crosstyan/RapidPoseTriangulation
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Some more performance improvements.

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This commit is contained in:
Daniel
2024-07-03 11:02:02 +02:00
parent 089fb0b41d
commit 3fcca51d17
4 changed files with 1238 additions and 1236 deletions
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4
scripts/utils_2d_pose.py
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@ -14,8 +14,8 @@ def load_model():
print("Loading mmpose model ...")
model = MMPoseInferencer(
pose2d="/mmpose/projects/rtmpose/rtmpose/body_2d_keypoint/rtmpose-l_8xb256-420e_coco-384x288.py",
pose2d_weights="https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/rtmpose-l_simcc-body7_pt-body7_420e-384x288-3f5a1437_20230504.pth",
pose2d="/mmpose/projects/rtmpose/rtmpose/body_2d_keypoint/rtmpose-m_8xb256-420e_coco-384x288.py",
pose2d_weights="https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/rtmpose-m_simcc-body7_pt-body7_420e-384x288-65e718c4_20230504.pth",
det_model="/mmpose/projects/rtmpose/rtmdet/person/rtmdet_nano_320-8xb32_coco-person.py",
det_weights="https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmdet_nano_8xb32-100e_coco-obj365-person-05d8511e.pth",
det_cat_ids=[0],