Open JhonsonLT opened 10 months ago
(openmmlab) guanhaoliang@scut-X99P-SLI:~/mmpose$ python demo/topdown_demo_with_mmdet.py demo/mmdetection_cfg/rtmdet_m_640-8xb32_coco-person.py https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmdet_m_8xb32-100e_coco-obj365-person-235e8209.pth configs/body_2d_keypoint/rtmpose/body8/rtmpose-m_8xb256-420e_body8-256x192.py https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/rtmpose-m_simcc-body7_pt-body7_420e-256x192-e48f03d0_20230504.pth --input tests/data/coco/000000197388.jpg --show --draw-heatmap --output-root vis_results/ Loads checkpoint by http backend from path: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmdet_m_8xb32-100e_coco-obj365-person-235e8209.pth Loads checkpoint by http backend from path: https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/rtmpose-m_simcc-body7_pt-body7_420e-256x192-e48f03d0_20230504.pth /home/guanhaoliang/.conda/envs/openmmlab/lib/python3.8/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /opt/conda/conda-bld/pytorch_1699449185072/work/aten/src/ATen/native/TensorShape.cpp:3526.) return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined] /home/guanhaoliang/mmpose/mmpose/models/heads/coord_cls_heads/rtmcc_head.py:217: UserWarning: The predicted simcc values are normalized for visualization. This may cause discrepancy between the keypoint scores and the 1D heatmaps. warnings.warn('The predicted simcc values are normalized for ' : cannot connect to X server
(openmmlab) guanhaoliang@scut-X99P-SLI:~/mmpose$ python demo/topdown_demo_with_mmdet.py demo/mmdetection_cfg/rtmdet_m_640-8xb32_coco-person.py https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmdet_m_8xb32-100e_coco-obj365-person-235e8209.pth configs/body_2d_keypoint/rtmpose/body8/rtmpose-m_8xb256-420e_body8-256x192.py https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/rtmpose-m_simcc-body7_pt-body7_420e-256x192-e48f03d0_20230504.pth --input tests/data/coco/000000197388.jpg --show --draw-heatmap --output-root vis_results/ Loads checkpoint by http backend from path: https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmdet_m_8xb32-100e_coco-obj365-person-235e8209.pth Loads checkpoint by http backend from path: https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/rtmpose-m_simcc-body7_pt-body7_420e-256x192-e48f03d0_20230504.pth /home/guanhaoliang/.conda/envs/openmmlab/lib/python3.8/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /opt/conda/conda-bld/pytorch_1699449185072/work/aten/src/ATen/native/TensorShape.cpp:3526.) return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined] /home/guanhaoliang/mmpose/mmpose/models/heads/coord_cls_heads/rtmcc_head.py:217: UserWarning: The predicted simcc values are normalized for visualization. This may cause discrepancy between the keypoint scores and the 1D heatmaps. warnings.warn('The predicted simcc values are normalized for ' : cannot connect to X server