From 413d08b4492187d5d541f752bd94ed8df4a0f14b Mon Sep 17 00:00:00 2001 From: xiao Date: Fri, 17 Sep 2021 17:07:55 +0800 Subject: [PATCH] Initial commit --- README.md | 71 ++++++++++++++++++++++ syn/README.md | 19 ++++++ syn/models/pose.mat | Bin 0 -> 1295 bytes syn/smpl_webuser/hello_world/demo_gait.py | 32 ++++++++++ syn/smpl_webuser/serialization_new.py | 0 syn/smpl_webuser/utils.py | 59 ++++++++++++++++++ vis_demo/README.md | 5 ++ vis_demo/demo_misc.png | Bin 0 -> 35771 bytes vis_demo/depth.png | Bin 0 -> 603131 bytes vis_demo/keypoint.json | 1 + vis_demo/mask.png | Bin 0 -> 10194 bytes vis_demo/pointcloud.mat | Bin 0 -> 189992 bytes vis_demo/visualize.m | 62 +++++++++++++++++++ 13 files changed, 249 insertions(+) create mode 100644 README.md create mode 100644 syn/README.md create mode 100644 syn/models/pose.mat create mode 100644 syn/smpl_webuser/hello_world/demo_gait.py create mode 100644 syn/smpl_webuser/serialization_new.py create mode 100644 syn/smpl_webuser/utils.py create mode 100644 vis_demo/README.md create mode 100644 vis_demo/demo_misc.png create mode 100644 vis_demo/depth.png create mode 100644 vis_demo/keypoint.json create mode 100644 vis_demo/mask.png create mode 100644 vis_demo/pointcloud.mat create mode 100644 vis_demo/visualize.m diff --git a/README.md b/README.md new file mode 100644 index 0000000..4cef6b9 --- /dev/null +++ b/README.md @@ -0,0 +1,71 @@ +# ICL-Gait Dataset 1.0 +Release Date: Sept 2021 + +## Primary Contact +**Xiao Gu**, xiao.gu17@imperial.ac.uk Imperial College London + +**Yao Guo**, yao.guo@sjtu.edu.cn Shanghai Jiao Tong University + +## Citing +Please cite the following paper for the use of this dataset + +Gu, Xiao, et al. "Occlusion-Invariant Rotation-Equivariant Semi-Supervised Depth Based Cross-View Gait Pose Estimation." arXiv preprint arXiv:2109.01397 (2021). + +## Supplementary Code +* `vis_demo` provides script to visualize the data from different modalities +* `syn` provides script to generate synthetic data based on SMPL + +## Dataset Details +The dataset contains a real-world gait dataset collected from multiple viewpoints. +Please see our [paper](https://arxiv.org/pdf/2109.01397) and the [website](https://xiaogu.site/ICL_gait) for more details. + +## Data-Split Experiment Settings +Please follow the settings in our [paper](https://arxiv.org/pdf/2109.01397) to benchmark your algorithms. + +### Cross-Subject (CS) Validation (2 loops) +For cross-subject validation, the data were split to two groups {S01, S02, S04, S07}, {S03, S05, S06, S8}. + +Each loop, use one group as training, and the other group as testing set. + +### Cross-View (CV) Validation (5 loops) +For cross-view validation, the data were split based on the five views. + +Each loop, use the data from one view as training, the data from the other views as testing. +### Cross-Subject Cross-View (CS-CV) Validation (10 loops) +For cross-subject & cross-view validation, the data was split to ten subgroups as a combination of CS and CV validation. + +For example, one group is {S01-V01, S02-V01, S04-V01, S07-V01}. In each loop, use one group as the training set, and report the results on the remaining nine groups. + +**You can further split some proportion from the training set as a validation set, but any use of the testing data during training is not allowed.** + + +## Folder Details +### Dataset folder format +S##_V##_C## refers to the data of the trial per subject, condition, and viewpoint. +S##: subject id +V##: viewpoint +C##: walking condition + +Each folder contains 300 consecutive samples from one trial (the remaining samples leading to a much large data volume will be released in the future). +Missing trials (S1-C1-V1, S1-C2-V2, S1-C4-V1, S3-C3-V3, S5-C4-V4, S8-C2-V3, S8-C2-V4, S8-C4-V3, S8-C5-V3) + +* **depth**: contains the depth images recorded by RealSense D435 + + ``` + scale = 0.0010000000474974513; + fx = 928.108; fy = 927.443; + cx = 647.394; cy = 361.699 + ``` +* **mask**: contains the segmentation mask predicted from RGB images (access suspended) by CDCL + ``` + ROI (lower-limb) RGB Value [255,127,127; 0,127,255; 0,0,255; 255,255,127; 127,255,127; 0,255,0] + ``` +* **point cloud**: contains the point cloud converted from depth data, corresponding 3D keypoint, and root orientation + +* **pose_2d**: contains the 2D keypoints predicted by OpenPose + +* **kinematics**: contains the kinematics (randomly picked, not synchronized with the modalities above) which can be used synthetic data generation + + + + diff --git a/syn/README.md b/syn/README.md new file mode 100644 index 0000000..9c5c062 --- /dev/null +++ b/syn/README.md @@ -0,0 +1,19 @@ +# ICL-Gait to SMPL + +We provide the script [utils.py](smpl_webuser/utils.py) for transferring the gait parameter from our dataset to SMPL + +## Usage +* Please download the repository of [SMPL](smpl_webuser/utils.py) + +* Add `models/pose.mat` to `models` of SMPL respository + +* Add `smpl_webuser/hello_world/demo_gait.py` to `smpl_webuser/hello_world/` + +* (optional) replace the `smpl_webuser/serialization.py` by a modified `smpl_webuser/serialization.py` compatible with python3 + +* Running `demo_gait.py`, a synthetic model will be generated automatically + + + + + diff --git a/syn/models/pose.mat b/syn/models/pose.mat new file mode 100644 index 0000000000000000000000000000000000000000..4f3f6e81facc5c30722f9e63c19efc959a35364d GIT binary patch literal 1295 zcmV+q1@QV!K~zjZLLfCRFd$7qR4ry{Y-KDUP;6mzW^ZzBIv`L(S4mDbG%O%Pa%Ew3 zWn>_4ZaN@Fa%mt_WpE%dHy|-JIx{&sFgPGGFfuV9ARr(hARr(hARr(hARr(hARr(h zARr(hARr(hARr(hARr(hARr(B00000000000ZB~{0001o1ONbdoOM)rG+b90f2k$N zSYio+h(oEv#FinpzB@wIRuUCTW0}ySvCPcji0qo!@=uy!+kn`~80RlR*$9Qyf9?2a!N_kqEK9?*sVT z_aBNPEM`oIB)<0f|EJhWu(v|)M2BWA_J)C~yA_@zN zfPd(Sb90B&0ObRNj3cFN66Ozvm^36D1~200bxn@Dz|6H#0oT(E5^YSm$AIFcif$KX z0Q@rXDrvt}(}5Z{{ya9ZjE45LDtdd#!Z~#tg#w*HtTK1=hvd;ZOwz-% zZzypc)pkxwGopAyV!Lm!J#@O6qTAVQPU44l;aM!(^bsnI2ffbp3U7ILK%{fkRf6n^ zqQm7>0Gkf_aw0&d>G(*MGYj~=p zb0w_1s^~x7$8=h^GuG5jfNaY=&I^%VEDb&?b(m$qlIq&wfOK=vl(cfkqlpe0u(!oF 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