From 366d8e872f4341074363c9d687f1907b54b9e967 Mon Sep 17 00:00:00 2001 From: shuaiqing Date: Wed, 21 Jul 2021 15:07:37 +0800 Subject: [PATCH] :memo: update figures --- Readme.md | 24 ++++++++++++++++++++---- doc/assets/ZJU-MoCap-lightstage.jpg | Bin 0 -> 294821 bytes 2 files changed, 20 insertions(+), 4 deletions(-) create mode 100644 doc/assets/ZJU-MoCap-lightstage.jpg diff --git a/Readme.md b/Readme.md index b5e49ec..97f8bef 100644 --- a/Readme.md +++ b/Readme.md @@ -2,7 +2,7 @@ * @Date: 2021-01-13 20:32:12 * @Author: Qing Shuai * @LastEditors: Qing Shuai - * @LastEditTime: 2021-07-12 15:27:41 + * @LastEditTime: 2021-07-21 15:04:22 * @FilePath: /EasyMocapRelease/Readme.md --> @@ -26,6 +26,8 @@ This is the basic code for fitting SMPL[1]/SMPL+H[2]/SMPL-X[3]/MANO[2] model to

+ +
Videos are from ZJU-MoCap, with 23 calibrated and synchronized cameras.
@@ -79,7 +81,17 @@ This is the basic code for fitting SMPL[1]/SMPL+H[2]/SMPL-X[3]/MANO[2] model to ## ZJU-MoCap -With out proposed method, we release two large dataset of human motion: LightStage and Mirrored-Human. See the [website](https://chingswy.github.io/Dataset-Demo/) for more details. +With our proposed method, we release two large dataset of human motion: LightStage and Mirrored-Human. See the [website](https://chingswy.github.io/Dataset-Demo/) for more details. + +
+
+ LightStage: captured with LightStage system +
+ +
+
+ Mirrored-Human: collected from the Internet +
## Other features @@ -126,12 +138,16 @@ Here are the great works this project is built upon: - `easymocap/estimator/YOLOv4`: an object detector[6](Coming soon) - `easymocap/estimator/HRNet` : a 2D human pose estimator[7](Coming soon) -We also would like to thank Wenduo Feng, Di Huang, Yuji Chen, Hao Xu, Qing Shuai, Qi Fang, Ting Xie, Junting Dong, Sida Peng and Xiaopeng Ji who are the performers in the sample data. - ## Contact Please open an issue if you have any questions. We appreciate all contributions to improve our project. +## Contributor + +EasyMocap is **authored by** [**Qing Shuai**](https://chingswy.github.io/), [**Qi Fang**](https://raypine.github.io/), [**Junting Dong**](https://jtdong.com/), [**Sida Peng**](https://pengsida.net/), [**Di Huang**](https://www.raaj.tech), [**Hujun Bao**](https://jhugestar.github.io), **and** [**Xiaowei Zhou**](https://xzhou.me/). + +We would like to thank Wenduo Feng, Di Huang, Yuji Chen, Hao Xu, Qing Shuai, Qi Fang, Ting Xie, Junting Dong, Sida Peng and Xiaopeng Ji who are the performers in the sample data. We would also like to thank all the people who has helped EasyMocap [in any way](https://github.com/zju3dv/EasyMocap/graphs/contributors). + ## Citation This project is a part of our work [iMocap](https://zju3dv.github.io/iMoCap/), [Mirrored-Human](https://zju3dv.github.io/Mirrored-Human/) and [Neural Body](https://zju3dv.github.io/neuralbody/) diff --git a/doc/assets/ZJU-MoCap-lightstage.jpg b/doc/assets/ZJU-MoCap-lightstage.jpg new file mode 100644 index 0000000000000000000000000000000000000000..1eaee60e468c3c96bfafe516b9f29ef7fbe8acf2 GIT binary patch literal 294821 zcmbTdXH-*P^fnlzDj*%CBLom>0s)jNBF%^h(nC>th@qDtO;L~*N)QkbkS;<%YA6Au zi!|vFdT3H22}p=i9De_I-kC4+VPy0Ffv@e@}FJ2 zV`99*^xud7Zt}l=dWn{rn)V7k9sU1w`Tx}X`wC!VpaIYTsHsE&m)NMN*{J^Y0E936 zr2QZFE}Z>eMs0!VSiY4h^gq?o(4=I8A%u@kQ_Oi|+w6Y_#mx6?Eu0OrOz< z`f@71N-bazyI0f6Wj00xDmnQ@UB1H2bB&izTtf1O)J>4Git6nS| z5f|G9u1o)o0sVits4fLxT-0ndwAU5r*mX?lpZRi#D!yXiyq8)~(|K7;$&AS5i=()M%wsP($PYsiLS_4>knAMrRcAwWYBr9Nd(XM9!A@4F+% z+@c+{JeYS``d5dbTk?kM1@c!{x+@X5Vf)&-;D0ezYSkQJMGkvk89) z+L50k+!x6lX8(yojaPkrWK8WaE|)!HIi}pE1qKgF&BVlexLP1S1X}`0@!Ci& z=F64s!grwH97?BU`HD=cW z=|%opeWJ9kF7M43pMO8UMtQZGoH+9$vnSWULd=m^Q!hn}Y|i+r#6WjTw_C6(-0yB?JCdFxlyFT$(SNB!l>m`LIvJ|bZy$1%>f ztb5UGzB{u^xMp_(>M#CoDIhaduhFmd>L1X_Z#&_vN-w}bjB$OK_h*E&6{)JG62aen zY^$FT_}R|5Xj`=<%6{0@b6iP}DXsW%!vxM}u|QGkdiZXnK!hYBbJZb}XktoY zVx_nn<+>+4`Z5lOGw*#nW@ehH?c@W00yDI>7y?_MwoB@9PO<&`@03b0%+D*8R*pNp zVnr%5tjyrr?u`=~YbrX!G`C(P{{$|YdxDqh+UNz{G5Og&TY$W3` zt0hgu#GNwZk>E}tRpQh+674Z_Xub1StHO?RJ2<_xA2+o=0w_MN{#M2%gYPN?wJuKy3M>*wG90XQOfPFaZk{mY!gB@#&d zVE5Hz0iKejRjpCZU63ODK%O-O$%LP_S?a@!d52}B8PWI=^SFtdMQg&G&?UBUiJJI* z^NyI2Y5OM@n3_f-ai91Jy9KPzd>`Yb@$cJwayE13>^HftU2*&CmeQBYc>Ye^j%zQt zqdtFc7oR_uh8J*T(Xhb_%A05J>eo*ayg}cpWe0V9g?=Bxy$OVBxN!Mpe{V)3-Xz4E zjKld+Ir^vwF2n?0C>0Nn?3!jBc3mORD(AD=frAC^jSugmW!N98Q(uQw>{>T|bkbPd zqk)Q5UDne+7%!U$ggf5L-LKbl*c^w-Zel{Ekc+%86kDaf0Zjva zrk7l8So;Y4RO!zJUQFf4ve-^mRvihd>o+$wP7r#Ik69sgCH4A-cos3LH;#(dX_C|d zv1(uFKHa-be^`O8-hHc=+->HWrj^fhFiQKbmOGx;l})BrzwAx0^>s_vPFJK35OBk? z{p0?RlD^Og^AC9pXHtf1lBDWK6aqmLz!T`{$Jzp%5s#ECc??GVfaZ zu$P#=j);w|lN+MwfUr(A6mz3^@K(qBu?-`d19XbV^bA+gXZ`A=F!d6IRgY}p&vU7X zqgd4UX&Z0QfH=Y|M0O1Y3qR1~K912x*r(b`Al~-^$2hZgbXEy3w(d5Qj2qtuOJunR zGB+$0W(@t%(HNBO<@iQ76>KfxYUbA^#Xt}3R%T|g9hW7@9odWSOv~O|CUCRc-Tj79 z@OC*Alc76WNNkPKH%}_8-)k46G>&#zw$t$hjc;38y@;O5Eg8vWs$e>9BtjOxF&2nt zt9x8RnPiN;O?Ez=+()nT9sG2L*xSw7m27<2XBzwBQH+eQW&07OCj4TOxSV*z!UD5W z+qJQF9QG|)oUQf5Jy-SpYzNV7RV@Dey;julp_!ZzkM(+Dg?_Pfa^!fcNm9f$is`Dn zpi%KDKdE3Q0O4fKW2(w>a|z5X8v1Q0WBON$U2V?$k0=FYtbZ|kW(H4cPi{RuZ0>{a z^Yg$TKas@wb5>2$qro#*4Sh@sQf_3%I0~%Z8f2u=m$ABGBkLf^##+wV6`1}C7I}j= zWbLKG-FsFMw~KRrs#HmxEJ~NP&qVO|633UjUueHh%sxHn^eu8&EcU5A}?CB9|fW>kFa4bJi_AdAsP1x6`%UM=Xa zx;!4MVd0N4um}jWqZFZ_me-u!gP(r-tZ1DFpl-V=tA1-N)<}6i%=$+J{m;KDZ-a^X z{V$R#!b2GcDrOgLzJO`0KN@y_AK>yNeorqFpzlev>2nGr%1xyV=t84M9?OU^2hNg4I^{j_uJbWL_8iYLzsc(5mi zB=@{3NhkO7X(YwYoU4Y3lUTkc$NxR<66RXM*?9^HPx4Lgz{EuKpGBz}+yqV^Jbg(% z?C0vaD#VMA@mP<$R(=U}-DcZw(5cd@Fe{~xP#LD~R5yfXf1_0FiZikV z>MiMS%B|4y-d^yHc2a5eZ_tZd7cf!%^wHUhQXA*S9LQ3%9qWmh1W+}Hrx4GV8QFS* zK7S69!veJm52Q)bbHlu!2Xl7a0o>@55=(;#CLv=4O$e7s6Ogly8ZYu>rk?k@eQMVq~c_AFh<|N_xNY@Uw zh$$b$;Dh?HFx3#UdO|3rN>tSf?d#0>B8&s%@NlM@YdsU@RgJ}MAJ_hV6|Ecu_O*Oh zAIks2d#{YRb4XTiJu4MIEB?(w*bTKQ6QYaR>?SbmezuwIhl&n|3vS`^q<+c2j2ZFJ z8unty{b1J*#Ty<-(VSX@XsF3 z;79`HSI5|jY9mI8!C@L9o;;c~SGh?=lFcP7FsY0f^1Qb-P1rqq9%);o1HROMi^nQ_m-NN_GIH_pw;2$&sIzUs*K6K7G{`f1x+ zF#S-`)I-{?!(f?O5l3AO-YZR+G=$nmAly`SQVbX z=;0pAe*n@x=Y&%1`TgV#8q$Ft9|@-{$Z00MG~Qo!KB!$gwM@|Q#mkE6l8S@)N)z1O z{b|#1)YlqOf-e?@EhxH#y|3Jbdz&(93|vTp8PeVdi{DbNO|5d zVpN;=_i~iVKR|s<5pnY`3yu9w%Jy`gNRDT(a!&`0jn-`bd!4mI;WwUVp++exKWFJ- zXx4UK`!=%NX(Yv%*uCoVSF@wLI;kZxvAAtwHSI~#_>ex_B@_%vR#8ndDhhR1Wf6#Q z?tX!WDK5_07;>vP&h3NGGLNK@A^!l-YF0#H-(tXQ(U|rskH@q}849r$+J@4(xulGJ zKEX&ID&B0K66s;vqF=Wec8$VM;#fP5_tKCg&V#=|p9jn-Ge0q%KAJa{el!6$O=UU` zo*D0jL;1nLTVlha(!;(?4<4fW(686z84&ra`w0yuREYgN{Y+gSCr!^*6KTQ}yfWK;~kWObZmS~8N zs?kPe&>6m%k1daKWjh<|F)>D4O=*KqYHzH@+t`nAv8y`WHPhEQXk!NL{d#g-|4@%1 z;!jmsPdgJ)C7+1tjsOvlkyZPF;rievtZvc5EKXM_7wCs)V=P%uTafP2tsC_A`rPlt z>tpS=dF!*l>v|%KCk()U#ZSufZF^U!IbSq3V@97hh3-lj?+DdngP)!+8ZQ3htYxwD zkMe>hUE3PQ@%3#jlgezqTYvOW!ZOdFaGK6DA}m#)3hStAQr2r!OY082#NdQ5c!+-) zMYXFXsai85$N!UkXQ{Q3dMDJIan#pml}eh^)Bu>YwQ*nHP2>^` z)>^Z`)XUPAj)AfOm*zy6j&57t=Dn@2$(ia12;!QgsIIB@$iF>jn?B`O)qFI98|+~X zQJpX<#2E)OJy-eOi1F*0n2jqsoBRiGN6FXgos@@tJAbh87IfL+*On1F>^kLD0YXt; 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