## 3D Human Pose Demo
### 3D Human Pose Two-stage Estimation Image Demo #### Using ground truth 2D poses as the 1st stage (pose detection) result, and inference the 2nd stage (2D-to-3D lifting) We provide a demo script to test on single images with a given ground-truth Json file. ```shell python demo/body3d_two_stage_img_demo.py \ ${MMPOSE_CONFIG_FILE_3D} \ ${MMPOSE_CHECKPOINT_FILE_3D} \ --json-file ${JSON_FILE} \ --img-root ${IMG_ROOT} \ --only-second-stage \ [--show] \ [--device ${GPU_ID or CPU}] \ [--out-img-root ${OUTPUT_DIR}] \ [--rebase-keypoint-height] \ [--show-ground-truth] ``` Example: ```shell python demo/body3d_two_stage_img_demo.py \ configs/body/3d_kpt_sview_rgb_img/pose_lift/h36m/simplebaseline3d_h36m.py \ https://download.openmmlab.com/mmpose/body3d/simple_baseline/simple3Dbaseline_h36m-f0ad73a4_20210419.pth \ --json-file tests/data/h36m/h36m_coco.json \ --img-root tests/data/h36m \ --camera-param-file tests/data/h36m/cameras.pkl \ --only-second-stage \ --out-img-root vis_results \ --rebase-keypoint-height \ --show-ground-truth ``` ### 3D Human Pose Two-stage Estimation Video Demo #### Using mmdet for human bounding box detection and top-down model for the 1st stage (2D pose detection), and inference the 2nd stage (2D-to-3D lifting) Assume that you have already installed [mmdet](https://github.com/open-mmlab/mmdetection). ```shell python demo/body3d_two_stage_video_demo.py \ ${MMDET_CONFIG_FILE} \ ${MMDET_CHECKPOINT_FILE} \ ${MMPOSE_CONFIG_FILE_2D} \ ${MMPOSE_CHECKPOINT_FILE_2D} \ ${MMPOSE_CONFIG_FILE_3D} \ ${MMPOSE_CHECKPOINT_FILE_3D} \ --video-path ${VIDEO_PATH} \ [--rebase-keypoint-height] \ [--norm-pose-2d] \ [--num-poses-vis NUM_POSES_VIS] \ [--show] \ [--out-video-root ${OUT_VIDEO_ROOT}] \ [--device ${GPU_ID or CPU}] \ [--det-cat-id DET_CAT_ID] \ [--bbox-thr BBOX_THR] \ [--kpt-thr KPT_THR] \ [--use-oks-tracking] \ [--tracking-thr TRACKING_THR] \ [--euro] \ [--radius RADIUS] \ [--thickness THICKNESS] ``` Example: ```shell python demo/body3d_two_stage_video_demo.py \ demo/mmdetection_cfg/faster_rcnn_r50_fpn_coco.py \ https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_1x_coco_20200130-047c8118.pth \ configs/body/2d_kpt_sview_rgb_img/topdown_heatmap/coco/hrnet_w48_coco_256x192.py \ https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w48_coco_256x192-b9e0b3ab_20200708.pth \ configs/body/3d_kpt_sview_rgb_vid/video_pose_lift/h36m/videopose3d_h36m_243frames_fullconv_supervised_cpn_ft.py \ https://download.openmmlab.com/mmpose/body3d/videopose/videopose_h36m_243frames_fullconv_supervised_cpn_ft-88f5abbb_20210527.pth \ --video-path demo/resources/.mp4 \ --out-video-root vis_results \ --rebase-keypoint-height ```