 -1.1777669243519728 -0.008525756900378578 0.0976639290148113 -1.016027315992633 0.013788204490539241 0.09066837480121788 -1.0281508175864158 0.019601383983223773 0.09717298030130751 -1.2254048566494866 -0.02465707417370451 1.4643628152793253 -1.3878530017855382 -0.044317388292624924 1.7016913778057041 -1.2522449024257611 -0.038715092948178285 1.5594882255389044 -1.1849417421469113 -0.15896617746343034 1.3932559320012965 -1.406325476931949 -0.2734393427687783 1.1499028148323789 -1.482344181219621 -0.36659692692419155 0.9409114413894223 -1.3674022847316432 0.15323234674039057 1.4045490141409402 -1.4344764663555705 0.2805567270983057 1.1620780279498393 -1.4627085411562402 0.35449885422193195 0.9349072743155047 -1.4475312225497714
|
|
||||||
3 0.05 -0.07994003508784125 0.9088363315135066 -1.3905580361242016 -0.037234196419816505 0.4955765014106467 -1.4425663246315596 0.04241869975614993 0.1500265582226024 -1.594927259275387 -0.01574996686672287 0.06411191580102348 -1.451436025465263 -0.02098326956028777 0.07067668741162317 -1.5005609823471773 0.060178703555420744 0.10736688959206538 -1.6376590095939914 0.09894617970669163 0.9056906633149083 -1.431932646153719 0.0306249055598522 0.5257404480520177 -1.2334235811755365 0.00805080833753778 0.1705209865393221 -1.1350391972773952 -0.019549516859120233 0.08742619997640164 -1.0054060218382275 -0.00882089685256975 0.07189917623625698 -1.036716181561973 0.018610492711264755 0.11251164615611406 -1.1798733688670966 -0.018955080006994432 1.4624638855636753 -1.3704090278468353 -0.02888242855699393 1.703962101649035 -1.2520209437994765 -0.008359896355645885 1.5529161750373657 -1.2074851514876386 -0.16528247906785964 1.392750810960902 -1.4499293516229264 -0.2700461246209692 1.1530890629841961 -1.4677334871719527 -0.3655859906294031 0.9481164989999868 -1.3535425413680706 0.15718618633341147 1.4049632514081167 -1.426066597012945 0.2850173806525569 1.1579705936205236 -1.4389364397478692 0.37082051898403573 0.9238065931157293 -1.410545807532474
|
|
||||||
4 0.06666666666666667 -0.08342129985132575 0.9118448511189909 -1.379050154135988 -0.0378442482906747 0.4986109123625857 -1.4352189864500167 0.041841983978335315 0.15062110725933373 -1.5951903296219654 -0.015932254565296778 0.06416123546532042 -1.4513721360611158 -0.02257599739301211 0.0731992870706251 -1.504527424412503 0.057564602663828346 0.11695964539527634 -1.6363652236785142 0.09290312931304562 0.9098437283719358 -1.4193092192329997 0.061059291515899373 0.5096012715038665 -1.1892666366458096 0.007374751446314841 0.1550583730713588 -1.1808690531215509 -0.04378020262460317 0.07761079699508175 -1.0210196765995916 -0.01714605346347419 0.07584131736620414 -1.0399612109003555 0.014046580777960078 0.10523749431792916 -1.2282451744130676 -0.012549520632110841 1.4638662725554938 -1.3652176336160406 -0.021262050211840515 1.7026487477750942 -1.2570495986090877 -0.008350811010892046 1.5529532822363696 -1.2071862921954262 -0.15751250700651767 1.3948904556685857 -1.448604791135599 -0.29968774071712756 1.1428088944889967 -1.5238541534688406 -0.36794275668971194 0.9616792640643118 -1.3388440241773825 0.16072755816947012 1.3998772896653568 -1.4161220791506832 0.2900349664546639 1.152002530871588 -1.4161336571458536 0.3679392534818304 0.9209406904952349 -1.3980322674165044
|
|
||||||
5 0.08333333333333333 -0.0821238865651071 0.9107085919754118 -1.370552859419039 -0.04150582145275036 0.4929167907686021 -1.439155011826857 0.03682233210122577 0.14927663866617172 -1.5990002243914512 -0.02148219317050597 0.06783629176552161 -1.4423567058485363 -0.026747037678661004 0.08037740611028288 -1.5017657758090883 0.05366234746160954 0.12022297381258865 -1.6408220352917793 0.09147625567616328 0.9100669057985629 -1.4139290585175406 0.0626837093342491 0.5103767599988093 -1.1823134125607424 0.002954177725043121 0.1567514622473684 -1.1821054577322763 -0.038488020735776965 0.07052276032300842 -1.014114019708537 -0.014272675762046935 0.07347835346579584 -1.043291374875193 0.011831836553890883 0.11877479372751705 -1.1711837047310336 -0.0027370625258062178 1.4639923785316706 -1.355101269302125 -0.009731425014376505 1.7031729058977731 -1.2426213455119701 -0.010665909090334488 1.555288287529191 -1.1943574023557766 -0.14942303131368975 1.4010602126824292 -1.4369109688599486 -0.27570432086069985 1.1686799507679233 -1.450392434716261 -0.37480166175406 0.9763450427437765 -1.3213283410243597 0.16436263131396908 1.4013433494683019 -1.4106527125065667 0.29602204069095545 1.1393860740183357 -1.4116183716990802 0.3715060490598978 0.9127141244556444 -1.385169816003053
|
|
||||||
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|
|
||||||
7 0.11666666666666667 -0.09201009742966328 0.9116316950580302 -1.3447088631627073 -0.044585642447534934 0.5002300424678053 -1.4213497807093536 0.029045112539671725 0.15408038866837845 -1.5892342384192042 -0.02453502718420693 0.07089768891997737 -1.435102214183374 -0.027653286539935016 0.08029291877544131 -1.4972566795410414 0.05589747456443395 0.12552190824047554 -1.6342216077107519 0.07838656503311367 0.9062343920880872 -1.3900436685193238 0.05668230160543274 0.5133833204100103 -1.172329066533092 -0.001533292640881451 0.15303714424888984 -1.1774580456293264 -0.024311773150117642 0.0819302502096757 -1.0101635347515643 -0.015642355768794823 0.07031605017972377 -1.0336888812854481 0.005318420081351788 0.11250356253413697 -1.1732873537978712 0.010922706780007115 1.4639586585850428 -1.3339077945148345 0.025492291247308986 1.7029041019265294 -1.1980170678789088 0.0023946521014788858 1.5594688478434195 -1.1571744377559607 -0.1341489746306962 1.4168565639057384 -1.366282272957472 -0.2867964204983851 1.1937466291971837 -1.4293376904697257 -0.395103838152426 1.0080568095222109 -1.2871437372806074 0.16369462657477404 1.4087298885531911 -1.417316210625187 0.2917939371282503 1.1331007998949012 -1.3927156485387804 0.3624503249153314 0.9035986293468832 -1.358672956107832
|
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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|
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||||||
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99 1.65 -0.08567414503182906 0.8895502503149539 -0.696415841497129 -0.07457604740076056 0.5347216140893162 -0.580758452550991 -0.05136746736932096 0.14379892889408377 -0.7316988943150137 -0.06879165860741843 0.04666580131106695 -0.6012373909421073 -0.0983993298559746 0.04550927439791481 -0.6603841798214382 -0.026786058637576007 0.1009399797487579 -0.7894053748317069 0.11569207611743 0.9286966728008744 -0.7025212510325581 0.0699840692948731 0.5492622576572809 -0.546721897776444 0.0816631226185864 0.1610147564212411 -0.554654005593579 0.03489870958861647 0.13779550693400472 -0.36220283040179235 0.10220473669914193 0.12588967283597352 -0.4116845959652798 0.08192703950561084 0.12427613775515091 -0.5991723642108464 -0.08854896421624027 1.4089527146472693 -0.5187399313734619 -0.15868889903085348 1.6063492088327365 -0.30990736070800945 -0.11179824468926398 1.4507470863845227 -0.33344669510397307 -0.22586930979449463 1.3553553893935237 -0.6035493064142331 -0.3780461623939177 1.1344375064711931 -0.6576057916393742 -0.5123419644763455 1.0696875951405858 -0.45118116239575207 0.09215103273485181 1.461577683440438 -0.5181371669790753 0.3214366907894637 1.4725440027589847 -0.6100712829103377 0.4688303073772196 1.5461072196546946 -0.4144491433286445
|
|
||||||
100 1.6666666666666667 -0.05950876282587767 0.908462005237835 -0.659343271226699 -0.07883780552229111 0.5355456389153223 -0.578650717792863 -0.04910599693432885 0.14415610829192968 -0.726590380585758 -0.06481694272226819 0.04714457897903012 -0.6029285731670161 -0.0995852067477821 0.04401940022486813 -0.6547405444164972 -0.02690249366511207 0.0994968883345136 -0.781100990958706 0.11895267173893811 0.9278610680198827 -0.692509339126174 0.08713655823867913 0.5457795396502999 -0.49214652721707386 0.0798011364540599 0.16553392944497333 -0.5353490307853621 0.032632570098260524 0.13108262792619885 -0.35129803182831854 0.09245876685643947 0.11407456820919464 -0.394986983384761 0.08250748570667256 0.12711206328071403 -0.5744743541129288 -0.095499973177903 1.4105279440176914 -0.505443307065905 -0.16029353955067968 1.6138856065654832 -0.30656900649765245 -0.11948497205057865 1.4598495160157738 -0.3284065743732317 -0.21412757966417761 1.3652961902745917 -0.5552872415962108 -0.3780384816586033 1.1348353898555692 -0.6574316221558029 -0.5124691676373886 1.0697779551821915 -0.4511644477868675 0.09653532369144176 1.4610281552650952 -0.493955443508969 0.369148453715478 1.478891961188578 -0.5755604414122992 0.4575004589471131 1.5475270757731838 -0.38714628954066377
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@ -1,105 +0,0 @@
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PathFileType 4 (X/Y/Z) S00_P00_T01_BalancingTrial_0-100.trc
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DataRate CameraRate NumFrames NumMarkers Units OrigDataRate OrigDataStartFrame OrigNumFrames
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60 60 100 21 m 60 0 100
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Frame# Time RHip RKnee RAnkle RBigToe RSmallToe RHeel LHip LKnee LAnkle LBigToe LSmallToe LHeel Neck Head Nose RShoulder RElbow RWrist LShoulder LElbow LWrist
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X1 Y1 Z1 X2 Y2 Z2 X3 Y3 Z3 X4 Y4 Z4 X5 Y5 Z5 X6 Y6 Z6 X7 Y7 Z7 X8 Y8 Z8 X9 Y9 Z9 X10 Y10 Z10 X11 Y11 Z11 X12 Y12 Z12 X13 Y13 Z13 X14 Y14 Z14 X15 Y15 Z15 X16 Y16 Z16 X17 Y17 Z17 X18 Y18 Z18 X19 Y19 Z19 X20 Y20 Z20 X21 Y21 Z21
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||||||
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||||||
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||||||
4 0.0666666666666666 -0.08094892532689264 0.9091861124521755 -1.377468194814903 -0.0381601656988083 0.4948452671561543 -1.441234779686184 0.03879492924989393 0.14901982475943637 -1.595545465236154 -0.018881909828377067 0.06633042749208148 -1.4458379719028602 -0.024144237348149716 0.0756412317770079 -1.5011868517683955 0.05706870630371764 0.11435847101940755 -1.6381125543681598 0.09349261870507852 0.9080862478436125 -1.4231340468339024 0.051277140359255104 0.5176337434335633 -1.2039577995786597 0.005918700949584895 0.15991981061468694 -1.1692039690213791 -0.027231072425253466 0.08212569818762001 -1.0128943064012912 -0.010404052359622778 0.07722823888358349 -1.0365069303177339 0.013495919915579373 0.10816672049824703 -1.2022530830656484 -0.01119191972260285 1.463813828185207 -1.3641796776284827 -0.01876052426662717 1.7030933248098703 -1.2437223159825277 -0.015783051466802225 1.555665444357744 -1.1950548290626313 -0.15506064269938116 1.3995831233356526 -1.4223134646599132 -0.28138363213027867 1.1596958040057763 -1.4723493709012097 -0.3735805798653687 0.9625872373799477 -1.3353134211805007 0.15808200884511173 1.4050796793839504 -1.424636248866424 0.28837918161502657 1.1496954209767243 -1.425961908056711 0.36642809816266 0.9211729638784384 -1.401036775382437
|
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||||||
5 0.0833333333333333 -0.08470151873521656 0.9110495547770567 -1.367480909517751 -0.03894896641974888 0.4961502747897474 -1.4368520197215917 0.03691792745993102 0.15080130153079488 -1.5951031291161535 -0.020170144468770676 0.06745612556398119 -1.4437141664554225 -0.02503019445762778 0.07678232736241634 -1.500339465930817 0.05614280237944806 0.11842494149881613 -1.6391919833708868 0.08958184945738985 0.9080475483985258 -1.411684568137903 0.055354841285950536 0.5141475580229876 -1.1883663741642376 0.0033934473132109996 0.15633707429250063 -1.1753679885848811 -0.028649065099440988 0.07878718081333173 -1.0119670239906784 -0.013497949423146659 0.07248460554607657 -1.0420646396604276 0.010553408056287435 0.11004588519680049 -1.1962153616573565 -0.003790019429250878 1.464013021130426 -1.3535789823238118 -0.00569697560721974 1.7032529297409906 -1.2346767255592301 -0.008006670846950496 1.5562640871524764 -1.186963764082489 -0.14878038473734667 1.4045049379022188 -1.4104861891999847 -0.28325025182594626 1.168791101487968 -1.4614300447040782 -0.37938690672629377 0.9773437232374698 -1.3189227211304684 0.16200912508988088 1.404409698951597 -1.4183926306247607 0.2908076337307041 1.1442538746968962 -1.4136003231564116 0.36777743007203745 0.9162071448560821 -1.383962655672738
|
|
||||||
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|
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||||||
7 0.1166666666666666 -0.09148949719783074 0.9150605803002246 -1.3436322672639034 -0.04506123854212721 0.5026266704531391 -1.418545796856697 0.03377363804611967 0.15576977942481474 -1.5923536424293854 -0.02224292170365014 0.06990110270720257 -1.4392546002206923 -0.026614953802447588 0.07940759164725049 -1.4985206571813947 0.05518094092891565 0.12753930626385632 -1.6413338978410155 0.081546226357615 0.9072166355434922 -1.3863859678263675 0.05303985545055154 0.5104380830939488 -1.166199408290691 -0.0005108844402248486 0.15343805965052992 -1.1794619095601078 -0.03187252470777266 0.07424943954774091 -1.0082459477860977 -0.015554500695349803 0.07248235709386942 -1.0406122542155787 0.0067473043638740775 0.11496380282035001 -1.1853058777939616 0.013796937132589273 1.464693974332061 -1.3320821637927454 0.02145594381147727 1.7032287790647165 -1.2096545098796678 0.007537839951050856 1.5584350194251257 -1.158831979293666 -0.13303723368987716 1.416448453967284 -1.3732840839395395 -0.28583393836468646 1.191591772075791 -1.432879442282582 -0.39187677601067916 1.012170377475351 -1.279875419712732 0.1732118253047748 1.4030326714397212 -1.3986203039858092 0.2940507554290211 1.1343730557091114 -1.3935212141267137 0.36764282395828085 0.9060552467772033 -1.3524131374651023
|
|
||||||
8 0.1333333333333333 -0.09499939536551538 0.9175971344590588 -1.3308069811211491 -0.051922744611347604 0.5085355561724304 -1.401395703592028 0.032348396768070026 0.15932352323788282 -1.5903235635448407 -0.022742858250401995 0.0708345818149079 -1.4378743573039552 -0.02699681500826892 0.08037315824456641 -1.49793431780833 0.054831323148440456 0.13274863277870555 -1.6415621814665844 0.07744347841673717 0.9064821143471855 -1.3723243167937762 0.046943816987826806 0.5088146754851912 -1.1581335711100949 -0.0016390140603991406 0.15342964172541504 -1.178775609358991 -0.03472947529121204 0.07263152866314007 -1.0058838495902003 -0.0146423001720311 0.07635130700133445 -1.0352053083802457 0.006102625562696817 0.11809639315790903 -1.1811227535999949 0.023739781296445463 1.4651211919627483 -1.3212425030017396 0.0355859832410173 1.7027158127128525 -1.1967707784985027 0.017953393485655618 1.5592155280641733 -1.1421133752293486 -0.12460997812656376 1.4219254611821461 -1.3563351722172996 -0.287214996914606 1.2037502579161392 -1.4189220643481304 -0.3966979035712594 1.032792592619491 -1.258884667239795 0.1814249996717535 1.4004574244601986 -1.3832367568294672 0.2960343887697618 1.1299482273354136 -1.3842747536172482 0.36759877433815735 0.8997165274707448 -1.3379647785574198
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||||||
9 0.15 -0.09857750917585226 0.9202327411674395 -1.3183147852718105 -0.06226521521642865 0.5161483936039275 -1.3772537519928088 0.03016874906418586 0.16359239957385002 -1.58784632808046 -0.023148847209485297 0.07145696931836532 -1.4369441959439593 -0.027169562409963585 0.08107136515057431 -1.497613595709524 0.05411006490483608 0.13829440900129275 -1.6399492646155869 0.07288836509202935 0.9057064484128329 -1.3584207418139878 0.03858555590093553 0.5070335155784254 -1.1512040663659446 -0.0022433190381962714 0.15405524760057773 -1.1773495590866003 -0.03752890231222313 0.07191283751376737 -1.0034211002638012 -0.012596804930980336 0.08237174853713711 -1.027230877284735 0.006016924177279882 0.12108827026708331 -1.1789227781595808 0.034164120256227594 1.4655737185903615 -1.3103626274829694 0.050578473064726126 1.7016072390286403 -1.1846865872023948 0.030658016870716454 1.5593981902145795 -1.1260328987753918 -0.11664751504931781 1.4263817665501657 -1.3437465608524488 -0.28888874613749854 1.216204328569703 -1.405772999537781 -0.4002537440245552 1.0559288108510203 -1.237878338451434 0.19043282061771666 1.3962840509138867 -1.366260643193573 0.2989727383963946 1.125466636289083 -1.3745635582926858 0.3683027978966646 0.8918152160606754 -1.3242810378856038
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|
||||||
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|
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||||||
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||||||
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||||||
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|
||||||
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||||||
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|
||||||
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|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
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||||||
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|
|
||||||
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|
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||||||
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||||||
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||||||
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|
||||||
89 1.4833333333333334 -0.07165417854548922 0.906658370226602 -0.7100678941375693 -0.09071256170931248 0.503235309105753 -0.6879999021170867 -0.052182820363403756 0.14417605955236182 -0.7399326032967862 -0.05515679573741229 0.040078449432604454 -0.6007595811162917 -0.09128517626983776 0.03595296428549513 -0.6441469440234827 -0.0335535126848924 0.11181678876698967 -0.7970172023346836 0.1329527203475702 0.8970367550254794 -0.7388691858669885 0.08723084518050839 0.5126072129140006 -0.6642941019897939 0.04086282114949318 0.2277968636876308 -0.9142288166498732 0.04963991463798452 0.11038630460019956 -0.8026097807285472 0.08435884934046894 0.12595504932684093 -0.86968527440646 0.04722306243648884 0.2166273506076884 -0.952944453450206 -0.04966658861590977 1.4172864222511254 -0.6009219782373548 -0.08522387442260765 1.630760360614937 -0.3942912720027018 -0.05723637351090328 1.48216906140202 -0.41591782696662133 -0.2102171790761921 1.3742817076021512 -0.6381910160688428 -0.40627120420239127 1.1951181676107867 -0.6776502966865692 -0.5181109901620211 1.2021251786743856 -0.43186454500880994 0.11672689750199748 1.4329241297444175 -0.6818333996369244 0.3521776606969624 1.4147495236508552 -0.7004893864367034 0.593494472589392 1.3912270490873102 -0.664338872196873
|
|
||||||
90 1.5 -0.06856171033016766 0.9060046693731171 -0.7069287821217535 -0.09108279566454096 0.5037096248734917 -0.68313833092211 -0.05129570306587705 0.14553864660608942 -0.7331527507579872 -0.05549540629246707 0.04164118980390392 -0.5997011290802057 -0.09245125773390402 0.0369463935791162 -0.6464737925581581 -0.0325052454815686 0.11229711816427705 -0.7956136924873766 0.1312652985447227 0.9013419432711144 -0.7464129343475597 0.09071398904067576 0.5163842753512574 -0.6455316074891944 0.0463863502778932 0.22095756346332643 -0.8802187473927972 0.0567054796335248 0.11100537198960891 -0.7613887908506598 0.0931513425083295 0.1246145624970656 -0.824567634442952 0.0535236829282902 0.20703828291424906 -0.9198930875160889 -0.056723211073076776 1.4145651888602566 -0.5895420196124451 -0.10107339847893995 1.6249529518026244 -0.3816757447864326 -0.0680786766907553 1.4755536537937253 -0.40448791779387255 -0.21347092093183706 1.3657061177974148 -0.6385341901562849 -0.40433348658195656 1.181392524268273 -0.6698484626497989 -0.5250467423051333 1.18040612076 -0.434318092467126 0.11756223582559155 1.435096057349284 -0.6516555964769939 0.3451422625599999 1.4307610426363597 -0.6938962024646192 0.5807144080195004 1.4299314833724024 -0.6395734615572546
|
|
||||||
91 1.5166666666666666 -0.06620004665336707 0.905559074448419 -0.7051769155443167 -0.09124617970048213 0.5040247645479993 -0.6768392123863703 -0.05008038233906663 0.1460444214562017 -0.7266632831510128 -0.05639070238019706 0.04330107167889096 -0.5993848385834054 -0.09410875704988987 0.03842882130755356 -0.6487461690258802 -0.031244306587522332 0.11111042889807152 -0.7943234916207114 0.12861119575160654 0.906040080447058 -0.7542647047266652 0.09317277470488669 0.5197108726523386 -0.628656620507224 0.05320432981346305 0.21510962256197827 -0.8438208285170969 0.06227848686118187 0.11100013465519605 -0.7181918147502624 0.09947289336219525 0.12328033644593514 -0.7736246730138481 0.059380821312478516 0.1967636608916387 -0.8897252912283559 -0.06302368270290551 1.4112758619751895 -0.5792475809319657 -0.11452707780586525 1.6191308370910882 -0.3705201652210325 -0.07681940124170204 1.4681278774178543 -0.3952780663624194 -0.2156895524856531 1.358649902450232 -0.637329623681066 -0.40134246122902495 1.1689755133420172 -0.6625990212430191 -0.5285305706071264 1.159024841135887 -0.43721205533120605 0.1168675807847248 1.43589144322298 -0.6284691424323515 0.3408942195877376 1.4438819171855852 -0.6893183848807188 0.5659515455825769 1.4632000693285494 -0.6141526415702874
|
|
||||||
92 1.5333333333333334 -0.06442149087602458 0.9054401130926849 -0.7037631391527628 -0.09119964092203486 0.5042468746915978 -0.6696062286981262 -0.048664988576691284 0.1459400801095315 -0.7217068966119953 -0.05793909180366919 0.044714760463297046 -0.6003481921856911 -0.09628014804375302 0.0403769669990621 -0.6508148719815052 -0.029754065400597926 0.10893922091935977 -0.7934747776291153 0.126781362939055 0.9100094934016912 -0.757490715134977 0.09445955480255751 0.5228495190367599 -0.6132914105342062 0.06067978981320723 0.2101846916784944 -0.8052872618478809 0.06613223339079194 0.1109958704140914 -0.6732125707242488 0.10343449302562993 0.12285094656929864 -0.7190098073749029 0.0650883265393349 0.1865521046361428 -0.8584140295634514 -0.06864812952015961 1.4078682222516605 -0.5695682391543658 -0.12522066802037995 1.6138445610447778 -0.360582718556643 -0.0839610552671664 1.4609734086443704 -0.38718908964406934 -0.2174122229477515 1.3531713412930868 -0.6349349915762863 -0.39779245158391957 1.158173188924234 -0.6570274301236089 -0.529201885935592 1.1385816194631557 -0.43903455356326787 0.11346509807045825 1.435654642482991 -0.614585954465309 0.34076033439218556 1.4544749635174852 -0.6820646584471614 0.5520326570420675 1.490172543387665 -0.5864703244968547
|
|
||||||
93 1.55 -0.0633375075851611 0.9054799481818039 -0.7019548587700569 -0.09094165124424156 0.5047718901904802 -0.6617968172647051 -0.047362960495017516 0.14543236660552344 -0.7190599468271293 -0.06018046466810434 0.045629840729775176 -0.6025234766332733 -0.09841711712027731 0.042219130892197504 -0.6524877877128815 -0.028128093074388884 0.10641638634978604 -0.7928217436520378 0.12632880129942345 0.9128271432362874 -0.7544681223526182 0.09437731312633238 0.5260315279102004 -0.5993317333739011 0.06763537644150518 0.20500550631556042 -0.7652801903447707 0.06821991102463411 0.11145805398411554 -0.6271168723618068 0.10533995287600965 0.12365210023035761 -0.6630187623434888 0.07043385433374544 0.1764395853444196 -0.8228846280183093 -0.07357171840433563 1.4049100361628086 -0.5603880174759907 -0.13318311340149114 1.6096226451564004 -0.35165899784650284 -0.09019512773030453 1.4551245830976585 -0.3792907862958531 -0.21887710101087265 1.3491823512194623 -0.6318018766054183 -0.39422696377435823 1.1492254174027474 -0.6536694823759748 -0.5278301845258593 1.1198823458360672 -0.43962621951367736 0.10787435829106577 1.4350671903880854 -0.6075357248851563 0.3441020994601719 1.4630119921603757 -0.6710048245386666 0.5397385486651824 1.5110164016999434 -0.5569754128262029
|
|
||||||
94 1.5666666666666669 -0.06302098691644034 0.9053137453406898 -0.6995403906033928 -0.09023661455220482 0.5060945340992326 -0.6533123518909657 -0.04652756635426687 0.14467120133591696 -0.718815729657647 -0.06299855210540535 0.046038552698563946 -0.6052787441838721 -0.09993480861349735 0.04345142392895461 -0.6537091885011251 -0.02662395300738342 0.10402029550082384 -0.7919891161815646 0.12631314457452875 0.9150093228326875 -0.7479157778602432 0.09295780544056222 0.5293073408748291 -0.5862684325352981 0.0731851614723874 0.19842036185015155 -0.7248660887147623 0.0686509718632796 0.11265451653756892 -0.5809220320562336 0.10578010297272321 0.125274963964101 -0.6084540594328102 0.07507029571387278 0.16613813983761488 -0.7829967194428061 -0.07775775720355026 1.402942168040869 -0.5518408949432286 -0.13890450133186763 1.6068360856633928 -0.34359202818561757 -0.09607946277157997 1.4512811795416793 -0.3710695112658997 -0.22007097628403938 1.3466721416029723 -0.6280654040358978 -0.3910019948596123 1.142262248367493 -0.6523724261195446 -0.5251334746702022 1.103686975801074 -0.4397840512014656 0.10162339227659985 1.4350019267166823 -0.6025348445096442 0.34869940757290974 1.4697643488795604 -0.6575947507563531 0.5282125328940958 1.5265028471843882 -0.5275396022721096
|
|
||||||
95 1.5833333333333333 -0.0633022764231123 0.9047157300926821 -0.6964769357554307 -0.0886810818805832 0.5084642753577996 -0.643836795202096 -0.04630099533729478 0.14383942446018197 -0.7203546366996265 -0.06588317997455759 0.04625908736231946 -0.6076730384914822 -0.10066830273421108 0.04412633362672031 -0.6545645334341802 -0.025554975068477655 0.10208763895525845 -0.7908705893524176 0.12566621397700986 0.9172093690886554 -0.7410245437735984 0.09058777233286512 0.5326244889812591 -0.5733538833971679 0.07702807963053176 0.19036367767936466 -0.6855141696453929 0.06750826943354683 0.11468843424614 -0.5358223583851034 0.10543132303369951 0.12655356494707068 -0.5583918239111041 0.07876389883800151 0.15557681107888188 -0.7413972921830475 -0.08120102456127345 1.4022827513458411 -0.544040179619622 -0.14313365718351198 1.6055501639306191 -0.33628169261486707 -0.101732719724024 1.4496266502976252 -0.3623924364889494 -0.22085494658375032 1.3457371254802508 -0.6234062631085194 -0.38820833136351474 1.1372211067252098 -0.6526401311197884 -0.5218157030738488 1.0905858513247684 -0.44020186931570227 0.09619808956074552 1.4361285770692374 -0.5956224302726192 0.3520369172812179 1.474722640720211 -0.643896834641386 0.5165565268646354 1.537271504800856 -0.4997208026256914
|
|
||||||
96 1.6 -0.06383275862137816 0.9038629911340805 -0.6925904840359142 -0.0863449062059415 0.5117486109800827 -0.6335216034983124 -0.0466189941013833 0.14315382422578382 -0.7226392237347536 -0.06795878433468348 0.04663651420676304 -0.6087461203993142 -0.1007829767564038 0.044527492968230435 -0.6551968411814876 -0.02511172545753873 0.10075412112635475 -0.7895108563623872 0.12437749890269031 0.9195505083866029 -0.7341124694558936 0.08795008273026127 0.535910596842698 -0.5599420489825213 0.07928557235585153 0.18195265387203124 -0.6487326460790146 0.06456719187912952 0.11763559257604726 -0.4928521492730729 0.10460175111486295 0.12647539112748912 -0.5148369126286776 0.0813038048580939 0.14535453948600818 -0.7013380062633839 -0.08400132277870477 1.402877760495474 -0.536824133781501 -0.14660636268829322 1.6055493531909781 -0.3296531872239564 -0.10677508367278069 1.449807905837372 -0.35371130781108995 -0.2210815744896364 1.346471826649269 -0.6170886599835648 -0.38575042976431817 1.133976860216792 -0.6538826555950452 -0.5185646117145833 1.0809256189491008 -0.44117745046723933 0.09254684066908282 1.4387118384964153 -0.584648731975344 0.35295669371971466 1.4778128256628795 -0.6311805573382938 0.5045134266262887 1.5439039811035677 -0.4742675561780454
|
|
||||||
97 1.6166666666666667 -0.06421536993088264 0.9032941857078229 -0.6874872083686706 -0.08385347120560238 0.5159269768408125 -0.6224136838537736 -0.047315012445296074 0.14280702549420687 -0.724745867340435 -0.06861472894570689 0.047151397178497964 -0.6081684517833419 -0.10054209346318546 0.04475477846090458 -0.6556357614198786 -0.025266371187100897 0.09995790196739177 -0.7878972833449839 0.12297122435677972 0.9218334781973552 -0.7259042638412994 0.08580872502646751 0.5390215331965443 -0.5455537349096027 0.08031590893741632 0.17467731860737254 -0.6154910975367924 0.05927916489777932 0.12140391628434731 -0.4525725227513194 0.10308268243248339 0.12499385630768761 -0.47785094348494345 0.0826118698915654 0.13673967361686437 -0.6646557072830946 -0.08644804854023516 1.404355095544861 -0.5297253712133864 -0.14986966299311766 1.6065399266985738 -0.32356194484954415 -0.1108048843837286 1.4512448250163117 -0.3458078370590117 -0.22063334966871062 1.348931746413684 -0.6079792700339729 -0.38350726548643194 1.1324357999386134 -0.6554161254831699 -0.5159002303909717 1.0746650051211215 -0.4429032347549604 0.09102520959194024 1.442758812708513 -0.5686713155088243 0.35258582911336916 1.4792172952333087 -0.6193099616208511 0.4923616719763905 1.5472682069525159 -0.4511232628785753
|
|
||||||
98 1.6333333333333333 -0.06391775700717617 0.9036801488300847 -0.6804747953696928 -0.08172156405820433 0.5213409888364934 -0.6096770856313383 -0.048109871587550784 0.142903065387688 -0.7261479347187494 -0.06799283964542534 0.04748824461612157 -0.6065513093915872 -0.10018747409932052 0.044749676709937056 -0.6557473635029345 -0.025778376959169305 0.09956679811727001 -0.7859757197954055 0.12162867993244374 0.9239601096597181 -0.7158733812080621 0.08482491960899016 0.5417501736460569 -0.5296861793684502 0.08055175529685045 0.16957285691962687 -0.585959884905748 0.051549220226008156 0.12536246745617072 -0.41544270959943264 0.10052094572379783 0.12238544736249464 -0.4464117391750366 0.08296205529248818 0.13091473260812903 -0.631724343570851 -0.0890000341415249 1.4062791507036745 -0.5222244668492457 -0.15321494993205625 1.608341961114398 -0.3177832573677161 -0.11394160625662889 1.4535194391574007 -0.33910570325776895 -0.21935357548831577 1.3531082882810879 -0.5947351206118157 -0.38145735014251436 1.132378262234321 -0.6566251686414137 -0.5140580585410446 1.0712972053464098 -0.4453670742023215 0.09149526513498124 1.4481075386592395 -0.5475479733475432 0.3539162954852075 1.4794567688851925 -0.6068130751592515 0.48044748526738223 1.5483900300401199 -0.4294606324586678
|
|
||||||
99 1.65 -0.0623232675887108 0.9054977213569861 -0.6709213708882287 -0.0800893051284412 0.5280594081136304 -0.5947812289796474 -0.04871182482664413 0.14339980860720133 -0.7266870457785909 -0.06660507638749336 0.047451860579170724 -0.6047257156663479 -0.09987971217546446 0.044494843370276004 -0.6554198403351268 -0.026354493091406007 0.09943640671654945 -0.7836950747984056 0.12029987334384275 0.9259547674541684 -0.7044291803655375 0.0853694636772532 0.5439722089650302 -0.5117522911933254 0.08034666678439328 0.16680005186528962 -0.5594895341840388 0.04229639944806021 0.12863743798630561 -0.3817756282247438 0.09683350671162654 0.11866915473416143 -0.41912069420287806 0.08283780399321633 0.12803282247789344 -0.6019644115853019 -0.09204131408194628 1.4083600455806224 -0.5140469584542323 -0.15670820480812972 1.6108564199097801 -0.31212537982718647 -0.11671381632689999 1.456435733425128 -0.3334473806567172 -0.21710802475636298 1.3587663885252639 -0.5766884129962374 -0.37962776165748385 1.1333402910956136 -0.6572476358752689 -0.5129732212242761 1.0699351436983537 -0.44821409577885263 0.09349178081758744 1.454348693067728 -0.5221395676671422 0.3596697037472704 1.4792023602269346 -0.5920926273661675 0.4688402277349574 1.5482286866228396 -0.4081510306470091
|
|
||||||
100 1.6666666666666667 -0.059501696990731864 0.9084819630317227 -0.6593333703570372 -0.0788242533852911 0.5355394473545034 -0.578476122811372 -0.04906600956400166 0.1441242984935045 -0.7265847091211243 -0.06487588535211228 0.04715740903150656 -0.6030205469340659 -0.09966360365296414 0.044093019719379296 -0.6547674169675431 -0.026863446084088645 0.09940900556958449 -0.7811204938904901 0.11897898368501438 0.9278830090719168 -0.6922886807198072 0.08710147067008518 0.5458238848029204 -0.49195301687091897 0.07997779019969244 0.16551838112011735 -0.534566149561837 0.032611395454029 0.13108201368546302 -0.35041700399119374 0.09240591169336057 0.11411959104039161 -0.39384403034727705 0.08261106816977284 0.12694872370840932 -0.5738708917944854 -0.0955648649791148 1.4104586885784391 -0.5053011004811601 -0.1603346754917314 1.613818095805335 -0.30645766136570535 -0.11952281483010814 1.4597360241854096 -0.32831972777984647 -0.21413655979805363 1.3652829254215963 -0.5551825624871013 -0.37794510026670647 1.134727357742643 -0.6574245550813412 -0.5123348635100686 1.0694635112176456 -0.4511191666706523 0.0963093781881729 1.4609647080351404 -0.4942744357043924 0.3693853665696978 1.4789454938075552 -0.5752435510863579 0.4573437698278765 1.5476587851933303 -0.3864996219850596
|
|
@ -8,7 +8,6 @@ def test_workflow():
|
|||||||
config_dict.get("project").update({"project_dir":"."})
|
config_dict.get("project").update({"project_dir":"."})
|
||||||
Pose2Sim.calibration(config_dict)
|
Pose2Sim.calibration(config_dict)
|
||||||
|
|
||||||
|
|
||||||
config_dict.get("project").update({"project_dir":"S00_P00_Participant\S00_P00_T00_StaticTrial"})
|
config_dict.get("project").update({"project_dir":"S00_P00_Participant\S00_P00_T00_StaticTrial"})
|
||||||
config_dict['filtering']['display_figures'] = False
|
config_dict['filtering']['display_figures'] = False
|
||||||
# Pose2Sim.poseEstimation(config_dict)
|
# Pose2Sim.poseEstimation(config_dict)
|
||||||
|
@ -17,13 +17,11 @@
|
|||||||
- Robust triangulation,
|
- Robust triangulation,
|
||||||
- Filtration.
|
- Filtration.
|
||||||
|
|
||||||
It has been tested on Windows 10 but should work similarly on Linux.
|
It has been tested on Windows, Linux and MacOS, and works for any Python version < 3.8
|
||||||
Please subscribe to this issue if you wish to be notified of the code release.
|
|
||||||
See https://github.com/perfanalytics/pose2sim
|
|
||||||
|
|
||||||
Installation:
|
Installation:
|
||||||
# Open Anaconda prompt. Type:
|
# Open Anaconda prompt. Type:
|
||||||
# - conda create -n Pose2Sim python=3.7 tensorflow-gpu=1.13.1
|
# - conda create -n Pose2Sim python=3.8
|
||||||
# - conda activate Pose2Sim
|
# - conda activate Pose2Sim
|
||||||
# - conda install Pose2Sim
|
# - conda install Pose2Sim
|
||||||
|
|
||||||
|
428
README.md
428
README.md
@ -29,13 +29,17 @@ If you can only use one single camera and don't mind losing some accuracy, pleas
|
|||||||
|
|
||||||
<img src='Content/Activities_verylow.gif' title='Other more or less challenging tasks and conditions.' width="760">
|
<img src='Content/Activities_verylow.gif' title='Other more or less challenging tasks and conditions.' width="760">
|
||||||
|
|
||||||
|
</br>
|
||||||
|
|
||||||
# Contents
|
# Contents
|
||||||
1. [Installation and Demonstration](#installation-and-demonstration)
|
1. [Installation and Demonstration](#installation-and-demonstration)
|
||||||
1. [Installation](#installation)
|
1. [Installation](#installation)
|
||||||
2. [Demonstration Part-1: Build 3D TRC file on Python](#demonstration-part-1-build-3d-trc-file-on-python)
|
2. [Demonstration Part-1: Build 3D TRC file on Python](#demonstration-part-1-build-3d-trc-file-on-python)
|
||||||
3. [Demonstration Part-2: Obtain 3D joint angles with OpenSim](#demonstration-part-2-obtain-3d-joint-angles-with-opensim)
|
3. [Demonstration Part-2: Obtain 3D joint angles with OpenSim](#demonstration-part-2-obtain-3d-joint-angles-with-opensim)
|
||||||
2. [Use on your own data](#use-on-your-own-data)
|
2. [Use on your own data](#use-on-your-own-data)
|
||||||
1. [Folder structure](#folder-structure)
|
1. [Setting your project up](#setting-your-project-up)
|
||||||
|
1. [Retrieve the folder structure](#retrieve-the-folder-structure)
|
||||||
|
2. [Batch processing](#batch-processing)
|
||||||
2. [Camera calibration](#camera-calibration)
|
2. [Camera calibration](#camera-calibration)
|
||||||
1. [Convert from Qualisys, Optitrack, Vicon, OpenCap, EasyMocap, or bioCV](#convert-from-qualisys-optitrack-vicon-opencap-easymocap-or-biocv)
|
1. [Convert from Qualisys, Optitrack, Vicon, OpenCap, EasyMocap, or bioCV](#convert-from-qualisys-optitrack-vicon-opencap-easymocap-or-biocv)
|
||||||
2. [Calculate from scratch](#calculate-from-scratch)
|
2. [Calculate from scratch](#calculate-from-scratch)
|
||||||
@ -54,12 +58,13 @@ If you can only use one single camera and don't mind losing some accuracy, pleas
|
|||||||
1. [OpenSim Scaling](#opensim-scaling)
|
1. [OpenSim Scaling](#opensim-scaling)
|
||||||
2. [OpenSim Inverse kinematics](#opensim-inverse-kinematics)
|
2. [OpenSim Inverse kinematics](#opensim-inverse-kinematics)
|
||||||
3. [Command Line](#command-line)
|
3. [Command Line](#command-line)
|
||||||
7. [Batch processing](#batch-processing)
|
|
||||||
3. [Utilities](#utilities)
|
3. [Utilities](#utilities)
|
||||||
4. [How to cite and how to contribute](#how-to-cite-and-how-to-contribute)
|
4. [How to cite and how to contribute](#how-to-cite-and-how-to-contribute)
|
||||||
1. [How to cite](#how-to-cite)
|
1. [How to cite](#how-to-cite)
|
||||||
2. [How to contribute and to-do list](#how-to-contribute-and-to-do-list)
|
2. [How to contribute and to-do list](#how-to-contribute-and-to-do-list)
|
||||||
|
|
||||||
|
</br>
|
||||||
|
|
||||||
# Installation and Demonstration
|
# Installation and Demonstration
|
||||||
|
|
||||||
## Installation
|
## Installation
|
||||||
@ -87,6 +92,8 @@ If you don't use Anaconda, type `python -V` in terminal to make sure python>=3.8
|
|||||||
pip install .
|
pip install .
|
||||||
```
|
```
|
||||||
|
|
||||||
|
</br>
|
||||||
|
|
||||||
## Demonstration Part-1: Build 3D TRC file on Python
|
## Demonstration Part-1: Build 3D TRC file on Python
|
||||||
> _**This demonstration provides an example experiment of a person balancing on a beam, filmed with 4 calibrated cameras processed with OpenPose.**_
|
> _**This demonstration provides an example experiment of a person balancing on a beam, filmed with 4 calibrated cameras processed with OpenPose.**_
|
||||||
|
|
||||||
@ -100,11 +107,12 @@ Pose2Sim.personAssociation()
|
|||||||
Pose2Sim.triangulation()
|
Pose2Sim.triangulation()
|
||||||
Pose2Sim.filtering()
|
Pose2Sim.filtering()
|
||||||
```
|
```
|
||||||
You should obtain a plot of all the 3D coordinates trajectories. You can check the logs in`Demo\Users\logs.txt`.\
|
You should obtain a plot of all the 3D coordinates trajectories.\
|
||||||
Results are stored as .trc files in the `Demo/pose-3d` directory.
|
3D results are stored as .trc files in each trial folder in the `pose-3d` directory.
|
||||||
|
|
||||||
*N.B.:* Default parameters have been provided in [Demo\User\Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Demo/User/Config.toml) but can be edited.\
|
*N.B.:* Default parameters have been provided in [Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Demo/S00_Demo_Session/Config.toml) but can be edited.\
|
||||||
*N.B.:* *Try calibration tool by changing `calibration_type` to `calculate` instead of `convert` (more info [there](#calculate-from-scratch)).*
|
*N.B.:* *Try calibration tool by changing `calibration_type` to `calculate` instead of `convert` (more info [there](#calculate-from-scratch)).*
|
||||||
|
|
||||||
<br/>
|
<br/>
|
||||||
|
|
||||||
## Demonstration Part-2: Obtain 3D joint angles with OpenSim
|
## Demonstration Part-2: Obtain 3D joint angles with OpenSim
|
||||||
@ -112,54 +120,62 @@ Results are stored as .trc files in the `Demo/pose-3d` directory.
|
|||||||
|
|
||||||
### Scaling
|
### Scaling
|
||||||
1. Open OpenSim.
|
1. Open OpenSim.
|
||||||
2. Open the provided `Model_Pose2Sim_Body25b.osim` model from `pose2sim/Demo/opensim`. *(File -> Open Model)*
|
2. Open the provided `Model_Pose2Sim_Body25b.osim` model from `Pose2Sim/Demo/OpenSim`. *(File -> Open Model)*
|
||||||
3. Load the provided `Scaling_Setup_Pose2Sim_Body25b.xml` scaling file from `pose2sim/Demo/opensim`. *(Tools -> Scale model -> Load)*
|
3. Load the provided `Scaling_Setup_Pose2Sim_Body25b.xml` scaling file from `Pose2Sim/Demo/OpenSim`. *(Tools -> Scale model -> Load)*
|
||||||
4. Run. You should see your skeletal model take the static pose.
|
4. Run. You should see your skeletal model take the static pose.
|
||||||
|
|
||||||
### Inverse kinematics
|
### Inverse kinematics
|
||||||
1. Load the provided `IK_Setup_Pose2Sim_Body25b.xml` scaling file from `pose2sim/Demo/opensim`. *(Tools -> Inverse kinematics -> Load)*
|
1. Load the provided `IK_Setup_Pose2Sim_Body25b.xml` scaling file from `Pose2Sim/Demo/OpenSim`. *(Tools -> Inverse kinematics -> Load)*
|
||||||
2. Run. You should see your skeletal model move in the Vizualizer window.
|
2. Run. You should see your skeletal model move in the Vizualizer window.
|
||||||
<br/>
|
<br/>
|
||||||
|
|
||||||
|
<p style="text-align: center;"><img src="Content/OpenSim.JPG" width="380"></p>
|
||||||
|
|
||||||
|
</br></br>
|
||||||
|
|
||||||
# Use on your own data
|
# Use on your own data
|
||||||
|
|
||||||
> _**Deeper explanations and instructions are given below.**_ \
|
> _**Deeper explanations and instructions are given below.**_ \
|
||||||
> N.B.: If a step is not relevant for your use case (synchronization, person association, etc), you can skip it.
|
> N.B.: If a step is not relevant for your use case (synchronization, person association, etc), you can skip it.
|
||||||
|
|
||||||
## Folder structure
|
</br>
|
||||||
> _**Get ready.**_
|
|
||||||
|
|
||||||
|
## Setting your project up
|
||||||
|
> _**Get ready for automatic batch processing.**_
|
||||||
|
|
||||||
|
### Retrieve the folder structure
|
||||||
1. Open a terminal, enter `pip show pose2sim`, report package location. \
|
1. Open a terminal, enter `pip show pose2sim`, report package location. \
|
||||||
Copy this path and go to the Demo folder with `cd <path>\pose2sim\Demo\S01_Empty_Session`.
|
Copy this path and go to the Demo folder with `cd <path>\pose2sim\Demo`.
|
||||||
2. Edit the [User\Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Empty_project/User/Config.toml) file as needed, **especially regarding the path to your project**.
|
2. Copy this folder wherever you like, and rename it as you wish.
|
||||||
3. Populate the `videos` folder with your videos.
|
3. The rest of the tutorial will explain to you how to populate the `Calibration` and `videos` folders, edit the [Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Demo/S01_Empty_Session/Config.toml) files, and run each Pose2Sim step.
|
||||||
|
|
||||||
|
</br>
|
||||||
|
|
||||||
|
### Batch processing
|
||||||
|
Each session folder should follow a `Session -> Participant -> Trial` structure, with a `Config.toml` file in each of the directory levels:
|
||||||
|
|
||||||
<pre>
|
<pre>
|
||||||
Project
|
Session_s1 \ <i><b>Config.toml</i></b>
|
||||||
│
|
├── Calibration\
|
||||||
├──opensim
|
└── Participant_p1 \ <i><b>Config.toml</i></b>
|
||||||
│ ├──Geometry
|
└── Trial_t1 \ <i><b>Config.toml</i></b>
|
||||||
│ ├──Model_Pose2Sim_Body25b.osim
|
</pre>
|
||||||
│ ├──Scaling_Setup_Pose2Sim_Body25b.xml
|
|
||||||
│ └──IK_Setup_Pose2Sim_Body25b.xml
|
|
||||||
│
|
|
||||||
├── <b>videos
|
|
||||||
│ ├──vid_cam1.mp4 (or other extension)
|
|
||||||
│ ├──...
|
|
||||||
│ └──vid_camN.mp4</b>
|
|
||||||
│
|
|
||||||
└──User
|
|
||||||
└──Config.toml
|
|
||||||
</b>
|
|
||||||
|
|
||||||
|
Run Pose2Sim from the `Session` folder if you want to batch process the whole session, from the `Participant` folder if you want to batch process all the trials of a participant, or from the `Trial` folder if you want to process a single trial.
|
||||||
|
|
||||||
|
Global instructions are given in the Config.toml file of the `Session` folder, and can be altered for specific `Participants` or `Trials` by uncommenting keys and their values in their respective Config.toml files.\
|
||||||
|
Try uncommenting `[project]` and set `frame_range = [10,300]` for a Participant for example, or uncomment `[filtering.butterworth]` and set `cut_off_frequency = 10` for a Trial.
|
||||||
|
|
||||||
|
</br>
|
||||||
|
|
||||||
## Camera calibration
|
## Camera calibration
|
||||||
> _**Calculate camera intrinsic properties and extrinsic locations and positions.\
|
> _**Calculate camera intrinsic properties and extrinsic locations and positions.\
|
||||||
> Convert a preexisting calibration file, or calculate intrinsic and extrinsic parameters from scratch.**_ \
|
> Convert a preexisting calibration file, or calculate intrinsic and extrinsic parameters from scratch.**_ \
|
||||||
> _**N.B.:**_ You can visualize camera calibration in 3D with my (experimental) [Maya-Mocap tool](https://github.com/davidpagnon/Maya-Mocap).
|
> _**N.B.:**_ You can visualize camera calibration in 3D with my (experimental) [Maya-Mocap tool](https://github.com/davidpagnon/Maya-Mocap).
|
||||||
|
|
||||||
Open an Anaconda prompt or a terminal, type `ipython`.\
|
Open an Anaconda prompt or a terminal in a `Session`, `Participant`, or `Trial` folder.\
|
||||||
By default, `calibration()` will look for `Config.toml` in the `User` folder of your current directory. If you want to store it somewhere else (e.g. in your data directory), specify this path as an argument: `Pose2Sim.calibration(r'path_to_config.toml')`.
|
Type `ipython`.
|
||||||
|
|
||||||
|
|
||||||
``` python
|
``` python
|
||||||
from Pose2Sim import Pose2Sim
|
from Pose2Sim import Pose2Sim
|
||||||
@ -170,50 +186,52 @@ Output:\
|
|||||||
<img src="Content/Calib2D.png" width="760">
|
<img src="Content/Calib2D.png" width="760">
|
||||||
<img src="Content/CalibFile.png" width="760">
|
<img src="Content/CalibFile.png" width="760">
|
||||||
|
|
||||||
|
|
||||||
### Convert from Qualisys, Optitrack, Vicon, OpenCap, EasyMocap, or bioCV
|
### Convert from Qualisys, Optitrack, Vicon, OpenCap, EasyMocap, or bioCV
|
||||||
|
|
||||||
If you already have a calibration file, set `calibration_type` type to `convert` in your [User\Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Empty_project/User/Config.toml) file.
|
If you already have a calibration file, set `calibration_type` type to `convert` in your [Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Empty_project/User/Config.toml) file.
|
||||||
- **From [Qualisys](https://www.qualisys.com):**
|
- **From [Qualisys](https://www.qualisys.com):**
|
||||||
- Export calibration to `.qca.txt` within QTM.
|
- Export calibration to `.qca.txt` within QTM.
|
||||||
- Copy it in the `calibration` Pose2Sim folder.
|
- Copy it in the `Calibration` Pose2Sim folder.
|
||||||
- set `convert_from` to 'qualisys' in your [User\Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Empty_project/User/Config.toml) file. Change `binning_factor` to 2 if you film in 540p.
|
- set `convert_from` to 'qualisys' in your [Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Demo/S01_Empty_Session/Config.toml) file. Change `binning_factor` to 2 if you film in 540p.
|
||||||
- **From [Optitrack](https://optitrack.com/):** Exporting calibration will be available in Motive 3.2. In the meantime:
|
- **From [Optitrack](https://optitrack.com/):** Exporting calibration will be available in Motive 3.2. In the meantime:
|
||||||
- Calculate intrinsics with a board (see next section).
|
- Calculate intrinsics with a board (see next section).
|
||||||
- Use their C++ API [to retrieve extrinsic properties](https://docs.optitrack.com/developer-tools/motive-api/motive-api-function-reference#tt_cameraxlocation). Translation can be copied as is in your `Calib.toml` file, but TT_CameraOrientationMatrix first needs to be [converted to a Rodrigues vector](https://docs.opencv.org/3.4/d9/d0c/group__calib3d.html#ga61585db663d9da06b68e70cfbf6a1eac) with OpenCV. See instructions [here](https://github.com/perfanalytics/pose2sim/issues/28).
|
- Use their C++ API [to retrieve extrinsic properties](https://docs.optitrack.com/developer-tools/motive-api/motive-api-function-reference#tt_cameraxlocation). Translation can be copied as is in your `Calib.toml` file, but TT_CameraOrientationMatrix first needs to be [converted to a Rodrigues vector](https://docs.opencv.org/3.4/d9/d0c/group__calib3d.html#ga61585db663d9da06b68e70cfbf6a1eac) with OpenCV. See instructions [here](https://github.com/perfanalytics/pose2sim/issues/28).
|
||||||
- Use the `Calib.toml` file as is and do not run Pose2Sim.calibration()
|
- Use the `Calib.toml` file as is and do not run Pose2Sim.calibration()
|
||||||
- **From [Vicon](http://www.vicon.com/Software/Nexus):**
|
- **From [Vicon](http://www.vicon.com/Software/Nexus):**
|
||||||
- Copy your `.xcp` Vicon calibration file to the Pose2Sim `Calibration` folder.
|
- Copy your `.xcp` Vicon calibration file to the Pose2Sim `Calibration` folder.
|
||||||
- set `convert_from` to 'vicon' in your [User\Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Empty_project/User/Config.toml) file. No other setting is needed.
|
- set `convert_from` to 'vicon' in your [Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Demo/S01_Empty_Session/Config.toml) file. No other setting is needed.
|
||||||
- **From [OpenCap](https://www.opencap.ai/):**
|
- **From [OpenCap](https://www.opencap.ai/):**
|
||||||
- Copy your `.pickle` OpenCap calibration files to the Pose2Sim `Calibration` folder.
|
- Copy your `.pickle` OpenCap calibration files to the Pose2Sim `Calibration` folder.
|
||||||
- set `convert_from` to 'opencap' in your [User\Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Empty_project/User/Config.toml) file. No other setting is needed.
|
- set `convert_from` to 'opencap' in your [Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Demo/S01_Empty_Session/Config.toml) file. No other setting is needed.
|
||||||
- **From [EasyMocap](https://github.com/zju3dv/EasyMocap/):**
|
- **From [EasyMocap](https://github.com/zju3dv/EasyMocap/):**
|
||||||
- Copy your `intri.yml` and `extri.yml` files to the Pose2Sim `Calibration` folder.
|
- Copy your `intri.yml` and `extri.yml` files to the Pose2Sim `Calibration` folder.
|
||||||
- set `convert_from` to 'easymocap' in your [User\Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Empty_project/User/Config.toml) file. No other setting is needed.
|
- set `convert_from` to 'easymocap' in your [Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Demo/S01_Empty_Session/Config.toml) file. No other setting is needed.
|
||||||
- **From [bioCV](https://github.com/camera-mc-dev/.github/blob/main/profile/mocapPipe.md):**
|
- **From [bioCV](https://github.com/camera-mc-dev/.github/blob/main/profile/mocapPipe.md):**
|
||||||
- Copy your bioCV calibration files (no extension) to the Pose2Sim `Calibration` folder.
|
- Copy your bioCV calibration files (no extension) to the Pose2Sim `Calibration` folder.
|
||||||
- set `convert_from` to 'biocv' in your [User\Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Empty_project/User/Config.toml) file. No other setting is needed.
|
- set `convert_from` to 'biocv' in your [Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Demo/S01_Empty_Session/Config.toml) file. No other setting is needed.
|
||||||
- **From [AniPose](https://github.com/lambdaloop/anipose) or [FreeMocap](https://github.com/freemocap/freemocap):**
|
- **From [AniPose](https://github.com/lambdaloop/anipose) or [FreeMocap](https://github.com/freemocap/freemocap):**
|
||||||
- Copy your `.toml` calibration file to the Pose2Sim `Calibration` folder.
|
- Copy your `.toml` calibration file to the Pose2Sim `Calibration` folder.
|
||||||
- Calibration can be skipped since Pose2Sim uses the same [Aniposelib](https://anipose.readthedocs.io/en/latest/aniposelibtutorial.html) format.
|
- Calibration can be skipped since Pose2Sim uses the same [Aniposelib](https://anipose.readthedocs.io/en/latest/aniposelibtutorial.html) format.
|
||||||
|
|
||||||
|
</br>
|
||||||
|
|
||||||
### Calculate from scratch
|
### Calculate from scratch
|
||||||
|
|
||||||
> _**Calculate calibration parameters with a checkerboard, with measurements on the scene, or automatically with detected keypoints.**_\
|
> _**Calculate calibration parameters with a checkerboard, with measurements on the scene, or automatically with detected keypoints.**_\
|
||||||
> Take heart, it is not that complicated once you get the hang of it!
|
> Take heart, it is not that complicated once you get the hang of it!
|
||||||
|
|
||||||
> *N.B.:* Try the calibration tool on the Demo by changing `calibration_type` to `calculate` in [User\Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Empty_project/User/Config.toml).\
|
> *N.B.:* Try the calibration tool on the Demo by changing `calibration_type` to `calculate` in [Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Demo/S01_Empty_Session/Config.toml).\
|
||||||
For the sake of practicality, there are voluntarily few board images for intrinsic calibration, and few points to click for extrinsic calibration. In spite of this, your reprojection error should be under 1-2 cm, which [does not hinder the quality of kinematic results in practice](https://www.mdpi.com/1424-8220/21/19/6530/htm#:~:text=Angle%20results%20were,Table%203).).
|
For the sake of practicality, there are voluntarily few board images for intrinsic calibration, and few points to click for extrinsic calibration. In spite of this, your reprojection error should be under 1-2 cm, which [does not hinder the quality of kinematic results in practice](https://www.mdpi.com/1424-8220/21/19/6530/htm#:~:text=Angle%20results%20were,Table%203).).
|
||||||
|
|
||||||
- **Calculate intrinsic parameters with a checkerboard:**
|
- **Calculate intrinsic parameters with a checkerboard:**
|
||||||
|
|
||||||
> *N.B.:* _Intrinsic parameters:_ camera properties (focal length, optical center, distortion), usually need to be calculated only once in their lifetime. In theory, cameras with same model and same settings will have identical intrinsic parameters.\
|
> *N.B.:* _Intrinsic parameters:_ camera properties (focal length, optical center, distortion), usually need to be calculated only once in their lifetime. In theory, cameras with same model and same settings will have identical intrinsic parameters.\
|
||||||
> *N.B.:* If you already calculated intrinsic parameters earlier, you can skip this step. Copy your intrinsic parameters (`size`, `mat`, and `dist`) in a new `Calib*.toml` file, and set `overwrite_intrinsics` to false. Run Demo to obtain an example `Calib.toml` file.
|
> *N.B.:* If you already calculated intrinsic parameters earlier, you can skip this step by setting `overwrite_intrinsics` to false.
|
||||||
|
|
||||||
- Create a folder for each camera in your `calibration\intrinsics` folder.
|
- Create a folder for each camera in your `calibration\intrinsics` folder.
|
||||||
- For each camera, film a checkerboard or a charucoboard. Either the board or the camera can be moved.
|
- For each camera, film a checkerboard or a charucoboard. Either the board or the camera can be moved.
|
||||||
- Adjust parameters in the [User\Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Empty_project/User/Config.toml) file.
|
- Adjust parameters in the [Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Demo/S01_Empty_Session/Config.toml) file.
|
||||||
- Make sure that the board:
|
- Make sure that the board:
|
||||||
- is filmed from different angles, covers a large part of the video frame, and is in focus.
|
- is filmed from different angles, covers a large part of the video frame, and is in focus.
|
||||||
- is flat, without reflections, surrounded by a white border, and is not rotationally invariant (Nrows ≠ Ncols, and Nrows odd if Ncols even).
|
- is flat, without reflections, surrounded by a white border, and is not rotationally invariant (Nrows ≠ Ncols, and Nrows odd if Ncols even).
|
||||||
@ -227,10 +245,10 @@ If you already have a calibration file, set `calibration_type` type to `convert`
|
|||||||
|
|
||||||
> *N.B.:* _Extrinsic parameters:_ camera placement in space (position and orientation), need to be calculated every time a camera is moved. Can be calculated from a board, or from points in the scene with known coordinates.
|
> *N.B.:* _Extrinsic parameters:_ camera placement in space (position and orientation), need to be calculated every time a camera is moved. Can be calculated from a board, or from points in the scene with known coordinates.
|
||||||
|
|
||||||
- Create a folder for each camera in your `calibration\extrinsics` folder.
|
- Create a folder for each camera in your `Calibration\extrinsics` folder.
|
||||||
- Once your cameras are in place, shortly film either a board laid on the floor, or the raw scene\
|
- Once your cameras are in place, shortly film either a board laid on the floor, or the raw scene\
|
||||||
(only one frame is needed, but do not just take a photo unless you are sure it does not change the image format).
|
(only one frame is needed, but do not just take a photo unless you are sure it does not change the image format).
|
||||||
- Adjust parameters in the [User\Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Empty_project/User/Config.toml) file.
|
- Adjust parameters in the [Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Demo/S01_Empty_Session/Config.toml) file.
|
||||||
- Then,
|
- Then,
|
||||||
- **With a checkerboard:**\
|
- **With a checkerboard:**\
|
||||||
Make sure that it is seen by all cameras. \
|
Make sure that it is seen by all cameras. \
|
||||||
@ -246,44 +264,7 @@ If you already have a calibration file, set `calibration_type` type to `convert`
|
|||||||
|
|
||||||
***Extrinsic calibration error should be below 1 cm, but depending on your application, results will still be potentially acceptable up to 2.5 cm.***
|
***Extrinsic calibration error should be below 1 cm, but depending on your application, results will still be potentially acceptable up to 2.5 cm.***
|
||||||
|
|
||||||
|
</br>
|
||||||
<details>
|
|
||||||
<summary>The project hierarchy becomes: (CLICK TO SHOW)</summary>
|
|
||||||
<pre>
|
|
||||||
Project
|
|
||||||
│
|
|
||||||
├──<i><b>calibration
|
|
||||||
│ ├──intrinsics
|
|
||||||
│ │ ├──int_cam1_img
|
|
||||||
│ │ ├──...
|
|
||||||
│ │ └──int_camN_img
|
|
||||||
│ ├──extrinsics
|
|
||||||
│ │ ├──ext_cam1_img
|
|
||||||
│ │ ├──...
|
|
||||||
│ │ └──ext_camN_img
|
|
||||||
│ └──Calib.toml</i></b>
|
|
||||||
│
|
|
||||||
├──opensim
|
|
||||||
│ ├──Geometry
|
|
||||||
│ ├──Model_Pose2Sim_Body25b.osim
|
|
||||||
│ ├──Scaling_Setup_Pose2Sim_Body25b.xml
|
|
||||||
│ └──IK_Setup_Pose2Sim_Body25b.xml
|
|
||||||
│
|
|
||||||
├──pose-2d
|
|
||||||
│ ├──pose_cam1_json
|
|
||||||
│ ├──...
|
|
||||||
│ └──pose_camN_json
|
|
||||||
│
|
|
||||||
├── videos
|
|
||||||
│ ├──vid_cam1.mp4
|
|
||||||
│ ├──...
|
|
||||||
│ └──vid_camN.mp4
|
|
||||||
│
|
|
||||||
└──User
|
|
||||||
└──Config.toml
|
|
||||||
</pre>
|
|
||||||
</details>
|
|
||||||
|
|
||||||
|
|
||||||
## 2D pose estimation
|
## 2D pose estimation
|
||||||
> _**Estimate 2D pose from images with Openpose or another pose estimation solution.**_ \
|
> _**Estimate 2D pose from images with Openpose or another pose estimation solution.**_ \
|
||||||
@ -295,12 +276,12 @@ The accuracy and robustness of Pose2Sim have been thoroughly assessed only with
|
|||||||
* Open a command prompt in your **OpenPose** directory. \
|
* Open a command prompt in your **OpenPose** directory. \
|
||||||
Launch OpenPose for each `videos` folder:
|
Launch OpenPose for each `videos` folder:
|
||||||
``` cmd
|
``` cmd
|
||||||
bin\OpenPoseDemo.exe --model_pose BODY_25B --video <PATH_TO_PROJECT_DIR>\videos\vid_cam1.mp4 --write_json <PATH_TO_PROJECT_DIR>\pose\pose_cam1_json
|
bin\OpenPoseDemo.exe --model_pose BODY_25B --video <PATH_TO_TRIAL_DIR>\videos\vid_cam1.mp4 --write_json <PATH_TO_TRIAL_DIR>\pose\pose_cam1_json
|
||||||
```
|
```
|
||||||
* The [BODY_25B model](https://github.com/CMU-Perceptual-Computing-Lab/openpose_train/tree/master/experimental_models) has more accurate results than the standard BODY_25 one and has been extensively tested for Pose2Sim. \
|
* The [BODY_25B model](https://github.com/CMU-Perceptual-Computing-Lab/openpose_train/tree/master/experimental_models) has more accurate results than the standard BODY_25 one and has been extensively tested for Pose2Sim. \
|
||||||
You can also use the [BODY_135 model](https://github.com/CMU-Perceptual-Computing-Lab/openpose_train/tree/master/experimental_models), which allows for the evaluation of pronation/supination, wrist flexion, and wrist deviation.\
|
You can also use the [BODY_135 model](https://github.com/CMU-Perceptual-Computing-Lab/openpose_train/tree/master/experimental_models), which allows for the evaluation of pronation/supination, wrist flexion, and wrist deviation.\
|
||||||
All other OpenPose models (BODY_25, COCO, MPII) are also supported.\
|
All other OpenPose models (BODY_25, COCO, MPII) are also supported.\
|
||||||
Make sure you modify the [User\Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Empty_project/User/Config.toml) file accordingly.
|
Make sure you modify the [Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Demo/S01_Empty_Session/Config.toml) file accordingly.
|
||||||
* Use one of the `json_display_with_img.py` or `json_display_with_img.py` scripts (see [Utilities](#utilities)) if you want to display 2D pose detections.
|
* Use one of the `json_display_with_img.py` or `json_display_with_img.py` scripts (see [Utilities](#utilities)) if you want to display 2D pose detections.
|
||||||
|
|
||||||
**N.B.:** *OpenPose BODY_25B is the default 2D pose estimation model used in Pose2Sim. However, other skeleton models from other 2D pose estimation solutions can be used alternatively.*
|
**N.B.:** *OpenPose BODY_25B is the default 2D pose estimation model used in Pose2Sim. However, other skeleton models from other 2D pose estimation solutions can be used alternatively.*
|
||||||
@ -312,10 +293,10 @@ Make sure you modify the [User\Config.toml](https://github.com/perfanalytics/pos
|
|||||||
However, it is less robust and accurate than OpenPose, and can only detect a single person.
|
However, it is less robust and accurate than OpenPose, and can only detect a single person.
|
||||||
* Use the script `Blazepose_runsave.py` (see [Utilities](#utilities)) to run BlazePose under Python, and store the detected coordinates in OpenPose (json) or DeepLabCut (h5 or csv) format:
|
* Use the script `Blazepose_runsave.py` (see [Utilities](#utilities)) to run BlazePose under Python, and store the detected coordinates in OpenPose (json) or DeepLabCut (h5 or csv) format:
|
||||||
``` cmd
|
``` cmd
|
||||||
python -m Blazepose_runsave -i rinput_file -dJs
|
python -m Blazepose_runsave -i input_file -dJs
|
||||||
```
|
```
|
||||||
Type in `python -m Blazepose_runsave -h` for explanation on parameters.
|
Type in `python -m Blazepose_runsave -h` for explanation on parameters.
|
||||||
* Make sure you changed the `pose_model` and the `tracked_keypoint` in the [User\Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Empty_project/User/Config.toml) file.
|
* Make sure you changed the `pose_model` and the `tracked_keypoint` in the [Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Demo/S01_Empty_Session/Config.toml) file.
|
||||||
|
|
||||||
### With DeepLabCut:
|
### With DeepLabCut:
|
||||||
If you need to detect specific points on a human being, an animal, or an object, you can also train your own model with [DeepLabCut](https://github.com/DeepLabCut/DeepLabCut).
|
If you need to detect specific points on a human being, an animal, or an object, you can also train your own model with [DeepLabCut](https://github.com/DeepLabCut/DeepLabCut).
|
||||||
@ -324,7 +305,7 @@ If you need to detect specific points on a human being, an animal, or an object,
|
|||||||
``` cmd
|
``` cmd
|
||||||
python -m DLC_to_OpenPose -i input_h5_file
|
python -m DLC_to_OpenPose -i input_h5_file
|
||||||
```
|
```
|
||||||
3. Edit `pose.CUSTOM` in [User\Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Empty_project/User/Config.toml), and edit the node ids so that they correspond to the column numbers of the 2D pose file, starting from zero. Make sure you also changed the `pose_model` and the `tracked_keypoint`.\
|
3. Edit `pose.CUSTOM` in [Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Demo/S01_Empty_Session/Config.toml), and edit the node ids so that they correspond to the column numbers of the 2D pose file, starting from zero. Make sure you also changed the `pose_model` and the `tracked_keypoint`.\
|
||||||
You can visualize your skeleton's hierarchy by changing pose_model to CUSTOM and writing these lines:
|
You can visualize your skeleton's hierarchy by changing pose_model to CUSTOM and writing these lines:
|
||||||
``` python
|
``` python
|
||||||
config_path = r'path_to_Config.toml'
|
config_path = r'path_to_Config.toml'
|
||||||
@ -345,34 +326,9 @@ All AlphaPose models are supported (HALPE_26, HALPE_68, HALPE_136, COCO_133, COC
|
|||||||
``` cmd
|
``` cmd
|
||||||
python -m AlphaPose_to_OpenPose -i input_alphapose_json_file
|
python -m AlphaPose_to_OpenPose -i input_alphapose_json_file
|
||||||
```
|
```
|
||||||
* Make sure you changed the `pose_model` and the `tracked_keypoint` in the [User\Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Empty_project/User/Config.toml) file.
|
* Make sure you changed the `pose_model` and the `tracked_keypoint` in the [Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Demo/S01_Empty_Session/Config.toml) file.
|
||||||
|
|
||||||
<details>
|
|
||||||
<summary>The project hierarchy becomes: (CLICK TO SHOW)</summary>
|
|
||||||
<pre>
|
|
||||||
Project
|
|
||||||
│
|
|
||||||
├──opensim
|
|
||||||
│ ├──Geometry
|
|
||||||
│ ├──Model_Pose2Sim_Body25b.osim
|
|
||||||
│ ├──Scaling_Setup_Pose2Sim_Body25b.xml
|
|
||||||
│ └──IK_Setup_Pose2Sim_Body25b.xml
|
|
||||||
│
|
|
||||||
<i><b>├──pose-2d
|
|
||||||
│ ├──pose_cam1_json
|
|
||||||
│ ├──...
|
|
||||||
│ └──pose_camN_json</i></b>
|
|
||||||
│
|
|
||||||
├── videos
|
|
||||||
│ ├──vid_cam1.mp4
|
|
||||||
│ ├──...
|
|
||||||
│ └──vid_camN.mp4
|
|
||||||
│
|
|
||||||
└──User
|
|
||||||
└──Config.toml
|
|
||||||
</pre>
|
|
||||||
</details>
|
|
||||||
|
|
||||||
|
</br>
|
||||||
|
|
||||||
## Camera synchronization
|
## Camera synchronization
|
||||||
|
|
||||||
@ -382,6 +338,7 @@ All AlphaPose models are supported (HALPE_26, HALPE_68, HALPE_136, COCO_133, COC
|
|||||||
If your cameras are not natively synchronized, you can use [this script](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Utilities/synchronize_cams_draft.py). This is still a draft, and will be updated in the future.\
|
If your cameras are not natively synchronized, you can use [this script](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Utilities/synchronize_cams_draft.py). This is still a draft, and will be updated in the future.\
|
||||||
Alternatively, use a flashlight or a clap to synchronize them. GoPro cameras can also be synchronized with a timecode, by GPS (outdoors) or with a remote control (slightly less reliable).
|
Alternatively, use a flashlight or a clap to synchronize them. GoPro cameras can also be synchronized with a timecode, by GPS (outdoors) or with a remote control (slightly less reliable).
|
||||||
|
|
||||||
|
</br>
|
||||||
|
|
||||||
## Tracking, Triangulating, Filtering
|
## Tracking, Triangulating, Filtering
|
||||||
|
|
||||||
@ -392,67 +349,26 @@ Alternatively, use a flashlight or a clap to synchronize them. GoPro cameras can
|
|||||||
> [Want to contribute?](#how-to-contribute) _**Allow for multiple person analysis.**_
|
> [Want to contribute?](#how-to-contribute) _**Allow for multiple person analysis.**_
|
||||||
|
|
||||||
|
|
||||||
Open an Anaconda prompt or a terminal, type `ipython`.\
|
Open an Anaconda prompt or a terminal in a `Session`, `Participant`, or `Trial` folder.\
|
||||||
By default, `personAssociation()` will look for `Config.toml` in the `User` folder of your current directory. If you want to store it somewhere else (e.g. in your data directory), specify this path as an argument: `Pose2Sim.personAssociation(r'path_to_config.toml')`.
|
Type `ipython`.
|
||||||
``` python
|
``` python
|
||||||
from Pose2Sim import Pose2Sim
|
from Pose2Sim import Pose2Sim
|
||||||
Pose2Sim.personAssociation()
|
Pose2Sim.personAssociation()
|
||||||
```
|
```
|
||||||
|
|
||||||
Check printed output. If results are not satisfying, try and release the constraints in the [User\Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Empty_project/User/Config.toml) file.
|
Check printed output. If results are not satisfying, try and release the constraints in the [Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Demo/S01_Empty_Session/Config.toml) file.
|
||||||
|
|
||||||
Output:\
|
Output:\
|
||||||
<img src="Content/Track2D.png" width="760">
|
<img src="Content/Track2D.png" width="760">
|
||||||
|
|
||||||
<details>
|
</br>
|
||||||
<summary>The project hierarchy becomes: (CLICK TO SHOW)</summary>
|
|
||||||
<pre>
|
|
||||||
Project
|
|
||||||
│
|
|
||||||
├──calibration
|
|
||||||
│ ├──intrinsics
|
|
||||||
│ │ ├──int_cam1_img
|
|
||||||
│ │ ├──...
|
|
||||||
│ │ └──int_camN_img
|
|
||||||
│ ├──extrinsics
|
|
||||||
│ │ ├──ext_cam1_img
|
|
||||||
│ │ ├──...
|
|
||||||
│ │ └──ext_camN_img
|
|
||||||
│ └──Calib.toml
|
|
||||||
│
|
|
||||||
├──opensim
|
|
||||||
│ ├──Geometry
|
|
||||||
│ ├──Model_Pose2Sim_Body25b.osim
|
|
||||||
│ ├──Scaling_Setup_Pose2Sim_Body25b.xml
|
|
||||||
│ └──IK_Setup_Pose2Sim_Body25b.xml
|
|
||||||
│
|
|
||||||
├──pose-2d
|
|
||||||
│ ├──pose_cam1_json
|
|
||||||
│ ├──...
|
|
||||||
│ └──pose_camN_json
|
|
||||||
│
|
|
||||||
<i><b>├──pose-2d-tracked
|
|
||||||
│ ├──tracked_cam1_json
|
|
||||||
│ ├──...
|
|
||||||
│ └──tracked_camN_json</i></b>
|
|
||||||
│
|
|
||||||
├── videos
|
|
||||||
│ ├──vid_cam1.mp4
|
|
||||||
│ ├──...
|
|
||||||
│ └──vid_camN.mp4
|
|
||||||
│
|
|
||||||
└──User
|
|
||||||
└──Config.toml
|
|
||||||
</pre>
|
|
||||||
</details>
|
|
||||||
|
|
||||||
|
|
||||||
### Triangulating keypoints
|
### Triangulating keypoints
|
||||||
> _**Triangulate your 2D coordinates in a robust way.**_ \
|
> _**Triangulate your 2D coordinates in a robust way.**_ \
|
||||||
> _**N.B.:**_ You can visualize your resulting 3D coordinates with my (experimental) [Maya-Mocap tool](https://github.com/davidpagnon/Maya-Mocap).
|
> _**N.B.:**_ You can visualize your resulting 3D coordinates with my (experimental) [Maya-Mocap tool](https://github.com/davidpagnon/Maya-Mocap).
|
||||||
|
|
||||||
Open an Anaconda prompt or a terminal, type `ipython`.\
|
Open an Anaconda prompt or a terminal in a `Session`, `Participant`, or `Trial` folder.\
|
||||||
By default, `triangulation()` will look for `Config.toml` in the `User` folder of your current directory. If you want to store it somewhere else (e.g. in your data directory), specify this path as an argument: `Pose2Sim.triangulation(r'path_to_config.toml')`.
|
Type `ipython`.
|
||||||
|
|
||||||
``` python
|
``` python
|
||||||
from Pose2Sim import Pose2Sim
|
from Pose2Sim import Pose2Sim
|
||||||
@ -465,122 +381,32 @@ If your triangulation is not satisfying, try and release the constraints in the
|
|||||||
Output:\
|
Output:\
|
||||||
<img src="Content/Triangulate3D.png" width="760">
|
<img src="Content/Triangulate3D.png" width="760">
|
||||||
|
|
||||||
|
</br>
|
||||||
<details>
|
|
||||||
<summary>The project hierarchy becomes: (CLICK TO SHOW)</summary>
|
|
||||||
<pre>
|
|
||||||
Project
|
|
||||||
│
|
|
||||||
├──calibration
|
|
||||||
│ ├──intrinsics
|
|
||||||
│ │ ├──int_cam1_img
|
|
||||||
│ │ ├──...
|
|
||||||
│ │ └──int_camN_img
|
|
||||||
│ ├──extrinsics
|
|
||||||
│ │ ├──ext_cam1_img
|
|
||||||
│ │ ├──...
|
|
||||||
│ │ └──ext_camN_img
|
|
||||||
│ └──Calib.toml
|
|
||||||
│
|
|
||||||
├──opensim
|
|
||||||
│ ├──Geometry
|
|
||||||
│ ├──Model_Pose2Sim_Body25b.osim
|
|
||||||
│ ├──Scaling_Setup_Pose2Sim_Body25b.xml
|
|
||||||
│ └──IK_Setup_Pose2Sim_Body25b.xml
|
|
||||||
│
|
|
||||||
├──pose-2d
|
|
||||||
│ ├──pose_cam1_json
|
|
||||||
│ ├──...
|
|
||||||
│ └──pose_camN_json
|
|
||||||
│
|
|
||||||
├──pose-2d-tracked
|
|
||||||
│ ├──tracked_cam1_json
|
|
||||||
│ ├──...
|
|
||||||
│ └──tracked_camN_json
|
|
||||||
│
|
|
||||||
<i><b>├──pose-3d
|
|
||||||
└──Pose-3d.trc</i></b>>
|
|
||||||
│
|
|
||||||
├── videos
|
|
||||||
│ ├──vid_cam1.mp4
|
|
||||||
│ ├──...
|
|
||||||
│ └──vid_camN.mp4
|
|
||||||
│
|
|
||||||
└──User
|
|
||||||
└──Config.toml
|
|
||||||
</pre>
|
|
||||||
</details>
|
|
||||||
|
|
||||||
|
|
||||||
### Filtering 3D coordinates
|
### Filtering 3D coordinates
|
||||||
> _**Filter your 3D coordinates.**_\
|
> _**Filter your 3D coordinates.**_\
|
||||||
> _**N.B.:**_ You can visualize your resulting filtered 3D coordinates with my (experimental) [Maya-Mocap tool](https://github.com/davidpagnon/Maya-Mocap).
|
> _**N.B.:**_ You can visualize your resulting filtered 3D coordinates with my (experimental) [Maya-Mocap tool](https://github.com/davidpagnon/Maya-Mocap).
|
||||||
|
|
||||||
Open an Anaconda prompt or a terminal, type `ipython`.\
|
Open an Anaconda prompt or a terminal in a `Session`, `Participant`, or `Trial` folder.\
|
||||||
By default, `filtering()` will look for `Config.toml` in the `User` folder of your current directory. If you want to store it somewhere else (e.g. in your data directory), specify this path as an argument: `Pose2Sim.filtering(r'path_to_config.toml')`.
|
Type `ipython`.
|
||||||
|
|
||||||
``` python
|
``` python
|
||||||
from Pose2Sim import Pose2Sim
|
from Pose2Sim import Pose2Sim
|
||||||
Pose2Sim.filtering()
|
Pose2Sim.filtering()
|
||||||
```
|
```
|
||||||
|
|
||||||
Check your filtration with the displayed figures, and vizualise your trc in OpenSim. If your filtering is not satisfying, try and change the parameters in the `Config.toml` file.
|
Check your filtration with the displayed figures, and visualize your .trc file in OpenSim. If your filtering is not satisfying, try and change the parameters in the `Config.toml` file.
|
||||||
|
|
||||||
Output:\
|
Output:\
|
||||||
<img src="Content/FilterPlot.png" width="760">
|
<img src="Content/FilterPlot.png" width="760">
|
||||||
|
|
||||||
<img src="Content/Filter3D.png" width="760">
|
<img src="Content/Filter3D.png" width="760">
|
||||||
|
|
||||||
|
</br>
|
||||||
<details>
|
|
||||||
<summary>The project hierarchy becomes: (CLICK TO SHOW)</summary>
|
|
||||||
<pre>
|
|
||||||
Project
|
|
||||||
│
|
|
||||||
├──calibration
|
|
||||||
│ ├──intrinsics
|
|
||||||
│ │ ├──int_cam1_img
|
|
||||||
│ │ ├──...
|
|
||||||
│ │ └──int_camN_img
|
|
||||||
│ ├──extrinsics
|
|
||||||
│ │ ├──ext_cam1_img
|
|
||||||
│ │ ├──...
|
|
||||||
│ │ └──ext_camN_img
|
|
||||||
│ └──Calib.toml
|
|
||||||
│
|
|
||||||
├──opensim
|
|
||||||
│ ├──Geometry
|
|
||||||
│ ├──Model_Pose2Sim_Body25b.osim
|
|
||||||
│ ├──Scaling_Setup_Pose2Sim_Body25b.xml
|
|
||||||
│ └──IK_Setup_Pose2Sim_Body25b.xml
|
|
||||||
│
|
|
||||||
├──pose-2d
|
|
||||||
│ ├──pose_cam1_json
|
|
||||||
│ ├──...
|
|
||||||
│ └──pose_camN_json
|
|
||||||
│
|
|
||||||
├──pose-2d-tracked
|
|
||||||
│ ├──tracked_cam1_json
|
|
||||||
│ ├──...
|
|
||||||
│ └──tracked_camN_json
|
|
||||||
│
|
|
||||||
<i><b>├──pose-3d
|
|
||||||
│ ├──Pose-3d.trc
|
|
||||||
│ └──Pose-3d-filtered.trc</i></b>
|
|
||||||
│
|
|
||||||
├── videos
|
|
||||||
│ ├──vid_cam1.mp4
|
|
||||||
│ ├──...
|
|
||||||
│ └──vid_camN.mp4
|
|
||||||
│
|
|
||||||
└──User
|
|
||||||
└──Config.toml
|
|
||||||
</pre>
|
|
||||||
</details>
|
|
||||||
|
|
||||||
|
|
||||||
## OpenSim kinematics
|
## OpenSim kinematics
|
||||||
> _**Obtain 3D joint angles.**_
|
> _**Obtain 3D joint angles.**_\
|
||||||
|
> Your OpenSim .osim scaled model and .mot inverse kinematic results will be found in the OpenSim folder of your `Participant` directory.
|
||||||
|
|
||||||
### OpenSim Scaling
|
### OpenSim Scaling
|
||||||
1. Use the previous steps to capture a static pose, typically an A-pose or a T-pose.
|
1. Use the previous steps to capture a static pose, typically an A-pose or a T-pose.
|
||||||
@ -601,6 +427,7 @@ Output:\
|
|||||||
|
|
||||||
<img src="Content/OpenSim.JPG" width="380">
|
<img src="Content/OpenSim.JPG" width="380">
|
||||||
|
|
||||||
|
</br>
|
||||||
|
|
||||||
### Command line
|
### Command line
|
||||||
Alternatively, you can use command-line tools:
|
Alternatively, you can use command-line tools:
|
||||||
@ -632,85 +459,7 @@ Make sure to replace `py38np120` with your Python version (3.8 in this case) and
|
|||||||
```
|
```
|
||||||
You can also run other API commands. See [there](https://simtk-confluence.stanford.edu:8443/display/OpenSim/Common+Scripting+Commands#CommonScriptingCommands-UsingtheTools) for more instructions on how to use it.
|
You can also run other API commands. See [there](https://simtk-confluence.stanford.edu:8443/display/OpenSim/Common+Scripting+Commands#CommonScriptingCommands-UsingtheTools) for more instructions on how to use it.
|
||||||
|
|
||||||
<details>
|
</br>
|
||||||
<summary>The project hierarchy becomes: (CLICK TO SHOW)</summary>
|
|
||||||
<pre>
|
|
||||||
Project
|
|
||||||
│
|
|
||||||
├──calibration
|
|
||||||
│ ├──intrinsics
|
|
||||||
│ │ ├──int_cam1_img
|
|
||||||
│ │ ├──...
|
|
||||||
│ │ └──int_camN_img
|
|
||||||
│ ├──extrinsics
|
|
||||||
│ │ ├──ext_cam1_img
|
|
||||||
│ │ ├──...
|
|
||||||
│ │ └──ext_camN_img
|
|
||||||
│ └──Calib.toml
|
|
||||||
│
|
|
||||||
├──<i><b>opensim</i></b>
|
|
||||||
│ ├──Geometry
|
|
||||||
│ ├──Model_Pose2Sim_Body25b.osim
|
|
||||||
│ ├──Scaling_Setup_Pose2Sim_Body25b.xml
|
|
||||||
│ ├──<i><b>Model_Pose2Sim_Body25b_Scaled.osim</i></b>
|
|
||||||
│ ├──IK_Setup_Pose2Sim_Body25b.xml
|
|
||||||
│ └──<i><b>IK_result.mot</i></b>
|
|
||||||
│
|
|
||||||
├──pose
|
|
||||||
│ ├──pose_cam1_json
|
|
||||||
│ ├──...
|
|
||||||
│ └──pose_camN_json
|
|
||||||
│
|
|
||||||
├──pose-associated
|
|
||||||
│ ├──tracked_cam1_json
|
|
||||||
│ ├──...
|
|
||||||
│ └──tracked_camN_json
|
|
||||||
│
|
|
||||||
├──triangulation
|
|
||||||
│ ├──triangulation.trc
|
|
||||||
│ └──triangulation-filtered.trc
|
|
||||||
│
|
|
||||||
├── videos
|
|
||||||
│ ├──vid_cam1.mp4
|
|
||||||
│ ├──...
|
|
||||||
│ └──vid_camN.mp4
|
|
||||||
│
|
|
||||||
└──User
|
|
||||||
└──Config.toml
|
|
||||||
</pre>
|
|
||||||
</details>
|
|
||||||
|
|
||||||
|
|
||||||
## Batch processing
|
|
||||||
If you need to batch process multiple data or with multiple different parameters, you can run any Pose2Sim function with a `config` dictionary instead of a file. For example:
|
|
||||||
``` python
|
|
||||||
from Pose2Sim import Pose2Sim
|
|
||||||
import toml
|
|
||||||
|
|
||||||
config_dict = toml.load('User/Config.toml')
|
|
||||||
config_dict['project']['pose_folder_name'] = new_project_path
|
|
||||||
Pose2Sim.triangulate(config_dict)
|
|
||||||
```
|
|
||||||
Or into a loop:
|
|
||||||
``` python
|
|
||||||
from Pose2Sim import Pose2Sim
|
|
||||||
import toml
|
|
||||||
config_dict = toml.load('User/Config.toml')
|
|
||||||
|
|
||||||
# Change project_path
|
|
||||||
for new_project_path in new_project_paths:
|
|
||||||
config_dict['project']['project_dir'] = new_project_path
|
|
||||||
config_dict['filtering']['display_figures'] = False
|
|
||||||
|
|
||||||
# Run any Pose2Sim function with config_dict instead of a path
|
|
||||||
Pose2Sim.triangulation(config_dict)
|
|
||||||
|
|
||||||
# Now change filtering type
|
|
||||||
for new_filter in ['butterworth', 'kalman', 'gaussian']:
|
|
||||||
config_dict['filtering']['type'] = new_filter
|
|
||||||
Pose2Sim.filtering(config_dict)
|
|
||||||
```
|
|
||||||
|
|
||||||
|
|
||||||
# Utilities
|
# Utilities
|
||||||
A list of standalone tools (see [Utilities](https://github.com/perfanalytics/pose2sim/tree/main/Pose2Sim/Utilities)), which can be either run as scripts, or imported as functions. Check usage in the docstrings of each Python file. The figure below shows how some of these toolscan be used to further extend Pose2Sim usage.
|
A list of standalone tools (see [Utilities](https://github.com/perfanalytics/pose2sim/tree/main/Pose2Sim/Utilities)), which can be either run as scripts, or imported as functions. Check usage in the docstrings of each Python file. The figure below shows how some of these toolscan be used to further extend Pose2Sim usage.
|
||||||
@ -801,6 +550,8 @@ Converts a mot file to a .csv file with rotation and orientation of all segments
|
|||||||
|
|
||||||
<img src="Content/Pose2Sim_workflow_utilities.jpg" width="760">
|
<img src="Content/Pose2Sim_workflow_utilities.jpg" width="760">
|
||||||
|
|
||||||
|
</br>
|
||||||
|
|
||||||
# How to cite and how to contribute
|
# How to cite and how to contribute
|
||||||
### How to cite
|
### How to cite
|
||||||
If you use this code or data, please cite [Pagnon et al., 2022b](https://doi.org/10.21105/joss.04362), [Pagnon et al., 2022a](https://www.mdpi.com/1424-8220/22/7/2712), or [Pagnon et al., 2021](https://www.mdpi.com/1424-8220/21/19/6530).
|
If you use this code or data, please cite [Pagnon et al., 2022b](https://doi.org/10.21105/joss.04362), [Pagnon et al., 2022a](https://www.mdpi.com/1424-8220/22/7/2712), or [Pagnon et al., 2021](https://www.mdpi.com/1424-8220/21/19/6530).
|
||||||
@ -832,6 +583,8 @@ If you use this code or data, please cite [Pagnon et al., 2022b](https://doi.org
|
|||||||
URL = {https://www.mdpi.com/1424-8220/21/19/6530}
|
URL = {https://www.mdpi.com/1424-8220/21/19/6530}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
</br>
|
||||||
|
|
||||||
### How to contribute and to-do list
|
### How to contribute and to-do list
|
||||||
|
|
||||||
I would happily welcome any proposal for new features, code improvement, and more!\
|
I would happily welcome any proposal for new features, code improvement, and more!\
|
||||||
@ -917,6 +670,7 @@ You will be proposed a to-do list, but please feel absolutely free to propose yo
|
|||||||
|
|
||||||
▢ **Catch errors**
|
▢ **Catch errors**
|
||||||
✔ **Pip package**
|
✔ **Pip package**
|
||||||
|
▢ **Batch processing**
|
||||||
▢ **Conda package**
|
▢ **Conda package**
|
||||||
▢ **Docker image**
|
▢ **Docker image**
|
||||||
▢ Run pose estimation and OpenSim from within Pose2Sim
|
▢ Run pose estimation and OpenSim from within Pose2Sim
|
||||||
@ -947,7 +701,7 @@ You will be proposed a to-do list, but please feel absolutely free to propose yo
|
|||||||
- [x] v0.2: Published associated paper
|
- [x] v0.2: Published associated paper
|
||||||
- [x] v0.3: Supported other pose estimation algorithms
|
- [x] v0.3: Supported other pose estimation algorithms
|
||||||
- [x] v0.4: New calibration tool based on scene measurements
|
- [x] v0.4: New calibration tool based on scene measurements
|
||||||
- [ ] v0.5: Batch processing
|
- [x] v0.5: Batch processing
|
||||||
- [ ] v0.6: Calibration based on keypoint detection
|
- [ ] v0.6: Calibration based on keypoint detection
|
||||||
- [ ] v0.7: Supports multi-person analysis
|
- [ ] v0.7: Supports multi-person analysis
|
||||||
- [ ] v0.8: New synchronization tool
|
- [ ] v0.8: New synchronization tool
|
||||||
|
Loading…
Reference in New Issue
Block a user